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ESP: PubMed Auto Bibliography 06 Apr 2025 at 01:59 Created:
Climate Change
The world is warming up, with 2023 being by far the hottest year
since record keeping began and 2024 shaping up to be hotter yet.
But these changes only involve one or two degrees. What's the big
deal?
The amount of energy required to raise the temperature of one liter
of water by one degree is one kilocalorie (kcal). Scaling up,
the amount of energy required for a one-degree increase in the
water temperature of the Gulf of Mexico is 2,434,000,000,000,000,000 kcals.
That's 25 million times more energy than released by
the WW-II atomic bomb
that destroyed the city of Hiroshima and killed more than 100,000
people.
So, for every one degree increase in water temperature, the Gulf
of Mexico takes on 25-million atomic bombs worth of new energy,
which is then available to fuel hurricanes and other storms.
Maybe a one-degree rise in temperature is a big deal.
Created with PubMed® Query: (( "climate change"[TITLE] OR "global warming"[TITLE] )) NOT pmcbook NOT ispreviousversion
Citations The Papers (from PubMed®)
RevDate: 2025-04-03
Expanding the horizon of interaction modeling in complex systems comment on "Topological change of soil microbiota networks for forest resilience under global warming" by Huiying Gong et al.
Physics of life reviews, 53:279-280 pii:S1571-0645(25)00046-6 [Epub ahead of print].
Additional Links: PMID-40179576
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@article {pmid40179576,
year = {2025},
author = {Fan, X and Wang, Z},
title = {Expanding the horizon of interaction modeling in complex systems comment on "Topological change of soil microbiota networks for forest resilience under global warming" by Huiying Gong et al.},
journal = {Physics of life reviews},
volume = {53},
number = {},
pages = {279-280},
doi = {10.1016/j.plrev.2025.03.016},
pmid = {40179576},
issn = {1873-1457},
}
RevDate: 2025-04-03
Climate change mitigation through irrigation strategies during rice growing season is off-set in fallow season.
Journal of environmental management, 380:125060 pii:S0301-4797(25)01036-9 [Epub ahead of print].
Non-continuous flooding irrigation practices, such as alternate wetting and drying (AWD) and mid-season drainage (MSD), have been implemented in rice agroecosystems to reduce water use and mitigate climate change. Draining fields reduces methane (CH4) emissions, as soil aeration decreases the abundance and activity of soil methanogens. Mitigation effects during the growing season have been widely studied. However, there is a knowledge gap regarding potential effects these growing season practices might have on subsequent fallow season emissions. This is relevant when assessing overall annual CH4 emissions, particularly in systems in which fallow seasons account for a significant part of these. A field experiment was implemented in the Ebro Delta region (Catalonia, Spain) with the objective of identifying potential effects of growing season AWD and MSD on CH4 emitted during the following flooded fallow season, in comparison to continuously flooded fields. Both emissions and the structure of soil microbial communities were analyzed for rice field plots under the assessed irrigation strategies during the growing season and later for a continuously flooded mesocosm across the fallow season. Both practices achieved an average 86% decrease in CH4 fluxes when compared to continuous flooding during the growing season. AWD resulted in the highest fallow season emissions, leading to increases in overall annual cumulative CH4 emissions (+8%), global warming potential (+30%) and yield-scaled global warming potential (+70%) compared to continuous flooding. Growing season AWD decreased the relative abundance of both methanogens and methanotrophs in the fallow season. Reduced methanotroph communities might lead to lower CH4 consumption, resulting in higher fallow season emissions and offsetting the mitigation effect achieved during the growing season. Under the studied conditions, MSD represented a more effective mitigation strategy. These results highlight the importance of considering both rice growing and fallow season when assessing climate change mitigation strategies.
Additional Links: PMID-40179556
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@article {pmid40179556,
year = {2025},
author = {Echeverría-Progulakis, S and Pérez-Méndez, N and Viñas, M and Carreras-Sempere, M and Guivernau, M and Jornet, L and Catala-Forner, M and Martínez-Eixarch, M},
title = {Climate change mitigation through irrigation strategies during rice growing season is off-set in fallow season.},
journal = {Journal of environmental management},
volume = {380},
number = {},
pages = {125060},
doi = {10.1016/j.jenvman.2025.125060},
pmid = {40179556},
issn = {1095-8630},
abstract = {Non-continuous flooding irrigation practices, such as alternate wetting and drying (AWD) and mid-season drainage (MSD), have been implemented in rice agroecosystems to reduce water use and mitigate climate change. Draining fields reduces methane (CH4) emissions, as soil aeration decreases the abundance and activity of soil methanogens. Mitigation effects during the growing season have been widely studied. However, there is a knowledge gap regarding potential effects these growing season practices might have on subsequent fallow season emissions. This is relevant when assessing overall annual CH4 emissions, particularly in systems in which fallow seasons account for a significant part of these. A field experiment was implemented in the Ebro Delta region (Catalonia, Spain) with the objective of identifying potential effects of growing season AWD and MSD on CH4 emitted during the following flooded fallow season, in comparison to continuously flooded fields. Both emissions and the structure of soil microbial communities were analyzed for rice field plots under the assessed irrigation strategies during the growing season and later for a continuously flooded mesocosm across the fallow season. Both practices achieved an average 86% decrease in CH4 fluxes when compared to continuous flooding during the growing season. AWD resulted in the highest fallow season emissions, leading to increases in overall annual cumulative CH4 emissions (+8%), global warming potential (+30%) and yield-scaled global warming potential (+70%) compared to continuous flooding. Growing season AWD decreased the relative abundance of both methanogens and methanotrophs in the fallow season. Reduced methanotroph communities might lead to lower CH4 consumption, resulting in higher fallow season emissions and offsetting the mitigation effect achieved during the growing season. Under the studied conditions, MSD represented a more effective mitigation strategy. These results highlight the importance of considering both rice growing and fallow season when assessing climate change mitigation strategies.},
}
RevDate: 2025-04-04
A Dark Future of Endangered Mountain Species, Parnassius bremeri, Under Climate Change.
Ecology and evolution, 15(4):e71178.
Climate and land-use changes are key factors in the habitat loss and population declines of climate change-sensitive endangered species. We assessed the climate change effects on the distribution of Parnassius bremeri, a critically endangered wildlife species in the Republic of Korea, in association with food availability (Sedum kamtschaticum and Sedum aizoon), land-use change, and dispersal limitation. We first predicted the current and future distributions of P. bremeri, S. kamtschaticum, and S. aizoon using the presence/absence data and current (2000) and future climate data (2050, 2100) with BioMod2, an ensemble platform for species distribution model projections. Then, the dispersal capacity of P. bremeri and land-use change were coupled with SDMs using MigClim. We used future climate and land-use changes predicted according to the SSP scenarios (SSP1-2.6, SSP2-4.5, and SSP3-7.0) and the dispersal model estimated from previous studies. The current distributional areas of P. bremeri were predicted to be about 10,956 km[2] without land-cover coupling and 8.861 km[2] with coupling, showing land-cover decreased by about 19% of the suitable habitat. The future predictions under climate change only showed the distribution reduced by 56% and 50% in 2050 and 2100 under SSP1-2.6, respectively, 55% and 48% under SSP2-4.5, and 44% and 14% under SSP3-7.0. Applying land-use change and dispersal capacity further decreased the future distribution of P. bremeri but trivially (about 0.42% on average). The strict conservation policies and measures for P. bremeri's habitats explain the trivial additional decrease, delaying its habitat loss. However, our results suggest that such efforts cannot halt the climate change-driven habitat loss trend of P. bremeri. Strong climate mitigation efforts and promoting the species' adaptive capacity are the only ways to reverse the tragic decline of climate-sensitive species.
Additional Links: PMID-40177682
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@article {pmid40177682,
year = {2025},
author = {Koo, KA and Park, SU},
title = {A Dark Future of Endangered Mountain Species, Parnassius bremeri, Under Climate Change.},
journal = {Ecology and evolution},
volume = {15},
number = {4},
pages = {e71178},
pmid = {40177682},
issn = {2045-7758},
abstract = {Climate and land-use changes are key factors in the habitat loss and population declines of climate change-sensitive endangered species. We assessed the climate change effects on the distribution of Parnassius bremeri, a critically endangered wildlife species in the Republic of Korea, in association with food availability (Sedum kamtschaticum and Sedum aizoon), land-use change, and dispersal limitation. We first predicted the current and future distributions of P. bremeri, S. kamtschaticum, and S. aizoon using the presence/absence data and current (2000) and future climate data (2050, 2100) with BioMod2, an ensemble platform for species distribution model projections. Then, the dispersal capacity of P. bremeri and land-use change were coupled with SDMs using MigClim. We used future climate and land-use changes predicted according to the SSP scenarios (SSP1-2.6, SSP2-4.5, and SSP3-7.0) and the dispersal model estimated from previous studies. The current distributional areas of P. bremeri were predicted to be about 10,956 km[2] without land-cover coupling and 8.861 km[2] with coupling, showing land-cover decreased by about 19% of the suitable habitat. The future predictions under climate change only showed the distribution reduced by 56% and 50% in 2050 and 2100 under SSP1-2.6, respectively, 55% and 48% under SSP2-4.5, and 44% and 14% under SSP3-7.0. Applying land-use change and dispersal capacity further decreased the future distribution of P. bremeri but trivially (about 0.42% on average). The strict conservation policies and measures for P. bremeri's habitats explain the trivial additional decrease, delaying its habitat loss. However, our results suggest that such efforts cannot halt the climate change-driven habitat loss trend of P. bremeri. Strong climate mitigation efforts and promoting the species' adaptive capacity are the only ways to reverse the tragic decline of climate-sensitive species.},
}
RevDate: 2025-04-04
Editorial: One Health approaches and modeling in parasitology in the climate change framework and possible supporting tools adopting GIS and remote sensing.
Frontiers in parasitology, 4:1560799.
Additional Links: PMID-40177234
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@article {pmid40177234,
year = {2025},
author = {Orusa, T and Viani, A and d'Alessio, SG and Orusa, R and Caminade, C},
title = {Editorial: One Health approaches and modeling in parasitology in the climate change framework and possible supporting tools adopting GIS and remote sensing.},
journal = {Frontiers in parasitology},
volume = {4},
number = {},
pages = {1560799},
pmid = {40177234},
issn = {2813-2424},
}
RevDate: 2025-04-04
Unraveling metabolic shifts in peach under agrochemical treatments during flower bud endodormancy in the context of global warming.
Frontiers in plant science, 16:1502436.
INTRODUCTION: In Mediterranean areas like Spain, global warming has endangered stone fruit production by reducing chill accumulation, leading to significant agronomical and economical losses. To mitigate this issue, agrochemicals have been applied for decades to promote endodormancy release and initiate flowering. However, many of these chemicals have been associated with strong phytotoxicity, resulting in their recent ban. As a result, identifying novel pathways to modulate endodormancy release is critical and essential for developing effective, non-toxic agrobiochemicals.
METHODS: In this study, we investigated the effect of two different agrochemicals mixes: 1% Broston[®] + 5% NitroActive[®] and 3% Erger[®] + 5% Activ Erger[®], sprayed on peach trees during endodormancy over two years, followed by non-target metabolomic analyses on flower buds to identify metabolic changes in treated versus control trees.
RESULTS AND DISCUSSION: Significant variations were observed in metabolites from the abscisic acid and phenylpropanoid pathways. Notably, six types of phospholipids were identified, with most increasing exclusively in treated samples during endodormancy release. These results were in concomitance with the increased expression of 4-coumarate-CoA ligase 1, 9-cis-epoxycarotenoid dioxygenase, and xanthoxin dehydrogenase genes. In a subsequent validation experiment performed in the third year, branches treated with phospholipids and cinnamic, caffeic, and abscisic acids advanced endodormancy release by one to two weeks, which represents the first evidence of endodormancy release modulation by the use of these metabolites. Moreover, this study contributes to our understanding of the biochemical mechanisms involved in endodormancy release and highlights the potential of phenylpropanoids, phospholipids, and related compounds as targets for developing sustainable agrochemicals, addressing challenges posed by climate change to Prunus spp. cultivation.
Additional Links: PMID-40177021
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Citation:
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@article {pmid40177021,
year = {2025},
author = {Guillamón, JG and Yuste, JE and López-Alcolea, J and Dicenta, F and Sánchez-Pérez, R},
title = {Unraveling metabolic shifts in peach under agrochemical treatments during flower bud endodormancy in the context of global warming.},
journal = {Frontiers in plant science},
volume = {16},
number = {},
pages = {1502436},
pmid = {40177021},
issn = {1664-462X},
abstract = {INTRODUCTION: In Mediterranean areas like Spain, global warming has endangered stone fruit production by reducing chill accumulation, leading to significant agronomical and economical losses. To mitigate this issue, agrochemicals have been applied for decades to promote endodormancy release and initiate flowering. However, many of these chemicals have been associated with strong phytotoxicity, resulting in their recent ban. As a result, identifying novel pathways to modulate endodormancy release is critical and essential for developing effective, non-toxic agrobiochemicals.
METHODS: In this study, we investigated the effect of two different agrochemicals mixes: 1% Broston[®] + 5% NitroActive[®] and 3% Erger[®] + 5% Activ Erger[®], sprayed on peach trees during endodormancy over two years, followed by non-target metabolomic analyses on flower buds to identify metabolic changes in treated versus control trees.
RESULTS AND DISCUSSION: Significant variations were observed in metabolites from the abscisic acid and phenylpropanoid pathways. Notably, six types of phospholipids were identified, with most increasing exclusively in treated samples during endodormancy release. These results were in concomitance with the increased expression of 4-coumarate-CoA ligase 1, 9-cis-epoxycarotenoid dioxygenase, and xanthoxin dehydrogenase genes. In a subsequent validation experiment performed in the third year, branches treated with phospholipids and cinnamic, caffeic, and abscisic acids advanced endodormancy release by one to two weeks, which represents the first evidence of endodormancy release modulation by the use of these metabolites. Moreover, this study contributes to our understanding of the biochemical mechanisms involved in endodormancy release and highlights the potential of phenylpropanoids, phospholipids, and related compounds as targets for developing sustainable agrochemicals, addressing challenges posed by climate change to Prunus spp. cultivation.},
}
RevDate: 2025-04-04
Morphology and pomological characterization of bael [Aegle marmelos (L.) Correa] genotypes for climate change mitigation under north-western Himalayas.
Frontiers in plant science, 16:1496769.
This study investigated the genetic diversity of 80 wild bael genotypes (Aegle marmelos) compared to commercial cultivars NB-5 and NB-9, focusing on 16 pomological traits. With the rising temperature impacting perennial fruit crop production and the urgent need for heat- and drought-resistant varieties, bael emerges as a viable option for rainfed areas due to its xerophytic characteristics and ability to withstand high temperatures. Among the collected, wild bael genotype germplasm, JMU-Bael (Sel-27) demonstrated superior traits, including maximum fruit length (12.05 cm), width (11.72 cm), weight (917.65 g), pulp weight (746.81 g), and pulp percentage (81.38%). Correlation matrices revealed significant associations among pomological traits, particularly positive correlations with fruit weight. Principal component analysis (PCA) indicated substantial genetic diversity, with the first two components explaining 63.98% of the cumulative variation. Cluster analysis grouped genotypes into two main clusters, providing insights into their diversity and potential breeding applications. This comprehensive analysis offers valuable insights into the genetic variability and adaptability of bael genotypes under changing climatic conditions in the plains of north-western Himalayan regions.
Additional Links: PMID-40177020
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@article {pmid40177020,
year = {2025},
author = {Singh, P and Sharma, A and Gupta, SK and Salgotra, RK and Gupta, V and Sharma, M},
title = {Morphology and pomological characterization of bael [Aegle marmelos (L.) Correa] genotypes for climate change mitigation under north-western Himalayas.},
journal = {Frontiers in plant science},
volume = {16},
number = {},
pages = {1496769},
pmid = {40177020},
issn = {1664-462X},
abstract = {This study investigated the genetic diversity of 80 wild bael genotypes (Aegle marmelos) compared to commercial cultivars NB-5 and NB-9, focusing on 16 pomological traits. With the rising temperature impacting perennial fruit crop production and the urgent need for heat- and drought-resistant varieties, bael emerges as a viable option for rainfed areas due to its xerophytic characteristics and ability to withstand high temperatures. Among the collected, wild bael genotype germplasm, JMU-Bael (Sel-27) demonstrated superior traits, including maximum fruit length (12.05 cm), width (11.72 cm), weight (917.65 g), pulp weight (746.81 g), and pulp percentage (81.38%). Correlation matrices revealed significant associations among pomological traits, particularly positive correlations with fruit weight. Principal component analysis (PCA) indicated substantial genetic diversity, with the first two components explaining 63.98% of the cumulative variation. Cluster analysis grouped genotypes into two main clusters, providing insights into their diversity and potential breeding applications. This comprehensive analysis offers valuable insights into the genetic variability and adaptability of bael genotypes under changing climatic conditions in the plains of north-western Himalayan regions.},
}
RevDate: 2025-04-04
Prediction of potential habitat of Verbena officinalis in China under climate change based on optimized MaxEnt model.
Frontiers in plant science, 16:1563070.
Verbena officinalis is an important medicinal plant widely used in traditional Chinese medicine for the treatment of rheumatism, insomnia, and liver and gallbladder diseases. Its resources primarily rely on wild populations, which are insufficient to meet the increasing market demand. Furthermore, climate change exacerbates the uncertainty of its distribution range. This study employs an optimized MaxEnt model to predict the potential distribution of V. officinalis under current and future climate scenarios in China. Based on 445 effective occurrence records and 90 environmental variables (covering climatic, soil, and topographic factors), the study selected key variables influencing the distribution through correlation analysis and variable contribution rates, and optimized model parameters to improve prediction accuracy (AUC = 0.934). Results showed that, under current climate conditions, the total suitable habitat area of V. officinalis is 2.06 × 10[6] km[2], accounting for 21.39% of China's land area, mainly distributed in central, eastern, and southern China. The minimum temperature of the coldest month (bio_6, contribution rate 72.8%) was identified as the key factor influencing distribution, while November precipitation (prec_11) and annual temperature range (bio_7) also played important roles. Under future climate change scenarios (SSP1-2.6 and SSP5-8.5), the total suitable habitat area shows an overall increasing trend, reaching a maximum in the 2070s under the high-emission scenario (an increase of 3.6 × 10[5] km[2] compared to the current distribution). Expansion was primarily observed in northern high-latitude regions. The geometric centroid of suitable areas demonstrated a significant northward shift, reflecting the adaptive expansion potential of V. officinalis in response to warming climates. This study highlights the significant impact of temperature and precipitation on the distribution of V. officinalis and provides scientific evidence for its conservation, cultivation planning, and sustainable development in the context of climate change.
Additional Links: PMID-40177015
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@article {pmid40177015,
year = {2025},
author = {Chen, S and Jiang, Z and Song, J and Xie, T and Xue, Y and Yang, Q},
title = {Prediction of potential habitat of Verbena officinalis in China under climate change based on optimized MaxEnt model.},
journal = {Frontiers in plant science},
volume = {16},
number = {},
pages = {1563070},
pmid = {40177015},
issn = {1664-462X},
abstract = {Verbena officinalis is an important medicinal plant widely used in traditional Chinese medicine for the treatment of rheumatism, insomnia, and liver and gallbladder diseases. Its resources primarily rely on wild populations, which are insufficient to meet the increasing market demand. Furthermore, climate change exacerbates the uncertainty of its distribution range. This study employs an optimized MaxEnt model to predict the potential distribution of V. officinalis under current and future climate scenarios in China. Based on 445 effective occurrence records and 90 environmental variables (covering climatic, soil, and topographic factors), the study selected key variables influencing the distribution through correlation analysis and variable contribution rates, and optimized model parameters to improve prediction accuracy (AUC = 0.934). Results showed that, under current climate conditions, the total suitable habitat area of V. officinalis is 2.06 × 10[6] km[2], accounting for 21.39% of China's land area, mainly distributed in central, eastern, and southern China. The minimum temperature of the coldest month (bio_6, contribution rate 72.8%) was identified as the key factor influencing distribution, while November precipitation (prec_11) and annual temperature range (bio_7) also played important roles. Under future climate change scenarios (SSP1-2.6 and SSP5-8.5), the total suitable habitat area shows an overall increasing trend, reaching a maximum in the 2070s under the high-emission scenario (an increase of 3.6 × 10[5] km[2] compared to the current distribution). Expansion was primarily observed in northern high-latitude regions. The geometric centroid of suitable areas demonstrated a significant northward shift, reflecting the adaptive expansion potential of V. officinalis in response to warming climates. This study highlights the significant impact of temperature and precipitation on the distribution of V. officinalis and provides scientific evidence for its conservation, cultivation planning, and sustainable development in the context of climate change.},
}
RevDate: 2025-04-03
Microbial solutions for climate change require global partnership.
Additional Links: PMID-40176258
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PubMed:
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@article {pmid40176258,
year = {2025},
author = {Lennon, JT and Rappuoli, R and Bloom, DE and Brooke, C and Burckhardt, RM and Dangour, AD and Egamberdieva, D and Gronvall, GK and Lawley, TD and Morhard, R and Mukhopadhyay, A and Peixoto, RS and Silver, PA and Sperandio, V and Stein, LY and Nguyen, NK},
title = {Microbial solutions for climate change require global partnership.},
journal = {mBio},
volume = {},
number = {},
pages = {e0077825},
doi = {10.1128/mbio.00778-25},
pmid = {40176258},
issn = {2150-7511},
}
RevDate: 2025-04-03
Effects of Climate Change Scenarios on Population and Distribution Pattern of Tree-Ferns in Nepal.
Ecology and evolution, 15(4):e71179.
By studying the population structure and spatial characteristics, the relationship between tree-ferns and the environment can be reflected, which has high practical significance. In this study, we employed an ensemble distribution model to evaluate the relative contribution of various environmental variables and predict suitable habitats for tree-fern across past, present, and future periods. Fieldwork was carried out between May-June 2019 and September 2022 in 11 districts of Nepal for population sampling and collecting the geocoordinates. Additional geocoordinates were collected from secondary sources such as previous literature, herbarium records, and online resources. We reported the occurrence of tree-ferns from 28 districts within the altitudinal range of 300-2500 m. Longitudinally, the species is distributed only in central and eastern Nepal, with maximum density in central Nepal's Kaski and Lamjung districts. The central mid-hills of Koshi and Gandaki provinces, particularly with the moist habitats and maximum rainfall, are suitable for the distribution of tree-ferns. The projected distribution is influenced mainly by the mean temperature of the coldest quarter-Bio11 (34.9%), precipitation in dry months-Bio14 (34.5%), and mean annual temperature-Bio1 (33.9%). Climate extreme variables (maximum temperature in warmest months-Bio5, minimum temperature in coldest months-Bio6, precipitation in wettest months-Bio13, precipitation in wettest quarter-Bio16) contract the future distribution of species. The result portrays an expansion of suitable habitat for tree-ferns while minor contractions are predicted in four districts of Bagmati province. As the Gandaki province receives the highest rainfall and the Koshi province has rich soil moisture, and precipitation plays a significant role in distribution, humid riverine places of Koshi and Gandaki support tree-fern populations. Tree-ferns could be an indicator species of the moist and humid climate. Given the extensive distribution in Nepal, India, and China, sustainable conservation of tree-ferns through a species conservation action plan holds broader implications.
Additional Links: PMID-40170834
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@article {pmid40170834,
year = {2025},
author = {Kunwar, RM and Khadka, D and Thapa-Magar, K and Adhikari, B and Kutal, DH and Ghimire, R and Kafle, KR and Baral, S and Thapa, GJ and Bhandari, A},
title = {Effects of Climate Change Scenarios on Population and Distribution Pattern of Tree-Ferns in Nepal.},
journal = {Ecology and evolution},
volume = {15},
number = {4},
pages = {e71179},
pmid = {40170834},
issn = {2045-7758},
abstract = {By studying the population structure and spatial characteristics, the relationship between tree-ferns and the environment can be reflected, which has high practical significance. In this study, we employed an ensemble distribution model to evaluate the relative contribution of various environmental variables and predict suitable habitats for tree-fern across past, present, and future periods. Fieldwork was carried out between May-June 2019 and September 2022 in 11 districts of Nepal for population sampling and collecting the geocoordinates. Additional geocoordinates were collected from secondary sources such as previous literature, herbarium records, and online resources. We reported the occurrence of tree-ferns from 28 districts within the altitudinal range of 300-2500 m. Longitudinally, the species is distributed only in central and eastern Nepal, with maximum density in central Nepal's Kaski and Lamjung districts. The central mid-hills of Koshi and Gandaki provinces, particularly with the moist habitats and maximum rainfall, are suitable for the distribution of tree-ferns. The projected distribution is influenced mainly by the mean temperature of the coldest quarter-Bio11 (34.9%), precipitation in dry months-Bio14 (34.5%), and mean annual temperature-Bio1 (33.9%). Climate extreme variables (maximum temperature in warmest months-Bio5, minimum temperature in coldest months-Bio6, precipitation in wettest months-Bio13, precipitation in wettest quarter-Bio16) contract the future distribution of species. The result portrays an expansion of suitable habitat for tree-ferns while minor contractions are predicted in four districts of Bagmati province. As the Gandaki province receives the highest rainfall and the Koshi province has rich soil moisture, and precipitation plays a significant role in distribution, humid riverine places of Koshi and Gandaki support tree-fern populations. Tree-ferns could be an indicator species of the moist and humid climate. Given the extensive distribution in Nepal, India, and China, sustainable conservation of tree-ferns through a species conservation action plan holds broader implications.},
}
RevDate: 2025-04-01
Modeling climate change effects on some biochemical parameters in horse.
Research in veterinary science, 189:105630 pii:S0034-5288(25)00104-3 [Epub ahead of print].
Changes in the global climate pose a severe threat to human and animal welfare and productivity. Total proteins (TP), globulins (GLOB), albumins (ALB), alkaline phosphatase (ALP), creatine kinase (CK), lactate dehydrogenase (LDH), aspartate aminotransferase (AST), blood urea nitrogen (BUN), γ-glutamyl transferase (GGT), and creatinine (CREA) were evaluated during a three-year monitoring period (2021-23) on 16 Thoroughbred retired mares from the regional Golkoy Breeding Farm in Kastamonu- Turkey. The following thermal and hygrometric parameters were gathered: ambient temperature (AT), relative humidity (RH) and ventilation (VT), and the Temperature-Humidity Index (THI) was then calculated. Blood samples were collected on the first of each month from January 2021 to December 2023 and the obtained serum was used for the analysis, variations in environmental parameters were correlated to changes in biochemical profile. Two-way for repeated measure ANOVA showed a significant effect of month for AT (<0.0001), RH (<0.0001), and THI (<0.0001), and on TP (p < 0.001), GLOB (p < 0.001), ALB (p < 0.0001), ALP (p < 0.01), CK (p < 0.01), LDH (p < 0.001), AST (p < 0.0001), BUN (p < 0.0001), GGT (p < 0.0001), and CREA (p < 0.0001). ALP, CK, LDH, AST, and BUN values increased during the hottest periods, while GGT showed decreasing values during the summer. CREA showed positive correlation with AT, and LDH and CREA exhibited negative correlation with RH. These results may be useful for the monitoring of horses' physiological conditions as a result of climate change.
Additional Links: PMID-40168832
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@article {pmid40168832,
year = {2025},
author = {Deniz, Ö and Aragona, F and Pezzino, G and Cancellieri, E and Bozaci, S and Tümer, KÇ and Fazio, F},
title = {Modeling climate change effects on some biochemical parameters in horse.},
journal = {Research in veterinary science},
volume = {189},
number = {},
pages = {105630},
doi = {10.1016/j.rvsc.2025.105630},
pmid = {40168832},
issn = {1532-2661},
abstract = {Changes in the global climate pose a severe threat to human and animal welfare and productivity. Total proteins (TP), globulins (GLOB), albumins (ALB), alkaline phosphatase (ALP), creatine kinase (CK), lactate dehydrogenase (LDH), aspartate aminotransferase (AST), blood urea nitrogen (BUN), γ-glutamyl transferase (GGT), and creatinine (CREA) were evaluated during a three-year monitoring period (2021-23) on 16 Thoroughbred retired mares from the regional Golkoy Breeding Farm in Kastamonu- Turkey. The following thermal and hygrometric parameters were gathered: ambient temperature (AT), relative humidity (RH) and ventilation (VT), and the Temperature-Humidity Index (THI) was then calculated. Blood samples were collected on the first of each month from January 2021 to December 2023 and the obtained serum was used for the analysis, variations in environmental parameters were correlated to changes in biochemical profile. Two-way for repeated measure ANOVA showed a significant effect of month for AT (<0.0001), RH (<0.0001), and THI (<0.0001), and on TP (p < 0.001), GLOB (p < 0.001), ALB (p < 0.0001), ALP (p < 0.01), CK (p < 0.01), LDH (p < 0.001), AST (p < 0.0001), BUN (p < 0.0001), GGT (p < 0.0001), and CREA (p < 0.0001). ALP, CK, LDH, AST, and BUN values increased during the hottest periods, while GGT showed decreasing values during the summer. CREA showed positive correlation with AT, and LDH and CREA exhibited negative correlation with RH. These results may be useful for the monitoring of horses' physiological conditions as a result of climate change.},
}
RevDate: 2025-04-01
Relationships between heavy metal migration in soils and landslide dynamics under conditions of modern climate change: A case study of Lake Baikal, Olkhon Island.
The Science of the total environment, 975:179285 pii:S0048-9697(25)00921-0 [Epub ahead of print].
The problem of studying landslide processes has attracted worldwide attention due to both the increase in human activities. New data for environmental monitoring of the Lake Baikal coast were obtained. The main goal aims to establish relationships between modern climate changes and the landslide process dynamics, as expressed in the assessment of Hg, Pb, Cd contamination levels, the identification of their possible sources and interelemental relationships, as well as the evaluation of some natural factors. Some improvements to previously developed analytical and physical-mechanical techniques have been made, which have enabled to improve some statistical characteristics for the analytical methods, as well as to achieve uniform moisture distribution throughout the tested sample to the specified values. The coastal zone was classified as moderately to heavily contaminated by Hg (2.97) and Pb (2.08) using the Cf method. The EF and Igeo methods indicated that a significant amount of Hg and Pb was probably from anthropogenic sources. The PCA indicated a strong inverse relationship between Hg and Cd (-0.833) in the landslide zone (L3 site) and a perfect positive relationship in the coastal zone (0.992) that suggests different sources and pathways. A change in soil temperature to positive values (from 0.6 to 1.1 °C) leads to an increase in the depth of thawing, which results in a lowering of the permafrost roof. This proves that permafrost rocks influence landslide activation, which in turn leads to migration of heavy metals in the landslide. These conclusions are fully consistent with the main goal of the study and the proposed hypotheses. These findings can help the authorities of the National Parks and other individuals in charge of making decisions regulate the anthropogenic load on the ecosystem of Olkhon Island and generally the Baikal region.
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@article {pmid40168737,
year = {2025},
author = {Cherkashina, TY and Svetlakov, AA and Pellinen, VA and Cherkashin, EA},
title = {Relationships between heavy metal migration in soils and landslide dynamics under conditions of modern climate change: A case study of Lake Baikal, Olkhon Island.},
journal = {The Science of the total environment},
volume = {975},
number = {},
pages = {179285},
doi = {10.1016/j.scitotenv.2025.179285},
pmid = {40168737},
issn = {1879-1026},
abstract = {The problem of studying landslide processes has attracted worldwide attention due to both the increase in human activities. New data for environmental monitoring of the Lake Baikal coast were obtained. The main goal aims to establish relationships between modern climate changes and the landslide process dynamics, as expressed in the assessment of Hg, Pb, Cd contamination levels, the identification of their possible sources and interelemental relationships, as well as the evaluation of some natural factors. Some improvements to previously developed analytical and physical-mechanical techniques have been made, which have enabled to improve some statistical characteristics for the analytical methods, as well as to achieve uniform moisture distribution throughout the tested sample to the specified values. The coastal zone was classified as moderately to heavily contaminated by Hg (2.97) and Pb (2.08) using the Cf method. The EF and Igeo methods indicated that a significant amount of Hg and Pb was probably from anthropogenic sources. The PCA indicated a strong inverse relationship between Hg and Cd (-0.833) in the landslide zone (L3 site) and a perfect positive relationship in the coastal zone (0.992) that suggests different sources and pathways. A change in soil temperature to positive values (from 0.6 to 1.1 °C) leads to an increase in the depth of thawing, which results in a lowering of the permafrost roof. This proves that permafrost rocks influence landslide activation, which in turn leads to migration of heavy metals in the landslide. These conclusions are fully consistent with the main goal of the study and the proposed hypotheses. These findings can help the authorities of the National Parks and other individuals in charge of making decisions regulate the anthropogenic load on the ecosystem of Olkhon Island and generally the Baikal region.},
}
RevDate: 2025-04-03
Assessing the Effects of Climate Change and Air Pollution on Soil Properties and Plant Diversity in Northeastern U.S. Hardwood Forests: Model Setup and Evaluation.
Water, air, and soil pollution, 230:1-33.
The integrated forest ecosystem model ForSAFE-Veg was used to simulate soil processes and understory vegetation composition at three-sugar maple, beech, yellow birch-hardwood forest sites in the Northeastern United States (one at Hubbard Brook, NH, and two at Bear Brook, ME). Input data were pooled from a variety of sources and proved coherent and consistent. While the biogeochemical component ForSAFE was used with limited calibration, the ground vegetation composition module Veg was calibrated to field relevés. Evaluating different simulated ecosystem indicators (soil solution chemistry, tree biomass, ground vegetation composition) showed that the model performed comparably well regardless of the site's soil condition, climate, and amounts of nitrogen (N) and sulfur (S) deposition, with the exception of failing to capture tree biomass decline at Hubbard Brook. The model performed better when compared with annual observation than monthly data. The results support the assumption that the biogeochemical model ForSAFE can be used with limited calibration and provide reasonable confidence, while the vegetation community composition module Veg requires calibration if the individual plant species are of interest. The study welcomes recent advances in empirically explaining the responses of hardwood forests to nutrient imbalances and points to the need for more research.
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@article {pmid40170681,
year = {2019},
author = {Belyazid, S and Phelan, J and Nihlgård, B and Sverdrup, H and Driscoll, C and Fernandez, I and Aherne, J and Teeling-Adams, LM and Bailey, S and Arsenault, M and Cleavitt, N and Engstrom, B and Dennis, R and Sperduto, D and Werier, D and Clark, C},
title = {Assessing the Effects of Climate Change and Air Pollution on Soil Properties and Plant Diversity in Northeastern U.S. Hardwood Forests: Model Setup and Evaluation.},
journal = {Water, air, and soil pollution},
volume = {230},
number = {},
pages = {1-33},
pmid = {40170681},
issn = {0049-6979},
support = {EPA999999/ImEPA/Intramural EPA/United States ; },
abstract = {The integrated forest ecosystem model ForSAFE-Veg was used to simulate soil processes and understory vegetation composition at three-sugar maple, beech, yellow birch-hardwood forest sites in the Northeastern United States (one at Hubbard Brook, NH, and two at Bear Brook, ME). Input data were pooled from a variety of sources and proved coherent and consistent. While the biogeochemical component ForSAFE was used with limited calibration, the ground vegetation composition module Veg was calibrated to field relevés. Evaluating different simulated ecosystem indicators (soil solution chemistry, tree biomass, ground vegetation composition) showed that the model performed comparably well regardless of the site's soil condition, climate, and amounts of nitrogen (N) and sulfur (S) deposition, with the exception of failing to capture tree biomass decline at Hubbard Brook. The model performed better when compared with annual observation than monthly data. The results support the assumption that the biogeochemical model ForSAFE can be used with limited calibration and provide reasonable confidence, while the vegetation community composition module Veg requires calibration if the individual plant species are of interest. The study welcomes recent advances in empirically explaining the responses of hardwood forests to nutrient imbalances and points to the need for more research.},
}
RevDate: 2025-04-01
CmpDate: 2025-04-01
Impact of climate change on the distribution range and niche dynamics of Himalayan Aconites: a highly important medicinal plant species of the higher Himalayan range.
Environmental monitoring and assessment, 197(4):496 pii:10.1007/s10661-025-13848-3.
Alpine vegetation found in mountainous areas is reportedly sensitive to the expected heat caused by climate change. Aconitum species, which is an indicator species for monitoring the signal of climate change, also falls under this range. Aconitum heterophyllum and Aconitum balfourii thrive among diverse plant communities and serve as key species marking the onset of the alpine range. The current study uses the maximum entropy (MaxEnt) program to estimate the geographic distribution of Aconitum taxa for the present and the future (RCPs 2.6-8.5 encompassing 2050). The final model that was obtained had an area under the ROC curve AUC of 0.95, demonstrating the model's resilience. Species distribution modeling (SDM) toolbox was used to evaluate changes in the habitat appropriateness, area expansion, and contraction based on the MaxEnt model. Future forecasts indicate that the Eastern Himalayas would be a more favorable environment for both Aconitum species when compared to the Western Himalayas. According to our best knowledge, this package was used for the first time in the study to evaluate the dynamics of the climatic niches of two critically endangered Aconitum species for the Indian Himalayan ranges. The climatic niche of this alpine species is expected to shift in the future due to alterations in its habitat regions. The Aconitum niche is in danger under scenarios of future climate change, according to the AUC and Jackknife values. The findings of the current study contribute substantially to understanding how climate change affects the Himalayas and have broad implications for the development of scientifically sound adaptation and mitigation measures, as the major factors influencing its distribution are altitude, snow cover, chilling hours for both seeds and tubers, temperature, and rainfall patterns.
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@article {pmid40167816,
year = {2025},
author = {Chauhan, J and Purohit, VK and Patni, B and Charles, B and Prasad, P},
title = {Impact of climate change on the distribution range and niche dynamics of Himalayan Aconites: a highly important medicinal plant species of the higher Himalayan range.},
journal = {Environmental monitoring and assessment},
volume = {197},
number = {4},
pages = {496},
doi = {10.1007/s10661-025-13848-3},
pmid = {40167816},
issn = {1573-2959},
mesh = {*Climate Change ; *Aconitum ; *Ecosystem ; *Plants, Medicinal ; India ; Environmental Monitoring/methods ; Altitude ; },
abstract = {Alpine vegetation found in mountainous areas is reportedly sensitive to the expected heat caused by climate change. Aconitum species, which is an indicator species for monitoring the signal of climate change, also falls under this range. Aconitum heterophyllum and Aconitum balfourii thrive among diverse plant communities and serve as key species marking the onset of the alpine range. The current study uses the maximum entropy (MaxEnt) program to estimate the geographic distribution of Aconitum taxa for the present and the future (RCPs 2.6-8.5 encompassing 2050). The final model that was obtained had an area under the ROC curve AUC of 0.95, demonstrating the model's resilience. Species distribution modeling (SDM) toolbox was used to evaluate changes in the habitat appropriateness, area expansion, and contraction based on the MaxEnt model. Future forecasts indicate that the Eastern Himalayas would be a more favorable environment for both Aconitum species when compared to the Western Himalayas. According to our best knowledge, this package was used for the first time in the study to evaluate the dynamics of the climatic niches of two critically endangered Aconitum species for the Indian Himalayan ranges. The climatic niche of this alpine species is expected to shift in the future due to alterations in its habitat regions. The Aconitum niche is in danger under scenarios of future climate change, according to the AUC and Jackknife values. The findings of the current study contribute substantially to understanding how climate change affects the Himalayas and have broad implications for the development of scientifically sound adaptation and mitigation measures, as the major factors influencing its distribution are altitude, snow cover, chilling hours for both seeds and tubers, temperature, and rainfall patterns.},
}
MeSH Terms:
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*Climate Change
*Aconitum
*Ecosystem
*Plants, Medicinal
India
Environmental Monitoring/methods
Altitude
RevDate: 2025-04-02
How mathematical models might predict desertification from global warming and dust pollutants.
MethodsX, 14:103259.
Global warming and dust pollutants endanger humans and the ecosystem. One very efficient way to reduce emissions of greenhouse gases and dust is to use plant biomass in a greenbelt. This study provides a mathematical model for how dust pollutants and climate change affect plant biomass dynamics. The proposed model is thoroughly described. The model's analysis is centered on identifying prospective equilibrium positions. The study indicates that it is feasible to establish two steady states. The stability analysis illustrates that both steady states are consistently stable under the specified conditions. The local bifurcations at each steady state are derived; specifically, transcritical bifurcation may occur if a plant's growth rate is selected as a bifurcation point. The theoretical study is validated through numerical simulations. Desertification may arise if the intrinsic growth rate of plant biomass, the dust pollutants-induced plant biomass depletion coefficient, and the coefficient of natural depletion of dust contaminants are not effectively managed, according to the numerical simulation result.•This research describes how to make a nonlinear model and sets its parameters to simulate the risk of desertification caused by global warming and dust pollutants.•The proposed model's behaviour is described using stability analysis theory as a methodology.•Numerical simulations confirm the performance of the proposed methodology.
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@article {pmid40165851,
year = {2025},
author = {Hakeem, E and Jawad, S and Ali, AH and Kallel, M and Neamah, HA},
title = {How mathematical models might predict desertification from global warming and dust pollutants.},
journal = {MethodsX},
volume = {14},
number = {},
pages = {103259},
pmid = {40165851},
issn = {2215-0161},
abstract = {Global warming and dust pollutants endanger humans and the ecosystem. One very efficient way to reduce emissions of greenhouse gases and dust is to use plant biomass in a greenbelt. This study provides a mathematical model for how dust pollutants and climate change affect plant biomass dynamics. The proposed model is thoroughly described. The model's analysis is centered on identifying prospective equilibrium positions. The study indicates that it is feasible to establish two steady states. The stability analysis illustrates that both steady states are consistently stable under the specified conditions. The local bifurcations at each steady state are derived; specifically, transcritical bifurcation may occur if a plant's growth rate is selected as a bifurcation point. The theoretical study is validated through numerical simulations. Desertification may arise if the intrinsic growth rate of plant biomass, the dust pollutants-induced plant biomass depletion coefficient, and the coefficient of natural depletion of dust contaminants are not effectively managed, according to the numerical simulation result.•This research describes how to make a nonlinear model and sets its parameters to simulate the risk of desertification caused by global warming and dust pollutants.•The proposed model's behaviour is described using stability analysis theory as a methodology.•Numerical simulations confirm the performance of the proposed methodology.},
}
RevDate: 2025-04-01
Changes in community composition and functional diversity of European bats under climate change.
Conservation biology : the journal of the Society for Conservation Biology [Epub ahead of print].
Climate change is predicted to drive geographical range shifts that will result in changes in species diversity and functional composition and have potential repercussions for ecosystem functioning. However, the effect of these changes on species composition and functional diversity (FD) remains unclear, especially for mammals, specifically bats. We used species distribution models and a comprehensive ecological and morphometrical trait database to estimate how projected future climate and land-use changes could influence the distribution, composition, and FD of the European bat community. Future bat assemblages were predicted to undergo substantial shifts in geographic range and trait structure. Range suitability decreased substantially in southern Europe and increased in northern latitudes. Our findings highlight the potential for climate change to drive shifts in bat FD, which has implications for ecosystem function and resilience at a continental scale. It is important to incorporate FD in conservation strategies. These efforts should target species with key functional traits predicted to be lost and areas expected to experience losses in FD. Conservation strategies should include habitat and roost protection, enhancing landscape connectivity, and international monitoring to preserve bat populations and their ecosystem services.
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@article {pmid40165613,
year = {2025},
author = {Fialas, PC and Santini, L and Russo, D and Amorim, F and Rebelo, H and Novella-Fernandez, R and Marques, F and Domer, A and Vella, A and Martinoli, A and Figurek, A and Tsoar, A and Sandor, A and Ibanez, C and Korine, C and Kerbiriou, C and Voigt, C and Mifsud, C and Jére, C and Ridha, D and Preatoni, D and Hamidović, D and Tidenberg, EM and Çoraman, E and Mathews, F and Lison, F and Joanna, F and Petersons, G and Loumassine, H and Garin, I and Csősz, I and Liira, J and Juste, J and Julien, JF and van der Kooij, J and Darija, J and Aihartza, J and Eldegard, K and Phelps, K and Olival, KJ and Marina, K and Ancillotto, L and Grzegorz, L and Barti, L and Salazar, LC and Bosso, L and Rodrigues, L and Hamel, L and Uhrin, M and Mas, M and Cerekovic, N and Toshkova, N and Roche, N and Kalda, O and Aizpurua, O and Georgiakakis, P and Kanuch, P and Presetnik, P and Bilgin, R and McKay, RA and Dina, R and Goran, R and Ireneusz, R and Sørås, R and Robert, S and Aulagnier, S and Kramer-Schadt, S and Gazaryan, S and Bücs, SL and Yorulmaz, T and Stjernberg, T and Liukko, UM and Nistreanu, V and Vintulis, V and Radchuk, V and Puig-Montserrat, X and Bas, Y and Zagmajster, M and Zegarek, M and Vida, Z and Razgour, O},
title = {Changes in community composition and functional diversity of European bats under climate change.},
journal = {Conservation biology : the journal of the Society for Conservation Biology},
volume = {},
number = {},
pages = {e70025},
doi = {10.1111/cobi.70025},
pmid = {40165613},
issn = {1523-1739},
support = {//Natural Environment Research Council/ ; //NE/M018660/1, NE/S007504/1/ ; //COST ACTION CA18107 'Climate change and bats: from science to conservation - ClimBats' (https://climbats.eu/)/ ; },
abstract = {Climate change is predicted to drive geographical range shifts that will result in changes in species diversity and functional composition and have potential repercussions for ecosystem functioning. However, the effect of these changes on species composition and functional diversity (FD) remains unclear, especially for mammals, specifically bats. We used species distribution models and a comprehensive ecological and morphometrical trait database to estimate how projected future climate and land-use changes could influence the distribution, composition, and FD of the European bat community. Future bat assemblages were predicted to undergo substantial shifts in geographic range and trait structure. Range suitability decreased substantially in southern Europe and increased in northern latitudes. Our findings highlight the potential for climate change to drive shifts in bat FD, which has implications for ecosystem function and resilience at a continental scale. It is important to incorporate FD in conservation strategies. These efforts should target species with key functional traits predicted to be lost and areas expected to experience losses in FD. Conservation strategies should include habitat and roost protection, enhancing landscape connectivity, and international monitoring to preserve bat populations and their ecosystem services.},
}
RevDate: 2025-04-01
Composting: A tool to combat climate change.
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA, 43(4):453-454.
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@article {pmid40165521,
year = {2025},
author = {McCarron, GP},
title = {Composting: A tool to combat climate change.},
journal = {Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA},
volume = {43},
number = {4},
pages = {453-454},
doi = {10.1177/0734242X251319678},
pmid = {40165521},
issn = {1096-3669},
}
RevDate: 2025-04-03
Impact of climate change on dentistry and oral health: a scoping review.
BDJ open, 11(1):32.
BACKGROUND: Direct effects of climate change on different domains of general health have been well documented with evidence-based literature; however, the implications for oral health and dentistry have been addressed in different forms of research papers and lack a comprehensive evaluation.
OBJECTIVES: We aimed to conduct a scoping review of the existing literature to elucidate the connections between the impact of climate change on oral health and dentistry, exploring how environmental shifts can influence dental diseases and practices and offering insights for future dental care using a systematic search strategy.
METHODS: A systematic search was carried out using keywords in PubMed, Embase, and Scopus databases. Boolean operators were also used to combine the searches and elaborate the search strategy. We did not apply any restriction of time frame or language to the articles. A total of 10 papers were included in the final review. The findings from different papers have reported direct/indirect associations of climate change with oral diseases and conditions such as dental caries, dental erosion, and oral cancer; developmental defects of enamel; early childhood caries; periodontal disease; and dental trauma, skeletal, and dental fluorosis.
DISCUSSION: The findings synthesize a nascent yet significant body of research exploring how environmental changes driven by climate change impact the dental profession and oral health outcomes. Continued research and policy attention are imperative to address the complex and evolving challenges posed by climate change to oral health.
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@article {pmid40164588,
year = {2025},
author = {Bhadauria, US and Purohit, B and Giraudeau, N and Atri, M and Priya, H},
title = {Impact of climate change on dentistry and oral health: a scoping review.},
journal = {BDJ open},
volume = {11},
number = {1},
pages = {32},
pmid = {40164588},
issn = {2056-807X},
abstract = {BACKGROUND: Direct effects of climate change on different domains of general health have been well documented with evidence-based literature; however, the implications for oral health and dentistry have been addressed in different forms of research papers and lack a comprehensive evaluation.
OBJECTIVES: We aimed to conduct a scoping review of the existing literature to elucidate the connections between the impact of climate change on oral health and dentistry, exploring how environmental shifts can influence dental diseases and practices and offering insights for future dental care using a systematic search strategy.
METHODS: A systematic search was carried out using keywords in PubMed, Embase, and Scopus databases. Boolean operators were also used to combine the searches and elaborate the search strategy. We did not apply any restriction of time frame or language to the articles. A total of 10 papers were included in the final review. The findings from different papers have reported direct/indirect associations of climate change with oral diseases and conditions such as dental caries, dental erosion, and oral cancer; developmental defects of enamel; early childhood caries; periodontal disease; and dental trauma, skeletal, and dental fluorosis.
DISCUSSION: The findings synthesize a nascent yet significant body of research exploring how environmental changes driven by climate change impact the dental profession and oral health outcomes. Continued research and policy attention are imperative to address the complex and evolving challenges posed by climate change to oral health.},
}
RevDate: 2025-04-03
Media coverage of biodiversity falls short compared to climate change and popular culture.
npj biodiversity, 4(1):11.
We compared global media coverage and internet search interest in COP15—which resulted in the Kunming-Montreal Global Biodiversity Framework—with COP27, a climate-focused conference, and the popular American singer Taylor Swift. Despite the critical environmental and societal implications of biodiversity loss, COP15 received significantly less attention, even in highly biodiverse countries. Addressing this attention shortfall will be crucial for building the awareness and advocacy needed to achieve global biodiversity goals.
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@article {pmid40159568,
year = {2025},
author = {Mammides, C and Campos-Arceiz, A},
title = {Media coverage of biodiversity falls short compared to climate change and popular culture.},
journal = {npj biodiversity},
volume = {4},
number = {1},
pages = {11},
pmid = {40159568},
issn = {2731-4243},
abstract = {We compared global media coverage and internet search interest in COP15—which resulted in the Kunming-Montreal Global Biodiversity Framework—with COP27, a climate-focused conference, and the popular American singer Taylor Swift. Despite the critical environmental and societal implications of biodiversity loss, COP15 received significantly less attention, even in highly biodiverse countries. Addressing this attention shortfall will be crucial for building the awareness and advocacy needed to achieve global biodiversity goals.},
}
RevDate: 2025-03-30
CmpDate: 2025-03-31
The Impacts of Climate Change on the Environment and Human Health in China: A Call for more Ambitious Action.
Biomedical and environmental sciences : BES, 38(2):127-143.
As global greenhouse gases continue rising, the urgency of more ambitious action is clearer than ever before. China is the world's biggest emitter of greenhouse gases and one of the countries affected most by climate change. The evidence about the impacts of climate change on the environment and human health may encourage China to take more decisive action to mitigate greenhouse gas emissions and adapt to climate impacts. This article aimed to review the evidence of environmental damages and health risks posed by climate change and to provide a new science-based perspective for the delivery of sustainable development goals. Over recent decades, China has experienced a strong warming pattern with a growing frequency of extreme weather events, and the impacts of climate change on China's environment and human health have been consistently observed, with increasing O 3 air pollution, decreases in water resources and availability, land degradation, and increased risks for both communicable and non-communicable diseases. Therefore, China's climate policy should target the key factors driving climate change and scale up strategic measures to curb carbon emissions and adapt to inevitable increasing climate impacts. It provides new insights for not only China but also other countries, particularly developing and emerging economies, to ensure climate and environmental sustainability whilst pursuing economic growth.
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@article {pmid40159167,
year = {2025},
author = {Tong, SL and Wang, Y and Lu, YL and Xiao, C and Liu, QY and Zhao, Q and Huang, CR and Xu, JY and Kang, N and Zhu, T and Qin, D and Xu, Y and Su, B and Shi, XM},
title = {The Impacts of Climate Change on the Environment and Human Health in China: A Call for more Ambitious Action.},
journal = {Biomedical and environmental sciences : BES},
volume = {38},
number = {2},
pages = {127-143},
doi = {10.3967/bes2025.016},
pmid = {40159167},
issn = {2214-0190},
mesh = {China ; *Climate Change ; Humans ; Air Pollution/prevention & control ; Greenhouse Gases/analysis ; Environment ; },
abstract = {As global greenhouse gases continue rising, the urgency of more ambitious action is clearer than ever before. China is the world's biggest emitter of greenhouse gases and one of the countries affected most by climate change. The evidence about the impacts of climate change on the environment and human health may encourage China to take more decisive action to mitigate greenhouse gas emissions and adapt to climate impacts. This article aimed to review the evidence of environmental damages and health risks posed by climate change and to provide a new science-based perspective for the delivery of sustainable development goals. Over recent decades, China has experienced a strong warming pattern with a growing frequency of extreme weather events, and the impacts of climate change on China's environment and human health have been consistently observed, with increasing O 3 air pollution, decreases in water resources and availability, land degradation, and increased risks for both communicable and non-communicable diseases. Therefore, China's climate policy should target the key factors driving climate change and scale up strategic measures to curb carbon emissions and adapt to inevitable increasing climate impacts. It provides new insights for not only China but also other countries, particularly developing and emerging economies, to ensure climate and environmental sustainability whilst pursuing economic growth.},
}
MeSH Terms:
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China
*Climate Change
Humans
Air Pollution/prevention & control
Greenhouse Gases/analysis
Environment
RevDate: 2025-04-03
CmpDate: 2025-03-29
Extreme events induced by climate change alter nectar offer to pollinators in cross pollination-dependent crops.
Scientific reports, 15(1):10852.
Both severe reductions and increases in rainfall can stress plants and modify floral traits involved in plant-pollinator interactions, such as nectar production. Animal pollination is responsible for most plant species' reproduction including several crops that rely especially on bees for fruit and seed production. Thus, extreme climate events can cause disruptions in pollination mutualism and lead to a decrease in the production of many crops worldwide. This study investigated the effects of changes in rainfall on nectar availability to pollinators at flower-, plant- and agricultural-scale, using an outcrossing bee-pollinated model crop. We experimentally simulated four scenarios: Control, Heavy rainfall, Rainfall reduction and Drought. All treatments but Rainfall reduction affected nectar traits at flower-scale. At plant- and agricultural-scale, Heavy rainfall increased nectar caloric offer (+ 79% and + 74%, respectively), while Rainfall reduction and Drought decreased it (- 37% and - 34%; - 98% and - 95%, respectively). Thus, drought treatments resulted in less resources available to pollinators The predicted rainfall shifts mediated by climate change may negatively affect cross-pollinated crops worldwide, as changes in nectar traits are prone to affect pollinator foraging behaviour and energy intake rate, decreasing pollination and fruit production. In summary, food security for humans may be closely linked to food security for pollinators.
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@article {pmid40157983,
year = {2025},
author = {Frigero, MLP and Boaro, CSF and Galetto, L and Tunes, P and Guimarães, E},
title = {Extreme events induced by climate change alter nectar offer to pollinators in cross pollination-dependent crops.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {10852},
pmid = {40157983},
issn = {2045-2322},
support = {Proc. 130401/2021-8//Conselho Nacional de Desenvolvimento Científico e Tecnológico/ ; Proc. 312799/2021-7//Conselho Nacional de Desenvolvimento Científico e Tecnológico/ ; #2021/10428-4//Fundação de Amparo à Pesquisa do Estado de São Paulo/ ; },
mesh = {*Pollination/physiology ; *Climate Change ; *Plant Nectar ; Animals ; *Crops, Agricultural/growth & development/physiology ; Bees/physiology ; Droughts ; Rain ; Flowers/physiology ; Fruit/physiology ; },
abstract = {Both severe reductions and increases in rainfall can stress plants and modify floral traits involved in plant-pollinator interactions, such as nectar production. Animal pollination is responsible for most plant species' reproduction including several crops that rely especially on bees for fruit and seed production. Thus, extreme climate events can cause disruptions in pollination mutualism and lead to a decrease in the production of many crops worldwide. This study investigated the effects of changes in rainfall on nectar availability to pollinators at flower-, plant- and agricultural-scale, using an outcrossing bee-pollinated model crop. We experimentally simulated four scenarios: Control, Heavy rainfall, Rainfall reduction and Drought. All treatments but Rainfall reduction affected nectar traits at flower-scale. At plant- and agricultural-scale, Heavy rainfall increased nectar caloric offer (+ 79% and + 74%, respectively), while Rainfall reduction and Drought decreased it (- 37% and - 34%; - 98% and - 95%, respectively). Thus, drought treatments resulted in less resources available to pollinators The predicted rainfall shifts mediated by climate change may negatively affect cross-pollinated crops worldwide, as changes in nectar traits are prone to affect pollinator foraging behaviour and energy intake rate, decreasing pollination and fruit production. In summary, food security for humans may be closely linked to food security for pollinators.},
}
MeSH Terms:
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*Pollination/physiology
*Climate Change
*Plant Nectar
Animals
*Crops, Agricultural/growth & development/physiology
Bees/physiology
Droughts
Rain
Flowers/physiology
Fruit/physiology
RevDate: 2025-03-29
Impact of climate change to the potential habitat distribution of three cephalopod species from offshore of Zhejiang.
Marine environmental research, 208:107108 pii:S0141-1136(25)00165-5 [Epub ahead of print].
Cephalopods are predominantly short-lived marine organisms, and their habitats are more susceptible to the effects of climate change. Modelling and predicting the distribution of potential habitats of cephalopods and their changing habitat spatial patterns under climate change scenarios can provide an essential scientific foundation for cephalopod habitat conservation and fisheries ecosystem management in the context of climate change. The trawl survey data collected along Zhejiang offshore in the spring and autumn of 2017-2023, in conjunction with marine environmental data including sea surface temperature (SST), sea surface salinity (SSS), dissolved oxygen concentration (DO) and chlorophyll-a concentration (CHLA), collected by temperature-salt-depth instrument, were employed to simulate and predict the potential habitat distribution of Uroteuthis duvauceli, Abralia multihamata, and Sepiella maindroni in the four RCP climate scenarios in 2100 by random forest as a species distribution model. The results demonstrated that the Random Forest predictions were accurate and reliable, with an AUC exceeding 0.8 for each group and a standard deviation below 0.05. The main environmental factors affecting the habitat distribution of three cephalopod species are SST and SSS, with an average contribution rate of 0.28 in spring and 0.33 in autumn. The average contribution rate of SSS in spring is 0.32, and in autumn it is 0.29. The response curves demonstrated that the three cephalopod species exhibited varying degrees of response to changes in SST and SSS. During the spring period, the optimal habitat for cephalopods was characterised by SST ranging from 18 °C to 20 °C, and SSS exceeding 28 ‰. In contrast, in autumn, S. maindroni exhibited a preference for warmer water compared to U. duvauceli and A. multihamata. The potential habitat suitability zones of cephalopods under high gas emission scenarios were found to mainly extend to the southern and northern coast of Zhejiang. Among them, the area of the high adapted zone of S. maindroni increased by 352 % in the RCP4.5 scenario, the area of the high adapted zone of U. duvauceli increased by 69 % in the RCP4.5 scenario, and the area of the high adapted zone of A. multihamata increased by 69 % in the RCP8.5 scenario. The centroid changes of the three species of cephalopods were not found to be significant in the high suitability zones of the three cephalopod species in different climatic scenarios. The present study proposes that climate change will result in alterations to the potential habitat of cephalopods offshore Zhejiang, which is a significant consideration for the future conservation and management of cephalopod fisheries.
Additional Links: PMID-40157052
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@article {pmid40157052,
year = {2025},
author = {Li, J and Chen, F and Zhou, Y and Zhang, H and Jiang, R and Zhu, W and Zhu, K},
title = {Impact of climate change to the potential habitat distribution of three cephalopod species from offshore of Zhejiang.},
journal = {Marine environmental research},
volume = {208},
number = {},
pages = {107108},
doi = {10.1016/j.marenvres.2025.107108},
pmid = {40157052},
issn = {1879-0291},
abstract = {Cephalopods are predominantly short-lived marine organisms, and their habitats are more susceptible to the effects of climate change. Modelling and predicting the distribution of potential habitats of cephalopods and their changing habitat spatial patterns under climate change scenarios can provide an essential scientific foundation for cephalopod habitat conservation and fisheries ecosystem management in the context of climate change. The trawl survey data collected along Zhejiang offshore in the spring and autumn of 2017-2023, in conjunction with marine environmental data including sea surface temperature (SST), sea surface salinity (SSS), dissolved oxygen concentration (DO) and chlorophyll-a concentration (CHLA), collected by temperature-salt-depth instrument, were employed to simulate and predict the potential habitat distribution of Uroteuthis duvauceli, Abralia multihamata, and Sepiella maindroni in the four RCP climate scenarios in 2100 by random forest as a species distribution model. The results demonstrated that the Random Forest predictions were accurate and reliable, with an AUC exceeding 0.8 for each group and a standard deviation below 0.05. The main environmental factors affecting the habitat distribution of three cephalopod species are SST and SSS, with an average contribution rate of 0.28 in spring and 0.33 in autumn. The average contribution rate of SSS in spring is 0.32, and in autumn it is 0.29. The response curves demonstrated that the three cephalopod species exhibited varying degrees of response to changes in SST and SSS. During the spring period, the optimal habitat for cephalopods was characterised by SST ranging from 18 °C to 20 °C, and SSS exceeding 28 ‰. In contrast, in autumn, S. maindroni exhibited a preference for warmer water compared to U. duvauceli and A. multihamata. The potential habitat suitability zones of cephalopods under high gas emission scenarios were found to mainly extend to the southern and northern coast of Zhejiang. Among them, the area of the high adapted zone of S. maindroni increased by 352 % in the RCP4.5 scenario, the area of the high adapted zone of U. duvauceli increased by 69 % in the RCP4.5 scenario, and the area of the high adapted zone of A. multihamata increased by 69 % in the RCP8.5 scenario. The centroid changes of the three species of cephalopods were not found to be significant in the high suitability zones of the three cephalopod species in different climatic scenarios. The present study proposes that climate change will result in alterations to the potential habitat of cephalopods offshore Zhejiang, which is a significant consideration for the future conservation and management of cephalopod fisheries.},
}
RevDate: 2025-03-29
Links between climate change and suicidal behavior risks.
Nature medicine [Epub ahead of print].
Additional Links: PMID-40155560
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Citation:
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@article {pmid40155560,
year = {2025},
author = {Vergunst, F and Orri, M and Forte, A and Geoffroy, MC},
title = {Links between climate change and suicidal behavior risks.},
journal = {Nature medicine},
volume = {},
number = {},
pages = {},
pmid = {40155560},
issn = {1546-170X},
}
RevDate: 2025-03-28
CmpDate: 2025-03-28
Generating transcriptomic resources in the teleost fish black cusk-eel (Genypterus maculatus) to evaluate thermal stress in the liver under a climate change scenario.
Fish physiology and biochemistry, 51(2):75.
The black cusk-eel (Genypterus maculatus) is a native fish that is relevant for traditional Chilean fisheries and has aquaculture potential. However, the genomic information and the biological knowledge related to the effect of thermal stress response are limited. This study generated the first de novo transcriptome assembly of the liver of G. maculatus and investigated the hepatic response to thermal stress in the G. maculatus. The de novo assembly resulted in 26,620 annotated transcripts, with an N50 of 2297, and a GC% of 49.76%. BUSCO analysis showed 97.1% and 75.7% complete orthologous (Metazoa and Actinopterygi, respectively). Functional annotation showed a total of 55,556 GO terms, with 26,128 annotations on biological process, 15,225 annotations on molecular functions, and 14,213 annotations on cellular component. The RNA-seq analysis revealed 94 differentially expressed transcripts in response to thermal stress, with 64 downregulated and 30 upregulated transcripts. The enrichment analysis showed biological processes related to double-strand break repair via homologous recombination, reciprocal meiotic recombination, and DNA repair. A significant increase in cortisol levels with no significant difference activity of hepatic enzymes (ALT, AST, AP) due to thermal stress was observed. Also, an increase in DNA damage (AP sites formation) and lipid peroxidation (HNE protein adducts) in the liver due to thermal stress was observed. The differentially expressed transcripts were validated using qPCR, confirming the RNA-seq results. The findings provide valuable genomic information for G. maculatus and highlight the physiological and molecular responses to thermal stress in the species under the context of climate change.
Additional Links: PMID-40153091
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Citation:
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@article {pmid40153091,
year = {2025},
author = {Dettleff, P and Fuentes, M and Gonzalez, P and Aedo, J and Zuloaga, R and Estrada, JM and Molina, A and Valdes, JA},
title = {Generating transcriptomic resources in the teleost fish black cusk-eel (Genypterus maculatus) to evaluate thermal stress in the liver under a climate change scenario.},
journal = {Fish physiology and biochemistry},
volume = {51},
number = {2},
pages = {75},
pmid = {40153091},
issn = {1573-5168},
mesh = {Animals ; *Liver/metabolism ; *Climate Change ; *Transcriptome ; Heat-Shock Response/physiology ; },
abstract = {The black cusk-eel (Genypterus maculatus) is a native fish that is relevant for traditional Chilean fisheries and has aquaculture potential. However, the genomic information and the biological knowledge related to the effect of thermal stress response are limited. This study generated the first de novo transcriptome assembly of the liver of G. maculatus and investigated the hepatic response to thermal stress in the G. maculatus. The de novo assembly resulted in 26,620 annotated transcripts, with an N50 of 2297, and a GC% of 49.76%. BUSCO analysis showed 97.1% and 75.7% complete orthologous (Metazoa and Actinopterygi, respectively). Functional annotation showed a total of 55,556 GO terms, with 26,128 annotations on biological process, 15,225 annotations on molecular functions, and 14,213 annotations on cellular component. The RNA-seq analysis revealed 94 differentially expressed transcripts in response to thermal stress, with 64 downregulated and 30 upregulated transcripts. The enrichment analysis showed biological processes related to double-strand break repair via homologous recombination, reciprocal meiotic recombination, and DNA repair. A significant increase in cortisol levels with no significant difference activity of hepatic enzymes (ALT, AST, AP) due to thermal stress was observed. Also, an increase in DNA damage (AP sites formation) and lipid peroxidation (HNE protein adducts) in the liver due to thermal stress was observed. The differentially expressed transcripts were validated using qPCR, confirming the RNA-seq results. The findings provide valuable genomic information for G. maculatus and highlight the physiological and molecular responses to thermal stress in the species under the context of climate change.},
}
MeSH Terms:
show MeSH Terms
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Animals
*Liver/metabolism
*Climate Change
*Transcriptome
Heat-Shock Response/physiology
RevDate: 2025-03-29
The PAICE project: Integrating health and health equity into UK climate change policy.
Wellcome open research, 10:14.
This paper announces a new initiative - the research project Policy and Implementation for Climate & Health Equity (PAICE), which aims to investigate the complex systemic connections between climate change action, health and health equity, for translation of evidence into policy and practice in the UK. Using transdisciplinary approaches, PAICE will: (1) co-develop a programme theory and linked monitoring and evaluation plan, (2) work with the UK Climate Change Committee (CCC) and the Greater London Authority (GLA) using system dynamics to analyse national and local policy opportunities, (3) build an integrated model of the effects of these policies on population health, health equity and greenhouse gas emissions, (4) apply the findings to the CCC monitoring framework and GLA policy development, and (5) use the programme theory to help evaluate achievement of PAICE processes and objectives. If successful, PAICE will have helped to establish a systems capability to (i) monitor whether Government plans are on track to deliver their climate targets and associated health impacts and (ii) understand how relevant policy and implementation approaches could be enhanced.
Additional Links: PMID-40151765
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Citation:
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@article {pmid40151765,
year = {2025},
author = {Davies, M and Dearman, C and Green, R and Haines, A and Heaviside, C and Karakas, F and Kumar Kuppili, S and Michie, S and Milner, J and Moore, G and Osrin, D and Pastorino, S and Petrou, G and Pluchinotta, I and Simpson, C and Symonds, P and Turcu, C and Whitmee, S and Zhou, K and Zimmermann, N},
title = {The PAICE project: Integrating health and health equity into UK climate change policy.},
journal = {Wellcome open research},
volume = {10},
number = {},
pages = {14},
pmid = {40151765},
issn = {2398-502X},
abstract = {This paper announces a new initiative - the research project Policy and Implementation for Climate & Health Equity (PAICE), which aims to investigate the complex systemic connections between climate change action, health and health equity, for translation of evidence into policy and practice in the UK. Using transdisciplinary approaches, PAICE will: (1) co-develop a programme theory and linked monitoring and evaluation plan, (2) work with the UK Climate Change Committee (CCC) and the Greater London Authority (GLA) using system dynamics to analyse national and local policy opportunities, (3) build an integrated model of the effects of these policies on population health, health equity and greenhouse gas emissions, (4) apply the findings to the CCC monitoring framework and GLA policy development, and (5) use the programme theory to help evaluate achievement of PAICE processes and objectives. If successful, PAICE will have helped to establish a systems capability to (i) monitor whether Government plans are on track to deliver their climate targets and associated health impacts and (ii) understand how relevant policy and implementation approaches could be enhanced.},
}
RevDate: 2025-03-30
Riverine Realities: Evaluating Climate Change Impacts on Habitat Dynamics of the Critically Endangered Gharial (Gavialis gangeticus) in the Indian Landscape.
Animals : an open access journal from MDPI, 15(6):.
The endemic and critically endangered gharial, Gavialis gangeticus, experienced a severe population decline in its range. However, conservation efforts, notably through the implementation of "Project Crocodile" in India, have led to a significant recovery of its population. The present study employs an ensemble Species Distribution Model (SDM) to delineate suitable habitats for G. gangeticus under current and future climatic scenarios to understand the impact of climate change. The model estimates that 46.85% of the area of occupancy is suitable under the present scenario, with this suitable area projected to increase by 145.16% in future climatic conditions. States such as Madhya Pradesh, Uttar Pradesh, and Assam are projected to experience an increase in habitat suitability, whereas Odisha and Rajasthan are anticipated to face declines. The study recommends conducting ground-truthing ecological assessments using advanced technologies and genetic analyses to validate the viability of newly identified habitats in the Lower Ganges, Mahanadi, and Brahmaputra River systems. These areas should be prioritized within the Protected Area network for potential translocation sites allocation. Collaborative efforts between the IUCN-SSC Crocodile Specialist Group and stakeholders are vital for prioritizing conservation and implementing site-specific interventions to protect the highly threatened gharial population in the wild.
Additional Links: PMID-40150425
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@article {pmid40150425,
year = {2025},
author = {Abedin, I and Singha, H and Singh, S and Mukherjee, T and Kim, HW and Kundu, S},
title = {Riverine Realities: Evaluating Climate Change Impacts on Habitat Dynamics of the Critically Endangered Gharial (Gavialis gangeticus) in the Indian Landscape.},
journal = {Animals : an open access journal from MDPI},
volume = {15},
number = {6},
pages = {},
pmid = {40150425},
issn = {2076-2615},
support = {Autonomous Creative Academic Research Fund 2024-2025 (202416560001)//Pukyong National University, Busan, South Korea/ ; },
abstract = {The endemic and critically endangered gharial, Gavialis gangeticus, experienced a severe population decline in its range. However, conservation efforts, notably through the implementation of "Project Crocodile" in India, have led to a significant recovery of its population. The present study employs an ensemble Species Distribution Model (SDM) to delineate suitable habitats for G. gangeticus under current and future climatic scenarios to understand the impact of climate change. The model estimates that 46.85% of the area of occupancy is suitable under the present scenario, with this suitable area projected to increase by 145.16% in future climatic conditions. States such as Madhya Pradesh, Uttar Pradesh, and Assam are projected to experience an increase in habitat suitability, whereas Odisha and Rajasthan are anticipated to face declines. The study recommends conducting ground-truthing ecological assessments using advanced technologies and genetic analyses to validate the viability of newly identified habitats in the Lower Ganges, Mahanadi, and Brahmaputra River systems. These areas should be prioritized within the Protected Area network for potential translocation sites allocation. Collaborative efforts between the IUCN-SSC Crocodile Specialist Group and stakeholders are vital for prioritizing conservation and implementing site-specific interventions to protect the highly threatened gharial population in the wild.},
}
RevDate: 2025-03-30
Distribution Shifts of Acanthaster solaris Under Climate Change and the Impact on Coral Reef Habitats.
Animals : an open access journal from MDPI, 15(6):.
Pacific crown-of-thorns starfish (Acanthaster solaris) outbreaks pose a significant threat to coral reef ecosystems, with climate change potentially exacerbating their distribution and impact. However, there remains only a small number of predictive studies on how climate change drives changes in the distribution patterns of A. solaris, and relevant assessments of the impact of these changes on coral reef areas are lacking. To address this issue, this study investigated potential changes in the distribution of A. solaris under climate change and its impact on Acropora coral habitats. Using a novel two-step framework, we integrated both abiotic and biological (Acropora distribution) predictors into species distribution modeling to project future shifts in A. solaris habitats. We created the first reliable set of current and future global distribution maps for A. solaris using a comprehensive dataset and machine learning approach. The results showed significant distribution shifts under three climate change scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5), with expanded ranges under all scenarios, and the greatest expansion occurring near 10° S. Asymmetry in the latitudinal shifts in habitat boundaries suggests that the Southern Hemisphere may face a more severe expansion of A. solaris. Regions previously unsuitable for A. solaris, such as parts of New Zealand, might experience new invasions. Additionally, our findings highlight the potential increase in predatory pressure on coral reefs under SSP2-4.5 and SSP5-8.5 scenarios, particularly in the Western Coral Triangle and Northeast Australian Shelf, where an overlap between A. solaris and Acropora habitats is significant. This study provides critical insights into the ecological dynamics of A. solaris in the context of climate change, and the results have important implications for coral reef management. These findings highlight the need for targeted conservation efforts and the development of mitigation strategies to protect coral reefs from the growing threat posed by A. solaris.
Additional Links: PMID-40150387
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Citation:
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@article {pmid40150387,
year = {2025},
author = {Su, S and Liu, J and Chen, B and Wang, W and Xiao, J and Li, Y and Du, J and Kang, J and Hu, W and Zhang, J},
title = {Distribution Shifts of Acanthaster solaris Under Climate Change and the Impact on Coral Reef Habitats.},
journal = {Animals : an open access journal from MDPI},
volume = {15},
number = {6},
pages = {},
pmid = {40150387},
issn = {2076-2615},
support = {2022YFC3106301//the National Key Research and Development Program of China/ ; 2022YFF0802204//the National Key Research and Development Program of China/ ; 2024YFF1306802//the National Key Research and Development Program of China/ ; 2024J02023//the Fujian Provincial Natural Science Foundation of China/ ; },
abstract = {Pacific crown-of-thorns starfish (Acanthaster solaris) outbreaks pose a significant threat to coral reef ecosystems, with climate change potentially exacerbating their distribution and impact. However, there remains only a small number of predictive studies on how climate change drives changes in the distribution patterns of A. solaris, and relevant assessments of the impact of these changes on coral reef areas are lacking. To address this issue, this study investigated potential changes in the distribution of A. solaris under climate change and its impact on Acropora coral habitats. Using a novel two-step framework, we integrated both abiotic and biological (Acropora distribution) predictors into species distribution modeling to project future shifts in A. solaris habitats. We created the first reliable set of current and future global distribution maps for A. solaris using a comprehensive dataset and machine learning approach. The results showed significant distribution shifts under three climate change scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5), with expanded ranges under all scenarios, and the greatest expansion occurring near 10° S. Asymmetry in the latitudinal shifts in habitat boundaries suggests that the Southern Hemisphere may face a more severe expansion of A. solaris. Regions previously unsuitable for A. solaris, such as parts of New Zealand, might experience new invasions. Additionally, our findings highlight the potential increase in predatory pressure on coral reefs under SSP2-4.5 and SSP5-8.5 scenarios, particularly in the Western Coral Triangle and Northeast Australian Shelf, where an overlap between A. solaris and Acropora habitats is significant. This study provides critical insights into the ecological dynamics of A. solaris in the context of climate change, and the results have important implications for coral reef management. These findings highlight the need for targeted conservation efforts and the development of mitigation strategies to protect coral reefs from the growing threat posed by A. solaris.},
}
RevDate: 2025-03-30
Exploring different product-service combinations for sustainable clothing rental service based on consumer preferences and climate change impacts.
Scientific reports, 15(1):10555.
Access-based consumption of clothing has garnered attention because of its sustainability potential; however, the profile of a product-service combination that benefits both consumers and the environment has been inconclusive. To characterize these services, this study explored consumer preferences and climate change impact of diverse garment type and service combinations for a clothing rental service. We performed a web-based survey in Japan to analyze consumer preferences and intended behavior for 15 garment types and ten service types in clothing rentals. The survey results were used to characterize the desired clothing rental service using a cluster analysis and to calculate life cycle greenhouse gas emissions when the garment was purchased and rented. The results showed a specific combination of consumer segments, product characteristics, and service types that construct a sustainable clothing rental service; formal dress, dress shirt, and maternity wear were the garment types that would reduce greenhouse gas emissions by 21% ~ 75% depending on consumer behavior and service implementation. We also demonstrate that implementing services often augments greenhouse gas emissions. This study conveys that renting garments for occasional wear are ideal for both consumers and the environment, and rental service providers need to effectively manage product's lifetime extension.
Additional Links: PMID-40148365
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@article {pmid40148365,
year = {2025},
author = {Amasawa, E and Kimita, K and Yoshida, T and Hirao, M},
title = {Exploring different product-service combinations for sustainable clothing rental service based on consumer preferences and climate change impacts.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {10555},
pmid = {40148365},
issn = {2045-2322},
abstract = {Access-based consumption of clothing has garnered attention because of its sustainability potential; however, the profile of a product-service combination that benefits both consumers and the environment has been inconclusive. To characterize these services, this study explored consumer preferences and climate change impact of diverse garment type and service combinations for a clothing rental service. We performed a web-based survey in Japan to analyze consumer preferences and intended behavior for 15 garment types and ten service types in clothing rentals. The survey results were used to characterize the desired clothing rental service using a cluster analysis and to calculate life cycle greenhouse gas emissions when the garment was purchased and rented. The results showed a specific combination of consumer segments, product characteristics, and service types that construct a sustainable clothing rental service; formal dress, dress shirt, and maternity wear were the garment types that would reduce greenhouse gas emissions by 21% ~ 75% depending on consumer behavior and service implementation. We also demonstrate that implementing services often augments greenhouse gas emissions. This study conveys that renting garments for occasional wear are ideal for both consumers and the environment, and rental service providers need to effectively manage product's lifetime extension.},
}
RevDate: 2025-04-02
CmpDate: 2025-03-27
Balancing short-term and long-term climate-health equity strategies: a framework for supporting faster, fairer joint action on climate change and health equity.
BMJ global health, 9(Suppl 1):.
In this conceptual paper, we propose an integrated framework to support and accelerate joint action on climate change and health equity. We introduce a 'healthy climate, healthy people' framework, designed to support the complex task of synchronising these two significant justice challenges. The framework includes four domains for joint action: (1) Health in all climate mitigation policies; (2) Mitigation with health equity 'co-benefits'; (3) Pro-poor climate adaptation and (4) Greening health equity. We discuss practical implications for policy-makers, including the importance of attending to the health equity dimensions of both climate change and climate action; the value of increasing the use of rapid health equity assessment tools and harm-reducing (redistributive and compensatory) policy measures; the importance of community knowledge and the critical role of 'fair effort sharing' and tackling the emissions of the wealthy.
Additional Links: PMID-40147821
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Citation:
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@article {pmid40147821,
year = {2025},
author = {Wild, K and Rasanathan, K and Singh, S and Woodward, A},
title = {Balancing short-term and long-term climate-health equity strategies: a framework for supporting faster, fairer joint action on climate change and health equity.},
journal = {BMJ global health},
volume = {9},
number = {Suppl 1},
pages = {},
pmid = {40147821},
issn = {2059-7908},
mesh = {Humans ; *Climate Change ; *Health Equity ; Global Health ; Health Policy ; },
abstract = {In this conceptual paper, we propose an integrated framework to support and accelerate joint action on climate change and health equity. We introduce a 'healthy climate, healthy people' framework, designed to support the complex task of synchronising these two significant justice challenges. The framework includes four domains for joint action: (1) Health in all climate mitigation policies; (2) Mitigation with health equity 'co-benefits'; (3) Pro-poor climate adaptation and (4) Greening health equity. We discuss practical implications for policy-makers, including the importance of attending to the health equity dimensions of both climate change and climate action; the value of increasing the use of rapid health equity assessment tools and harm-reducing (redistributive and compensatory) policy measures; the importance of community knowledge and the critical role of 'fair effort sharing' and tackling the emissions of the wealthy.},
}
MeSH Terms:
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Humans
*Climate Change
*Health Equity
Global Health
Health Policy
RevDate: 2025-03-27
Assessing climate change and human impacts on runoff and hydrological droughts in the Yellow River Basin using a machine learning-enhanced hydrological modeling approach.
Journal of environmental management, 380:125091 pii:S0301-4797(25)01067-9 [Epub ahead of print].
Analyzing the impacts of climate change (CC) and human activities (HA) on hydrological events is important for water resource management. This study quantifies the impacts of CC and HA on runoff and hydrological drought characteristics (HDC) in the Yellow River Basin (YRB) of China. Trends and abrupt change points in runoff at 16 hydrological stations were detected. The Soil and Water Assessment Tool (SWAT), Random Forest (RF), and five bias-correction models, including SWAT_RF_bias3 which integrated SWAT outputs with RF using maximal precipitation and temperature inputs, were evaluated for their efficacy in monthly runoff simulation. The "simulated-observed" method was employed to assess the contributions of CC and HA to runoff and HDC variations. Results indicated a general decrease in runoff across the stations during 1961-2016. SWAT_RF_bias3 emerged as the superior model, highlighting the importance of high precipitation in the headwater region and near the main channel of the midstream for accurate runoff simulation. HA was found to contribute significantly more (68-95 %) to runoff reductions than CC. Additionally, CC predominantly influenced the frequency decrease in severe and extreme hydrological droughts, while HA was the main driver behind the increased magnitude and duration of extreme droughts. These findings underscore the complex interplay between CC and HA in water resource management and the effectiveness of bias-correction models in enhancing hydrological simulations in the YRB.
Additional Links: PMID-40147411
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@article {pmid40147411,
year = {2025},
author = {Wang, L and Li, Y and Biswas, A and Zhao, Y and Niu, B and Siddique, KHM},
title = {Assessing climate change and human impacts on runoff and hydrological droughts in the Yellow River Basin using a machine learning-enhanced hydrological modeling approach.},
journal = {Journal of environmental management},
volume = {380},
number = {},
pages = {125091},
doi = {10.1016/j.jenvman.2025.125091},
pmid = {40147411},
issn = {1095-8630},
abstract = {Analyzing the impacts of climate change (CC) and human activities (HA) on hydrological events is important for water resource management. This study quantifies the impacts of CC and HA on runoff and hydrological drought characteristics (HDC) in the Yellow River Basin (YRB) of China. Trends and abrupt change points in runoff at 16 hydrological stations were detected. The Soil and Water Assessment Tool (SWAT), Random Forest (RF), and five bias-correction models, including SWAT_RF_bias3 which integrated SWAT outputs with RF using maximal precipitation and temperature inputs, were evaluated for their efficacy in monthly runoff simulation. The "simulated-observed" method was employed to assess the contributions of CC and HA to runoff and HDC variations. Results indicated a general decrease in runoff across the stations during 1961-2016. SWAT_RF_bias3 emerged as the superior model, highlighting the importance of high precipitation in the headwater region and near the main channel of the midstream for accurate runoff simulation. HA was found to contribute significantly more (68-95 %) to runoff reductions than CC. Additionally, CC predominantly influenced the frequency decrease in severe and extreme hydrological droughts, while HA was the main driver behind the increased magnitude and duration of extreme droughts. These findings underscore the complex interplay between CC and HA in water resource management and the effectiveness of bias-correction models in enhancing hydrological simulations in the YRB.},
}
RevDate: 2025-03-27
Evolution of the recent habitat suitability area of Aedes albopictus in the extended Mediterranean area due to land-use and climate change.
The Science of the total environment, 974:179202 pii:S0048-9697(25)00837-X [Epub ahead of print].
The Asian tiger mosquito, Aedes albopictus, is one of the world's most invasive species and is responsible for the transmission of several vector-borne diseases, including chikungunya, dengue, and Zika. Aedes albopictus has been established in southern Europe since the 1990s and has been spreading to other regions in recent years. The present study examines changes in the habitat suitability of Aedes albopictus over the period 2000-2020 using a multi-model ensemble (MME) of maximum entropy (MaxEnt) models. An initial set of 38 climatic and 14 land-use predictors was considered for model setup. The model was built using Aedes albopictus distribution data for 2020. We included 19 bioclimatic variables, absolute humidity, and 18 extreme climate variables which are tailored to species specific thresholds based on expert knowledge. By means of statistical methods, predictor selection was performed. To assign changes to climate or land-use, we ran all habitat suitability models on varying climate with constant and varying land-use. Differences between both approaches indicate causes of change. Land-use changes are an important factor until 2015, contributing at least as much as climate change to changes in the habitat suitability area of Aedes albopictus (HSA). In the following years, changes in the HSA are mainly shaped by climate change. In 2020, the MME shows an average 4.5 % increase in HSA compared to 2000, with decreasing habitat suitability in the south and increasing suitability in the north. Land use change accounts for 16-51 % of HSA change, but only 3.3 % of land use change is spatially consistent across the MME. In contrast, changes in the HSA due to climate change has a spatial consistency of 54.2 % across the MME. The overall increase in HSA between 2000 and 2020 also increases the risk of vector-borne disease infections, but land-use changes can counteract some of the climate-induced changes.
Additional Links: PMID-40147239
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@article {pmid40147239,
year = {2025},
author = {Merkenschlager, C and Bangelesa, F and Paeth, H and Hertig, E},
title = {Evolution of the recent habitat suitability area of Aedes albopictus in the extended Mediterranean area due to land-use and climate change.},
journal = {The Science of the total environment},
volume = {974},
number = {},
pages = {179202},
doi = {10.1016/j.scitotenv.2025.179202},
pmid = {40147239},
issn = {1879-1026},
abstract = {The Asian tiger mosquito, Aedes albopictus, is one of the world's most invasive species and is responsible for the transmission of several vector-borne diseases, including chikungunya, dengue, and Zika. Aedes albopictus has been established in southern Europe since the 1990s and has been spreading to other regions in recent years. The present study examines changes in the habitat suitability of Aedes albopictus over the period 2000-2020 using a multi-model ensemble (MME) of maximum entropy (MaxEnt) models. An initial set of 38 climatic and 14 land-use predictors was considered for model setup. The model was built using Aedes albopictus distribution data for 2020. We included 19 bioclimatic variables, absolute humidity, and 18 extreme climate variables which are tailored to species specific thresholds based on expert knowledge. By means of statistical methods, predictor selection was performed. To assign changes to climate or land-use, we ran all habitat suitability models on varying climate with constant and varying land-use. Differences between both approaches indicate causes of change. Land-use changes are an important factor until 2015, contributing at least as much as climate change to changes in the habitat suitability area of Aedes albopictus (HSA). In the following years, changes in the HSA are mainly shaped by climate change. In 2020, the MME shows an average 4.5 % increase in HSA compared to 2000, with decreasing habitat suitability in the south and increasing suitability in the north. Land use change accounts for 16-51 % of HSA change, but only 3.3 % of land use change is spatially consistent across the MME. In contrast, changes in the HSA due to climate change has a spatial consistency of 54.2 % across the MME. The overall increase in HSA between 2000 and 2020 also increases the risk of vector-borne disease infections, but land-use changes can counteract some of the climate-induced changes.},
}
RevDate: 2025-03-27
CmpDate: 2025-03-27
Climate Change and the Future of Allergies and Asthma.
Current allergy and asthma reports, 25(1):20.
PURPOSE OF THIS REVIEW: Climate change affects global temperature, meteorological variables, plant aerobiology, air pollution exposure and a host of other factors that individually have been implicated in the inception and/or exacerbation of allergic disease like asthma and allergic rhinitis. It is unknown how climate change will impact allergic disease prevalence and morbidity in the future.
RECENT FINDINGS: Pollen seasons are lengthening with variable effects on pollen peak concentrations and allergenicity. Air pollution exposure is linked with enhance susceptibility to allergic inflammation induced by pollen and with enhanced susceptibility to infection with a morbidity/mortality from respiratory viruses, including SARS-CoV-2. The available literature largely supports the association between climate change and three of the most salient factors for allergic respiratory disease prevalence and morbidity: changes in allergen exposure, pollution exposure, and viral respiratory infection. More research is needed to understand the complex interactions between these factors and individual-level variables that influence disease susceptibility.
Additional Links: PMID-40146339
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@article {pmid40146339,
year = {2025},
author = {Burbank, AJ},
title = {Climate Change and the Future of Allergies and Asthma.},
journal = {Current allergy and asthma reports},
volume = {25},
number = {1},
pages = {20},
pmid = {40146339},
issn = {1534-6315},
mesh = {Humans ; *Climate Change ; *Asthma/epidemiology/immunology/etiology ; *Air Pollution/adverse effects ; *Hypersensitivity/epidemiology/immunology ; Allergens/immunology ; COVID-19/immunology/epidemiology ; SARS-CoV-2/immunology ; Pollen/immunology ; Environmental Exposure/adverse effects ; Prevalence ; },
abstract = {PURPOSE OF THIS REVIEW: Climate change affects global temperature, meteorological variables, plant aerobiology, air pollution exposure and a host of other factors that individually have been implicated in the inception and/or exacerbation of allergic disease like asthma and allergic rhinitis. It is unknown how climate change will impact allergic disease prevalence and morbidity in the future.
RECENT FINDINGS: Pollen seasons are lengthening with variable effects on pollen peak concentrations and allergenicity. Air pollution exposure is linked with enhance susceptibility to allergic inflammation induced by pollen and with enhanced susceptibility to infection with a morbidity/mortality from respiratory viruses, including SARS-CoV-2. The available literature largely supports the association between climate change and three of the most salient factors for allergic respiratory disease prevalence and morbidity: changes in allergen exposure, pollution exposure, and viral respiratory infection. More research is needed to understand the complex interactions between these factors and individual-level variables that influence disease susceptibility.},
}
MeSH Terms:
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Humans
*Climate Change
*Asthma/epidemiology/immunology/etiology
*Air Pollution/adverse effects
*Hypersensitivity/epidemiology/immunology
Allergens/immunology
COVID-19/immunology/epidemiology
SARS-CoV-2/immunology
Pollen/immunology
Environmental Exposure/adverse effects
Prevalence
RevDate: 2025-03-29
CmpDate: 2025-03-27
Climate Change and Marine Food Webs: Navigating Structural Uncertainty Using Qualitative Network Analysis With Insights for Salmon Survival.
Global change biology, 31(3):e70143.
Effectively modeling the impact of climate change on any population requires careful consideration of diverse pressures. Potential changes in interactions with other species must be accounted for. As communities reassemble and shifts in abundance and distribution cascade throughout ecosystems, cumulative impacts on species of conservation concern need to be explicitly examined. A structured qualitative analysis of alternative responses to climate change across the food web can play a valuable role in the design and interpretation of quantitative models. A particular advantage of qualitative network analysis is the ease with which a wide range of scenarios representing structural and quantitative uncertainties can be explored. We tested 36 plausible representations of connections among salmon and key functional groups within the marine food web using qualitative network models. The scenarios differed in how species pairs were connected (positive, negative, or no interaction) and which species responded directly to climate change. Our analysis showed that certain configurations produced consistently negative outcomes for salmon, regardless of the specific values for most of the links. Salmon outcomes shifted from 30% to 84% negative when consumption rates by multiple competitor and predator groups increased following a press perturbation from climate. This scenario aligns with some recent observations during a marine heatwave. Feedbacks between salmon and mammalian predators were particularly important, as were indirect effects connecting spring- and fall-run salmon. We also identified which links most strongly influenced salmon outcomes in other scenarios. Our results emphasize the importance of structural uncertainty in food webs and demonstrate a tool for exploring it, paving the way for more targeted and effective research planning.
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@article {pmid40145641,
year = {2025},
author = {Crozier, LG and Gomes, DGE and Huff, DD},
title = {Climate Change and Marine Food Webs: Navigating Structural Uncertainty Using Qualitative Network Analysis With Insights for Salmon Survival.},
journal = {Global change biology},
volume = {31},
number = {3},
pages = {e70143},
pmid = {40145641},
issn = {1365-2486},
support = {//National Marine Fisheries Service/ ; },
mesh = {Animals ; *Climate Change ; *Food Chain ; *Salmon/physiology ; Uncertainty ; Models, Biological ; },
abstract = {Effectively modeling the impact of climate change on any population requires careful consideration of diverse pressures. Potential changes in interactions with other species must be accounted for. As communities reassemble and shifts in abundance and distribution cascade throughout ecosystems, cumulative impacts on species of conservation concern need to be explicitly examined. A structured qualitative analysis of alternative responses to climate change across the food web can play a valuable role in the design and interpretation of quantitative models. A particular advantage of qualitative network analysis is the ease with which a wide range of scenarios representing structural and quantitative uncertainties can be explored. We tested 36 plausible representations of connections among salmon and key functional groups within the marine food web using qualitative network models. The scenarios differed in how species pairs were connected (positive, negative, or no interaction) and which species responded directly to climate change. Our analysis showed that certain configurations produced consistently negative outcomes for salmon, regardless of the specific values for most of the links. Salmon outcomes shifted from 30% to 84% negative when consumption rates by multiple competitor and predator groups increased following a press perturbation from climate. This scenario aligns with some recent observations during a marine heatwave. Feedbacks between salmon and mammalian predators were particularly important, as were indirect effects connecting spring- and fall-run salmon. We also identified which links most strongly influenced salmon outcomes in other scenarios. Our results emphasize the importance of structural uncertainty in food webs and demonstrate a tool for exploring it, paving the way for more targeted and effective research planning.},
}
MeSH Terms:
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Animals
*Climate Change
*Food Chain
*Salmon/physiology
Uncertainty
Models, Biological
RevDate: 2025-03-29
CmpDate: 2025-03-27
Money for health: handling the costs of climate change to African health systems.
Journal of health, population, and nutrition, 44(1):86.
The manifold impacts of climate change are also seen in the field of health in most countries. It is particularly so in Africa, whose health systems are amongst the most fragile in the world. This Commentary showcases the degree of vulnerability of the health systems of African countries to climate change, and describes some measures aimed at increasing their resilience to climate shocks. African health systems face significant challenges due to climate change, necessitating a comprehensive approach to enhance resilience.
Additional Links: PMID-40140999
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@article {pmid40140999,
year = {2025},
author = {Leal Filho, W and Gbaguidi, GJ and Diarrassouba, W and Martens, P},
title = {Money for health: handling the costs of climate change to African health systems.},
journal = {Journal of health, population, and nutrition},
volume = {44},
number = {1},
pages = {86},
pmid = {40140999},
issn = {2072-1315},
mesh = {*Climate Change ; Humans ; Africa ; *Delivery of Health Care/economics ; },
abstract = {The manifold impacts of climate change are also seen in the field of health in most countries. It is particularly so in Africa, whose health systems are amongst the most fragile in the world. This Commentary showcases the degree of vulnerability of the health systems of African countries to climate change, and describes some measures aimed at increasing their resilience to climate shocks. African health systems face significant challenges due to climate change, necessitating a comprehensive approach to enhance resilience.},
}
MeSH Terms:
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*Climate Change
Humans
Africa
*Delivery of Health Care/economics
RevDate: 2025-03-27
CmpDate: 2025-03-27
Modeling the effect of climate change on the distribution of plant communities in Zayandeh-Rud basin, Iran.
Environmental monitoring and assessment, 197(4):479.
Climate change is one of the major threats facing various regions in the world, including the Zayandeh-Rud basin in Iran. Although numerous studies have been carried out to predict the effects of climate change on the distribution of plant species, one important issue that has been largely neglected is the examination of the impacts of climate change on plant communities. Therefore, in this study, we modeled the potential effects of climate change on the distribution of the existing plant communities in the study area, including Semi Steppe-Shrub, Semi Steppe-Semi Shrub, Semi Steppe-Perennial Herbaceous, Steppe-Semi Shrub, Alpine Vegetation, Semi Desert-Salty Plants, and Semi Desert-Shrub. Using the presence points of plant communities and environmental variables, we performed modeling of the current (1970-2000) and future (2070) distribution of the plant communities in the study area. The results of the MaxEnt modeling under two General Circulation Models (MRI-ESM2-0 and HadGEM3-GC31-LL) with SSP245 and SSP585 scenarios showed that the suitable habitats of many of the studied plant communities will face a significant decrease in the next 50 years. The most significant reduction in suitable habitat is projected for the Semi Steppe-Perennial Herbaceous community (18-29.4%) and the Semi Desert-Shrub community (19-29%) within the Zayandeh-Rud basin, highlighting substantial habitat contraction under future climate scenarios. These changes can have significant implications for ecosystem functions and the livelihoods of local communities. The findings of this study emphasize the necessity of designing and implementing targeted conservation and management programs for the plant communities in this important region in response to the growing threat of climate change. Therefore, our findings can guide managers in prioritizing plant communities and adopting proactive measures to mitigate the negative impacts of climate change.
Additional Links: PMID-40140123
PubMed:
Citation:
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@article {pmid40140123,
year = {2025},
author = {Hadinejad, M and Naghipour, AA and Ebrahimi, A and Naimi, B},
title = {Modeling the effect of climate change on the distribution of plant communities in Zayandeh-Rud basin, Iran.},
journal = {Environmental monitoring and assessment},
volume = {197},
number = {4},
pages = {479},
pmid = {40140123},
issn = {1573-2959},
mesh = {Iran ; *Climate Change ; *Plants ; *Ecosystem ; *Environmental Monitoring ; Biodiversity ; },
abstract = {Climate change is one of the major threats facing various regions in the world, including the Zayandeh-Rud basin in Iran. Although numerous studies have been carried out to predict the effects of climate change on the distribution of plant species, one important issue that has been largely neglected is the examination of the impacts of climate change on plant communities. Therefore, in this study, we modeled the potential effects of climate change on the distribution of the existing plant communities in the study area, including Semi Steppe-Shrub, Semi Steppe-Semi Shrub, Semi Steppe-Perennial Herbaceous, Steppe-Semi Shrub, Alpine Vegetation, Semi Desert-Salty Plants, and Semi Desert-Shrub. Using the presence points of plant communities and environmental variables, we performed modeling of the current (1970-2000) and future (2070) distribution of the plant communities in the study area. The results of the MaxEnt modeling under two General Circulation Models (MRI-ESM2-0 and HadGEM3-GC31-LL) with SSP245 and SSP585 scenarios showed that the suitable habitats of many of the studied plant communities will face a significant decrease in the next 50 years. The most significant reduction in suitable habitat is projected for the Semi Steppe-Perennial Herbaceous community (18-29.4%) and the Semi Desert-Shrub community (19-29%) within the Zayandeh-Rud basin, highlighting substantial habitat contraction under future climate scenarios. These changes can have significant implications for ecosystem functions and the livelihoods of local communities. The findings of this study emphasize the necessity of designing and implementing targeted conservation and management programs for the plant communities in this important region in response to the growing threat of climate change. Therefore, our findings can guide managers in prioritizing plant communities and adopting proactive measures to mitigate the negative impacts of climate change.},
}
MeSH Terms:
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Iran
*Climate Change
*Plants
*Ecosystem
*Environmental Monitoring
Biodiversity
RevDate: 2025-03-27
CmpDate: 2025-03-27
The impact of climate change on agriculture in Assam: A statistical analysis of rising temperature and changing precipitation patterns.
Environmental monitoring and assessment, 197(4):477.
This study examines how climate change, particularly rising temperatures and changing rainfall patterns, affects agricultural productivity in Assam, India. Focusing on rice, tea and mustard-three of the state's most important crops-this research analyses data from 2000 to 2022 using multiple linear regression (MLR) to evaluate the relationship between climatic factors and crop yields. The results show that for every 1 °C increase in temperature, rice yields decline by approximately 0.112 tons/ha (p = 0.002, R[2] = 0.62), while tea and mustard yields decrease by 0.087 tons/ha (p = 0.005, R[2] = 0.54) and 0.095 tons/ha (p = 0.003, R[2] = 0.48), respectively. Rainfall positively influences yields up to optimal thresholds-280 mm for rice, 260 mm for tea and 210 mm for mustard-beyond which excess rainfall leads to reduced productivity, notably in rice due to waterlogging. These findings underscore the high vulnerability of Assam's rain-fed agriculture to climatic variability and stress the urgent need for adaptive measures. Policy recommendations include developing and disseminating heat- and drought-resistant crop varieties, expanding irrigation infrastructure and adopting precision farming technologies and implementing crop insurance schemes to buffer farmers against climatic risks. By integrating climatic, agronomic and socio-economic factors, this study not only fills gaps in the existing literature but also offers actionable insights for policymakers and stakeholders in Assam and other climate-sensitive regions.
Additional Links: PMID-40140118
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@article {pmid40140118,
year = {2025},
author = {Bordoloi, P and Dutta, N},
title = {The impact of climate change on agriculture in Assam: A statistical analysis of rising temperature and changing precipitation patterns.},
journal = {Environmental monitoring and assessment},
volume = {197},
number = {4},
pages = {477},
pmid = {40140118},
issn = {1573-2959},
mesh = {*Climate Change ; India ; *Agriculture ; *Rain ; *Crops, Agricultural/growth & development ; *Temperature ; Oryza/growth & development ; Environmental Monitoring ; Tea ; Mustard Plant/growth & development ; },
abstract = {This study examines how climate change, particularly rising temperatures and changing rainfall patterns, affects agricultural productivity in Assam, India. Focusing on rice, tea and mustard-three of the state's most important crops-this research analyses data from 2000 to 2022 using multiple linear regression (MLR) to evaluate the relationship between climatic factors and crop yields. The results show that for every 1 °C increase in temperature, rice yields decline by approximately 0.112 tons/ha (p = 0.002, R[2] = 0.62), while tea and mustard yields decrease by 0.087 tons/ha (p = 0.005, R[2] = 0.54) and 0.095 tons/ha (p = 0.003, R[2] = 0.48), respectively. Rainfall positively influences yields up to optimal thresholds-280 mm for rice, 260 mm for tea and 210 mm for mustard-beyond which excess rainfall leads to reduced productivity, notably in rice due to waterlogging. These findings underscore the high vulnerability of Assam's rain-fed agriculture to climatic variability and stress the urgent need for adaptive measures. Policy recommendations include developing and disseminating heat- and drought-resistant crop varieties, expanding irrigation infrastructure and adopting precision farming technologies and implementing crop insurance schemes to buffer farmers against climatic risks. By integrating climatic, agronomic and socio-economic factors, this study not only fills gaps in the existing literature but also offers actionable insights for policymakers and stakeholders in Assam and other climate-sensitive regions.},
}
MeSH Terms:
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*Climate Change
India
*Agriculture
*Rain
*Crops, Agricultural/growth & development
*Temperature
Oryza/growth & development
Environmental Monitoring
Tea
Mustard Plant/growth & development
RevDate: 2025-03-30
CmpDate: 2025-03-26
Physiology and climate change explain unusually high similarity across marine communities after end-Permian mass extinction.
Science advances, 11(13):eadr4199.
Fossil assemblages exhibit a global depletion in taxonomic distinctiveness in the aftermath of the end-Permian mass extinction (~252 million years ago), but little is known about why. Here, we examine whether biotic homogenization can be explained by tropical survivors tracking an expansion of their preferred habitat, measured in terms of the ratio of environmental oxygen supply to metabolic demand. We compare spatial similarity in community composition among marine invertebrate fossils represented by bivalve and gastropod fossils with predictions from an ecophysiological model of habitat that diagnoses areas in the ocean that can sustain the aerobic requirements of marine invertebrates. Modeled biogeographic responses to climate change yield an increase in global similarity of community composition among surviving ecophysiotypes, consistent with patterns in the fossil record and arguing for a physiological control on earliest Triassic biogeography.
Additional Links: PMID-40138424
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@article {pmid40138424,
year = {2025},
author = {Al Aswad, JA and Penn, JL and Monarrez, PM and Bazzi, M and Deutsch, C and Payne, JL},
title = {Physiology and climate change explain unusually high similarity across marine communities after end-Permian mass extinction.},
journal = {Science advances},
volume = {11},
number = {13},
pages = {eadr4199},
pmid = {40138424},
issn = {2375-2548},
mesh = {*Climate Change ; Animals ; *Extinction, Biological ; *Fossils ; *Ecosystem ; Aquatic Organisms/physiology ; Biodiversity ; Invertebrates/physiology ; },
abstract = {Fossil assemblages exhibit a global depletion in taxonomic distinctiveness in the aftermath of the end-Permian mass extinction (~252 million years ago), but little is known about why. Here, we examine whether biotic homogenization can be explained by tropical survivors tracking an expansion of their preferred habitat, measured in terms of the ratio of environmental oxygen supply to metabolic demand. We compare spatial similarity in community composition among marine invertebrate fossils represented by bivalve and gastropod fossils with predictions from an ecophysiological model of habitat that diagnoses areas in the ocean that can sustain the aerobic requirements of marine invertebrates. Modeled biogeographic responses to climate change yield an increase in global similarity of community composition among surviving ecophysiotypes, consistent with patterns in the fossil record and arguing for a physiological control on earliest Triassic biogeography.},
}
MeSH Terms:
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*Climate Change
Animals
*Extinction, Biological
*Fossils
*Ecosystem
Aquatic Organisms/physiology
Biodiversity
Invertebrates/physiology
RevDate: 2025-03-30
CmpDate: 2025-03-26
Anthropogenic activity and climate change exacerbate the spread of pathogenic bacteria in the environment.
Science advances, 11(13):eads4355.
Climate change is profoundly affecting human health. Human pathogenic bacteria (HPB) infections mediated by the environment are considered a substantial cause of global health losses. However, the biogeography of HPB and their response to climate change remain largely unknown. Here, we constructed and analyzed a global atlas of potential HPB using 1,066,584 samples worldwide. HPB are widely present in the global environment, and their distribution follows a latitudinal diversity gradient. Climate and anthropogenic factors are identified as major drivers of the global distribution of HPB. Our predictions indicated that by the end of this century, the richness, abundance, and invasion risk of HPB will increase globally, with this upward trend becoming more pronounced as development sustainability declines. Therefore, the threat of environmentally mediated HPB infections to human health may be more severe in a world where anthropogenic activities are intensifying and the global climate is warming.
Additional Links: PMID-40138417
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@article {pmid40138417,
year = {2025},
author = {Geng, Y and Liu, Y and Li, P and Sun, J and Jiang, Y and Pan, Z and Li, YZ and Zhang, Z},
title = {Anthropogenic activity and climate change exacerbate the spread of pathogenic bacteria in the environment.},
journal = {Science advances},
volume = {11},
number = {13},
pages = {eads4355},
pmid = {40138417},
issn = {2375-2548},
mesh = {*Climate Change ; Humans ; *Bacteria ; Anthropogenic Effects ; Human Activities ; Bacterial Infections/microbiology/epidemiology ; },
abstract = {Climate change is profoundly affecting human health. Human pathogenic bacteria (HPB) infections mediated by the environment are considered a substantial cause of global health losses. However, the biogeography of HPB and their response to climate change remain largely unknown. Here, we constructed and analyzed a global atlas of potential HPB using 1,066,584 samples worldwide. HPB are widely present in the global environment, and their distribution follows a latitudinal diversity gradient. Climate and anthropogenic factors are identified as major drivers of the global distribution of HPB. Our predictions indicated that by the end of this century, the richness, abundance, and invasion risk of HPB will increase globally, with this upward trend becoming more pronounced as development sustainability declines. Therefore, the threat of environmentally mediated HPB infections to human health may be more severe in a world where anthropogenic activities are intensifying and the global climate is warming.},
}
MeSH Terms:
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*Climate Change
Humans
*Bacteria
Anthropogenic Effects
Human Activities
Bacterial Infections/microbiology/epidemiology
RevDate: 2025-03-26
Climate change impacts have potentially big repercussions for kids' education.
Proceedings of the National Academy of Sciences of the United States of America, 122(13):e2505073122.
Additional Links: PMID-40138343
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@article {pmid40138343,
year = {2025},
author = {Sidik, S},
title = {Climate change impacts have potentially big repercussions for kids' education.},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
volume = {122},
number = {13},
pages = {e2505073122},
doi = {10.1073/pnas.2505073122},
pmid = {40138343},
issn = {1091-6490},
}
RevDate: 2025-03-29
CmpDate: 2025-03-26
Resilience to Climate Change by Biocontrol Yeasts Against Ochratoxin A Production in Robusta Coffee.
Toxins, 17(3):.
Aspergillus carbonarius is the main producer of Ochratoxin A (OTA) in coffee. In the last few years, there has been an increasing interest in using yeast isolates as Biocontrol Agents to prevent OTA production in coffee cherries during the primary postharvest processing. Little is known about how climate change abiotic conditions of increased temperature (+2-4 °C), elevated CO2 (existing levels of 400 vs. 1000 ppm), and increased drought stress will impact biocontrol resilience. This study examined the effect of a three-way interaction between temperature (27, 30, and 33 °C) x water activity (aw) (0.90 and 0.95 aw) x CO2 level (400 vs. 1000 ppm) on the growth and OTA production of A. carbonarius and the resilience of three yeast strains' biocontrol capacity on fresh coffee cherries. High aw (0.95), CO2, and temperature levels increased the production of OTA by A. carbonarius. All the yeast biocontrol strains significantly reduced A. carbonarius growth by at least 20% and OTA production by up to 85%. From the three strains used, the Meyerozyma caribbica strain (Y4) showed the best resilience to climate change, since it reduced both growth (50%) and OTA production (70%) under future scenarios of CO2 and aw at all temperatures tested, and should be the one selected for pilot scale experiments in Ivory Coast.
Additional Links: PMID-40137883
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@article {pmid40137883,
year = {2025},
author = {López-Rodríguez, C and Verheecke-Vaessen, C and Strub, C and Fontana, A and Guehi, T and Schorr-Galindo, S and Medina, A},
title = {Resilience to Climate Change by Biocontrol Yeasts Against Ochratoxin A Production in Robusta Coffee.},
journal = {Toxins},
volume = {17},
number = {3},
pages = {},
pmid = {40137883},
issn = {2072-6651},
support = {1800-0022//Agropolis International/ ; IPP programme//Cranfield University/ ; },
mesh = {*Ochratoxins ; *Climate Change ; *Aspergillus/metabolism/growth & development ; Coffee/microbiology ; Carbon Dioxide/metabolism ; Temperature ; Coffea/microbiology ; Food Contamination/prevention & control ; },
abstract = {Aspergillus carbonarius is the main producer of Ochratoxin A (OTA) in coffee. In the last few years, there has been an increasing interest in using yeast isolates as Biocontrol Agents to prevent OTA production in coffee cherries during the primary postharvest processing. Little is known about how climate change abiotic conditions of increased temperature (+2-4 °C), elevated CO2 (existing levels of 400 vs. 1000 ppm), and increased drought stress will impact biocontrol resilience. This study examined the effect of a three-way interaction between temperature (27, 30, and 33 °C) x water activity (aw) (0.90 and 0.95 aw) x CO2 level (400 vs. 1000 ppm) on the growth and OTA production of A. carbonarius and the resilience of three yeast strains' biocontrol capacity on fresh coffee cherries. High aw (0.95), CO2, and temperature levels increased the production of OTA by A. carbonarius. All the yeast biocontrol strains significantly reduced A. carbonarius growth by at least 20% and OTA production by up to 85%. From the three strains used, the Meyerozyma caribbica strain (Y4) showed the best resilience to climate change, since it reduced both growth (50%) and OTA production (70%) under future scenarios of CO2 and aw at all temperatures tested, and should be the one selected for pilot scale experiments in Ivory Coast.},
}
MeSH Terms:
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*Ochratoxins
*Climate Change
*Aspergillus/metabolism/growth & development
Coffee/microbiology
Carbon Dioxide/metabolism
Temperature
Coffea/microbiology
Food Contamination/prevention & control
RevDate: 2025-03-28
Evaluating Habitat Suitability for the Endangered Sinojackia xylocarpa (Styracaceae) in China Under Climate Change Based on Ensemble Modeling and Gap Analysis.
Biology, 14(3):.
Climate change has a profound effect on plant growth and distribution on a global scale [...].
Additional Links: PMID-40136560
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Citation:
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@article {pmid40136560,
year = {2025},
author = {Hu, C and Wu, H and Zhang, G},
title = {Evaluating Habitat Suitability for the Endangered Sinojackia xylocarpa (Styracaceae) in China Under Climate Change Based on Ensemble Modeling and Gap Analysis.},
journal = {Biology},
volume = {14},
number = {3},
pages = {},
pmid = {40136560},
issn = {2079-7737},
support = {No. 2023053SMnull0162//Jiangsu Forestry Bureau/ ; },
abstract = {Climate change has a profound effect on plant growth and distribution on a global scale [...].},
}
RevDate: 2025-03-28
Fading into Obscurity: Impact of Climate Change on Suitable Habitats for Two Lesser-Known Giant Flying Squirrels (Sciuridae: Petaurista) in Northeastern India.
Biology, 14(3):.
In recent years, global warming has become a major driver of biodiversity loss, significantly impacting various vertebrate species, including mammals. Consequently, numerous smaller species face extinction risks due to anthropogenic factors as well as inadequate assessments and conservation planning. Thus, this study focuses on two recently described endemic giant flying squirrel species under the Petaurista genus-Petaurista mishmiensis and Petaurista mechukaensis-found in Arunachal Pradesh, India. Using an ensemble species distribution model (SDM), this research delineates suitable habitats for these lesser-known species and evaluates the effects of climate change and habitat fragmentation on these areas. This analysis aims to inform a comprehensive management plan for their conservation. The ensemble model identified suitable habitat patches for the two species, extending beyond their current IUCN-designated ranges in Arunachal Pradesh. Under present conditions, P. mishmiensis has the largest predicted suitable area (9213 sq. km), followed by P. mechukaensis (6754 sq. km). However, future projections reveal alarming habitat losses ranging from 13.45% to 55.86% across the study area. This study also highlights severe habitat fragmentation throughout the state as viable patches for P. mishmiensis are drastically reduced in size, resulting in many being completely lost and the remaining areas being closer together. However, the P. mechukaensis experiences significant disintegration, resulting in numerous smaller, more dispersed patches within Arunachal Pradesh. Hence, to address these challenges, this study recommends several actions such as genetic assessments to confirm evolutionary relationships, evaluations of corridor connectivity, and comprehensive field studies. Furthermore, establishing joint forest conservation committees involving local communities, forest personnel, defense forces, naturalists, and scientists are also encouraged. Ultimately, this research provides critical insights for guiding future field studies across Arunachal Pradesh's vast landscapes and supports the development of detailed species management plans to protect these endemic flying squirrels.
Additional Links: PMID-40136499
PubMed:
Citation:
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@article {pmid40136499,
year = {2025},
author = {Abedin, I and Kamalakannan, M and Mukherjee, T and Choudhury, A and Singha, H and Abedin, J and Banerjee, D and Kim, HW and Kundu, S},
title = {Fading into Obscurity: Impact of Climate Change on Suitable Habitats for Two Lesser-Known Giant Flying Squirrels (Sciuridae: Petaurista) in Northeastern India.},
journal = {Biology},
volume = {14},
number = {3},
pages = {},
pmid = {40136499},
issn = {2079-7737},
support = {Autonomous Creative Academic Research Fund 2024-2025 (202416560001)//Pukyong National University, Busan, South Korea/ ; },
abstract = {In recent years, global warming has become a major driver of biodiversity loss, significantly impacting various vertebrate species, including mammals. Consequently, numerous smaller species face extinction risks due to anthropogenic factors as well as inadequate assessments and conservation planning. Thus, this study focuses on two recently described endemic giant flying squirrel species under the Petaurista genus-Petaurista mishmiensis and Petaurista mechukaensis-found in Arunachal Pradesh, India. Using an ensemble species distribution model (SDM), this research delineates suitable habitats for these lesser-known species and evaluates the effects of climate change and habitat fragmentation on these areas. This analysis aims to inform a comprehensive management plan for their conservation. The ensemble model identified suitable habitat patches for the two species, extending beyond their current IUCN-designated ranges in Arunachal Pradesh. Under present conditions, P. mishmiensis has the largest predicted suitable area (9213 sq. km), followed by P. mechukaensis (6754 sq. km). However, future projections reveal alarming habitat losses ranging from 13.45% to 55.86% across the study area. This study also highlights severe habitat fragmentation throughout the state as viable patches for P. mishmiensis are drastically reduced in size, resulting in many being completely lost and the remaining areas being closer together. However, the P. mechukaensis experiences significant disintegration, resulting in numerous smaller, more dispersed patches within Arunachal Pradesh. Hence, to address these challenges, this study recommends several actions such as genetic assessments to confirm evolutionary relationships, evaluations of corridor connectivity, and comprehensive field studies. Furthermore, establishing joint forest conservation committees involving local communities, forest personnel, defense forces, naturalists, and scientists are also encouraged. Ultimately, this research provides critical insights for guiding future field studies across Arunachal Pradesh's vast landscapes and supports the development of detailed species management plans to protect these endemic flying squirrels.},
}
RevDate: 2025-03-27
Climate change impacts on the predicted geographic distribution of Betula tianschanica Rupr.
Frontiers in plant science, 16:1528255.
INTRODUCTION: Betula tianschanica Rupr. is distributed in regions such as China, Kyrgyzstan, and Tajikistan. Owing to the impacts of climate change, it is increasingly threatened by habitat fragmentation, resulting in a precipitous decline in its population. Currently listed as endangered on the Red List of Trees of Central Asia, this species is predominantly found in the Tianshan Mountains. Examining the influence of climate change on the geographical distribution pattern of Betula tianschanica is crucial for the management and conservation of its wild resources.
METHODS: This study employed two models, maximum entropy (MaxEnt) and random forest (RF), combined with 116 distribution points of Betula tianschanica and 27 environmental factor variables, to investigate the environmental determinants of the distribution of Betula tianschanica and project its potential geographical distribution areas.
RESULTS: The MaxEnt model and the RF model determined the primary environmental factors influencing the potential distribution of Betula tianschanica. The MaxEnt model showed that the percentage of gravel volume in the lower soil layer and elevation are the most significant, while the RF model considered elevation and precipitation of the wettest quarter to be the most crucial. Both models unanimously asserted that elevation is the pivotal environmental element affecting the distribution of Betula tianschanica.The mean area under the curve (AUC) scores for the MaxEnt model and RF were 0.970 and 0.873, respectively, revealing that the MaxEnt model outperformed the RF model in predictive accuracy. Consequently, the present study employed the estimated geographical area for Betula tianschanica modeled by the MaxEnt model as a reference. Following the MaxEnt model's projected outcomes, Betula tianschanica is mainly located in territories such as the Tianshan Mountains, Ili River Basin, Lake Issyk-Kul, Turpan Basin, Irtysh River, Ulungur River, Bogda Mountains, Kazakh Hills, Lake Balkhash, Amu River, and the middle reaches of the Syr River.Within the MaxEnt model, the total suitable habitat area exhibits growth across all scenarios, with the exception of a decline observed during the 2041-2060 period under the SSP2-4.5 scenario. Remarkably, under the SSP58.5 scenario for the same timeframe, this area expands significantly by 42.7%. In contrast, the RF model demonstrated relatively minor fluctuations in the total suitable habitat area, with the highest recorded increase being 12.81%. This paper recommends establishing protected areas in the Tianshan Mountains, conducting long-term monitoring of its population dynamics, and enhancing international cooperation. In response to future climate change, climate refuges should be established and adaptive management implemented to ensure the survival and reproduction of Betula tianschanica.
Additional Links: PMID-40134618
PubMed:
Citation:
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@article {pmid40134618,
year = {2025},
author = {Zhou, H and Li, A and Luo, X and Wang, J and Xie, Y and Lin, Z and Hua, D},
title = {Climate change impacts on the predicted geographic distribution of Betula tianschanica Rupr.},
journal = {Frontiers in plant science},
volume = {16},
number = {},
pages = {1528255},
pmid = {40134618},
issn = {1664-462X},
abstract = {INTRODUCTION: Betula tianschanica Rupr. is distributed in regions such as China, Kyrgyzstan, and Tajikistan. Owing to the impacts of climate change, it is increasingly threatened by habitat fragmentation, resulting in a precipitous decline in its population. Currently listed as endangered on the Red List of Trees of Central Asia, this species is predominantly found in the Tianshan Mountains. Examining the influence of climate change on the geographical distribution pattern of Betula tianschanica is crucial for the management and conservation of its wild resources.
METHODS: This study employed two models, maximum entropy (MaxEnt) and random forest (RF), combined with 116 distribution points of Betula tianschanica and 27 environmental factor variables, to investigate the environmental determinants of the distribution of Betula tianschanica and project its potential geographical distribution areas.
RESULTS: The MaxEnt model and the RF model determined the primary environmental factors influencing the potential distribution of Betula tianschanica. The MaxEnt model showed that the percentage of gravel volume in the lower soil layer and elevation are the most significant, while the RF model considered elevation and precipitation of the wettest quarter to be the most crucial. Both models unanimously asserted that elevation is the pivotal environmental element affecting the distribution of Betula tianschanica.The mean area under the curve (AUC) scores for the MaxEnt model and RF were 0.970 and 0.873, respectively, revealing that the MaxEnt model outperformed the RF model in predictive accuracy. Consequently, the present study employed the estimated geographical area for Betula tianschanica modeled by the MaxEnt model as a reference. Following the MaxEnt model's projected outcomes, Betula tianschanica is mainly located in territories such as the Tianshan Mountains, Ili River Basin, Lake Issyk-Kul, Turpan Basin, Irtysh River, Ulungur River, Bogda Mountains, Kazakh Hills, Lake Balkhash, Amu River, and the middle reaches of the Syr River.Within the MaxEnt model, the total suitable habitat area exhibits growth across all scenarios, with the exception of a decline observed during the 2041-2060 period under the SSP2-4.5 scenario. Remarkably, under the SSP58.5 scenario for the same timeframe, this area expands significantly by 42.7%. In contrast, the RF model demonstrated relatively minor fluctuations in the total suitable habitat area, with the highest recorded increase being 12.81%. This paper recommends establishing protected areas in the Tianshan Mountains, conducting long-term monitoring of its population dynamics, and enhancing international cooperation. In response to future climate change, climate refuges should be established and adaptive management implemented to ensure the survival and reproduction of Betula tianschanica.},
}
RevDate: 2025-03-28
Climate change will send home insurance spiralling. Here's how to control costs.
Nature, 639(8056):839.
Additional Links: PMID-40133619
Publisher:
PubMed:
Citation:
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@article {pmid40133619,
year = {2025},
author = {St George, S},
title = {Climate change will send home insurance spiralling. Here's how to control costs.},
journal = {Nature},
volume = {639},
number = {8056},
pages = {839},
doi = {10.1038/d41586-025-00892-9},
pmid = {40133619},
issn = {1476-4687},
}
RevDate: 2025-03-25
Equitable energy transitions for a healthy future: combating air pollution and climate change.
BMJ (Clinical research ed.), 388:e084352.
Additional Links: PMID-40132812
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PubMed:
Citation:
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@article {pmid40132812,
year = {2025},
author = {Yao, Y and Jerrett, M and Zhu, T and Kelly, FJ and Zhu, Y},
title = {Equitable energy transitions for a healthy future: combating air pollution and climate change.},
journal = {BMJ (Clinical research ed.)},
volume = {388},
number = {},
pages = {e084352},
doi = {10.1136/bmj-2025-084352},
pmid = {40132812},
issn = {1756-1833},
}
RevDate: 2025-03-25
CmpDate: 2025-03-25
Exploring Climate Change's Impact on the Cardiopulmonary Health of Adults Living in the Canton of Valais, Switzerland: Protocol for a Development and Usability Pilot Study.
JMIR research protocols, 14:e67128 pii:v14i1e67128.
BACKGROUND: Climate change is affecting public health and well-being. In 2016, Swiss emergency departments (EDs) treated 1,722,000 cases, with 4718 daily admissions. In 2023, the ED of Sion Regional Hospital recorded 75,000 consultations. The links between climate change and health are complex, necessitating urgent research on its impact on cardiopulmonary health in Valais, Switzerland. Raising awareness among frontline professionals is crucial for developing health promotion and disease prevention strategies.
OBJECTIVE: This study explores the preliminary effects of climate change on cardiopulmonary health in Valais and assesses adult patients' knowledge of its health consequences. Findings will inform adaptations in patient care, health promotion, and disease prevention at Sion Hospital's ED. The feasibility of patient selection and data collection will also be evaluated.
METHODS: Using a convergent, parallel, mixed methods design, data will be collected from September 21, 2024, to September 20, 2025, with a target sample of 60 patients. The quantitative phase will examine patient recruitment feasibility, consultation reasons, and triage levels, correlating them with climate variables (temperature, nitrogen dioxide, particulate matter, sulfur dioxide, and ozone). It will also analyze sociodemographic profiles. The qualitative phase will explore patients' knowledge of climate change and its potential links to their ED visits. The feasibility and acceptability of the study process will be assessed. The protocol follows the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) Extension for Pilot and Feasibility Trials.
RESULTS: Data collection started on September 21, 2024, following the approval by the ethical commission. Data collection will take place over 1 year, until September 20, 2025.
CONCLUSIONS: This study will test the feasibility of a larger investigation and examine potential associations between Valais' changing microclimate and population health. Findings will establish patient profiles and explore their perceptions and knowledge of climate change, informing future health interventions.
DERR1-10.2196/67128.
Additional Links: PMID-40132196
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Citation:
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@article {pmid40132196,
year = {2025},
author = {Portela Dos Santos, O and Alves, PJP and Verloo, H},
title = {Exploring Climate Change's Impact on the Cardiopulmonary Health of Adults Living in the Canton of Valais, Switzerland: Protocol for a Development and Usability Pilot Study.},
journal = {JMIR research protocols},
volume = {14},
number = {},
pages = {e67128},
doi = {10.2196/67128},
pmid = {40132196},
issn = {1929-0748},
mesh = {Humans ; Pilot Projects ; Switzerland ; *Climate Change ; Adult ; Male ; Female ; Middle Aged ; Emergency Service, Hospital/statistics & numerical data ; Aged ; },
abstract = {BACKGROUND: Climate change is affecting public health and well-being. In 2016, Swiss emergency departments (EDs) treated 1,722,000 cases, with 4718 daily admissions. In 2023, the ED of Sion Regional Hospital recorded 75,000 consultations. The links between climate change and health are complex, necessitating urgent research on its impact on cardiopulmonary health in Valais, Switzerland. Raising awareness among frontline professionals is crucial for developing health promotion and disease prevention strategies.
OBJECTIVE: This study explores the preliminary effects of climate change on cardiopulmonary health in Valais and assesses adult patients' knowledge of its health consequences. Findings will inform adaptations in patient care, health promotion, and disease prevention at Sion Hospital's ED. The feasibility of patient selection and data collection will also be evaluated.
METHODS: Using a convergent, parallel, mixed methods design, data will be collected from September 21, 2024, to September 20, 2025, with a target sample of 60 patients. The quantitative phase will examine patient recruitment feasibility, consultation reasons, and triage levels, correlating them with climate variables (temperature, nitrogen dioxide, particulate matter, sulfur dioxide, and ozone). It will also analyze sociodemographic profiles. The qualitative phase will explore patients' knowledge of climate change and its potential links to their ED visits. The feasibility and acceptability of the study process will be assessed. The protocol follows the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) Extension for Pilot and Feasibility Trials.
RESULTS: Data collection started on September 21, 2024, following the approval by the ethical commission. Data collection will take place over 1 year, until September 20, 2025.
CONCLUSIONS: This study will test the feasibility of a larger investigation and examine potential associations between Valais' changing microclimate and population health. Findings will establish patient profiles and explore their perceptions and knowledge of climate change, informing future health interventions.
DERR1-10.2196/67128.},
}
MeSH Terms:
show MeSH Terms
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Humans
Pilot Projects
Switzerland
*Climate Change
Adult
Male
Female
Middle Aged
Emergency Service, Hospital/statistics & numerical data
Aged
RevDate: 2025-03-25
CmpDate: 2025-03-25
Most Christian American religious leaders silently believe in climate change, and informing their congregation can help open dialogue.
Proceedings of the National Academy of Sciences of the United States of America, 122(13):e2419705122.
Religious leaders shape the attitudes and beliefs of their congregations. In a nationally representative sample of U.S. religious leaders (N = 1,600), the majority of which were of a Christian faith, we find that nearly 90% believe in anthropogenic climate change to some degree. From this 90%, a total of 60% believe humans play a major role and an additional 30% believe they play a role, but a more minor one. Yet roughly half have never discussed it with their congregation, and only a quarter have mentioned it more than once or twice. In a sample of Christian Americans representative of the proportions of major national denominations (N = 987), we find that Christians underestimate the prevalence of their leaders who believe in climate change by 39 to 45 percentage points. Conversely, having a religious leader who talks about climate change predicts greater willingness to discuss it with fellow churchgoers and attend climate events. In an experimental intervention on another sample matching major Christian American denomination (N = 959), we find that providing the actual consensus level of religious leaders' belief in climate change reduces congregants' misperception of religious leaders, increases their perception that other church members believe in and are open to discussing climate change, and leads Christians to believe that taking climate action is consistent with their church's values while voting for politicians who will not take climate action is not.
Additional Links: PMID-40131947
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@article {pmid40131947,
year = {2025},
author = {Syropoulos, S and Sparkman, G},
title = {Most Christian American religious leaders silently believe in climate change, and informing their congregation can help open dialogue.},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
volume = {122},
number = {13},
pages = {e2419705122},
doi = {10.1073/pnas.2419705122},
pmid = {40131947},
issn = {1091-6490},
mesh = {Humans ; *Climate Change ; *Christianity ; *Leadership ; United States ; Female ; Male ; Communication ; Attitude ; },
abstract = {Religious leaders shape the attitudes and beliefs of their congregations. In a nationally representative sample of U.S. religious leaders (N = 1,600), the majority of which were of a Christian faith, we find that nearly 90% believe in anthropogenic climate change to some degree. From this 90%, a total of 60% believe humans play a major role and an additional 30% believe they play a role, but a more minor one. Yet roughly half have never discussed it with their congregation, and only a quarter have mentioned it more than once or twice. In a sample of Christian Americans representative of the proportions of major national denominations (N = 987), we find that Christians underestimate the prevalence of their leaders who believe in climate change by 39 to 45 percentage points. Conversely, having a religious leader who talks about climate change predicts greater willingness to discuss it with fellow churchgoers and attend climate events. In an experimental intervention on another sample matching major Christian American denomination (N = 959), we find that providing the actual consensus level of religious leaders' belief in climate change reduces congregants' misperception of religious leaders, increases their perception that other church members believe in and are open to discussing climate change, and leads Christians to believe that taking climate action is consistent with their church's values while voting for politicians who will not take climate action is not.},
}
MeSH Terms:
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Humans
*Climate Change
*Christianity
*Leadership
United States
Female
Male
Communication
Attitude
RevDate: 2025-03-27
CmpDate: 2025-03-25
Ash dieback and hydrology affect tree growth patterns under climate change in European floodplain forests.
Scientific reports, 15(1):10117.
Floodplain forests are currently undergoing substantial reorganization processes due to the combined effects of management-induced altered hydrological conditions, climate change and novel invasive pathogens. Nowadays, the ash dieback is one of the most concerning diseases affecting European floodplain forests, causing substantial tree mortality and threatening the loss of the dominant key tree species of the hardwood floodplain forest, Fraxinus excelsior. Understanding how the increased light availability caused by pathogen-driven mortality in combination with altered hydrological conditions and climate change affects growth responses in a diverse forest community is of crucial importance for conservation efforts. Thus, we examined growth of the main tree species in response to ash dieback and how it depended on altered hydrological conditions under novel climatic conditions for the lower and upper canopy in the floodplain forest of Leipzig, Germany. Our study period encompassed the consecutive drought years from 2018 to 2020. We found that tree growth responded mostly positively to increased light availability, but only on moist sites, while tree growth largely declined on dry sites, suggesting that water availability is a critical factor for tree species to be able to benefit from increased light availability due to canopy disturbances caused by ash dieback. This hydrological effect was species-specific in the lower canopy but not in the upper canopy. While, in the lower canopy, some species such as the competitive shade-tolerant but flood-intolerant Acer pseudoplatanus and Acer platanoides benefited from ash dieback on moist sites, others were less affected or suffered disproportionally, indicating that floodplain forests might turn into a novel ecosystem dominated by competitive Acer species, which may have detrimental effects on ecosystem functioning. Our results give hints on floodplain forests of the future and have important implications for conservation measures, suggesting that a substantial revitalization of natural hydrological dynamics is important to maintain a tree composition that resembles the existing one and thus sustain their conservation status.
Additional Links: PMID-40128345
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Citation:
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@article {pmid40128345,
year = {2025},
author = {Henkel, S and Richter, R and Andraczek, K and Mundry, R and Dontschev, M and Engelmann, RA and Hartmann, T and Hecht, C and Kasperidus, HD and Rieland, G and Scholz, M and Seele-Dilbat, C and Vieweg, M and Wirth, C},
title = {Ash dieback and hydrology affect tree growth patterns under climate change in European floodplain forests.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {10117},
pmid = {40128345},
issn = {2045-2322},
mesh = {*Fraxinus/growth & development/physiology ; *Climate Change ; *Forests ; *Trees/growth & development/physiology ; *Hydrology ; Germany ; Europe ; Plant Diseases ; Droughts ; },
abstract = {Floodplain forests are currently undergoing substantial reorganization processes due to the combined effects of management-induced altered hydrological conditions, climate change and novel invasive pathogens. Nowadays, the ash dieback is one of the most concerning diseases affecting European floodplain forests, causing substantial tree mortality and threatening the loss of the dominant key tree species of the hardwood floodplain forest, Fraxinus excelsior. Understanding how the increased light availability caused by pathogen-driven mortality in combination with altered hydrological conditions and climate change affects growth responses in a diverse forest community is of crucial importance for conservation efforts. Thus, we examined growth of the main tree species in response to ash dieback and how it depended on altered hydrological conditions under novel climatic conditions for the lower and upper canopy in the floodplain forest of Leipzig, Germany. Our study period encompassed the consecutive drought years from 2018 to 2020. We found that tree growth responded mostly positively to increased light availability, but only on moist sites, while tree growth largely declined on dry sites, suggesting that water availability is a critical factor for tree species to be able to benefit from increased light availability due to canopy disturbances caused by ash dieback. This hydrological effect was species-specific in the lower canopy but not in the upper canopy. While, in the lower canopy, some species such as the competitive shade-tolerant but flood-intolerant Acer pseudoplatanus and Acer platanoides benefited from ash dieback on moist sites, others were less affected or suffered disproportionally, indicating that floodplain forests might turn into a novel ecosystem dominated by competitive Acer species, which may have detrimental effects on ecosystem functioning. Our results give hints on floodplain forests of the future and have important implications for conservation measures, suggesting that a substantial revitalization of natural hydrological dynamics is important to maintain a tree composition that resembles the existing one and thus sustain their conservation status.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Fraxinus/growth & development/physiology
*Climate Change
*Forests
*Trees/growth & development/physiology
*Hydrology
Germany
Europe
Plant Diseases
Droughts
RevDate: 2025-03-27
CmpDate: 2025-03-25
Predicting the impact of climate change on the distribution of rhododendron on the qinghai-xizang plateau using maxent model.
Scientific reports, 15(1):10055.
Amid the ongoing trend of global warming, the distribution of habitable areas for Rhododendron is facing significant risks. To investigate the possible spatial distribution of Rhododendron on the Qinghai-Xizang Plateau in light of future global warming scenarios, we employed the Maximum entropy model (MaxEnt model) to map its suitable habitat using geographic distribution data and environmental factors projected for 2050s and 2070s, considering three representative concentration pathway (RCP) scenarios, while identifying the key factors influencing their distribution. The results show that: [1] The area under curve (AUC) values of the five Rhododendron were all greater than 0.98, indicated that the model prediction effect was excellent; [2] Isothermality is the most important environmental factor affecting the distribution of Rhododendron (excluding Rhododendron przewalskii). The most important environmental factor for Rhododendron przewalskii is altitude (alt: 51%), with an optimum range of 2700-3300 m, and Rhododendron trichostomum are affected by altitude (alt 18%), with an optimum range of 3200-3900 m. Rhododendron przewalskii (bio12: 21%) and Rhododendron trichostomum(bio12: 19%) are also affected by annual precipitation, and Rhododendron laudandum(bio12: 6%) is less affected by annual precipitation, The optimal amount of precipitation is 400-500 mm as well as 500-800 mm. Rhododendron przewalskii and Rhododendron trichostomum are suitable for survival in high altitude, semi-arid areas [3]. The suitable areas for survival for Rhododendron przewalskii, Rhododendron trichostomum, Rhododendron hypenanthum, and Rhododendron nyingchiense is expanding, while the suitable areas for survival for Rhododendron laudandum is shrinking [4]. The optimal zone for Rhododendron przewalskii is primarily found in the eastern section of the Qinghai-Xizang Plateau, while suitable areas for survival for the other four Rhododendron species are predominantly located in the southern region of the same plateau. Therefore, these regions will be designated as the primary conservation zones for in-situ preservation. The results of the study provide a basis for the in situ conservation of Rhododendron in response to global warming, relocation conservation, and the construction of nature reserve communities and ecological corridors.
Additional Links: PMID-40128313
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@article {pmid40128313,
year = {2025},
author = {Chai, SX and Ma, LP and Ma, ZW and Lei, YT and Ye, YQ and Wang, B and Xiao, YM and Yang, Y and Zhou, GY},
title = {Predicting the impact of climate change on the distribution of rhododendron on the qinghai-xizang plateau using maxent model.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {10055},
pmid = {40128313},
issn = {2045-2322},
mesh = {*Rhododendron/chemistry ; *Climate Change ; China ; *Altitude ; Ecosystem ; Models, Theoretical ; Global Warming ; },
abstract = {Amid the ongoing trend of global warming, the distribution of habitable areas for Rhododendron is facing significant risks. To investigate the possible spatial distribution of Rhododendron on the Qinghai-Xizang Plateau in light of future global warming scenarios, we employed the Maximum entropy model (MaxEnt model) to map its suitable habitat using geographic distribution data and environmental factors projected for 2050s and 2070s, considering three representative concentration pathway (RCP) scenarios, while identifying the key factors influencing their distribution. The results show that: [1] The area under curve (AUC) values of the five Rhododendron were all greater than 0.98, indicated that the model prediction effect was excellent; [2] Isothermality is the most important environmental factor affecting the distribution of Rhododendron (excluding Rhododendron przewalskii). The most important environmental factor for Rhododendron przewalskii is altitude (alt: 51%), with an optimum range of 2700-3300 m, and Rhododendron trichostomum are affected by altitude (alt 18%), with an optimum range of 3200-3900 m. Rhododendron przewalskii (bio12: 21%) and Rhododendron trichostomum(bio12: 19%) are also affected by annual precipitation, and Rhododendron laudandum(bio12: 6%) is less affected by annual precipitation, The optimal amount of precipitation is 400-500 mm as well as 500-800 mm. Rhododendron przewalskii and Rhododendron trichostomum are suitable for survival in high altitude, semi-arid areas [3]. The suitable areas for survival for Rhododendron przewalskii, Rhododendron trichostomum, Rhododendron hypenanthum, and Rhododendron nyingchiense is expanding, while the suitable areas for survival for Rhododendron laudandum is shrinking [4]. The optimal zone for Rhododendron przewalskii is primarily found in the eastern section of the Qinghai-Xizang Plateau, while suitable areas for survival for the other four Rhododendron species are predominantly located in the southern region of the same plateau. Therefore, these regions will be designated as the primary conservation zones for in-situ preservation. The results of the study provide a basis for the in situ conservation of Rhododendron in response to global warming, relocation conservation, and the construction of nature reserve communities and ecological corridors.},
}
MeSH Terms:
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*Rhododendron/chemistry
*Climate Change
China
*Altitude
Ecosystem
Models, Theoretical
Global Warming
RevDate: 2025-03-24
Consumer alternative protein choice in climate change: temporal landmarks, self-transcendence, and mindset abstraction.
Appetite pii:S0195-6663(25)00127-8 [Epub ahead of print].
This study explores consumer preferences for alternative proteins within the context of pro-environmental choices. The primary objective is to identify and analyze the factors influencing consumers' choices between alternative and traditional proteins, as well as the moderating conditions that shape these preferences. To achieve this, three sequential studies were conducted to examine the differential effects of temporal landmarks, self-transcendence, and mindset abstraction on protein choice. A randomized mixed experimental design was employed, incorporating both between-subjects and within-subjects components. Findings indicate that consumers exhibit a higher propensity to select alternative proteins during morning hours. Moreover, self-transcendence was found to mediate the relationship between temporal landmarks and protein choices, while mindset abstraction moderated this association. This research uniquely integrates temporal psychology, self-transcendence, and construal level theory to explain dynamic sustainable protein choices under climate change. It introduces morning contexts as novel antecedents of self-transcendence, demonstrating that self-transcendence mediates the impact of temporal landmarks on alternative protein preferences, with this relationship being moderated by mindset abstraction. The theoretical contribution lies in linking micro-level temporal cues to macro-level environmental values, providing a unified framework to address the "when" (time), "why" (self-transcendence), and "for whom" (abstract thinkers) of sustainable choices. Also, this research extends existing knowledge of dynamic sustainable consumption patterns. Practical implications include actionable strategies for policymakers and marketers to design time-sensitive interventions, such as morning-targeted campaigns. These initiatives leverage self-transcendent mindsets and abstract thinking to systematically promote sustainable protein adoption, thereby advancing climate change mitigation efforts.
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@article {pmid40127768,
year = {2025},
author = {Zhang, Y and Nguyen, M and Bu, Y},
title = {Consumer alternative protein choice in climate change: temporal landmarks, self-transcendence, and mindset abstraction.},
journal = {Appetite},
volume = {},
number = {},
pages = {107974},
doi = {10.1016/j.appet.2025.107974},
pmid = {40127768},
issn = {1095-8304},
abstract = {This study explores consumer preferences for alternative proteins within the context of pro-environmental choices. The primary objective is to identify and analyze the factors influencing consumers' choices between alternative and traditional proteins, as well as the moderating conditions that shape these preferences. To achieve this, three sequential studies were conducted to examine the differential effects of temporal landmarks, self-transcendence, and mindset abstraction on protein choice. A randomized mixed experimental design was employed, incorporating both between-subjects and within-subjects components. Findings indicate that consumers exhibit a higher propensity to select alternative proteins during morning hours. Moreover, self-transcendence was found to mediate the relationship between temporal landmarks and protein choices, while mindset abstraction moderated this association. This research uniquely integrates temporal psychology, self-transcendence, and construal level theory to explain dynamic sustainable protein choices under climate change. It introduces morning contexts as novel antecedents of self-transcendence, demonstrating that self-transcendence mediates the impact of temporal landmarks on alternative protein preferences, with this relationship being moderated by mindset abstraction. The theoretical contribution lies in linking micro-level temporal cues to macro-level environmental values, providing a unified framework to address the "when" (time), "why" (self-transcendence), and "for whom" (abstract thinkers) of sustainable choices. Also, this research extends existing knowledge of dynamic sustainable consumption patterns. Practical implications include actionable strategies for policymakers and marketers to design time-sensitive interventions, such as morning-targeted campaigns. These initiatives leverage self-transcendent mindsets and abstract thinking to systematically promote sustainable protein adoption, thereby advancing climate change mitigation efforts.},
}
RevDate: 2025-03-24
Quantifying the impact of climate change and land use change on surface-subsurface nutrient dynamics in a Chesapeake Bay watershed system.
Journal of environmental management, 380:125101 pii:S0301-4797(25)01077-1 [Epub ahead of print].
Nutrients such as nitrogen can be harmful to aquatic organisms in excessive amounts. Climate change, through possible increases in temperature and variable rainfall, may cause changes in nutrient loading patterns from watersheds. This study assesses the potential impact of climate and land use change on nitrate (NO3) loading in the Nanticoke River Watershed (NRW), Chesapeake Bay region, USA, using an updated version of SWAT + watershed model that simulates groundwater nitrate fate and transport in a process based spatially distributed manner. The model was calibrated for the 2000-2015 timeframe and tested against measured streamflow and in-stream nitrate loadings, as well as groundwater head measurements from monitoring wells. After calibration and testing, the model simulated hydrological and nitrate (NO3) flux changes under two future climate scenarios-Representative Concentration Pathways (RCP) 4.5 and 8.5 alongside projected land use changes by the FOREcasting SCEnarios of Land-use Change (FORE-SCE) model. The simulations suggest that under RCP 4.5, streamflow could decrease by 18-34 % and NO3 in-stream loading by 4-22 %, while under RCP 8.5, the projected decreases are 22-33 % for streamflow and 4-11 % for NO3 in-stream loading. Streamflow decrease is due to higher temperatures resulting in higher evapotranspiration during summer months, offsetting increases in precipitation. In-stream NO3 loading is influenced by a decrease in NO3 runoff loading, but an increase in groundwater loading due to increased leaching as plant uptake decreases due to higher surface temperatures. Compared to the influence of climate, land use change results in a minor decrease in NO3 loading. These insights can be used for nutrient management in similar landscapes. Additionally, we show that the updated SWAT + model can be a useful tool in quantifying and investigating NO3 fate and transport in surface-soil-aquifer-channel systems.
Additional Links: PMID-40127596
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PubMed:
Citation:
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@article {pmid40127596,
year = {2025},
author = {Tuladhar, A and Bailey, RT and Abbas, SA and Shanmugam, MS and Arnold, JG and White, MJ},
title = {Quantifying the impact of climate change and land use change on surface-subsurface nutrient dynamics in a Chesapeake Bay watershed system.},
journal = {Journal of environmental management},
volume = {380},
number = {},
pages = {125101},
doi = {10.1016/j.jenvman.2025.125101},
pmid = {40127596},
issn = {1095-8630},
abstract = {Nutrients such as nitrogen can be harmful to aquatic organisms in excessive amounts. Climate change, through possible increases in temperature and variable rainfall, may cause changes in nutrient loading patterns from watersheds. This study assesses the potential impact of climate and land use change on nitrate (NO3) loading in the Nanticoke River Watershed (NRW), Chesapeake Bay region, USA, using an updated version of SWAT + watershed model that simulates groundwater nitrate fate and transport in a process based spatially distributed manner. The model was calibrated for the 2000-2015 timeframe and tested against measured streamflow and in-stream nitrate loadings, as well as groundwater head measurements from monitoring wells. After calibration and testing, the model simulated hydrological and nitrate (NO3) flux changes under two future climate scenarios-Representative Concentration Pathways (RCP) 4.5 and 8.5 alongside projected land use changes by the FOREcasting SCEnarios of Land-use Change (FORE-SCE) model. The simulations suggest that under RCP 4.5, streamflow could decrease by 18-34 % and NO3 in-stream loading by 4-22 %, while under RCP 8.5, the projected decreases are 22-33 % for streamflow and 4-11 % for NO3 in-stream loading. Streamflow decrease is due to higher temperatures resulting in higher evapotranspiration during summer months, offsetting increases in precipitation. In-stream NO3 loading is influenced by a decrease in NO3 runoff loading, but an increase in groundwater loading due to increased leaching as plant uptake decreases due to higher surface temperatures. Compared to the influence of climate, land use change results in a minor decrease in NO3 loading. These insights can be used for nutrient management in similar landscapes. Additionally, we show that the updated SWAT + model can be a useful tool in quantifying and investigating NO3 fate and transport in surface-soil-aquifer-channel systems.},
}
RevDate: 2025-03-24
CmpDate: 2025-03-24
Climate change amplifies neurotoxic methylmercury threat to Asian fish consumers.
Proceedings of the National Academy of Sciences of the United States of America, 122(13):e2421921122.
Climate change is intricately influencing the accumulation of neurotoxic methylmercury (MeHg) in human food webs, potentially leading to uneven exposure risks across regions. Here, we reveal that climate change will elevate MeHg risks in China, with implications for regional inequalities in Asia through a climate-mercury-food-health nexus. Using a compiled fish mercury dataset from 13,000 samples and machine learning, we find that freshwater wild fish-an essential component of the Asian diet-is an underappreciated MeHg source. Specifically, MeHg concentrations in freshwater wild fish are 2.9 to 6.2 times higher than in freshwater farmed fish and 1.7 times higher than in marine wild fish. Individual climate factors influence MeHg accumulation differently, while their combined effects significantly increase MeHg concentrations in freshwater wild fish. Under SSP2-4.5 and SSP5-8.5 by 2031 to 2060, national average MeHg concentrations in freshwater wild fish are projected to increase by about 60%, adding a maximum annual economic loss of US$18 million (2022 USD) from intelligence quotient decrements in Chinese newborns. This loss may vary regionally within China and among Asian countries, disproportionately affecting less developed areas. Coordinating climate action with mercury emission reduction strategies could mitigate these overlooked regional risks, reduce regional inequalities in food safety, and ultimately contribute to sustainable development.
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PubMed:
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@article {pmid40127279,
year = {2025},
author = {Wu, M and Wu, X and Saiz-Lopez, A and Blanchfield, PJ and Ren, H and Zhong, H},
title = {Climate change amplifies neurotoxic methylmercury threat to Asian fish consumers.},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
volume = {122},
number = {13},
pages = {e2421921122},
doi = {10.1073/pnas.2421921122},
pmid = {40127279},
issn = {1091-6490},
support = {52388101//MOST | National Natural Science Foundation of China (NSFC)/ ; U2032201//MOST | National Natural Science Foundation of China (NSFC)/ ; },
mesh = {*Methylmercury Compounds/analysis/toxicity ; Animals ; *Climate Change ; *Fishes ; Humans ; China ; Food Contamination/analysis ; Water Pollutants, Chemical/analysis ; Food Chain ; Asia ; Fresh Water/chemistry ; Seafood/analysis ; },
abstract = {Climate change is intricately influencing the accumulation of neurotoxic methylmercury (MeHg) in human food webs, potentially leading to uneven exposure risks across regions. Here, we reveal that climate change will elevate MeHg risks in China, with implications for regional inequalities in Asia through a climate-mercury-food-health nexus. Using a compiled fish mercury dataset from 13,000 samples and machine learning, we find that freshwater wild fish-an essential component of the Asian diet-is an underappreciated MeHg source. Specifically, MeHg concentrations in freshwater wild fish are 2.9 to 6.2 times higher than in freshwater farmed fish and 1.7 times higher than in marine wild fish. Individual climate factors influence MeHg accumulation differently, while their combined effects significantly increase MeHg concentrations in freshwater wild fish. Under SSP2-4.5 and SSP5-8.5 by 2031 to 2060, national average MeHg concentrations in freshwater wild fish are projected to increase by about 60%, adding a maximum annual economic loss of US$18 million (2022 USD) from intelligence quotient decrements in Chinese newborns. This loss may vary regionally within China and among Asian countries, disproportionately affecting less developed areas. Coordinating climate action with mercury emission reduction strategies could mitigate these overlooked regional risks, reduce regional inequalities in food safety, and ultimately contribute to sustainable development.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Methylmercury Compounds/analysis/toxicity
Animals
*Climate Change
*Fishes
Humans
China
Food Contamination/analysis
Water Pollutants, Chemical/analysis
Food Chain
Asia
Fresh Water/chemistry
Seafood/analysis
RevDate: 2025-03-24
Conservation gaps for threatened ungulates in China under human disturbance and climate change.
Conservation biology : the journal of the Society for Conservation Biology [Epub ahead of print].
The identification of priority areas and conservation gaps in existing protected areas (PAs) is crucial for conservation of globally threatened species. However, understanding of conservation priorities is generally based on species richness and endemism, often overlooking evolutionary histories, species' functional roles, and the dynamics of all diversity indices relative to human impacts and future climate change. We analyzed the multiple diversity patterns of threatened ungulates in China at a 0.1° resolution under current and future climate scenarios and developed a more comprehensive framework for identifying priority conservation areas. Gross domestic product (GDP), human footprint index (HFP), land use, and climate had the greatest effect on distributions of threatened ungulates. The different facets of biodiversity and their dynamics were inconsistently represented across high-priority conservation areas. Existing PAs poorly represented priority areas based on the 5% highest values for the diversity indices we considered. Coverage of priority areas by PAs ranged from 28.8% to 30.4% under the current scenario alone and under a combination of the current scenario and 2 future scenarios. Only 21.5-22.2% of priority areas in eastern China were covered by PAs under all the scenarios, whereas >91.8% of the areas were threatened by high levels of human impacts. We identified gaps in areas of high priority for conservation of threatened ungulates and PAs in urgent need of strengthening. Our results highlight the importance of considering multiple dimensions of diversity when identifying priority areas for threatened species.
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@article {pmid40126024,
year = {2025},
author = {Zhang, C and Li, Y and Hu, X and Wang, H and Gao, Z and Nie, Y},
title = {Conservation gaps for threatened ungulates in China under human disturbance and climate change.},
journal = {Conservation biology : the journal of the Society for Conservation Biology},
volume = {},
number = {},
pages = {e70014},
doi = {10.1111/cobi.70014},
pmid = {40126024},
issn = {1523-1739},
support = {32071496//National Natural Science Foundation of China/ ; 32225033//National Natural Science Foundation of China/ ; 2022YFF1301500//Ministry of Science and Technology of China/ ; },
abstract = {The identification of priority areas and conservation gaps in existing protected areas (PAs) is crucial for conservation of globally threatened species. However, understanding of conservation priorities is generally based on species richness and endemism, often overlooking evolutionary histories, species' functional roles, and the dynamics of all diversity indices relative to human impacts and future climate change. We analyzed the multiple diversity patterns of threatened ungulates in China at a 0.1° resolution under current and future climate scenarios and developed a more comprehensive framework for identifying priority conservation areas. Gross domestic product (GDP), human footprint index (HFP), land use, and climate had the greatest effect on distributions of threatened ungulates. The different facets of biodiversity and their dynamics were inconsistently represented across high-priority conservation areas. Existing PAs poorly represented priority areas based on the 5% highest values for the diversity indices we considered. Coverage of priority areas by PAs ranged from 28.8% to 30.4% under the current scenario alone and under a combination of the current scenario and 2 future scenarios. Only 21.5-22.2% of priority areas in eastern China were covered by PAs under all the scenarios, whereas >91.8% of the areas were threatened by high levels of human impacts. We identified gaps in areas of high priority for conservation of threatened ungulates and PAs in urgent need of strengthening. Our results highlight the importance of considering multiple dimensions of diversity when identifying priority areas for threatened species.},
}
RevDate: 2025-03-25
CmpDate: 2025-03-24
The Role of Climate Change Adaptation in Enhancing Household Food Security: A Case Study of the Hamassa Watershed Agroecologies, Southern Ethiopia.
F1000Research, 14:188.
BACKGROUND: Climate change adaptation is an incomparable prior measure to tackle unpreventable climate calamities to enhance smallholder farming and food security. This empirical study assesses smallholder farmers' adaptation options to climate change or variability for achieving food security.
METHODS: Data were gathered from a survey of 328 respondents, selected randomly and proportionally from three different agro-ecological zones. Additional qualitative insights were collected through focus group discussions and interviews with key informants to reinforce the findings. The multinomial endogenous switching regression, independent t-test and the instrumental variable (2sls) regression were used as method of analysis.
RESULTS: The result indicated that ACAC impacted food security positively and significantly in the study area at a percent rate of 12.4, 16.3,18 and 27.7 when households adopting one, two, three, and four ACAC, respectively, in the HFBM case, and the same meaning was obtained from other food security measuring tools. However, the rate and manner of change differ at different agroecologies, signifying careful discernment when applying ACAC at different spacial areas, especially in agroecology. The change in agroecology declares that midlands have a negative likelihood propensity for climate adaptation compared to highlands, while lowlands have positive and insignificant implications. The mean comparison from the independent t-test showed statistically significant adopters and non-adopters food security measures, which also informed the positive contribution of CACA on households' food security. Interestingly, factors such as distance to water sources, land size, ox ownership, crop income, and access to credit influenced food security in diverse ways depending on regional and contextual specifics.
CONCLUSIONS: Thus, ACAC impacts food security differently at different rates in different agroecologies in the area. Integrated and tailored technical, institutional, and policy interventions are needed to tackle the calamities of climate change leap to smallholder farming and food security.
Additional Links: PMID-40125523
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Citation:
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@article {pmid40125523,
year = {2025},
author = {Bergene, T and Simane, B and Abi, M},
title = {The Role of Climate Change Adaptation in Enhancing Household Food Security: A Case Study of the Hamassa Watershed Agroecologies, Southern Ethiopia.},
journal = {F1000Research},
volume = {14},
number = {},
pages = {188},
pmid = {40125523},
issn = {2046-1402},
mesh = {Ethiopia ; *Climate Change ; *Food Security ; Humans ; *Family Characteristics ; *Agriculture ; Farmers ; Food Supply ; Female ; Male ; Surveys and Questionnaires ; },
abstract = {BACKGROUND: Climate change adaptation is an incomparable prior measure to tackle unpreventable climate calamities to enhance smallholder farming and food security. This empirical study assesses smallholder farmers' adaptation options to climate change or variability for achieving food security.
METHODS: Data were gathered from a survey of 328 respondents, selected randomly and proportionally from three different agro-ecological zones. Additional qualitative insights were collected through focus group discussions and interviews with key informants to reinforce the findings. The multinomial endogenous switching regression, independent t-test and the instrumental variable (2sls) regression were used as method of analysis.
RESULTS: The result indicated that ACAC impacted food security positively and significantly in the study area at a percent rate of 12.4, 16.3,18 and 27.7 when households adopting one, two, three, and four ACAC, respectively, in the HFBM case, and the same meaning was obtained from other food security measuring tools. However, the rate and manner of change differ at different agroecologies, signifying careful discernment when applying ACAC at different spacial areas, especially in agroecology. The change in agroecology declares that midlands have a negative likelihood propensity for climate adaptation compared to highlands, while lowlands have positive and insignificant implications. The mean comparison from the independent t-test showed statistically significant adopters and non-adopters food security measures, which also informed the positive contribution of CACA on households' food security. Interestingly, factors such as distance to water sources, land size, ox ownership, crop income, and access to credit influenced food security in diverse ways depending on regional and contextual specifics.
CONCLUSIONS: Thus, ACAC impacts food security differently at different rates in different agroecologies in the area. Integrated and tailored technical, institutional, and policy interventions are needed to tackle the calamities of climate change leap to smallholder farming and food security.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Ethiopia
*Climate Change
*Food Security
Humans
*Family Characteristics
*Agriculture
Farmers
Food Supply
Female
Male
Surveys and Questionnaires
RevDate: 2025-03-25
Influence of climate change and accidents on perception differs among energy technologies.
PNAS nexus, 4(3):pgaf079.
Risk perceptions of energy systems, and their evolution under climate change and after accidents, affect public acceptance of generation technologies. Despite this, little is understood about how such factors impact public perception at different timescales and the drivers for perception. We use state-of-the-art natural language processing to measure temporal changes in sentiment toward energy technologies using the full Twitter archive for 2009-2022. We find that perception of natural gas and wind has changed little as discussion of climate change on social media increased. However, climate-linked sentiment toward coal, solar, and hydropower has become more negative, while that for nuclear has improved. We also find that all generation technologies experience a drop in supportive discourse after definable accidents, but this typically rebounds with a half-life of <3 days. Yet, nuclear power is an exception in how it reacts to large-scale events. After Fukushima, sentiment returned to its positive preaccident levels with an 11.3-month relaxation half-life.
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@article {pmid40125443,
year = {2025},
author = {L'Her, GF and Duncan, NA and Jenkins-Smith, HC and Deinert, MR},
title = {Influence of climate change and accidents on perception differs among energy technologies.},
journal = {PNAS nexus},
volume = {4},
number = {3},
pages = {pgaf079},
pmid = {40125443},
issn = {2752-6542},
abstract = {Risk perceptions of energy systems, and their evolution under climate change and after accidents, affect public acceptance of generation technologies. Despite this, little is understood about how such factors impact public perception at different timescales and the drivers for perception. We use state-of-the-art natural language processing to measure temporal changes in sentiment toward energy technologies using the full Twitter archive for 2009-2022. We find that perception of natural gas and wind has changed little as discussion of climate change on social media increased. However, climate-linked sentiment toward coal, solar, and hydropower has become more negative, while that for nuclear has improved. We also find that all generation technologies experience a drop in supportive discourse after definable accidents, but this typically rebounds with a half-life of <3 days. Yet, nuclear power is an exception in how it reacts to large-scale events. After Fukushima, sentiment returned to its positive preaccident levels with an 11.3-month relaxation half-life.},
}
RevDate: 2025-03-23
Viviparity and obligate blood feeding: tsetse flies as a unique research system to study climate change.
Current opinion in insect science pii:S2214-5745(25)00039-2 [Epub ahead of print].
Tsetse flies (Glossina species) are unique organisms that combine several remarkable traits: they are obligate blood feeders, serve as critical vectors for African trypanosomes, and reproduce through adenotrophic viviparity-a process in which offspring are nourished with milk-like secretions before being born live. Here, we explore how climate change will impact the physiological processes associated with live birth in tsetse. This includes considerations of impacts on how blood feeding, host-pathogen interactions, and host-symbiont dynamics are likely to be impacted by thermal shifts. The highly specialized biology of tsetse flies suggests that this system is likely to have a distinctive response to climate change. Thus, detailed empirical research into these unique features is paramount for predicting tsetse population dynamics under climate change, and cautions against generalising from other well-studied vectors with contrasting ecology and life histories such as mosquitoes and ticks. At the same time, the reproductive biology of tsetse, as well as microbiome and feeding dynamics, allow for a powerful model to investigate climate change through the lens of pregnancy and associated physiological adaptations in an extensively researched invertebrate.
Additional Links: PMID-40122517
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PubMed:
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@article {pmid40122517,
year = {2025},
author = {Benoit, JB and Weaving, H and McLellan, C and Terblanche, JS and Attardo, GM and English, S},
title = {Viviparity and obligate blood feeding: tsetse flies as a unique research system to study climate change.},
journal = {Current opinion in insect science},
volume = {},
number = {},
pages = {101369},
doi = {10.1016/j.cois.2025.101369},
pmid = {40122517},
issn = {2214-5753},
abstract = {Tsetse flies (Glossina species) are unique organisms that combine several remarkable traits: they are obligate blood feeders, serve as critical vectors for African trypanosomes, and reproduce through adenotrophic viviparity-a process in which offspring are nourished with milk-like secretions before being born live. Here, we explore how climate change will impact the physiological processes associated with live birth in tsetse. This includes considerations of impacts on how blood feeding, host-pathogen interactions, and host-symbiont dynamics are likely to be impacted by thermal shifts. The highly specialized biology of tsetse flies suggests that this system is likely to have a distinctive response to climate change. Thus, detailed empirical research into these unique features is paramount for predicting tsetse population dynamics under climate change, and cautions against generalising from other well-studied vectors with contrasting ecology and life histories such as mosquitoes and ticks. At the same time, the reproductive biology of tsetse, as well as microbiome and feeding dynamics, allow for a powerful model to investigate climate change through the lens of pregnancy and associated physiological adaptations in an extensively researched invertebrate.},
}
RevDate: 2025-03-23
Climate change implications in the suitable habitat of olive ridley turtle Lepidochelys olivacea in the Eastern Tropical Pacific.
Marine environmental research, 207:107091 pii:S0141-1136(25)00148-5 [Epub ahead of print].
The olive ridley turtle Lepidochelys olivacea is one of the most abundant marine turtle species, but its populations are threatened by various environmental changes, including climate change. Understanding how the marine environment influences it is crucial for conservation efforts. This study models the habitat suitability of L. olivacea in the Eastern Tropical Pacific, a region of significant ecological importance for its nesting and foraging activities. We used remote sensing data from 59 individuals tagged in Panama and Costa Rica between 2009 and 2018. The response was modeled with MaxEnt, using a presence-only approach and environmental variables including sea surface temperature, ocean mixed layer thickness, chlorophyll-a concentration, and current velocity. We categorized months into warm (El Niño) and cold (La Niña) conditions, providing insight into climate change effects. Results reveal that chlorophyll-a concentration and sea surface temperature best predicted the presence of L. olivacea. The intertropical convergence zone exhibited high habitat suitability, especially in the Central Pacific. During El Niño, suitable habitat declined, primarily along coastlines, while, during La Niña, it expanded, favoring oceanic waters and temperate temperatures in upwelling zones. These findings suggest climate change could significantly impact L. olivacea distribution, potentially shifting nesting and foraging areas.
Additional Links: PMID-40121763
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@article {pmid40121763,
year = {2025},
author = {García-Rada, E and Buenfil-Ávila, A and Figgener, C and Guzmán, HM and Plotkin, PT and Reygondeau, G and Robalino-Mejía, C and Tittensor, DP and Villalobos, H and Peñaherrera-Palma, C},
title = {Climate change implications in the suitable habitat of olive ridley turtle Lepidochelys olivacea in the Eastern Tropical Pacific.},
journal = {Marine environmental research},
volume = {207},
number = {},
pages = {107091},
doi = {10.1016/j.marenvres.2025.107091},
pmid = {40121763},
issn = {1879-0291},
abstract = {The olive ridley turtle Lepidochelys olivacea is one of the most abundant marine turtle species, but its populations are threatened by various environmental changes, including climate change. Understanding how the marine environment influences it is crucial for conservation efforts. This study models the habitat suitability of L. olivacea in the Eastern Tropical Pacific, a region of significant ecological importance for its nesting and foraging activities. We used remote sensing data from 59 individuals tagged in Panama and Costa Rica between 2009 and 2018. The response was modeled with MaxEnt, using a presence-only approach and environmental variables including sea surface temperature, ocean mixed layer thickness, chlorophyll-a concentration, and current velocity. We categorized months into warm (El Niño) and cold (La Niña) conditions, providing insight into climate change effects. Results reveal that chlorophyll-a concentration and sea surface temperature best predicted the presence of L. olivacea. The intertropical convergence zone exhibited high habitat suitability, especially in the Central Pacific. During El Niño, suitable habitat declined, primarily along coastlines, while, during La Niña, it expanded, favoring oceanic waters and temperate temperatures in upwelling zones. These findings suggest climate change could significantly impact L. olivacea distribution, potentially shifting nesting and foraging areas.},
}
RevDate: 2025-03-22
CmpDate: 2025-03-22
Public engagement with health and climate change around the world: a Google Trends analysis.
The Lancet. Planetary health, 9(3):e236-e244.
Despite growing recognition of the importance of people engaging with the health dimensions of climate change, we know surprisingly little about the levels of public engagement around the world. We address this knowledge gap by examining Google Trends data, using people's online information-seeking behaviour to shed light on global engagement with health and climate change between 2014 and 2023. We observe that over the past decade-and particularly since 2020-there has been growing public engagement via Google searches with health and climate change around the world. The increasing engagement with the intersection of health and climate change is largely distinct from engagement with either climate change or health separately. We observe that such engagement is highest in low-income and middle-income countries. There is also greater engagement with health and climate change than with other issues that intersect climate change-eg, the economy and security-highlighting the public salience of health framings of climate change.
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@article {pmid40120630,
year = {2025},
author = {Dasandi, N and Jankin, S and Pantera, DK and Romanello, M},
title = {Public engagement with health and climate change around the world: a Google Trends analysis.},
journal = {The Lancet. Planetary health},
volume = {9},
number = {3},
pages = {e236-e244},
doi = {10.1016/S2542-5196(25)00029-4},
pmid = {40120630},
issn = {2542-5196},
mesh = {*Climate Change ; Humans ; Global Health ; Information Seeking Behavior ; Community Participation ; Internet ; },
abstract = {Despite growing recognition of the importance of people engaging with the health dimensions of climate change, we know surprisingly little about the levels of public engagement around the world. We address this knowledge gap by examining Google Trends data, using people's online information-seeking behaviour to shed light on global engagement with health and climate change between 2014 and 2023. We observe that over the past decade-and particularly since 2020-there has been growing public engagement via Google searches with health and climate change around the world. The increasing engagement with the intersection of health and climate change is largely distinct from engagement with either climate change or health separately. We observe that such engagement is highest in low-income and middle-income countries. There is also greater engagement with health and climate change than with other issues that intersect climate change-eg, the economy and security-highlighting the public salience of health framings of climate change.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Climate Change
Humans
Global Health
Information Seeking Behavior
Community Participation
Internet
RevDate: 2025-03-22
Nature-based solutions to address climate change and antimicrobial resistance.
The Lancet. Planetary health, 9(3):e173.
Additional Links: PMID-40120623
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@article {pmid40120623,
year = {2025},
author = {Lewycka, S and Skrinjaric, T and Rukomeza, G and Ngo, HHT and Imbach, P},
title = {Nature-based solutions to address climate change and antimicrobial resistance.},
journal = {The Lancet. Planetary health},
volume = {9},
number = {3},
pages = {e173},
doi = {10.1016/S2542-5196(25)00052-X},
pmid = {40120623},
issn = {2542-5196},
}
RevDate: 2025-03-24
CmpDate: 2025-03-22
Elevational dynamics of vegetation changes in response to climate change on the Tibetan plateau.
Scientific reports, 15(1):9813.
Understanding long-term vegetation dynamics is essential for assessing ecosystem responses to climate change, particularly in ecologically sensitive regions like the Tibetan Plateau. While numerous studies have analyzed vegetation changes on the Tibetan Plateau from 1982 to 2015 using remote sensing data, most have been limited by insufficient temporal coverage and low-resolution datasets, constraining the accuracy of trend detection and driver analysis. To address this gap, we utilize a high-resolution Normalized Difference Vegetation Index (NDVI) dataset, generated by merging GIMMS and SPOT data via the Extended Observation Time (EOT) algorithm, to investigate vegetation trends, breakpoints, and their climatic drivers over 34 years, with a specific focus on elevation effects. Our results indicate a predominant greening trend, with NDVI increasing in 86% of the area and browning in 14%, and an average greening rate of 0.0012 per decade. However, this trend varies with elevation: greening is most pronounced below 1000 m, followed by 1000-2000 m and 3000-4000 m, while the weakest greening occurs at 2000-3000 m. Breakpoint analysis reveals major shifts around 1998, with 70.1% of vegetation experiencing abrupt changes between 1996 and 2000, and 59.4% showing their first breakpoint in 1998. The highest NDVI breakpoint rate (27%) is observed at 2000-3000 m. Additionally, we find that temperature exerts a stronger influence on NDVI dynamics than precipitation. These findings underscore the complex interactions between vegetation, elevation, and climate, emphasizing the need for enhanced ecological monitoring and conservation efforts. Future research should incorporate additional climatic variables and improved modeling techniques to refine our understanding of vegetation responses in this high-altitude environment.
Additional Links: PMID-40119160
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@article {pmid40119160,
year = {2025},
author = {Pu, G and Han, L and Chen, L and Wan, D and Teng, H},
title = {Elevational dynamics of vegetation changes in response to climate change on the Tibetan plateau.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {9813},
pmid = {40119160},
issn = {2045-2322},
support = {41901055, 32060370//National Natural Science Foundation of China/ ; 41901055, 32060370//National Natural Science Foundation of China/ ; },
mesh = {Tibet ; *Climate Change ; *Ecosystem ; *Altitude ; Plants ; },
abstract = {Understanding long-term vegetation dynamics is essential for assessing ecosystem responses to climate change, particularly in ecologically sensitive regions like the Tibetan Plateau. While numerous studies have analyzed vegetation changes on the Tibetan Plateau from 1982 to 2015 using remote sensing data, most have been limited by insufficient temporal coverage and low-resolution datasets, constraining the accuracy of trend detection and driver analysis. To address this gap, we utilize a high-resolution Normalized Difference Vegetation Index (NDVI) dataset, generated by merging GIMMS and SPOT data via the Extended Observation Time (EOT) algorithm, to investigate vegetation trends, breakpoints, and their climatic drivers over 34 years, with a specific focus on elevation effects. Our results indicate a predominant greening trend, with NDVI increasing in 86% of the area and browning in 14%, and an average greening rate of 0.0012 per decade. However, this trend varies with elevation: greening is most pronounced below 1000 m, followed by 1000-2000 m and 3000-4000 m, while the weakest greening occurs at 2000-3000 m. Breakpoint analysis reveals major shifts around 1998, with 70.1% of vegetation experiencing abrupt changes between 1996 and 2000, and 59.4% showing their first breakpoint in 1998. The highest NDVI breakpoint rate (27%) is observed at 2000-3000 m. Additionally, we find that temperature exerts a stronger influence on NDVI dynamics than precipitation. These findings underscore the complex interactions between vegetation, elevation, and climate, emphasizing the need for enhanced ecological monitoring and conservation efforts. Future research should incorporate additional climatic variables and improved modeling techniques to refine our understanding of vegetation responses in this high-altitude environment.},
}
MeSH Terms:
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Tibet
*Climate Change
*Ecosystem
*Altitude
Plants
RevDate: 2025-03-22
The impact of climate change on Aedes aegypti distribution and dengue fever prevalence in semi-arid regions: A case study of Tehran Province, Iran.
Environmental research, 275:121441 pii:S0013-9351(25)00692-9 [Epub ahead of print].
INTRODUCTION: Climate change profoundly affects ecosystems and public health, particularly by altering the dynamics of vector-borne diseases. This study investigates the impact of climate change on the distribution and biological behavior of Aedes aegypti mosquitoes and the prevalence of dengue fever in Tehran Province, a semi-arid region of Iran. Over the past two decades, the province has experienced significant climatic shifts, including a 7.3 % increase in average annual temperature, a 12.5 % decrease in rainfall, and a 50 % rise in the number of hot days, creating favorable conditions for vector proliferation.
MATERIALS AND METHODS: Climatic data analysis, field monitoring of mosquito populations, and species distribution modeling (SDM) were employed to understand the ecological and epidemiological dynamics of Aedes aegypti in Tehran. Key variables such as temperature, rainfall, and artificial water sources were analyzed. Predictive models assessed the expansion of suitable mosquito habitats under moderate (RCP4.5) and severe (RCP8.5) climate scenarios.
RESULTS: Field data revealed an 87.5 % increase in mosquito density in urban areas and a doubling of densities in peri-urban and natural areas over two decades. Biological studies showed increases in mosquito lifespan (+50 %), egg production (+50 %), and larval development rates (+33 %) under warmer conditions. Predictive modeling indicated an 83 % expansion in suitable habitats by 2050 under the RCP8.5 scenario. Epidemiological data revealed a 200 % increase in dengue cases in urban areas and a 140-150 % rise in peri-urban and natural areas, driven by the expanding geographic range of Aedes aegypti.
DISCUSSION: The findings highlight the critical role of climate change in driving mosquito population growth and disease transmission in semi-arid regions. Enhanced surveillance, climate-resilient urban planning, and integrated vector control measures are essential to mitigate these risks. This study provides actionable insights into the complex relationship between climate change and vector-borne diseases, underscoring the urgent need for targeted public health interventions to prevent future outbreaks.
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@article {pmid40118318,
year = {2025},
author = {Abbasi, E},
title = {The impact of climate change on Aedes aegypti distribution and dengue fever prevalence in semi-arid regions: A case study of Tehran Province, Iran.},
journal = {Environmental research},
volume = {275},
number = {},
pages = {121441},
doi = {10.1016/j.envres.2025.121441},
pmid = {40118318},
issn = {1096-0953},
abstract = {INTRODUCTION: Climate change profoundly affects ecosystems and public health, particularly by altering the dynamics of vector-borne diseases. This study investigates the impact of climate change on the distribution and biological behavior of Aedes aegypti mosquitoes and the prevalence of dengue fever in Tehran Province, a semi-arid region of Iran. Over the past two decades, the province has experienced significant climatic shifts, including a 7.3 % increase in average annual temperature, a 12.5 % decrease in rainfall, and a 50 % rise in the number of hot days, creating favorable conditions for vector proliferation.
MATERIALS AND METHODS: Climatic data analysis, field monitoring of mosquito populations, and species distribution modeling (SDM) were employed to understand the ecological and epidemiological dynamics of Aedes aegypti in Tehran. Key variables such as temperature, rainfall, and artificial water sources were analyzed. Predictive models assessed the expansion of suitable mosquito habitats under moderate (RCP4.5) and severe (RCP8.5) climate scenarios.
RESULTS: Field data revealed an 87.5 % increase in mosquito density in urban areas and a doubling of densities in peri-urban and natural areas over two decades. Biological studies showed increases in mosquito lifespan (+50 %), egg production (+50 %), and larval development rates (+33 %) under warmer conditions. Predictive modeling indicated an 83 % expansion in suitable habitats by 2050 under the RCP8.5 scenario. Epidemiological data revealed a 200 % increase in dengue cases in urban areas and a 140-150 % rise in peri-urban and natural areas, driven by the expanding geographic range of Aedes aegypti.
DISCUSSION: The findings highlight the critical role of climate change in driving mosquito population growth and disease transmission in semi-arid regions. Enhanced surveillance, climate-resilient urban planning, and integrated vector control measures are essential to mitigate these risks. This study provides actionable insights into the complex relationship between climate change and vector-borne diseases, underscoring the urgent need for targeted public health interventions to prevent future outbreaks.},
}
RevDate: 2025-03-22
The impact of climate change on travel-related vector-borne diseases: A case study on dengue virus transmission.
Travel medicine and infectious disease, 65:102841 pii:S1477-8939(25)00047-X [Epub ahead of print].
INTRODUCTION: Climate change significantly affects global health, particularly through the increased transmission of vector-borne diseases like dengue fever. This study examines how climate change influences the geographical spread of Aedes aegypti mosquitoes, the main carriers of dengue, highlighting its implications for public health worldwide.
MATERIALS AND METHODS: This study employed a comprehensive approach to evaluate the effect of climate change on dengue transmission dynamics. It included environmental data analysis, mosquito population surveys, and dengue case reports. Remote sensing data was used to track changes in temperature, precipitation, and humidity in dengue-prone areas. Field surveys measured mosquito density, while molecular techniques assessed viral load in Aedes mosquitoes. Additionally, mathematical modeling predicted dengue's future spread under various climate scenarios.
RESULTS: The findings indicate a significant correlation between rising temperatures, changing rainfall patterns, and the expansion of Aedes aegypti habitats, resulting in increased mosquito populations in previously non-endemic areas. This ecological shift is linked to a rise in dengue incidence in regions affected by climate change. Projections suggest a 25 % increase in dengue spread by 2050, especially in Southeast Asia, sub-Saharan Africa, and parts of South America.
DISCUSSION: The study highlights the significant effects of climate change on mosquito distribution and the increasing rates of dengue fever. Warmer temperatures and altered rainfall patterns enhance mosquito growth and virus transmission, while global travel aids the spread of the virus. It emphasizes the necessity for early intervention strategies, including better surveillance, vector control, and adaptations to climate changes, to tackle future dengue transmission issues.
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PubMed:
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@article {pmid40118163,
year = {2025},
author = {Abbasi, E},
title = {The impact of climate change on travel-related vector-borne diseases: A case study on dengue virus transmission.},
journal = {Travel medicine and infectious disease},
volume = {65},
number = {},
pages = {102841},
doi = {10.1016/j.tmaid.2025.102841},
pmid = {40118163},
issn = {1873-0442},
abstract = {INTRODUCTION: Climate change significantly affects global health, particularly through the increased transmission of vector-borne diseases like dengue fever. This study examines how climate change influences the geographical spread of Aedes aegypti mosquitoes, the main carriers of dengue, highlighting its implications for public health worldwide.
MATERIALS AND METHODS: This study employed a comprehensive approach to evaluate the effect of climate change on dengue transmission dynamics. It included environmental data analysis, mosquito population surveys, and dengue case reports. Remote sensing data was used to track changes in temperature, precipitation, and humidity in dengue-prone areas. Field surveys measured mosquito density, while molecular techniques assessed viral load in Aedes mosquitoes. Additionally, mathematical modeling predicted dengue's future spread under various climate scenarios.
RESULTS: The findings indicate a significant correlation between rising temperatures, changing rainfall patterns, and the expansion of Aedes aegypti habitats, resulting in increased mosquito populations in previously non-endemic areas. This ecological shift is linked to a rise in dengue incidence in regions affected by climate change. Projections suggest a 25 % increase in dengue spread by 2050, especially in Southeast Asia, sub-Saharan Africa, and parts of South America.
DISCUSSION: The study highlights the significant effects of climate change on mosquito distribution and the increasing rates of dengue fever. Warmer temperatures and altered rainfall patterns enhance mosquito growth and virus transmission, while global travel aids the spread of the virus. It emphasizes the necessity for early intervention strategies, including better surveillance, vector control, and adaptations to climate changes, to tackle future dengue transmission issues.},
}
RevDate: 2025-03-21
Biogeochemical impact on the distribution variations of organophosphorus flame retardants in estuarine area and insight into climate change.
Journal of hazardous materials, 491:137993 pii:S0304-3894(25)00909-4 [Epub ahead of print].
This study investigated the biogeochemical dynamics influencing the distribution of organophosphorus flame retardants (OPFRs) from the Changjiang Estuary to the adjacent East China Sea, a region characterized by pronounced physicochemical gradients. Twelve out of thirteen OPFR congeners, including traditional and emerging OPFRs, were detected in sediments and seawater samples. Tris(2-chloroethyl) phosphate (TCEP) and tris(2-chloroisopropyl) phosphate (TCIPP) were the dominant congeners. Intensive relationships emerged between OPFR concentrations and biogeochemical parameters. Turbidity maximum zone (TMZ) was identified as a critical hotspot for OPFR pollution. Elevated OPFR levels in nutrient-rich upwelling and offshore regions suggest linkages to biological processes and potential ecological impacts. Furthermore, OPFR concentrations in seawater displayed inverse correlations with tidal fluctuations, highlighting hydrodynamic influences on contaminant dispersal. Based on the relationship between biogeochemical parameters and OPFR concentrations, a Random Forest (RF) model was developed to project OPFR concentrations for the year 2100 under a high-emission climate-change scenario (RCP 8.5). The prediction results were marginally lower compared to current conditions, and temperature emerged as the most significant driver of future OPFRs changes. Notably, emerging OPFRs presented comparable ecological risk to traditional OPFRs, which should be a concern in future regulations.
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@article {pmid40117774,
year = {2025},
author = {Wei, L and Yang, Y and Gao, H and Wang, R and Cao, F and Huang, Q},
title = {Biogeochemical impact on the distribution variations of organophosphorus flame retardants in estuarine area and insight into climate change.},
journal = {Journal of hazardous materials},
volume = {491},
number = {},
pages = {137993},
doi = {10.1016/j.jhazmat.2025.137993},
pmid = {40117774},
issn = {1873-3336},
abstract = {This study investigated the biogeochemical dynamics influencing the distribution of organophosphorus flame retardants (OPFRs) from the Changjiang Estuary to the adjacent East China Sea, a region characterized by pronounced physicochemical gradients. Twelve out of thirteen OPFR congeners, including traditional and emerging OPFRs, were detected in sediments and seawater samples. Tris(2-chloroethyl) phosphate (TCEP) and tris(2-chloroisopropyl) phosphate (TCIPP) were the dominant congeners. Intensive relationships emerged between OPFR concentrations and biogeochemical parameters. Turbidity maximum zone (TMZ) was identified as a critical hotspot for OPFR pollution. Elevated OPFR levels in nutrient-rich upwelling and offshore regions suggest linkages to biological processes and potential ecological impacts. Furthermore, OPFR concentrations in seawater displayed inverse correlations with tidal fluctuations, highlighting hydrodynamic influences on contaminant dispersal. Based on the relationship between biogeochemical parameters and OPFR concentrations, a Random Forest (RF) model was developed to project OPFR concentrations for the year 2100 under a high-emission climate-change scenario (RCP 8.5). The prediction results were marginally lower compared to current conditions, and temperature emerged as the most significant driver of future OPFRs changes. Notably, emerging OPFRs presented comparable ecological risk to traditional OPFRs, which should be a concern in future regulations.},
}
RevDate: 2025-03-26
CmpDate: 2025-03-21
Final year medical students' expectations for medical education on climate change and planetary health - a qualitative study.
Medical education online, 30(1):2477670.
OBJECTIVES: With the health impacts of climate change becoming increasingly evident, there is a pressing need to prepare and educate future physicians to address these challenges. This study therefore aims to explore in depth the perspectives of final-year medical students (FYMS) on the integration of Planetary Health Education (PHE) into medical curricula (i.e. content, methods, exams). Additionally, it seeks to understand how FYMS perceive the relevance of this topic to their future profession and their perceived responsibility.
METHODS: FYMS at the Heidelberg University Hospital were invited to participate in this qualitative interview study, resulting in 10 interviews conducted between December 2021 and March 2022. Using a semi-structured guide, students' views on the role of climate change in their future profession and their preferences for integrating climate change into medical curricula were explored. Interviews were audio-recorded and transcribed verbatim. Data analysis followed a structuring qualitative content analysis approach according to Kuckartz, utilizing deductive and inductive methods. Coding was performed using MAXQDA24, with iterative revisions by the authors.
RESULTS: Participating FYMS recognized the relevance of climate change to their future practice but expressed varying degrees of perceived responsibility in addressing it with patients, e.g. depending on their desired specialization. While often struggling to identify specific content for a PHE-curriculum, FYMS emphasized the wish for knowledge on health impacts of climate change, communication skills and interactive, practice-oriented teaching methods. FYMS also reported several reservations and perceived challenges, e.g. concerning the integration of basic climate science or the introduction of mandatory exams.
CONCLUSION: This study provides unique insights into FYMS' perceptions of PHE, emphasizing the importance of integrating climate change and health topics into medical curricula and revealing perceived limitations. By aligning educational approaches with students' preferences and especially their concerns, appealing curricula can ultimately foster a more climate-sensitive medical practice.
Additional Links: PMID-40116041
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@article {pmid40116041,
year = {2025},
author = {Flock, C and Boekels, R and Herrmann, A and Beig, I and Lamkemeyer, L and Friederich, HC and Nikendei, C and Bugaj, TJ},
title = {Final year medical students' expectations for medical education on climate change and planetary health - a qualitative study.},
journal = {Medical education online},
volume = {30},
number = {1},
pages = {2477670},
pmid = {40116041},
issn = {1087-2981},
mesh = {*Climate Change ; Humans ; *Students, Medical/psychology ; *Qualitative Research ; *Curriculum ; Education, Medical, Undergraduate ; Interviews as Topic ; Female ; Male ; Global Health/education ; Attitude of Health Personnel ; },
abstract = {OBJECTIVES: With the health impacts of climate change becoming increasingly evident, there is a pressing need to prepare and educate future physicians to address these challenges. This study therefore aims to explore in depth the perspectives of final-year medical students (FYMS) on the integration of Planetary Health Education (PHE) into medical curricula (i.e. content, methods, exams). Additionally, it seeks to understand how FYMS perceive the relevance of this topic to their future profession and their perceived responsibility.
METHODS: FYMS at the Heidelberg University Hospital were invited to participate in this qualitative interview study, resulting in 10 interviews conducted between December 2021 and March 2022. Using a semi-structured guide, students' views on the role of climate change in their future profession and their preferences for integrating climate change into medical curricula were explored. Interviews were audio-recorded and transcribed verbatim. Data analysis followed a structuring qualitative content analysis approach according to Kuckartz, utilizing deductive and inductive methods. Coding was performed using MAXQDA24, with iterative revisions by the authors.
RESULTS: Participating FYMS recognized the relevance of climate change to their future practice but expressed varying degrees of perceived responsibility in addressing it with patients, e.g. depending on their desired specialization. While often struggling to identify specific content for a PHE-curriculum, FYMS emphasized the wish for knowledge on health impacts of climate change, communication skills and interactive, practice-oriented teaching methods. FYMS also reported several reservations and perceived challenges, e.g. concerning the integration of basic climate science or the introduction of mandatory exams.
CONCLUSION: This study provides unique insights into FYMS' perceptions of PHE, emphasizing the importance of integrating climate change and health topics into medical curricula and revealing perceived limitations. By aligning educational approaches with students' preferences and especially their concerns, appealing curricula can ultimately foster a more climate-sensitive medical practice.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Climate Change
Humans
*Students, Medical/psychology
*Qualitative Research
*Curriculum
Education, Medical, Undergraduate
Interviews as Topic
Female
Male
Global Health/education
Attitude of Health Personnel
RevDate: 2025-03-22
CmpDate: 2025-03-21
Projecting the potential distribution of Rickettsia japonica in China and Asian adjacent regions under climate change using the Maxent model.
Frontiers in public health, 13:1478736.
OBJECTIVE: To determine the current and future suitable areas of Rickettsia japonica, and to provide a reference for preventing its outbreak and spread.
METHODS: Based on the geographic distribution of R. japonica and Haemaphysalis longicornis overlapping data points and information on 56 climatic factors, we utilized the Maxent model to estimate suitable areas for R. japonica in Asian adjacent Regions and China. Model parameter adjustments and the construction of receiver operating characteristic curves were conducted using R 4.3.0 software.
RESULTS: Average precipitation in June (prec6, 28.2%), Temperature Seasonality (bio4, 9.8%) and the minimum temperature in August (tmin8, 9.2%) contributed most to the distribution of R. japonica. The performance metrics for the Maxent model in predicting the distribution of R. japonica are as follows: the Area Under the Curve (AUC) is 0.990, the True Skill Statistic (TSS) is 0.857, and the Kappa statistic is 0.763. Under current climatic conditions, the Asian and adjacent space medium and highly suitable areas for R. japonica are estimated to be 176.78 × 10[4] km[2] and 95.13 × 10[4] km[2], respectively. The highly suitable areas for R. japonica were mainly distributed in east and south Asia. In China, the high suitability areas are mainly distributed in the southeast coastal areas and the Qinling Mountains and Huai River cities. Under future climatic conditions, the Asian and adjacent regions maximum area change rate of R. japonica increased by 118.65%, and that of China increased by 50.42%. Meanwhile, the suitable areas of R. japonica gradually expanding northward in China.
CONCLUSION: Under global climate change, the suitable area of R. japonica is generally increasing, with a northward shift observed in China. Governments should strengthen monitoring, risk assessment, and response strategies in highly suitable regions, while also preventing the invasion of R. japonica from external source.
Additional Links: PMID-40115352
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@article {pmid40115352,
year = {2025},
author = {Wang, X and Shang, M and Wang, Z and Ji, H and Wang, Z and Liu, Q},
title = {Projecting the potential distribution of Rickettsia japonica in China and Asian adjacent regions under climate change using the Maxent model.},
journal = {Frontiers in public health},
volume = {13},
number = {},
pages = {1478736},
pmid = {40115352},
issn = {2296-2565},
mesh = {*Climate Change/statistics & numerical data ; China/epidemiology ; *Rickettsia/isolation & purification ; Animals ; Rickettsia Infections/epidemiology ; Humans ; Ixodidae/microbiology ; Seasons ; Asia ; },
abstract = {OBJECTIVE: To determine the current and future suitable areas of Rickettsia japonica, and to provide a reference for preventing its outbreak and spread.
METHODS: Based on the geographic distribution of R. japonica and Haemaphysalis longicornis overlapping data points and information on 56 climatic factors, we utilized the Maxent model to estimate suitable areas for R. japonica in Asian adjacent Regions and China. Model parameter adjustments and the construction of receiver operating characteristic curves were conducted using R 4.3.0 software.
RESULTS: Average precipitation in June (prec6, 28.2%), Temperature Seasonality (bio4, 9.8%) and the minimum temperature in August (tmin8, 9.2%) contributed most to the distribution of R. japonica. The performance metrics for the Maxent model in predicting the distribution of R. japonica are as follows: the Area Under the Curve (AUC) is 0.990, the True Skill Statistic (TSS) is 0.857, and the Kappa statistic is 0.763. Under current climatic conditions, the Asian and adjacent space medium and highly suitable areas for R. japonica are estimated to be 176.78 × 10[4] km[2] and 95.13 × 10[4] km[2], respectively. The highly suitable areas for R. japonica were mainly distributed in east and south Asia. In China, the high suitability areas are mainly distributed in the southeast coastal areas and the Qinling Mountains and Huai River cities. Under future climatic conditions, the Asian and adjacent regions maximum area change rate of R. japonica increased by 118.65%, and that of China increased by 50.42%. Meanwhile, the suitable areas of R. japonica gradually expanding northward in China.
CONCLUSION: Under global climate change, the suitable area of R. japonica is generally increasing, with a northward shift observed in China. Governments should strengthen monitoring, risk assessment, and response strategies in highly suitable regions, while also preventing the invasion of R. japonica from external source.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Climate Change/statistics & numerical data
China/epidemiology
*Rickettsia/isolation & purification
Animals
Rickettsia Infections/epidemiology
Humans
Ixodidae/microbiology
Seasons
Asia
RevDate: 2025-03-22
Climate change unveils hidden microbial dangers.
Environmental science and ecotechnology, 24:100544.
Climate change is driving unprecedented transformations in aquatic ecosystems, where microorganisms play a fundamental role in maintaining ecological balance and human health security. Rising water temperatures, pollution intensification, and extreme weather events are driving significant shifts in microbial community structures. These changes facilitate the proliferation of pathogenic microorganisms such as Vibrio cholerae and harmful algae like cyanobacteria, which thrive in warmer, nutrient-enriched environments. The resulting harmful algal blooms release potent toxins, such as microcystins, that contaminate drinking water and food supplies, leading to severe health impacts, including liver diseases and carcinogenesis. Furthermore, antibiotic resistance genes are spreading more rapidly due to climate-induced stressors, increasing the prevalence of antimicrobial-resistant pathogens and compounding the challenges for global health systems. This discussion article demonstrates that climate change influences aquatic microbial ecosystems through interconnected mechanisms, including shifts in gene transfer networks, alterations in microbial metabolism, and ecological feedback loops, ultimately increasing waterborne disease risks and antimicrobial resistance. Specific solutions are proposed, such as advancing wastewater treatment technologies to address climate-induced pollution, establishing global microbial monitoring networks leveraging remote sensing and molecular tools, and implementing early warning systems for waterborne disease outbreaks. Additionally, the discussion article emphasizes the critical role of international cooperation in funding and capacity-building efforts, particularly in developing regions with fragile infrastructures. By highlighting these pressing challenges and proposing actionable strategies, this research underscores the urgent need for integrated approaches to safeguard water resources, mitigate microbial hazards, and enhance public health resilience in an era of accelerating climate change.
Additional Links: PMID-40115027
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@article {pmid40115027,
year = {2025},
author = {Yu, H},
title = {Climate change unveils hidden microbial dangers.},
journal = {Environmental science and ecotechnology},
volume = {24},
number = {},
pages = {100544},
pmid = {40115027},
issn = {2666-4984},
abstract = {Climate change is driving unprecedented transformations in aquatic ecosystems, where microorganisms play a fundamental role in maintaining ecological balance and human health security. Rising water temperatures, pollution intensification, and extreme weather events are driving significant shifts in microbial community structures. These changes facilitate the proliferation of pathogenic microorganisms such as Vibrio cholerae and harmful algae like cyanobacteria, which thrive in warmer, nutrient-enriched environments. The resulting harmful algal blooms release potent toxins, such as microcystins, that contaminate drinking water and food supplies, leading to severe health impacts, including liver diseases and carcinogenesis. Furthermore, antibiotic resistance genes are spreading more rapidly due to climate-induced stressors, increasing the prevalence of antimicrobial-resistant pathogens and compounding the challenges for global health systems. This discussion article demonstrates that climate change influences aquatic microbial ecosystems through interconnected mechanisms, including shifts in gene transfer networks, alterations in microbial metabolism, and ecological feedback loops, ultimately increasing waterborne disease risks and antimicrobial resistance. Specific solutions are proposed, such as advancing wastewater treatment technologies to address climate-induced pollution, establishing global microbial monitoring networks leveraging remote sensing and molecular tools, and implementing early warning systems for waterborne disease outbreaks. Additionally, the discussion article emphasizes the critical role of international cooperation in funding and capacity-building efforts, particularly in developing regions with fragile infrastructures. By highlighting these pressing challenges and proposing actionable strategies, this research underscores the urgent need for integrated approaches to safeguard water resources, mitigate microbial hazards, and enhance public health resilience in an era of accelerating climate change.},
}
RevDate: 2025-03-22
A comparison of seasonal rainfall forecasts over Central America using dynamic and hybrid approaches from Copernicus Climate Change Service seasonal forecasting system and the North American Multimodel Ensemble.
International journal of climatology : a journal of the Royal Meteorological Society, 43(5):2175-2199.
Seasonal rainfall forecasts provide information several months ahead to support decision making. These forecasts may use dynamic, statistical, or hybrid approaches, but their comparative value is not well understood over Central America. This study conducts a regional evaluation of seasonal rainfall forecasts focusing on two of the leading dynamic climate ensembles: the Copernicus Climate Change Service seasonal forecasting system (C3S) and the North American Multimodel Ensemble (NMME). We compare the multimodel ensemble mean and individual model predictions of seasonal rainfall over key wet season periods in Central America to better understand their relative forecast skill at the seasonal scale. Three types of rainfall forecasts are compared: direct dynamic rainfall predictions from the C3S and NMME ensembles, a statistical approach using the lagged observed sea surface temperature (SST), and an indirect hybrid approach, driving a statistical model with dynamic ensemble SST predictions. Results show that C3S and NMME exhibit similar regional variability with strong performance in the northern Pacific part of Central America and weaker skill primarily in eastern Nicaragua. In the northern Pacific part of the region, the models have high skill across the wet season. Indirect forecasts can outperform the direct rainfall forecasts in specific cases where the direct forecasts have lower predictive power (e.g., eastern Nicaragua during the early wet season). The indirect skill generally reflects the strength of SST associations with rainfall. The indirect forecasts based on Tropical North Atlantic SSTs are best in the early wet season and the indirect forecasts based on Niño3.4 SSTs are best in the late wet season when each SST zone has a stronger association with rainfall. Statistical predictions are competitive with the indirect and direct forecasts in multiple cases, especially in the late wet season, demonstrating how a variety of forecasting approaches can enhance seasonal forecasting.
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@article {pmid40115664,
year = {2023},
author = {Kowal, KM and Slater, LJ and García López, A and Van Loon, AF},
title = {A comparison of seasonal rainfall forecasts over Central America using dynamic and hybrid approaches from Copernicus Climate Change Service seasonal forecasting system and the North American Multimodel Ensemble.},
journal = {International journal of climatology : a journal of the Royal Meteorological Society},
volume = {43},
number = {5},
pages = {2175-2199},
pmid = {40115664},
issn = {0899-8418},
abstract = {Seasonal rainfall forecasts provide information several months ahead to support decision making. These forecasts may use dynamic, statistical, or hybrid approaches, but their comparative value is not well understood over Central America. This study conducts a regional evaluation of seasonal rainfall forecasts focusing on two of the leading dynamic climate ensembles: the Copernicus Climate Change Service seasonal forecasting system (C3S) and the North American Multimodel Ensemble (NMME). We compare the multimodel ensemble mean and individual model predictions of seasonal rainfall over key wet season periods in Central America to better understand their relative forecast skill at the seasonal scale. Three types of rainfall forecasts are compared: direct dynamic rainfall predictions from the C3S and NMME ensembles, a statistical approach using the lagged observed sea surface temperature (SST), and an indirect hybrid approach, driving a statistical model with dynamic ensemble SST predictions. Results show that C3S and NMME exhibit similar regional variability with strong performance in the northern Pacific part of Central America and weaker skill primarily in eastern Nicaragua. In the northern Pacific part of the region, the models have high skill across the wet season. Indirect forecasts can outperform the direct rainfall forecasts in specific cases where the direct forecasts have lower predictive power (e.g., eastern Nicaragua during the early wet season). The indirect skill generally reflects the strength of SST associations with rainfall. The indirect forecasts based on Tropical North Atlantic SSTs are best in the early wet season and the indirect forecasts based on Niño3.4 SSTs are best in the late wet season when each SST zone has a stronger association with rainfall. Statistical predictions are competitive with the indirect and direct forecasts in multiple cases, especially in the late wet season, demonstrating how a variety of forecasting approaches can enhance seasonal forecasting.},
}
RevDate: 2025-03-24
CmpDate: 2025-03-21
Predicting habitat suitability of Illicium griffithii under climate change scenarios using an ensemble modeling approach.
Scientific reports, 15(1):9691.
Climate change is the most significant threat to global biodiversity, risking extinction for many species due to their limited adaptability to rapidly changing environmental conditions, such as temperature, precipitation, and other climate variables. Illicium griffithii, an endangered tree with ecological and medicinal value, remains understudied, particularly in Arunachal Pradesh. The aim of the study is to identify key environmental variables influencing the current distribution of I. griffithii and to predict the potential distribution under current and future climatic scenarios (SSP245 and SSP585). We used an ensemble modeling approach that integrates five species distribution models (SDMs). After multicollinearity test, we utilized fifteen environmental variables including bioclimatic variables, soil properties, topographical variables, and evapotranspiration to predict the potential distribution of I. griffithii. The study revealed that the current distribution is predominantly influenced by isothermality, nitrogen content at 0-5 cm depth, clay content at 0-5 cm depth, and seasonality of precipitation, with a total contribution rate of 42.6%. The ensemble model performed robustly and found to be excellent performance based on AUC of 0.94 and TSS of 0.83. The total highly suitable area for I. griffithii spans 722.72 km[2] in the current scenario, primarily located in West Kameng, Tawang, and East Kameng districts. West Kameng stands out as the largest high-suitability area, which covers 592.83 km[2] and contributing a substantial 82.03% of the total suitable area. However, under the SSP585 future climate scenario (2041-2060), projections reveal a concerning decline in highly suitable areas. The area is expected to shrink by over 5.05%, decreasing from 722.72 to 686.25 km[2]. The results have highlighted the vulnerability of I. griffithii under future climatic scenario. Hence, forest managers should prioritize conserving suitable habitats in West Kameng, Tawang, and East Kameng districts of Arunachal Pradesh by implementing habitat restoration, assisted migration and ex situ conservation strategies that can mitigate climate change impacts.
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@article {pmid40113947,
year = {2025},
author = {Bhuyan, A and Bawri, A and Saikia, BP and Baidya, S and Hazarika, S and Thakur, B and Chetry, V and Deka, BS and Bharali, P and Prakash, A and Sarma, K and Devi, A},
title = {Predicting habitat suitability of Illicium griffithii under climate change scenarios using an ensemble modeling approach.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {9691},
pmid = {40113947},
issn = {2045-2322},
mesh = {*Climate Change ; *Ecosystem ; Biodiversity ; India ; Soil/chemistry ; },
abstract = {Climate change is the most significant threat to global biodiversity, risking extinction for many species due to their limited adaptability to rapidly changing environmental conditions, such as temperature, precipitation, and other climate variables. Illicium griffithii, an endangered tree with ecological and medicinal value, remains understudied, particularly in Arunachal Pradesh. The aim of the study is to identify key environmental variables influencing the current distribution of I. griffithii and to predict the potential distribution under current and future climatic scenarios (SSP245 and SSP585). We used an ensemble modeling approach that integrates five species distribution models (SDMs). After multicollinearity test, we utilized fifteen environmental variables including bioclimatic variables, soil properties, topographical variables, and evapotranspiration to predict the potential distribution of I. griffithii. The study revealed that the current distribution is predominantly influenced by isothermality, nitrogen content at 0-5 cm depth, clay content at 0-5 cm depth, and seasonality of precipitation, with a total contribution rate of 42.6%. The ensemble model performed robustly and found to be excellent performance based on AUC of 0.94 and TSS of 0.83. The total highly suitable area for I. griffithii spans 722.72 km[2] in the current scenario, primarily located in West Kameng, Tawang, and East Kameng districts. West Kameng stands out as the largest high-suitability area, which covers 592.83 km[2] and contributing a substantial 82.03% of the total suitable area. However, under the SSP585 future climate scenario (2041-2060), projections reveal a concerning decline in highly suitable areas. The area is expected to shrink by over 5.05%, decreasing from 722.72 to 686.25 km[2]. The results have highlighted the vulnerability of I. griffithii under future climatic scenario. Hence, forest managers should prioritize conserving suitable habitats in West Kameng, Tawang, and East Kameng districts of Arunachal Pradesh by implementing habitat restoration, assisted migration and ex situ conservation strategies that can mitigate climate change impacts.},
}
MeSH Terms:
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*Climate Change
*Ecosystem
Biodiversity
India
Soil/chemistry
RevDate: 2025-03-24
CmpDate: 2025-03-24
Incorporating genetic load contributes to predicting Arabidopsis thaliana's response to climate change.
Nature communications, 16(1):2752.
Understanding how species respond to climate change can facilitate species conservation and crop breeding. Current prediction frameworks about population vulnerability focused on predicting range shifts or local adaptation but ignored genetic load, which is also crucial for adaptation. By analyzing 1115 globally distributed Arabidopsis thaliana natural accessions, we find that effective population size (Ne) is the major contributor of genetic load variation, both along genome and among populations, and can explain 74-94% genetic load variation in natural populations. Intriguingly, Ne affects genetic load by changing both effectiveness of purifying selection and GC biased gene conversion strength. In particular, by incorporating genetic load, genetic offset and species distribution models (SDM), we predict that, the populations at species' range edge are generally at higher risk. The populations at the eastern range perform poorer in all aspects, southern range have higher genetic offset and lower SDM suitability, while northern range have higher genetic load. Among the diverse natural populations, the Yangtze River basin population is the most vulnerable population under future climate change. Overall, here we deciphered the driving forces of genetic load in A. thaliana, and incorporated SDM, local adaptation and genetic load to predict the fate of populations under future climate change.
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@article {pmid40113777,
year = {2025},
author = {Jiang, J and Chen, JF and Li, XT and Wang, L and Mao, JF and Wang, BS and Guo, YL},
title = {Incorporating genetic load contributes to predicting Arabidopsis thaliana's response to climate change.},
journal = {Nature communications},
volume = {16},
number = {1},
pages = {2752},
pmid = {40113777},
issn = {2041-1723},
support = {31925004//National Natural Science Foundation of China (National Science Foundation of China)/ ; 32430008//National Natural Science Foundation of China (National Science Foundation of China)/ ; },
mesh = {*Acclimatization/physiology ; Arabidopsis Proteins/genetics ; Biodiversity ; China ; *Climate Change ; Genetic Load ; Population ; *Arabidopsis/genetics ; },
abstract = {Understanding how species respond to climate change can facilitate species conservation and crop breeding. Current prediction frameworks about population vulnerability focused on predicting range shifts or local adaptation but ignored genetic load, which is also crucial for adaptation. By analyzing 1115 globally distributed Arabidopsis thaliana natural accessions, we find that effective population size (Ne) is the major contributor of genetic load variation, both along genome and among populations, and can explain 74-94% genetic load variation in natural populations. Intriguingly, Ne affects genetic load by changing both effectiveness of purifying selection and GC biased gene conversion strength. In particular, by incorporating genetic load, genetic offset and species distribution models (SDM), we predict that, the populations at species' range edge are generally at higher risk. The populations at the eastern range perform poorer in all aspects, southern range have higher genetic offset and lower SDM suitability, while northern range have higher genetic load. Among the diverse natural populations, the Yangtze River basin population is the most vulnerable population under future climate change. Overall, here we deciphered the driving forces of genetic load in A. thaliana, and incorporated SDM, local adaptation and genetic load to predict the fate of populations under future climate change.},
}
MeSH Terms:
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*Acclimatization/physiology
Arabidopsis Proteins/genetics
Biodiversity
China
*Climate Change
Genetic Load
Population
*Arabidopsis/genetics
RevDate: 2025-03-24
CmpDate: 2025-03-21
Exploring the Bacteriome Diversity and Use as a Proxy for Climate Change and Human Impacts on Groundwater in Temperate and Tropical Countries.
Microbial ecology, 88(1):17.
This research investigates bacterial communities in various cave pool water and substrates from Brazil and Romania for their use as indicators of environmental impacts on groundwater. Regional and seasonal differences were observed even if, at the phylum level, common bacteria for both countries were found. Distinct patterns emerged at the genus level due to the different climates (tropical vs. temperate) and ecosystems. Chemoautotrophic conditions define an utterly different groundwater bacteriome than oligotrophic conditions independent of the temperature. Bacteria as a proxy for climate change were explored using seasonal changes in Romanian caves; specific genera become dominant in summer months, such as Acinetobacter, Paeniglutamicibacter, Polaromonas, and Saccharimonadales, indicating processes that occur during the low-water season. Climate change, particularly dryness, is expected to exacerbate these variations, threatening the stability of groundwater ecosystems. The research also identified anthropic pollution indicators (Vogesella, Cutibacterium) and potential decontaminants (Bacillus) in Brazilian cave waters. Anthropic pollution indicators, like Pseudoarthrobacter. were also found in Romanian caves. Other key bacteria genera, such as Flavobacterium, Pseudomonas, and Acinetobacter, are chemolithotrophs or involved in the nitrogen cycle, which is critical in supplying nutrients for the cave food web. Marked differences between water and substrate microbiomes within the same pools suggested that substrates may play a crucial, underexplored role in groundwater ecosystem processes. Our study found unassigned taxa, 3 phyla, 2 families, and 832 genera (> 40%) in the studied pools. The results underscore the need to further explore groundwater microbiomes as potentially crucial yet fragile ecosystems in the face of climate change and human impacts.
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@article {pmid40113629,
year = {2025},
author = {Moldovan, OT and Levei, E and Ferreira, RL and Silva, MS and Mirea, IC},
title = {Exploring the Bacteriome Diversity and Use as a Proxy for Climate Change and Human Impacts on Groundwater in Temperate and Tropical Countries.},
journal = {Microbial ecology},
volume = {88},
number = {1},
pages = {17},
pmid = {40113629},
issn = {1432-184X},
support = {PN-III-P4-ID-PCCF-2016-0016 (DARKFOOD)//Ministry of Research and Innovation, CNCS - UEFISCDI/ ; PN-III-P4-ID-PCCF-2016-0016 (DARKFOOD)//Ministry of Research and Innovation, CNCS - UEFISCDI/ ; PN-III-P4-ID-PCCF-2016-0016 (DARKFOOD)//Ministry of Research and Innovation, CNCS - UEFISCDI/ ; GA N°101052342//Biodiversa+, the European Biodiversity Partnership/ ; CNPq n. 302925/2022-8//National Council for Scientific and Technological Development/ ; CNPq n. 302925/2022-8//National Council for Scientific and Technological Development/ ; },
mesh = {*Groundwater/microbiology/chemistry ; *Bacteria/classification/genetics/isolation & purification ; Brazil ; *Climate Change ; *Caves/microbiology ; Romania ; Humans ; Microbiota ; Seasons ; Biodiversity ; Tropical Climate ; Ecosystem ; Water Microbiology ; },
abstract = {This research investigates bacterial communities in various cave pool water and substrates from Brazil and Romania for their use as indicators of environmental impacts on groundwater. Regional and seasonal differences were observed even if, at the phylum level, common bacteria for both countries were found. Distinct patterns emerged at the genus level due to the different climates (tropical vs. temperate) and ecosystems. Chemoautotrophic conditions define an utterly different groundwater bacteriome than oligotrophic conditions independent of the temperature. Bacteria as a proxy for climate change were explored using seasonal changes in Romanian caves; specific genera become dominant in summer months, such as Acinetobacter, Paeniglutamicibacter, Polaromonas, and Saccharimonadales, indicating processes that occur during the low-water season. Climate change, particularly dryness, is expected to exacerbate these variations, threatening the stability of groundwater ecosystems. The research also identified anthropic pollution indicators (Vogesella, Cutibacterium) and potential decontaminants (Bacillus) in Brazilian cave waters. Anthropic pollution indicators, like Pseudoarthrobacter. were also found in Romanian caves. Other key bacteria genera, such as Flavobacterium, Pseudomonas, and Acinetobacter, are chemolithotrophs or involved in the nitrogen cycle, which is critical in supplying nutrients for the cave food web. Marked differences between water and substrate microbiomes within the same pools suggested that substrates may play a crucial, underexplored role in groundwater ecosystem processes. Our study found unassigned taxa, 3 phyla, 2 families, and 832 genera (> 40%) in the studied pools. The results underscore the need to further explore groundwater microbiomes as potentially crucial yet fragile ecosystems in the face of climate change and human impacts.},
}
MeSH Terms:
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*Groundwater/microbiology/chemistry
*Bacteria/classification/genetics/isolation & purification
Brazil
*Climate Change
*Caves/microbiology
Romania
Humans
Microbiota
Seasons
Biodiversity
Tropical Climate
Ecosystem
Water Microbiology
RevDate: 2025-03-24
CmpDate: 2025-03-21
Climate change and environmental radioactivity: a review of studies on climate conditions in variation on indoor radon concentrations.
Environmental monitoring and assessment, 197(4):446.
Climate change is increasingly recognized as a critical factor influencing various environmental and public health issues. This paper discusses the link between climate change parameters and elevated indoor radon levels, aiming to highlight the necessity for urgent public health intervention. By examining temperature fluctuations, precipitation patterns, extreme weather events, and geological changes, the paper elucidates how these factors contribute to the variability of indoor radon concentrations. A review of 31 indoor radon studies from different countries revealed substantial variation in indoor radon concentrations. The weighted mean indoor radon concentration was 178 Bq/m[3], with a standard deviation of 193 Bq/m[3]. The minimum and maximum concentrations measured were 14.3 Bq/m[3] and 1083 Bq/m[3], respectively. Drawing from the findings of other scholars, a significant correlation between climate change and increased radon levels in residential areas has been revealed, suggesting potential health risks for occupants. This paper underscores the urgent need for public health strategies and policies to mitigate radon exposure, enhance awareness, and protect vulnerable populations. There is an urgent need for comprehensive measures, including improved building practices, regular radon monitoring, and robust public health campaigns to address the emerging threat posed by climate-induced radon exposure.
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@article {pmid40113619,
year = {2025},
author = {Rathebe, PC and Mphaga, KV and Masekameni, DM},
title = {Climate change and environmental radioactivity: a review of studies on climate conditions in variation on indoor radon concentrations.},
journal = {Environmental monitoring and assessment},
volume = {197},
number = {4},
pages = {446},
pmid = {40113619},
issn = {1573-2959},
mesh = {*Radon/analysis ; *Climate Change ; *Air Pollution, Indoor/analysis/statistics & numerical data ; *Radiation Monitoring ; *Air Pollutants, Radioactive/analysis ; Humans ; },
abstract = {Climate change is increasingly recognized as a critical factor influencing various environmental and public health issues. This paper discusses the link between climate change parameters and elevated indoor radon levels, aiming to highlight the necessity for urgent public health intervention. By examining temperature fluctuations, precipitation patterns, extreme weather events, and geological changes, the paper elucidates how these factors contribute to the variability of indoor radon concentrations. A review of 31 indoor radon studies from different countries revealed substantial variation in indoor radon concentrations. The weighted mean indoor radon concentration was 178 Bq/m[3], with a standard deviation of 193 Bq/m[3]. The minimum and maximum concentrations measured were 14.3 Bq/m[3] and 1083 Bq/m[3], respectively. Drawing from the findings of other scholars, a significant correlation between climate change and increased radon levels in residential areas has been revealed, suggesting potential health risks for occupants. This paper underscores the urgent need for public health strategies and policies to mitigate radon exposure, enhance awareness, and protect vulnerable populations. There is an urgent need for comprehensive measures, including improved building practices, regular radon monitoring, and robust public health campaigns to address the emerging threat posed by climate-induced radon exposure.},
}
MeSH Terms:
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*Radon/analysis
*Climate Change
*Air Pollution, Indoor/analysis/statistics & numerical data
*Radiation Monitoring
*Air Pollutants, Radioactive/analysis
Humans
RevDate: 2025-03-21
Climate change increases public health risks from Tityus scorpion stings in Brazil.
Toxicon : official journal of the International Society on Toxinology, 258:108326 pii:S0041-0101(25)00100-X [Epub ahead of print].
Urban environments provide Tityus scorpions with abundant prey and shelter, leading to increased human-scorpion encounters and associated public health risks. In this study, we model the distribution of seven medically relevant Tityus species and project the potential impacts of climate change on their distribution across Brazil by 2060. We compiled 1103 occurrence records from the GBIF, iNaturalist, SpeciesLink, and SiBBr databases and applied ecological niche modeling using climate projections for 2041-2060 from WorldClim. Model validation yielded high AUC values, demonstrating a strong agreement between observed distributions and model predictions. Future climate scenarios predict a reduction in Tityus serrulatus habitat suitability. Despite this reduction, models indicate an increase in high-suitability areas, suggesting a possible local expansion in optimal habitats. Conversely, T. metuendus, T. obscurus, and T. silvestris are expected to undergo a significant increase in habitat suitability, potentially expanding into previously unsuitable areas due to temperature and precipitation shifts. Tityus stigmurus is also projected to benefit from climate change with an increase in suitable habitats, although its expansion is more restricted compared to the other species. In contrast, T. bahiensis and T. trivittatus are expected to face a reduction in habitat suitability. These findings highlight that climate-driven habitat reduction may concentrate scorpion populations in densely populated areas, exacerbating public health risks. Therefore, targeted governmental interventions are crucial to mitigate the escalating threat posed by Tityus scorpions in urban settings under climate change scenarios.
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@article {pmid40113181,
year = {2025},
author = {Freitas Barroso, R and Cardoso, VL and Alves, AG and Lira, AFA and Ferreira, RG and Costa, LF and Tizo-Pedroso, E},
title = {Climate change increases public health risks from Tityus scorpion stings in Brazil.},
journal = {Toxicon : official journal of the International Society on Toxinology},
volume = {258},
number = {},
pages = {108326},
doi = {10.1016/j.toxicon.2025.108326},
pmid = {40113181},
issn = {1879-3150},
abstract = {Urban environments provide Tityus scorpions with abundant prey and shelter, leading to increased human-scorpion encounters and associated public health risks. In this study, we model the distribution of seven medically relevant Tityus species and project the potential impacts of climate change on their distribution across Brazil by 2060. We compiled 1103 occurrence records from the GBIF, iNaturalist, SpeciesLink, and SiBBr databases and applied ecological niche modeling using climate projections for 2041-2060 from WorldClim. Model validation yielded high AUC values, demonstrating a strong agreement between observed distributions and model predictions. Future climate scenarios predict a reduction in Tityus serrulatus habitat suitability. Despite this reduction, models indicate an increase in high-suitability areas, suggesting a possible local expansion in optimal habitats. Conversely, T. metuendus, T. obscurus, and T. silvestris are expected to undergo a significant increase in habitat suitability, potentially expanding into previously unsuitable areas due to temperature and precipitation shifts. Tityus stigmurus is also projected to benefit from climate change with an increase in suitable habitats, although its expansion is more restricted compared to the other species. In contrast, T. bahiensis and T. trivittatus are expected to face a reduction in habitat suitability. These findings highlight that climate-driven habitat reduction may concentrate scorpion populations in densely populated areas, exacerbating public health risks. Therefore, targeted governmental interventions are crucial to mitigate the escalating threat posed by Tityus scorpions in urban settings under climate change scenarios.},
}
RevDate: 2025-03-20
Climate change news and doomscrolling: An examination of influencing factors and psychological effects.
Acta psychologica, 255:104925 pii:S0001-6918(25)00238-0 [Epub ahead of print].
INTRODUCTION: Climate change is one of the greatest threats to human life, and news about it can significantly impact mental health. Furthermore, doomscrolling, that is habitual negative consumption, may further exacerbate these effects. Understanding the associated risks and protective factors is crucial for supporting the most affected groups. However, no research has examined the relationship between doomscrolling and climate change news.
METHOD: We employed a cross-sectional design to investigate the relationship between general doomscrolling and climate change-specific doomscrolling in a sample of 365 participants. Furthermore, we examined the influence of demographic factors, risk factors (anxiety and depression), and protective factors (social support and coping skills) on both types of doomscrolling.
RESULTS: Analyses of the final sample revealed a significant positive correlation between general doomscrolling and climate change-specific doomscrolling. Additionally, the study suggests a gender difference, with females exhibiting a greater propensity for doomscrolling behavior. Risk factors for doomscrolling were explored, with both anxiety and depressive symptoms demonstrating positive associations. Depression correlated positively with doomscrolling for females, and it displayed a negative correlation for males. Anxiety consistently demonstrated a positive association with general and climate change-specific doomscrolling. Social support did not significantly protect against either form of doomscrolling. Conversely, the study identified coping skills as a potential protective factor, albeit with a modest effect size.
CONCLUSION: Given climate change's continued prominence within the news cycle, developing effective coping mechanisms becomes increasingly crucial. This study underscores the importance of designing interventions that empower individuals to navigate the negativity inherent in news consumption.
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@article {pmid40112762,
year = {2025},
author = {Dominguez-Rodriguez, A and Apprich, F and Friehs, MA and van der Graaf, S and Steinrücke, J},
title = {Climate change news and doomscrolling: An examination of influencing factors and psychological effects.},
journal = {Acta psychologica},
volume = {255},
number = {},
pages = {104925},
doi = {10.1016/j.actpsy.2025.104925},
pmid = {40112762},
issn = {1873-6297},
abstract = {INTRODUCTION: Climate change is one of the greatest threats to human life, and news about it can significantly impact mental health. Furthermore, doomscrolling, that is habitual negative consumption, may further exacerbate these effects. Understanding the associated risks and protective factors is crucial for supporting the most affected groups. However, no research has examined the relationship between doomscrolling and climate change news.
METHOD: We employed a cross-sectional design to investigate the relationship between general doomscrolling and climate change-specific doomscrolling in a sample of 365 participants. Furthermore, we examined the influence of demographic factors, risk factors (anxiety and depression), and protective factors (social support and coping skills) on both types of doomscrolling.
RESULTS: Analyses of the final sample revealed a significant positive correlation between general doomscrolling and climate change-specific doomscrolling. Additionally, the study suggests a gender difference, with females exhibiting a greater propensity for doomscrolling behavior. Risk factors for doomscrolling were explored, with both anxiety and depressive symptoms demonstrating positive associations. Depression correlated positively with doomscrolling for females, and it displayed a negative correlation for males. Anxiety consistently demonstrated a positive association with general and climate change-specific doomscrolling. Social support did not significantly protect against either form of doomscrolling. Conversely, the study identified coping skills as a potential protective factor, albeit with a modest effect size.
CONCLUSION: Given climate change's continued prominence within the news cycle, developing effective coping mechanisms becomes increasingly crucial. This study underscores the importance of designing interventions that empower individuals to navigate the negativity inherent in news consumption.},
}
RevDate: 2025-03-20
In-situ responses of temperate-zone bats to climate change.
Annals of the New York Academy of Sciences [Epub ahead of print].
There is growing evidence that human-induced climate change poses a major threat to bats. As climate change progresses, we can only hope to mitigate its negative effects on bat populations by gaining a more comprehensive understanding of the complex interactions of all the factors involved. Drawing on recent evidence, largely from long-term field studies of individually marked bats, we discuss the multiple impacts-positive and negative-of climate change on temperate heterothermic bats and their responses to climate change in situ. For example, there is increasing evidence that warmer summers and milder winters are leading to changes in the seasonal phenology of bats, which in turn may lead to species-specific changes in demography, morphology, physiology, food availability, and roost use. We also highlight open research questions on the responses of bats to climate change. This includes better data on population trends and the underlying direct and indirect climate-related causes for changes in mortality and reproductive success. In order to assess the long-term impacts of climate change on bats, more information is needed about the relative importance of phenotypic plasticity and evolutionary adaptation in the responses of bats to climate change.
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@article {pmid40112255,
year = {2025},
author = {Kerth, G and Wolf, JM},
title = {In-situ responses of temperate-zone bats to climate change.},
journal = {Annals of the New York Academy of Sciences},
volume = {},
number = {},
pages = {},
doi = {10.1111/nyas.15317},
pmid = {40112255},
issn = {1749-6632},
abstract = {There is growing evidence that human-induced climate change poses a major threat to bats. As climate change progresses, we can only hope to mitigate its negative effects on bat populations by gaining a more comprehensive understanding of the complex interactions of all the factors involved. Drawing on recent evidence, largely from long-term field studies of individually marked bats, we discuss the multiple impacts-positive and negative-of climate change on temperate heterothermic bats and their responses to climate change in situ. For example, there is increasing evidence that warmer summers and milder winters are leading to changes in the seasonal phenology of bats, which in turn may lead to species-specific changes in demography, morphology, physiology, food availability, and roost use. We also highlight open research questions on the responses of bats to climate change. This includes better data on population trends and the underlying direct and indirect climate-related causes for changes in mortality and reproductive success. In order to assess the long-term impacts of climate change on bats, more information is needed about the relative importance of phenotypic plasticity and evolutionary adaptation in the responses of bats to climate change.},
}
RevDate: 2025-03-20
The Semi-Natural Climate Chambers across Latitudes: A Broadly Applicable Husbandry and Experimental System for Terrestrial Ectotherms under Climate Change.
Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Epub ahead of print].
With limited resources and efforts, assessing species' vulnerabilities across various geographic regions before the conservation practice is essential for biodiversity conservation in the context of climate change. One pressing challenge has been establishing natural temperature-manipulated research systems across latitudes. To address this challenge, an innovative infrastructure is developed named the semi-natural climate chambers across latitudes (SCCAL), consisting of semi-natural climate chambers at three latitudes, spanning 27° and 3393 km from tropical to temperate regions. Each latitude features eight medium-sized patches for temperature manipulation, organisms rearing, and ecological experiments. Independent of external water and electricity supplies, the SCCAL allows to simulate thermal environments under different climate change scenarios with natural soil moisture. Ecological experiments with Grass lizards successfully are conducted, demonstrating that the SCCAL effectively supports species rearing, responses determining, and the vulnerability assessing. The widespread adoption or development of similar infrastructures is encouraged, which can facilitate the assessment of latitudinal animal vulnerabilities under climate change.
Additional Links: PMID-40112232
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@article {pmid40112232,
year = {2025},
author = {Sun, BJ and Lu, HL and Cheng, KM and Liu, WL and Han, XZ and Cui, LX and Li, XH and Li, SR and Hao, X and Li, F and Wu, DY and Li, T and Zhang, YP and Wang, JC and Liu, P and Du, WG},
title = {The Semi-Natural Climate Chambers across Latitudes: A Broadly Applicable Husbandry and Experimental System for Terrestrial Ectotherms under Climate Change.},
journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
volume = {},
number = {},
pages = {e2414185},
doi = {10.1002/advs.202414185},
pmid = {40112232},
issn = {2198-3844},
support = {2022YFF0802300//National Key Research Development Program of China/ ; 31720103904//National Natural Science Foundation of China/ ; 32271572//National Natural Science Foundation of China/ ; 32071511//National Natural Science Foundation of China/ ; ZDYF2023RDYL01//Hainan Province Science and Technology Special Fund/ ; KY-24ZK02//Hainan Institute of National Park/ ; 2024IOZ0107//Initiative Scientific Research Program, Institute of Zoology, CAS/ ; Y2023021//Youth Innovation Promotion Association of the Chinese Academy of Sciences/ ; },
abstract = {With limited resources and efforts, assessing species' vulnerabilities across various geographic regions before the conservation practice is essential for biodiversity conservation in the context of climate change. One pressing challenge has been establishing natural temperature-manipulated research systems across latitudes. To address this challenge, an innovative infrastructure is developed named the semi-natural climate chambers across latitudes (SCCAL), consisting of semi-natural climate chambers at three latitudes, spanning 27° and 3393 km from tropical to temperate regions. Each latitude features eight medium-sized patches for temperature manipulation, organisms rearing, and ecological experiments. Independent of external water and electricity supplies, the SCCAL allows to simulate thermal environments under different climate change scenarios with natural soil moisture. Ecological experiments with Grass lizards successfully are conducted, demonstrating that the SCCAL effectively supports species rearing, responses determining, and the vulnerability assessing. The widespread adoption or development of similar infrastructures is encouraged, which can facilitate the assessment of latitudinal animal vulnerabilities under climate change.},
}
RevDate: 2025-03-20
Minimizing the Effects of Surgical Care on Climate Change.
JAMA pii:2831842 [Epub ahead of print].
Additional Links: PMID-40111312
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@article {pmid40111312,
year = {2025},
author = {Levinson, W and Chang, I and Ward, S},
title = {Minimizing the Effects of Surgical Care on Climate Change.},
journal = {JAMA},
volume = {},
number = {},
pages = {},
doi = {10.1001/jama.2025.0883},
pmid = {40111312},
issn = {1538-3598},
}
RevDate: 2025-03-20
The spread of the invasive species Reynoutria japonica Houtt. will both expand and contract with climate change: results of climate modelling for 14 European countries.
Pest management science [Epub ahead of print].
BACKGROUND: The study of invasive plant species distribution involves changes in their ranges and ecological niches under the projected global temperature increase until 2100. However, climate modeling of habitat suitability for Reynoutria japonica in Europe remains limited, hindering risk assessment and effective management of its spread. We used the MaxEnt model to assess the potential distribution of R. japonica in 14 European countries.
RESULTS: It was found that the range of the taxon will expand into northern regions by 13.6% or 17.0%, depending on the scenario. However, range contraction in southern and central regions is expected to reach 26%. As a result, by 2100, a slight overall reduction in range (by 9-13%) is projected due to the decrease in distribution areas in southern parts of Europe, where maximum air temperatures will rise. Temperature variability throughout the year and precipitation during the warmest quarter are limiting factors for the spread. The minimum temperature of the growing season will influence distribution projections for 2060, whereas under current climate conditions, this parameter does not have a limiting effect. A general framework for controlling invasions of Reynoutria Houtt. taxa has been developed for both national and international levels.
CONCLUSION: The study identified the dynamics of the invasive species' spread in Europe in relation to global climate change, assessed the risks of colonization in new areas, and provided tools for regulation and management to improve the prediction of potential distribution. © 2025 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
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@article {pmid40110622,
year = {2025},
author = {Miroshnyk, N and Grabovska, T and Roubík, H},
title = {The spread of the invasive species Reynoutria japonica Houtt. will both expand and contract with climate change: results of climate modelling for 14 European countries.},
journal = {Pest management science},
volume = {},
number = {},
pages = {},
doi = {10.1002/ps.8732},
pmid = {40110622},
issn = {1526-4998},
support = {//The Research Institute for Sustainability (RIFS) Potsdam, Germany/ ; },
abstract = {BACKGROUND: The study of invasive plant species distribution involves changes in their ranges and ecological niches under the projected global temperature increase until 2100. However, climate modeling of habitat suitability for Reynoutria japonica in Europe remains limited, hindering risk assessment and effective management of its spread. We used the MaxEnt model to assess the potential distribution of R. japonica in 14 European countries.
RESULTS: It was found that the range of the taxon will expand into northern regions by 13.6% or 17.0%, depending on the scenario. However, range contraction in southern and central regions is expected to reach 26%. As a result, by 2100, a slight overall reduction in range (by 9-13%) is projected due to the decrease in distribution areas in southern parts of Europe, where maximum air temperatures will rise. Temperature variability throughout the year and precipitation during the warmest quarter are limiting factors for the spread. The minimum temperature of the growing season will influence distribution projections for 2060, whereas under current climate conditions, this parameter does not have a limiting effect. A general framework for controlling invasions of Reynoutria Houtt. taxa has been developed for both national and international levels.
CONCLUSION: The study identified the dynamics of the invasive species' spread in Europe in relation to global climate change, assessed the risks of colonization in new areas, and provided tools for regulation and management to improve the prediction of potential distribution. © 2025 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.},
}
RevDate: 2025-03-20
Impact of Climate Change on Health and Drug Demand.
Rand health quarterly, 12(2):13.
It is anticipated that extreme weather events due to climate change will increase the prevalence of a number of acute and chronic diseases. As a result, the demand for drugs to prevent or treat those conditions is likely to increase. If the anticipated increase in demand for these drugs is not planned for, already strained medical supply chains will be further strained, resulting in poor health outcomes among affected patient populations and additional costs to health systems. The authors of this study estimated how the anticipated effects of climate change on the prevalence of a sample of four chronic conditions-cardiovascular disease (CVD), asthma, end-stage renal disease (ESRD), and Alzheimer's disease-will affect demand for the drugs needed to treat them (metoprolol, albuterol, heparin, and donepezil, respectively). To generate these estimates, the authors conducted an environmental scan of the peer-reviewed and gray literature and developed a medical condition-specific systems dynamics model. The model can help inform policies for ensuring drug supply under various climate scenarios.
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@article {pmid40109392,
year = {2025},
author = {Abir, M and Vardavas, R and Tariq, ZH and Hoch, E and Lawson, E and Cortner, S},
title = {Impact of Climate Change on Health and Drug Demand.},
journal = {Rand health quarterly},
volume = {12},
number = {2},
pages = {13},
pmid = {40109392},
issn = {2162-8254},
abstract = {It is anticipated that extreme weather events due to climate change will increase the prevalence of a number of acute and chronic diseases. As a result, the demand for drugs to prevent or treat those conditions is likely to increase. If the anticipated increase in demand for these drugs is not planned for, already strained medical supply chains will be further strained, resulting in poor health outcomes among affected patient populations and additional costs to health systems. The authors of this study estimated how the anticipated effects of climate change on the prevalence of a sample of four chronic conditions-cardiovascular disease (CVD), asthma, end-stage renal disease (ESRD), and Alzheimer's disease-will affect demand for the drugs needed to treat them (metoprolol, albuterol, heparin, and donepezil, respectively). To generate these estimates, the authors conducted an environmental scan of the peer-reviewed and gray literature and developed a medical condition-specific systems dynamics model. The model can help inform policies for ensuring drug supply under various climate scenarios.},
}
RevDate: 2025-03-20
Valence fragmentation dynamics of a promising low global warming etching gas CF3CHCF2.
Scientific reports, 15(1):9507 pii:10.1038/s41598-025-94119-6.
C3HF5 (CF3CHCF2, KSG14), a promising low global warming potential (GWP < 1) alternative to traditional perfluorocarbon etching gases for advanced integrated circuit manufacturing, particularly for high-aspect-ratio SiO2/SiN stacked layers in 3D flash memory. This study investigates the dissociative photoionization dynamics of C3HF5 across 10.0-26.0 eV. Ion yield curves and breakdown diagrams reveal that C3HF5 primarily fragments into C3HF5[+], C3F5[+], C3HF4[+], C3F4[+], C2F3[+], and CF3[+] ions. Appearance Energies of these fragments, determined from the ion yield curves, indicate fragmentation pathways at low electronic transitions. These findings underscore C3HF5's potential as an environmentally friendly etching gas with excellent performance characteristics.
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@article {pmid40108348,
year = {2025},
author = {Nguyen, TT and Hayashi, T and Iwayama, H and Ishikawa, K},
title = {Valence fragmentation dynamics of a promising low global warming etching gas CF3CHCF2.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {9507},
doi = {10.1038/s41598-025-94119-6},
pmid = {40108348},
issn = {2045-2322},
support = {21H01073//JSPS-KAKENHI/ ; 21H01073//JSPS-KAKENHI/ ; JPMJAP2321//JST ASPIRE/ ; JPMJAP2321//JST ASPIRE/ ; },
abstract = {C3HF5 (CF3CHCF2, KSG14), a promising low global warming potential (GWP < 1) alternative to traditional perfluorocarbon etching gases for advanced integrated circuit manufacturing, particularly for high-aspect-ratio SiO2/SiN stacked layers in 3D flash memory. This study investigates the dissociative photoionization dynamics of C3HF5 across 10.0-26.0 eV. Ion yield curves and breakdown diagrams reveal that C3HF5 primarily fragments into C3HF5[+], C3F5[+], C3HF4[+], C3F4[+], C2F3[+], and CF3[+] ions. Appearance Energies of these fragments, determined from the ion yield curves, indicate fragmentation pathways at low electronic transitions. These findings underscore C3HF5's potential as an environmentally friendly etching gas with excellent performance characteristics.},
}
RevDate: 2025-03-19
Sustainable tourism for climate change and environmental sustainability in Tunisia: Evidence from a novel measure, nonlinear modeling, and wavelet coherence.
Journal of environmental management, 380:124991 pii:S0301-4797(25)00967-3 [Epub ahead of print].
This study examines the asymmetric impact of international tourism on CO2 emissions and environmental sustainability in Tunisia. Using the Nonlinear Autoregressive Distributed Lag (NARDL) model within a Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) framework, we construct a composite index via Principal Component Analysis (PCA). Robustness checks include Fully Modified Ordinary Least Squares (FMOLS), Bias-corrected Wavelet coherence, and asymmetric causality analysis through Vector Autoregression (VAR). Findings reveal that tourism traffic asymmetrically affects environmental sustainability, except for carbon emissions, even under nonlinear Granger causality analysis. Trade openness also exerts asymmetric effects, supporting the Pollution Haven hypothesis. Policy recommendations highlight the need for smart strategies such as mobile applications and taxation to track tourism-related carbon footprints, foster youth-led tourism businesses, address brain drain, and advance a circular economy. Sustainable tourism, alongside key structural factors, plays a vital role in shaping long-term environmental quality. Strategic agricultural development, improved governance, and the efficient use of renewable energy are crucial. Enhancing energy security, reducing fossil fuel dependence, and promoting green technology investments are necessary steps. This study contributes uniquely by compiling and updating a dataset based on six environmental criteria-air quality, energy management, biodiversity, health, population pressure, and water resources-while employing advanced econometric techniques.
Additional Links: PMID-40106997
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@article {pmid40106997,
year = {2025},
author = {Trabelsi, E},
title = {Sustainable tourism for climate change and environmental sustainability in Tunisia: Evidence from a novel measure, nonlinear modeling, and wavelet coherence.},
journal = {Journal of environmental management},
volume = {380},
number = {},
pages = {124991},
doi = {10.1016/j.jenvman.2025.124991},
pmid = {40106997},
issn = {1095-8630},
abstract = {This study examines the asymmetric impact of international tourism on CO2 emissions and environmental sustainability in Tunisia. Using the Nonlinear Autoregressive Distributed Lag (NARDL) model within a Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) framework, we construct a composite index via Principal Component Analysis (PCA). Robustness checks include Fully Modified Ordinary Least Squares (FMOLS), Bias-corrected Wavelet coherence, and asymmetric causality analysis through Vector Autoregression (VAR). Findings reveal that tourism traffic asymmetrically affects environmental sustainability, except for carbon emissions, even under nonlinear Granger causality analysis. Trade openness also exerts asymmetric effects, supporting the Pollution Haven hypothesis. Policy recommendations highlight the need for smart strategies such as mobile applications and taxation to track tourism-related carbon footprints, foster youth-led tourism businesses, address brain drain, and advance a circular economy. Sustainable tourism, alongside key structural factors, plays a vital role in shaping long-term environmental quality. Strategic agricultural development, improved governance, and the efficient use of renewable energy are crucial. Enhancing energy security, reducing fossil fuel dependence, and promoting green technology investments are necessary steps. This study contributes uniquely by compiling and updating a dataset based on six environmental criteria-air quality, energy management, biodiversity, health, population pressure, and water resources-while employing advanced econometric techniques.},
}
RevDate: 2025-03-19
CmpDate: 2025-03-19
Incremental and transformational climate change adaptation factors in agriculture worldwide: A comparative analysis using natural language processing.
PloS one, 20(3):e0318784.
Climate change is projected to adversely affect agriculture worldwide. This requires farmers to adapt incrementally already early in the twenty-first century, and to pursue transformational adaptation to endure future climate-induced damages. Many articles discuss the underlying mechanisms of farmers' adaptation to climate change using quantitative, qualitative, and mixed methods. However, only the former is typically included in quantitative metanalysis of empirical evidence on adaptation. This omits the vast body of knowledge from qualitative research. We address this gap by performing a comparative analysis of factors associated with farmers' climate change adaptation in both quantitative and qualitative literature using Natural Language Processing and generalized linear models. By retrieving publications from Scopus, we derive a database with metadata and associations from both quantitative and qualitative findings, focusing on climate change adaptation of farmers. We use the derived data as input for generalized linear models to analyze whether reported factors behind farmers' decisions differ by type of adaptation (incremental vs. transformational) and across different global regions. Our results show that factors related to adaptive capacity and access to information and technology are more likely to be associated with transformational adaptation than with incremental adaptation. Regarding world regions, access to finance/income and infrastructure are uneven, with farmers in high-income countries having an advantage, whereas farmers in low- and middle-income countries require these the most for effective adaptation to climate change.
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@article {pmid40106459,
year = {2025},
author = {Gil-Clavel, S and Wagenblast, T and Filatova, T},
title = {Incremental and transformational climate change adaptation factors in agriculture worldwide: A comparative analysis using natural language processing.},
journal = {PloS one},
volume = {20},
number = {3},
pages = {e0318784},
pmid = {40106459},
issn = {1932-6203},
mesh = {*Climate Change ; *Agriculture ; Humans ; *Natural Language Processing ; Farmers/psychology ; },
abstract = {Climate change is projected to adversely affect agriculture worldwide. This requires farmers to adapt incrementally already early in the twenty-first century, and to pursue transformational adaptation to endure future climate-induced damages. Many articles discuss the underlying mechanisms of farmers' adaptation to climate change using quantitative, qualitative, and mixed methods. However, only the former is typically included in quantitative metanalysis of empirical evidence on adaptation. This omits the vast body of knowledge from qualitative research. We address this gap by performing a comparative analysis of factors associated with farmers' climate change adaptation in both quantitative and qualitative literature using Natural Language Processing and generalized linear models. By retrieving publications from Scopus, we derive a database with metadata and associations from both quantitative and qualitative findings, focusing on climate change adaptation of farmers. We use the derived data as input for generalized linear models to analyze whether reported factors behind farmers' decisions differ by type of adaptation (incremental vs. transformational) and across different global regions. Our results show that factors related to adaptive capacity and access to information and technology are more likely to be associated with transformational adaptation than with incremental adaptation. Regarding world regions, access to finance/income and infrastructure are uneven, with farmers in high-income countries having an advantage, whereas farmers in low- and middle-income countries require these the most for effective adaptation to climate change.},
}
MeSH Terms:
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*Climate Change
*Agriculture
Humans
*Natural Language Processing
Farmers/psychology
RevDate: 2025-03-19
CmpDate: 2025-03-19
Modelling the potential impact of climate change on the productivity of soybean in the Nigeria Savannas.
PloS one, 20(3):e0313786.
A well-calibrated and evaluated GROPGRO module of the Decision Support System for Agro-technological Transfer (DSSAT) was used to simulate productivity of soybean in northern Nigeria under climate change. Both historical (1990-2019) and projected climate scenarios from 5 general circulation models (GCMs) under two representative concentration pathways (RCP 4.5 and RCP 8.5) in the mid-century (2040-2069) and end of the century (2070-2099) periods were used. Depending on climate scenario, the minimum temperature is expected to rise by 1.7-4.4oC at Kano in the Sudan savanna (SS) agroecological zone (AEZ) and 1.4-4.0oC at Zaria in the northern Guinea savanna (NGS) AEZ, while maximum temperatures are projected to increase by 1.7-4.1oC in the SS and 1.3-3.6oC in the NGS. Seasonal average rainfall will increase by 4.8-14.5% in the SS and decrease by 2.6-3.8% in the NGS, relative to the baseline climate. The model predicted delaying trends for days to flowering and maturity for both varieties in all climate scenarios in the two AEZs. Despite the delay in flowering and increase in crop cycle length, climate change will result in grain yield reduction in most of the future scenarios. Across location, variety and time slice, the grain yield will decline by between 8.4 and 23.6% under RCP4.5 scenario, with much higher decline by between 28.7 and 51.4% under RCP 8.5 scenario. However, using the early maturing variety can reduce the adverse effects of climate change on grain yield. On average, the yield of the early-maturing TGX1835-10E is predicted to be 15.2% higher under RCP4.5 scenario and up to 21.7% under RCP8.5 than that of the medium-maturing TGX1951-3F for both centuries in the SS AEZ. In the NGS, the average yield of TGX1835-10E is predicted to be 9.0% and 7.5% higher than that of TGX1951-3F under RCP4.5 and RCP8.5 scenarios, respectively. Using early-maturing soybean varieties is a key management strategy to boost the resilience of soybean production in Nigeria's savannas under climate change conditions.
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@article {pmid40106423,
year = {2025},
author = {Bebeley, JF and Tofa, AI and Kamara, AY and Jibrin, JM and Solomon, R and Adeleke, MA and Omoigui, LO and Eseigbe, OB and Peter-Jerome, H and Ademulegun, TD},
title = {Modelling the potential impact of climate change on the productivity of soybean in the Nigeria Savannas.},
journal = {PloS one},
volume = {20},
number = {3},
pages = {e0313786},
pmid = {40106423},
issn = {1932-6203},
mesh = {*Climate Change ; *Glycine max/growth & development ; Nigeria ; Grassland ; Temperature ; Seasons ; Crops, Agricultural/growth & development ; Rain ; },
abstract = {A well-calibrated and evaluated GROPGRO module of the Decision Support System for Agro-technological Transfer (DSSAT) was used to simulate productivity of soybean in northern Nigeria under climate change. Both historical (1990-2019) and projected climate scenarios from 5 general circulation models (GCMs) under two representative concentration pathways (RCP 4.5 and RCP 8.5) in the mid-century (2040-2069) and end of the century (2070-2099) periods were used. Depending on climate scenario, the minimum temperature is expected to rise by 1.7-4.4oC at Kano in the Sudan savanna (SS) agroecological zone (AEZ) and 1.4-4.0oC at Zaria in the northern Guinea savanna (NGS) AEZ, while maximum temperatures are projected to increase by 1.7-4.1oC in the SS and 1.3-3.6oC in the NGS. Seasonal average rainfall will increase by 4.8-14.5% in the SS and decrease by 2.6-3.8% in the NGS, relative to the baseline climate. The model predicted delaying trends for days to flowering and maturity for both varieties in all climate scenarios in the two AEZs. Despite the delay in flowering and increase in crop cycle length, climate change will result in grain yield reduction in most of the future scenarios. Across location, variety and time slice, the grain yield will decline by between 8.4 and 23.6% under RCP4.5 scenario, with much higher decline by between 28.7 and 51.4% under RCP 8.5 scenario. However, using the early maturing variety can reduce the adverse effects of climate change on grain yield. On average, the yield of the early-maturing TGX1835-10E is predicted to be 15.2% higher under RCP4.5 scenario and up to 21.7% under RCP8.5 than that of the medium-maturing TGX1951-3F for both centuries in the SS AEZ. In the NGS, the average yield of TGX1835-10E is predicted to be 9.0% and 7.5% higher than that of TGX1951-3F under RCP4.5 and RCP8.5 scenarios, respectively. Using early-maturing soybean varieties is a key management strategy to boost the resilience of soybean production in Nigeria's savannas under climate change conditions.},
}
MeSH Terms:
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*Climate Change
*Glycine max/growth & development
Nigeria
Grassland
Temperature
Seasons
Crops, Agricultural/growth & development
Rain
RevDate: 2025-03-19
Impact of climate change on winter occupations in Minnesota.
BackgroundClimate change impacts everyone, but the warmer and snow starved winter of 2023-2024 in Minnesota has had devastating impacts on people all over the state. It severely limited participation in typical winter outdoor recreational and leisure activities and resulted in unemployment or underemployment of thousands of Minnesotans.ObjectiveThe aim of this article is to draw attention to the direct impact climate change has on human occupations and suggest ways that occupational therapy practitioners and others can contribute to efforts to mitigate the effects of climate change.MethodsThe author reviewed of publicly available data, news stories, and had conversations with people directly affected by the winter that was unusually warm and dry. This information was then synthesized into this article.ResultsIn Minnesota, the climate in winters is changing faster than in summers. The lack of snow and ice, directly resulted in unemployment or underemployment of thousands of Minnesotans. It cost businesses, clubs, and communities untold dollars in lost revenue. Further, thousands of Minnesotans lost opportunities to ski, skate, snowmobile, ice fish, snowshoe, dogsled, and engage in many other outdoor activities.ConclusionEngagement in outdoor activities is an important part of life in Minnesota. When climate change interferes with these outdoor activities, it is cause for concern. It impacts paid work, volunteer work, recreation, and leisure. This is of particular concern to occupational therapy practitioners. More must be done to reduce the human causes of climate change.
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@article {pmid40104966,
year = {2025},
author = {Sames, KM},
title = {Impact of climate change on winter occupations in Minnesota.},
journal = {Work (Reading, Mass.)},
volume = {},
number = {},
pages = {10519815251319223},
doi = {10.1177/10519815251319223},
pmid = {40104966},
issn = {1875-9270},
abstract = {BackgroundClimate change impacts everyone, but the warmer and snow starved winter of 2023-2024 in Minnesota has had devastating impacts on people all over the state. It severely limited participation in typical winter outdoor recreational and leisure activities and resulted in unemployment or underemployment of thousands of Minnesotans.ObjectiveThe aim of this article is to draw attention to the direct impact climate change has on human occupations and suggest ways that occupational therapy practitioners and others can contribute to efforts to mitigate the effects of climate change.MethodsThe author reviewed of publicly available data, news stories, and had conversations with people directly affected by the winter that was unusually warm and dry. This information was then synthesized into this article.ResultsIn Minnesota, the climate in winters is changing faster than in summers. The lack of snow and ice, directly resulted in unemployment or underemployment of thousands of Minnesotans. It cost businesses, clubs, and communities untold dollars in lost revenue. Further, thousands of Minnesotans lost opportunities to ski, skate, snowmobile, ice fish, snowshoe, dogsled, and engage in many other outdoor activities.ConclusionEngagement in outdoor activities is an important part of life in Minnesota. When climate change interferes with these outdoor activities, it is cause for concern. It impacts paid work, volunteer work, recreation, and leisure. This is of particular concern to occupational therapy practitioners. More must be done to reduce the human causes of climate change.},
}
RevDate: 2025-03-19
Author Correction: Real-world time-travel experiment shows ecosystem collapse due to anthropogenic climate change.
Nature communications, 16(1):2661 pii:10.1038/s41467-025-57833-3.
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@article {pmid40102427,
year = {2025},
author = {Li, G and Törnqvist, TE and Dangendorf, S},
title = {Author Correction: Real-world time-travel experiment shows ecosystem collapse due to anthropogenic climate change.},
journal = {Nature communications},
volume = {16},
number = {1},
pages = {2661},
doi = {10.1038/s41467-025-57833-3},
pmid = {40102427},
issn = {2041-1723},
}
RevDate: 2025-03-18
CmpDate: 2025-03-18
The impact of climate change on child nutrition in Indonesia: a conceptual framework and scoping review of the available evidence.
BMJ paediatrics open, 9(1): pii:10.1136/bmjpo-2024-002980.
BACKGROUND: Climate change is expected to significantly impact child nutrition, worsening global health inequities. Indonesia, a country highly vulnerable to climate change, also faces substantial child malnutrition challenges. However, comprehensive knowledge on climate change's impacts on child nutrition in Indonesia is limited. This study addresses this gap through a scoping review of the scientific evidence on the effects of climate change on child nutrition in Indonesia.
METHODS: We developed a conceptual framework based on global literature to guide our systematic search, linking climate change to child nutrition and its determinants in Indonesia. Systematic searches were conducted in English and Indonesian on Scopus, Web of Science and PubMed, supplemented by Google Scholar and citation screening. We included peer-reviewed, Scopus-indexed studies focused on Indonesia, examining either direct or indirect impacts of climate change on child nutrition. A narrative synthesis was performed, structured around outcomes identified in our framework: (1) nutrition-associated conditions, (2) diets and disease, (3) social dynamics and (4) food system shocks.
RESULTS: From 3025 records, 134 studies met the inclusion criteria. Studies were either multicountry including Indonesia (23%, n=31), Indonesia-specific across multiple regions (26%, n=35) or region-specific, mainly focused on Java (22%, n=29), Sumatra (11%, n=14), Kalimantan (7%, n=9) and Sulawesi (7%, n=9). Other regions were under-represented (5%, n=7). Most studies used quantitative methods (87%, n=116). Few studies assessed direct links between climate change and nutritional outcomes (n=5), food security or dietary quality (n=7); more focused on indirect pathways such as disease (n=49), social dynamics (n=18) and food system disruptions (n=55).
CONCLUSIONS: Evidence suggests significant impacts of climate change on child nutrition in Indonesia, highlighting the need for urgent action. Further localised studies that consider contextual factors, and actions focused on strengthening health and nutrition systems, are critical, especially in regions most vulnerable to both climate change and child malnutrition.
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@article {pmid40102021,
year = {2025},
author = {Colozza, D and Guo, I and Sukotjo, SW and Padmita, AC and Galera, RG and Sulastri, E and Wikanestri, I and Ndiaye, M},
title = {The impact of climate change on child nutrition in Indonesia: a conceptual framework and scoping review of the available evidence.},
journal = {BMJ paediatrics open},
volume = {9},
number = {1},
pages = {},
doi = {10.1136/bmjpo-2024-002980},
pmid = {40102021},
issn = {2399-9772},
mesh = {Humans ; Indonesia ; *Climate Change ; *Child Nutrition Disorders/epidemiology ; Child ; Child, Preschool ; Nutritional Status ; },
abstract = {BACKGROUND: Climate change is expected to significantly impact child nutrition, worsening global health inequities. Indonesia, a country highly vulnerable to climate change, also faces substantial child malnutrition challenges. However, comprehensive knowledge on climate change's impacts on child nutrition in Indonesia is limited. This study addresses this gap through a scoping review of the scientific evidence on the effects of climate change on child nutrition in Indonesia.
METHODS: We developed a conceptual framework based on global literature to guide our systematic search, linking climate change to child nutrition and its determinants in Indonesia. Systematic searches were conducted in English and Indonesian on Scopus, Web of Science and PubMed, supplemented by Google Scholar and citation screening. We included peer-reviewed, Scopus-indexed studies focused on Indonesia, examining either direct or indirect impacts of climate change on child nutrition. A narrative synthesis was performed, structured around outcomes identified in our framework: (1) nutrition-associated conditions, (2) diets and disease, (3) social dynamics and (4) food system shocks.
RESULTS: From 3025 records, 134 studies met the inclusion criteria. Studies were either multicountry including Indonesia (23%, n=31), Indonesia-specific across multiple regions (26%, n=35) or region-specific, mainly focused on Java (22%, n=29), Sumatra (11%, n=14), Kalimantan (7%, n=9) and Sulawesi (7%, n=9). Other regions were under-represented (5%, n=7). Most studies used quantitative methods (87%, n=116). Few studies assessed direct links between climate change and nutritional outcomes (n=5), food security or dietary quality (n=7); more focused on indirect pathways such as disease (n=49), social dynamics (n=18) and food system disruptions (n=55).
CONCLUSIONS: Evidence suggests significant impacts of climate change on child nutrition in Indonesia, highlighting the need for urgent action. Further localised studies that consider contextual factors, and actions focused on strengthening health and nutrition systems, are critical, especially in regions most vulnerable to both climate change and child malnutrition.},
}
MeSH Terms:
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Humans
Indonesia
*Climate Change
*Child Nutrition Disorders/epidemiology
Child
Child, Preschool
Nutritional Status
RevDate: 2025-03-18
Quantifying the influence of climate change on pesticide risks in drinking water.
The Science of the total environment, 972:179090 pii:S0048-9697(25)00725-9 [Epub ahead of print].
Climate change can influence pesticide contamination and resulting human health risks due by altering weather conditions that drive pesticide fate and transport. However limited research has examined these effects, leaving regulatory frameworks and adaptation strategies unable to address future pesticide risks. This study develops a novel probabilistic model to quantify climate change impacts on pesticide-related human health risks under two different climate scenarios, using study locations in the north-east and south-west of Ireland. Results indicate that pesticide concentrations in drinking water are projected to exceed legal limits more frequently, and by greater amounts, under all climate scenarios, with associated health risks increasing by an average of 18 % under RCP 4.5 (2050) and 38 % under RCP8.5 (2100). The model results also indicate significant regional variation in health risk, with risk 48 % higher in the south-west than the north-east under baseline conditions. Climate change effects intensify these regional variances with risk up to 70 % higher under RCP4.5 (2050), and 85 % higher under RCP8.5 (2100). Despite these increases, overall pesticide human health risks are likely to remain low in Ireland under future climates. This study presents a probabilistic framework that may be applied internationally to quantify the impact of climate change on human health risk at a local-scale and may be adapted for different site conditions and climate projections to suit users' needs. This approach can inform future pesticide management programmes by identifying vulnerable areas and key pesticides under changing climate conditions, emphasizing the importance of incorporating climate change into pesticide risk mitigation and public health strategies.
Additional Links: PMID-40101618
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PubMed:
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@article {pmid40101618,
year = {2025},
author = {Harmon O'Driscoll, J and Healy, MG and Siggins, A and McGinley, J and O'Brien, E and Wang, J and Holloway, P and Mellander, PE and Morrison, L and Scannell, S and Ryan, PC},
title = {Quantifying the influence of climate change on pesticide risks in drinking water.},
journal = {The Science of the total environment},
volume = {972},
number = {},
pages = {179090},
doi = {10.1016/j.scitotenv.2025.179090},
pmid = {40101618},
issn = {1879-1026},
abstract = {Climate change can influence pesticide contamination and resulting human health risks due by altering weather conditions that drive pesticide fate and transport. However limited research has examined these effects, leaving regulatory frameworks and adaptation strategies unable to address future pesticide risks. This study develops a novel probabilistic model to quantify climate change impacts on pesticide-related human health risks under two different climate scenarios, using study locations in the north-east and south-west of Ireland. Results indicate that pesticide concentrations in drinking water are projected to exceed legal limits more frequently, and by greater amounts, under all climate scenarios, with associated health risks increasing by an average of 18 % under RCP 4.5 (2050) and 38 % under RCP8.5 (2100). The model results also indicate significant regional variation in health risk, with risk 48 % higher in the south-west than the north-east under baseline conditions. Climate change effects intensify these regional variances with risk up to 70 % higher under RCP4.5 (2050), and 85 % higher under RCP8.5 (2100). Despite these increases, overall pesticide human health risks are likely to remain low in Ireland under future climates. This study presents a probabilistic framework that may be applied internationally to quantify the impact of climate change on human health risk at a local-scale and may be adapted for different site conditions and climate projections to suit users' needs. This approach can inform future pesticide management programmes by identifying vulnerable areas and key pesticides under changing climate conditions, emphasizing the importance of incorporating climate change into pesticide risk mitigation and public health strategies.},
}
RevDate: 2025-03-18
The cost of flooding on housing under climate change in the Philippines: Examining projected damage at the local scale.
Journal of environmental management, 380:124966 pii:S0301-4797(25)00942-9 [Epub ahead of print].
While the Philippines has made significant strides in proactive disaster risk reduction measures, current planning actions are undertaken primarily based on historical flood risk. There are gaps in understanding how the escalating impacts of climate change will alter flood dynamics. This study examines shifting local flood risk patterns in the Municipality of Carigara in Leyte. We quantify probabilistic flood damage on residential structures for early, mid-, and late-term flood scenarios under RCP4.5 and RCP8.5 pathways. By utilising localised housing vulnerability functions, we assess risk trends at a household level, considering concrete, light material, and elevated light material housing typologies. Our results indicate a 3 % decrease in future flood damages to residential structures under RCP 4.5 and a 34 % decrease in damages under RCP 8.5 by 2100 attributable to climate change for 100-year flood events. These shifts highlight the nuances of regional changes in flood damages over the next century. The findings provide insights into how localised climate-risk assessments for municipalities might be established as entry points to inform climate change policies and projects. Through established mechanisms such as Local Disaster Risk Reduction Management Funds (LDRRMF) in the Philippines, we propose methods of climate-informed decision-making for local government units to minimise damage for future climate scenarios.
Additional Links: PMID-40101495
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PubMed:
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@article {pmid40101495,
year = {2025},
author = {Besarra, I and Opdyke, A and Mendoza, JE and Delmendo, PA and Santiago, J and Evangelista, DJ and Francisco A Lagmay, AM},
title = {The cost of flooding on housing under climate change in the Philippines: Examining projected damage at the local scale.},
journal = {Journal of environmental management},
volume = {380},
number = {},
pages = {124966},
doi = {10.1016/j.jenvman.2025.124966},
pmid = {40101495},
issn = {1095-8630},
abstract = {While the Philippines has made significant strides in proactive disaster risk reduction measures, current planning actions are undertaken primarily based on historical flood risk. There are gaps in understanding how the escalating impacts of climate change will alter flood dynamics. This study examines shifting local flood risk patterns in the Municipality of Carigara in Leyte. We quantify probabilistic flood damage on residential structures for early, mid-, and late-term flood scenarios under RCP4.5 and RCP8.5 pathways. By utilising localised housing vulnerability functions, we assess risk trends at a household level, considering concrete, light material, and elevated light material housing typologies. Our results indicate a 3 % decrease in future flood damages to residential structures under RCP 4.5 and a 34 % decrease in damages under RCP 8.5 by 2100 attributable to climate change for 100-year flood events. These shifts highlight the nuances of regional changes in flood damages over the next century. The findings provide insights into how localised climate-risk assessments for municipalities might be established as entry points to inform climate change policies and projects. Through established mechanisms such as Local Disaster Risk Reduction Management Funds (LDRRMF) in the Philippines, we propose methods of climate-informed decision-making for local government units to minimise damage for future climate scenarios.},
}
RevDate: 2025-03-18
Synergistic policy effects of digitization in reducing air pollution and addressing climate change in China.
Journal of environmental management, 380:124730 pii:S0301-4797(25)00706-6 [Epub ahead of print].
Given the increasing constraints of climate change and air pollution on economic growth, constructing a comprehensive policy system that promotes the coordinated development of pollution reduction, carbon mitigation, and economic growth has become the key to resolving current contradictions. However, the synergistic effects of the policy combination between digitalization, pollution reduction and carbon mitigation remain insufficiently evaluated. Based on panel data from 239 Chinese cities spanning 2014 to 2024, this study employs a fixed effects model to comprehensively analyze the effects of atmospheric, climate, and digital policy combinations from multiple perspectives. The results indicate that the synergistic effects of policy combinations surpass those of single policies. In the case of single policies, they demonstrate synergy while effectively achieving policy goals. Regarding policy interactions, the interplay between two policies entails both complementary and substitution effects. When considering policy combinations, an appropriate number of policies can maximize the overall policy effect, while excessive combinations may trigger substitution effects between policies. From the perspective of policy actors, collaborative efforts among policy actors strengthen the synergistic effects of policies, though an increasing number of policy actors does not necessarily enhance the synergy. This study provides theoretical references for designing collaborative policy mechanisms and establishing a collaborative development policy network system.
Additional Links: PMID-40101489
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@article {pmid40101489,
year = {2025},
author = {Chen, W and Hu, S and Liu, Y},
title = {Synergistic policy effects of digitization in reducing air pollution and addressing climate change in China.},
journal = {Journal of environmental management},
volume = {380},
number = {},
pages = {124730},
doi = {10.1016/j.jenvman.2025.124730},
pmid = {40101489},
issn = {1095-8630},
abstract = {Given the increasing constraints of climate change and air pollution on economic growth, constructing a comprehensive policy system that promotes the coordinated development of pollution reduction, carbon mitigation, and economic growth has become the key to resolving current contradictions. However, the synergistic effects of the policy combination between digitalization, pollution reduction and carbon mitigation remain insufficiently evaluated. Based on panel data from 239 Chinese cities spanning 2014 to 2024, this study employs a fixed effects model to comprehensively analyze the effects of atmospheric, climate, and digital policy combinations from multiple perspectives. The results indicate that the synergistic effects of policy combinations surpass those of single policies. In the case of single policies, they demonstrate synergy while effectively achieving policy goals. Regarding policy interactions, the interplay between two policies entails both complementary and substitution effects. When considering policy combinations, an appropriate number of policies can maximize the overall policy effect, while excessive combinations may trigger substitution effects between policies. From the perspective of policy actors, collaborative efforts among policy actors strengthen the synergistic effects of policies, though an increasing number of policy actors does not necessarily enhance the synergy. This study provides theoretical references for designing collaborative policy mechanisms and establishing a collaborative development policy network system.},
}
RevDate: 2025-03-18
Climate change influences on vegetation photosynthesis in the Northern Hemisphere.
Journal of environmental management, 380:124976 pii:S0301-4797(25)00952-1 [Epub ahead of print].
Changes in ecosystem productivity affect terrestrial carbon sequestration. In previous research on the effects of climate change, it has been determined that prolonged growing season length (LOS) increases vegetation productivity in ecosystems. In addition to the duration of vegetation growth, the intensity of photosynthesis is another factor influencing the annual accumulated vegetation productivity. Nevertheless, the impact of climate change on productivity through photosynthetic intensity of vegetation remains uncertain. Here, we utilized the photosynthetic phenology extracted from solar-induced chlorophyll fluorescence (SIF) to investigate the influence of climate change on the annual peak value of vegetation photosynthesis (SIFmax), as well as the contribution of SIFmax to annual accumulated gross primary productivity (GPPann) in the Northern Hemisphere (>30° N). Furthermore, the influence of changes in LOS and SIFmax on GPPann were compared. The results showed that vegetation SIFmax increased in 73.0% of the areas, and that different climatic factors (radiation, precipitation and temperature), and the advanced start of the growing season (SOS) contributed to an increase in SIFmax. GPPann was more sensitive to the peak of photosynthesis than LOS, with SIFmax being the dominant factor affecting GPPann in 39.9% of the study area, compared to 13.7% of the area dominated by LOS. Our results demonstrated that climate change increases GPPann primarily by increasing SIFmax rather than by extending LOS. While temperature was the largest contributor to GPPann among all climate factors, precipitation and radiation can also have an obvious effect on GPPann through SIFmax. Our study highlights the important mediating role of peak photosynthesis in the influence of climatic factors on the annual accumulated productivity of vegetation. The results provide implications for understanding the characteristics of vegetation response to climate change, and for the development of ecosystem restoration and carbon management strategies.
Additional Links: PMID-40101480
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@article {pmid40101480,
year = {2025},
author = {Li, H and Zhang, H and Feng, Z and Zhao, J and Chen, H and Guo, X and Wang, T and Liu, Y},
title = {Climate change influences on vegetation photosynthesis in the Northern Hemisphere.},
journal = {Journal of environmental management},
volume = {380},
number = {},
pages = {124976},
doi = {10.1016/j.jenvman.2025.124976},
pmid = {40101480},
issn = {1095-8630},
abstract = {Changes in ecosystem productivity affect terrestrial carbon sequestration. In previous research on the effects of climate change, it has been determined that prolonged growing season length (LOS) increases vegetation productivity in ecosystems. In addition to the duration of vegetation growth, the intensity of photosynthesis is another factor influencing the annual accumulated vegetation productivity. Nevertheless, the impact of climate change on productivity through photosynthetic intensity of vegetation remains uncertain. Here, we utilized the photosynthetic phenology extracted from solar-induced chlorophyll fluorescence (SIF) to investigate the influence of climate change on the annual peak value of vegetation photosynthesis (SIFmax), as well as the contribution of SIFmax to annual accumulated gross primary productivity (GPPann) in the Northern Hemisphere (>30° N). Furthermore, the influence of changes in LOS and SIFmax on GPPann were compared. The results showed that vegetation SIFmax increased in 73.0% of the areas, and that different climatic factors (radiation, precipitation and temperature), and the advanced start of the growing season (SOS) contributed to an increase in SIFmax. GPPann was more sensitive to the peak of photosynthesis than LOS, with SIFmax being the dominant factor affecting GPPann in 39.9% of the study area, compared to 13.7% of the area dominated by LOS. Our results demonstrated that climate change increases GPPann primarily by increasing SIFmax rather than by extending LOS. While temperature was the largest contributor to GPPann among all climate factors, precipitation and radiation can also have an obvious effect on GPPann through SIFmax. Our study highlights the important mediating role of peak photosynthesis in the influence of climatic factors on the annual accumulated productivity of vegetation. The results provide implications for understanding the characteristics of vegetation response to climate change, and for the development of ecosystem restoration and carbon management strategies.},
}
RevDate: 2025-03-18
Reinforcement learning-based adaptive strategies for climate change adaptation: An application for coastal flood risk management.
Proceedings of the National Academy of Sciences of the United States of America, 122(12):e2402826122.
Conventional computational models of climate adaptation frameworks inadequately consider decision-makers' capacity to learn, update, and improve decisions. Here, we investigate the potential of reinforcement learning (RL), a machine learning technique that efficaciously acquires knowledge from the environment and systematically optimizes dynamic decisions, in modeling and informing adaptive climate decision-making. We consider coastal flood risk mitigations for Manhattan, New York City, USA (NYC), illustrating the benefit of continuously incorporating observations of sea-level rise into systematic designs of adaptive strategies. We find that when designing adaptive seawalls to protect NYC, the RL-derived strategy significantly reduces the expected net cost by 6 to 36% under the moderate emissions scenario SSP2-4.5 (9 to 77% under the high emissions scenario SSP5-8.5), compared to conventional methods. When considering multiple adaptive policies, including accomodation and retreat as well as protection, the RL approach leads to a further 5% (15%) cost reduction, showing RL's flexibility in coordinatively addressing complex policy design problems. RL also outperforms conventional methods in controlling tail risk (i.e., low probability, high impact outcomes) and in avoiding losses induced by misinformation about the climate state (e.g., deep uncertainty), demonstrating the importance of systematic learning and updating in addressing extremes and uncertainties related to climate adaptation.
Additional Links: PMID-40100629
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@article {pmid40100629,
year = {2025},
author = {Feng, K and Lin, N and Kopp, RE and Xian, S and Oppenheimer, M},
title = {Reinforcement learning-based adaptive strategies for climate change adaptation: An application for coastal flood risk management.},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
volume = {122},
number = {12},
pages = {e2402826122},
doi = {10.1073/pnas.2402826122},
pmid = {40100629},
issn = {1091-6490},
support = {2103754//National Science Foundation (NSF)/ ; 1652448//National Science Foundation (NSF)/ ; 62088101//MOST | National Natural Science Foundation of China (NSFC)/ ; 2021SHZDZX0100//Shanghai Municipal Science and Technology Major Project/ ; },
abstract = {Conventional computational models of climate adaptation frameworks inadequately consider decision-makers' capacity to learn, update, and improve decisions. Here, we investigate the potential of reinforcement learning (RL), a machine learning technique that efficaciously acquires knowledge from the environment and systematically optimizes dynamic decisions, in modeling and informing adaptive climate decision-making. We consider coastal flood risk mitigations for Manhattan, New York City, USA (NYC), illustrating the benefit of continuously incorporating observations of sea-level rise into systematic designs of adaptive strategies. We find that when designing adaptive seawalls to protect NYC, the RL-derived strategy significantly reduces the expected net cost by 6 to 36% under the moderate emissions scenario SSP2-4.5 (9 to 77% under the high emissions scenario SSP5-8.5), compared to conventional methods. When considering multiple adaptive policies, including accomodation and retreat as well as protection, the RL approach leads to a further 5% (15%) cost reduction, showing RL's flexibility in coordinatively addressing complex policy design problems. RL also outperforms conventional methods in controlling tail risk (i.e., low probability, high impact outcomes) and in avoiding losses induced by misinformation about the climate state (e.g., deep uncertainty), demonstrating the importance of systematic learning and updating in addressing extremes and uncertainties related to climate adaptation.},
}
RevDate: 2025-03-20
CmpDate: 2025-03-18
Altered Phenotypic Responses of Asexual Arctic Daphnia After 10 Years of Rapid Climate Change.
Global change biology, 31(3):e70119.
Understanding the fates of organisms and ecosystems under global change requires consideration of the organisms' rapid adaptation potential. In the Arctic, the recent temperature increase strongly impacts freshwater ecosystems which are important sentinels for climate change. However, a mechanistic understanding of the adaptive capacity of their key zooplankton grazers, among them polyploid, obligate parthenogenetic Daphnia, is lacking. Theory suggests low adaptation potential of asexual animals, yet examples exist of asexuals persisting through marked environmental changes. Here, we studied asexual Daphnia pulicaria from a meromictic lake in South-West Greenland. Its oxycline hosts purple sulfur bacteria (PSB), a potential food source for Daphnia. We tested two key phenotypic traits: (1) thermal tolerance as a response to rapid regional warming and (2) hypoxia tolerance tied to grazing of PSB in the hypoxic/anoxic transition zone. To assess Daphnia's adaptive capacity, we resurrected Daphnia from dormant eggs representing a historical subpopulation from 2011, sampled modern subpopulation representatives in 2022, and measured phenotypic variation of thermal (time to immobilization-Timm) and hypoxia tolerance (respiration rate and critical oxygen limit-Pcrit) in clonal lineages of both subpopulations. Whole genome sequencing of the tested clonal lineages identified three closely related genetic clusters, one with clones from both subpopulations and two unique to each subpopulation. We observed significantly lower Timm and a trend for higher Pcrit and respiration rates in the modern subpopulation, indicating a lower tolerance to both high temperature and hypoxia in comparison with the historical subpopulation. As these two traits share common physiological mechanisms, the observed phenotypic divergence might be driven by a relaxed selection pressure on hypoxia tolerance linked to variation in PSB abundance. Our results, while contrary to our expectation of higher thermal tolerance in the modern subpopulation, provide evidence for phenotypic change within a decade in this asexual Daphnia population.
Additional Links: PMID-40099534
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@article {pmid40099534,
year = {2025},
author = {Karapli-Petritsopoulou, A and Heckelmann, JJ and Becker, D and Anderson, NJ and Frisch, D},
title = {Altered Phenotypic Responses of Asexual Arctic Daphnia After 10 Years of Rapid Climate Change.},
journal = {Global change biology},
volume = {31},
number = {3},
pages = {e70119},
pmid = {40099534},
issn = {1365-2486},
support = {033W034A//Bundesministerium für Bildung und Forschung/ ; 407495230//Deutsche Forschungsgemeinschaft/ ; 423957469//Deutsche Forschungsgemeinschaft/ ; 461099895//Deutsche Forschungsgemeinschaft/ ; },
mesh = {Animals ; *Daphnia/physiology/genetics ; *Climate Change ; *Phenotype ; Arctic Regions ; Greenland ; Lakes ; Adaptation, Physiological ; Reproduction, Asexual ; },
abstract = {Understanding the fates of organisms and ecosystems under global change requires consideration of the organisms' rapid adaptation potential. In the Arctic, the recent temperature increase strongly impacts freshwater ecosystems which are important sentinels for climate change. However, a mechanistic understanding of the adaptive capacity of their key zooplankton grazers, among them polyploid, obligate parthenogenetic Daphnia, is lacking. Theory suggests low adaptation potential of asexual animals, yet examples exist of asexuals persisting through marked environmental changes. Here, we studied asexual Daphnia pulicaria from a meromictic lake in South-West Greenland. Its oxycline hosts purple sulfur bacteria (PSB), a potential food source for Daphnia. We tested two key phenotypic traits: (1) thermal tolerance as a response to rapid regional warming and (2) hypoxia tolerance tied to grazing of PSB in the hypoxic/anoxic transition zone. To assess Daphnia's adaptive capacity, we resurrected Daphnia from dormant eggs representing a historical subpopulation from 2011, sampled modern subpopulation representatives in 2022, and measured phenotypic variation of thermal (time to immobilization-Timm) and hypoxia tolerance (respiration rate and critical oxygen limit-Pcrit) in clonal lineages of both subpopulations. Whole genome sequencing of the tested clonal lineages identified three closely related genetic clusters, one with clones from both subpopulations and two unique to each subpopulation. We observed significantly lower Timm and a trend for higher Pcrit and respiration rates in the modern subpopulation, indicating a lower tolerance to both high temperature and hypoxia in comparison with the historical subpopulation. As these two traits share common physiological mechanisms, the observed phenotypic divergence might be driven by a relaxed selection pressure on hypoxia tolerance linked to variation in PSB abundance. Our results, while contrary to our expectation of higher thermal tolerance in the modern subpopulation, provide evidence for phenotypic change within a decade in this asexual Daphnia population.},
}
MeSH Terms:
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Animals
*Daphnia/physiology/genetics
*Climate Change
*Phenotype
Arctic Regions
Greenland
Lakes
Adaptation, Physiological
Reproduction, Asexual
RevDate: 2025-03-18
Mitigating global climate change and its environmental impact is a key social responsibility of scientists and should be part of research ethics policies and guidelines.
Accountability in research [Epub ahead of print].
Scientists have both epistemic and social responsibilities. Doing good science and reproducible research work would be a scientist's epistemic responsibility, but what might constitute social responsibility is perhaps broader and more subjective. Here, I posit that mitigation of global climate change (CC) and its environmental impact would be a key contemporary social responsibility of scientists. In their research, diligence in reducing the contribution of their work to greenhouse gas emissions and CC would be morally normative. Furthermore, contributing to tackling CC and its detrimental effects would be befitting of scientists' technical expertise, and is thus an appropriate reciprocative return for the training and resources afforded to them by society (and the environment). Scientists being responsible for tackling CC and its effects can be adequately described by the terms of dimensions of responsibility alluded to by de Melo-Martin and Intemann. As such, there would be no convincing reasons to reject these as important notions that should be incorporated into research ethics guidelines and policies.
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@article {pmid40098292,
year = {2025},
author = {Tang, BL},
title = {Mitigating global climate change and its environmental impact is a key social responsibility of scientists and should be part of research ethics policies and guidelines.},
journal = {Accountability in research},
volume = {},
number = {},
pages = {1-19},
doi = {10.1080/08989621.2025.2479494},
pmid = {40098292},
issn = {1545-5815},
abstract = {Scientists have both epistemic and social responsibilities. Doing good science and reproducible research work would be a scientist's epistemic responsibility, but what might constitute social responsibility is perhaps broader and more subjective. Here, I posit that mitigation of global climate change (CC) and its environmental impact would be a key contemporary social responsibility of scientists. In their research, diligence in reducing the contribution of their work to greenhouse gas emissions and CC would be morally normative. Furthermore, contributing to tackling CC and its detrimental effects would be befitting of scientists' technical expertise, and is thus an appropriate reciprocative return for the training and resources afforded to them by society (and the environment). Scientists being responsible for tackling CC and its effects can be adequately described by the terms of dimensions of responsibility alluded to by de Melo-Martin and Intemann. As such, there would be no convincing reasons to reject these as important notions that should be incorporated into research ethics guidelines and policies.},
}
RevDate: 2025-03-20
The coupled effect of climate change and LUCC on meteorological drought in a karst drainage basin, Southwest China.
Scientific reports, 15(1):9134.
With global warming and the acceleration of the water cycle, the frequency and severity of droughts have progressively increased. Although Southwest China is located inland, the combined effects of global climate change, regional climate anomalies, and human activities have led to a diversified set of driving mechanisms for meteorological droughts. Based on monthly global and regional meteorological factors (10 global factors and 8 regional factors) and land use/land cover data from 1948 to 2023, this study employs classical correlation analysis, wavelet analysis, and Bayesian principles to explore the temporal and spatial evolution characteristics of meteorological droughts in Southwest China, as well as their driving mechanisms. The results show that: (1) between 1948 and 2023, meteorological droughts in Southwest China exhibited a north-south (annual average, spring, and winter) or east-west decreasing trend (autumn) and alternating east-west intensity in summer. The drought frequency ranged from 0.35 to 0.39, generally showing a decreasing trend from southwest to northeast. (2) Global atmospheric circulation significantly influences meteorological droughts in Southwest China, especially during El Niño years, when global atmospheric circulation factors such as Nino 3.4 and SOI have a more prominent impact on drought, particularly in the summer and autumn. In contrast, during La Niña years, drought intensity and frequency are more pronounced in spring and autumn. Regional climate factors, particularly temperature and evapotranspiration, also have a significant effect on drought across different seasons, especially in winter and spring, when higher temperatures and evapotranspiration exacerbate droughts, and precipitation has a relatively weaker effect. (3) Land use changes significantly affect meteorological droughts in Southwest China, with a driving probability ranging from 0.39 to 0.42. Under different climate conditions, the driving probabilities of land use changes are ranked as follows: El Niño years (0.32-0.52) > Normal years (0.31-0.51) > La Niña years (0.27-0.50). In particular, land use changes such as the expansion of built-up areas and the reduction of farmland could intensify the frequency and severity of meteorological droughts in drought-prone areas. Additionally, the reduction of green spaces or forests may also exacerbate droughts, especially during the urbanization process. Notably, during El Niño years, the driving effect of various landforms on drought shows different skewed distributions. Therefore, this study clarifies, to some extent, the evolution and mechanisms of meteorological droughts in Southwest China and provides technical guidance and theoretical support for drought prevention and disaster relief efforts in the Karst region.
Additional Links: PMID-40097521
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@article {pmid40097521,
year = {2025},
author = {He, Z and Gu, X and Wang, M and Xu, M},
title = {The coupled effect of climate change and LUCC on meteorological drought in a karst drainage basin, Southwest China.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {9134},
pmid = {40097521},
issn = {2045-2322},
support = {QKHJ-ZK[2023] Key028//Natural Science Foundation of Guizhou Province, China/ ; KT202237//Natural and scientific research fund of Guizhou Water Resources Department/ ; u1612441; 41471032//Natural Science Foundation of China/ ; QKH J [2010] No. 2026, QKH J [2013] No. 2208//Natural and scientific fund of Guizhou Science and Technology Agency/ ; 2015//2015 Doctor Scientific Research Startup Project of Guizhou Normal University/ ; },
abstract = {With global warming and the acceleration of the water cycle, the frequency and severity of droughts have progressively increased. Although Southwest China is located inland, the combined effects of global climate change, regional climate anomalies, and human activities have led to a diversified set of driving mechanisms for meteorological droughts. Based on monthly global and regional meteorological factors (10 global factors and 8 regional factors) and land use/land cover data from 1948 to 2023, this study employs classical correlation analysis, wavelet analysis, and Bayesian principles to explore the temporal and spatial evolution characteristics of meteorological droughts in Southwest China, as well as their driving mechanisms. The results show that: (1) between 1948 and 2023, meteorological droughts in Southwest China exhibited a north-south (annual average, spring, and winter) or east-west decreasing trend (autumn) and alternating east-west intensity in summer. The drought frequency ranged from 0.35 to 0.39, generally showing a decreasing trend from southwest to northeast. (2) Global atmospheric circulation significantly influences meteorological droughts in Southwest China, especially during El Niño years, when global atmospheric circulation factors such as Nino 3.4 and SOI have a more prominent impact on drought, particularly in the summer and autumn. In contrast, during La Niña years, drought intensity and frequency are more pronounced in spring and autumn. Regional climate factors, particularly temperature and evapotranspiration, also have a significant effect on drought across different seasons, especially in winter and spring, when higher temperatures and evapotranspiration exacerbate droughts, and precipitation has a relatively weaker effect. (3) Land use changes significantly affect meteorological droughts in Southwest China, with a driving probability ranging from 0.39 to 0.42. Under different climate conditions, the driving probabilities of land use changes are ranked as follows: El Niño years (0.32-0.52) > Normal years (0.31-0.51) > La Niña years (0.27-0.50). In particular, land use changes such as the expansion of built-up areas and the reduction of farmland could intensify the frequency and severity of meteorological droughts in drought-prone areas. Additionally, the reduction of green spaces or forests may also exacerbate droughts, especially during the urbanization process. Notably, during El Niño years, the driving effect of various landforms on drought shows different skewed distributions. Therefore, this study clarifies, to some extent, the evolution and mechanisms of meteorological droughts in Southwest China and provides technical guidance and theoretical support for drought prevention and disaster relief efforts in the Karst region.},
}
RevDate: 2025-03-20
CmpDate: 2025-03-18
Artificial structures can facilitate rapid coral recovery under climate change.
Scientific reports, 15(1):9116.
Rising seawater temperatures from climate change have caused coral bleaching, risking coral extinction by century's end. To save corals, reef restoration must occur alongside other climate-change mitigation. Here we show the effectiveness of habitat creation on artificial structures for rapid coral restoration in response to climate change. We use 29 years of field observations for coral distributions on breakwaters and surrounding reefs (around 33,000 measurements in total). Following bleaching in 1998, breakwaters had higher coral cover (mainly Acropora spp.) than did surrounding natural reefs. Coral recovery times on breakwaters matched the frequency of recent bleaching events (~ every 6 years) and were accelerated by surface processing of the artificial structures with grooves. Corals on breakwaters were more abundant in shallow waters, under high light, and on moderately sloped substrate. Coral abundance on breakwaters was increased by incorporating shallow areas and surface texture. Our results suggest that habitat creation on artificial structures can increase coral community resilience against climate change by increasing coral recovery potential.
Additional Links: PMID-40097480
PubMed:
Citation:
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@article {pmid40097480,
year = {2025},
author = {Tanaya, T and Iwamura, S and Okada, W and Kuwae, T},
title = {Artificial structures can facilitate rapid coral recovery under climate change.},
journal = {Scientific reports},
volume = {15},
number = {1},
pages = {9116},
pmid = {40097480},
issn = {2045-2322},
mesh = {*Climate Change ; Animals ; *Anthozoa/physiology ; *Coral Reefs ; *Ecosystem ; Coral Bleaching ; Seawater ; Conservation of Natural Resources/methods ; },
abstract = {Rising seawater temperatures from climate change have caused coral bleaching, risking coral extinction by century's end. To save corals, reef restoration must occur alongside other climate-change mitigation. Here we show the effectiveness of habitat creation on artificial structures for rapid coral restoration in response to climate change. We use 29 years of field observations for coral distributions on breakwaters and surrounding reefs (around 33,000 measurements in total). Following bleaching in 1998, breakwaters had higher coral cover (mainly Acropora spp.) than did surrounding natural reefs. Coral recovery times on breakwaters matched the frequency of recent bleaching events (~ every 6 years) and were accelerated by surface processing of the artificial structures with grooves. Corals on breakwaters were more abundant in shallow waters, under high light, and on moderately sloped substrate. Coral abundance on breakwaters was increased by incorporating shallow areas and surface texture. Our results suggest that habitat creation on artificial structures can increase coral community resilience against climate change by increasing coral recovery potential.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Climate Change
Animals
*Anthozoa/physiology
*Coral Reefs
*Ecosystem
Coral Bleaching
Seawater
Conservation of Natural Resources/methods
RevDate: 2025-03-20
Monitoring, modeling, and forecasting long-term changes in coastal seawater quality due to climate change.
Nature communications, 16(1):2616.
As climate change affects the physicochemical properties of coastal water, the resulting element re-exposure may override the emission reductions achieved by human pollution control efforts. Here, we conduct an analysis the water quality-climate effect over eight consecutive years from 2015 to 2022 along the South China coast combined with CMIP6 Scenario Model Intercomparison Project. Then we utilized a data-driven model to predict the concentrations of trace metals and nutrients over the next 80 years. It is suggested that the acidification process carries the risk of triggering the ocean's buffering mechanisms. During this alkalinity replenishment process, trace metals, such as Cd, Cr, Cu, Fe, Hg, Mn, Pb, and Zn, in the sediment are released into the water phase, along with Ca[2+] and Mg[2+]. Here, the aim of this study is to show that the nexus of re-exposure-eutrophication-emission reduction with human activities and climate feedback, cannot be ignored in the pursuit of effective environmental governance.
Additional Links: PMID-40097418
PubMed:
Citation:
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@article {pmid40097418,
year = {2025},
author = {Guan, X and Huang, H and Ke, X and Cheng, X and Zhang, H and Chen, A and Qiu, G and Wu, H and Wei, C},
title = {Monitoring, modeling, and forecasting long-term changes in coastal seawater quality due to climate change.},
journal = {Nature communications},
volume = {16},
number = {1},
pages = {2616},
pmid = {40097418},
issn = {2041-1723},
support = {No. U1901218//National Natural Science Foundation of China (National Science Foundation of China)/ ; No. 42277379//National Natural Science Foundation of China (National Science Foundation of China)/ ; },
abstract = {As climate change affects the physicochemical properties of coastal water, the resulting element re-exposure may override the emission reductions achieved by human pollution control efforts. Here, we conduct an analysis the water quality-climate effect over eight consecutive years from 2015 to 2022 along the South China coast combined with CMIP6 Scenario Model Intercomparison Project. Then we utilized a data-driven model to predict the concentrations of trace metals and nutrients over the next 80 years. It is suggested that the acidification process carries the risk of triggering the ocean's buffering mechanisms. During this alkalinity replenishment process, trace metals, such as Cd, Cr, Cu, Fe, Hg, Mn, Pb, and Zn, in the sediment are released into the water phase, along with Ca[2+] and Mg[2+]. Here, the aim of this study is to show that the nexus of re-exposure-eutrophication-emission reduction with human activities and climate feedback, cannot be ignored in the pursuit of effective environmental governance.},
}
RevDate: 2025-03-17
CmpDate: 2025-03-17
Climate Change and Cancer Care.
Clinical journal of oncology nursing, 29(2):110-111.
To commemorate ONS's 50th anniversary in 2025, throughout the year, we will be reprinting seminal editorials written by former editors of the Oncology Nursing Forum and the Clinical Journal of Oncology Nursing that have.
Additional Links: PMID-40096566
Publisher:
PubMed:
Citation:
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@article {pmid40096566,
year = {2025},
author = {Mayer, DK and McCabe, M},
title = {Climate Change and Cancer Care.},
journal = {Clinical journal of oncology nursing},
volume = {29},
number = {2},
pages = {110-111},
doi = {10.1188/25.CJON.110-111},
pmid = {40096566},
issn = {1538-067X},
mesh = {Humans ; *Climate Change ; *Neoplasms/therapy/nursing ; *Oncology Nursing ; },
abstract = {To commemorate ONS's 50th anniversary in 2025, throughout the year, we will be reprinting seminal editorials written by former editors of the Oncology Nursing Forum and the Clinical Journal of Oncology Nursing that have.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Climate Change
*Neoplasms/therapy/nursing
*Oncology Nursing
RevDate: 2025-03-17
CmpDate: 2025-03-17
Synergistic impact of temperature rises and ferric oxide nanoparticles on biochemical and oxidative stress biomarkers in Oreochromis niloticus: relevant environmental risk assessment under predicted global warming.
Environmental monitoring and assessment, 197(4):409.
Global warming and contamination of freshwater environments with nanoparticles (NPs) pose a global threat to biodiversity. Numerous studies demonstrated the effects of increasing temperatures and NPs separately, but their combined impact on aquatic life remains poorly understood or unstudied, particularly under predicted rising temperatures resulting from global warming (+ 2 and + 4 °C). So, the present study aims to determine how the temperature rises affect the toxicological characteristics of ferric oxide nanoparticles (Fe2O3 NPs) on the prevalent freshwater fish, Nile tilapia (Oreochromis niloticus). Fish samples were randomly put into six glass aquaria groups: 0 mg/L Fe2O3 NPs and 25 mg/L Fe2O3 NPs groups at 30 °C, 32 °C, and 34 °C with duplicated aquaria per group for 4 days. Hydrodynamic size and zeta potential evaluations revealed that Fe2O3 NPs' aggregation in water decreases with high temperature. Additionally, increasing the temperature and exposure to Fe2O3 NPs led to a significant rise in total proteins, albumin, globulin, plasma aspartate aminotransferase (AST), plasma alanine aminotransferase (ALT), plasma alkaline phosphatase (ALP), creatinine, and uric acid. We also noticed alterations in the amounts of malondialdehyde (MDA), glutathione reduced (GSH), and catalase (CAT) in the fish's liver and gills. Finally, our findings indicated that Fe2O3 NPs' toxicity in fish escalated with increasing temperature, peaking at 34 °C due to particle property changes caused by temperature elevation. Therefore, it should not ignore the impact of the projected global increasing temperatures on NPs toxicity in freshwater habitats.
Additional Links: PMID-40095155
PubMed:
Citation:
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@article {pmid40095155,
year = {2025},
author = {Mohamed, AF and Mohamed, AS and Abdel-Khalek, AA and Badran, SR},
title = {Synergistic impact of temperature rises and ferric oxide nanoparticles on biochemical and oxidative stress biomarkers in Oreochromis niloticus: relevant environmental risk assessment under predicted global warming.},
journal = {Environmental monitoring and assessment},
volume = {197},
number = {4},
pages = {409},
pmid = {40095155},
issn = {1573-2959},
mesh = {Animals ; *Global Warming ; *Oxidative Stress ; *Cichlids/metabolism ; *Biomarkers/metabolism ; *Ferric Compounds/toxicity ; Risk Assessment ; Water Pollutants, Chemical/toxicity ; Temperature ; Magnetic Iron Oxide Nanoparticles/toxicity ; Environmental Monitoring ; Nanoparticles/toxicity ; },
abstract = {Global warming and contamination of freshwater environments with nanoparticles (NPs) pose a global threat to biodiversity. Numerous studies demonstrated the effects of increasing temperatures and NPs separately, but their combined impact on aquatic life remains poorly understood or unstudied, particularly under predicted rising temperatures resulting from global warming (+ 2 and + 4 °C). So, the present study aims to determine how the temperature rises affect the toxicological characteristics of ferric oxide nanoparticles (Fe2O3 NPs) on the prevalent freshwater fish, Nile tilapia (Oreochromis niloticus). Fish samples were randomly put into six glass aquaria groups: 0 mg/L Fe2O3 NPs and 25 mg/L Fe2O3 NPs groups at 30 °C, 32 °C, and 34 °C with duplicated aquaria per group for 4 days. Hydrodynamic size and zeta potential evaluations revealed that Fe2O3 NPs' aggregation in water decreases with high temperature. Additionally, increasing the temperature and exposure to Fe2O3 NPs led to a significant rise in total proteins, albumin, globulin, plasma aspartate aminotransferase (AST), plasma alanine aminotransferase (ALT), plasma alkaline phosphatase (ALP), creatinine, and uric acid. We also noticed alterations in the amounts of malondialdehyde (MDA), glutathione reduced (GSH), and catalase (CAT) in the fish's liver and gills. Finally, our findings indicated that Fe2O3 NPs' toxicity in fish escalated with increasing temperature, peaking at 34 °C due to particle property changes caused by temperature elevation. Therefore, it should not ignore the impact of the projected global increasing temperatures on NPs toxicity in freshwater habitats.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Global Warming
*Oxidative Stress
*Cichlids/metabolism
*Biomarkers/metabolism
*Ferric Compounds/toxicity
Risk Assessment
Water Pollutants, Chemical/toxicity
Temperature
Magnetic Iron Oxide Nanoparticles/toxicity
Environmental Monitoring
Nanoparticles/toxicity
RevDate: 2025-03-19
MaxEnt-Based Distribution Modeling of the Invasive Species Phragmites australis Under Climate Change Conditions in Iraq.
Plants (Basel, Switzerland), 14(5):.
Phragmites australis (common reed), a recently introduced invasive species in Iraq, has swiftly established itself as a vigorous perennial plant, significantly impacting the biodiversity and ecosystem functions of Iraqi ecoregions with alarming consequences. There is an insufficient understanding of both the current distribution and possible future trends under climate change scenarios. Consequently, this study seeks to model the current and future potential distribution of this invasive species in Iraq using machine learning techniques (i.e., MaxEnt) alongside geospatial tools integrated within a GIS framework. Land-cover features, such as herbaceous zones, wetlands, annual precipitation, and elevation, emerged as optimal conditioning factors for supporting the species' invasiveness and habitat through vegetation cover and moisture retention. These factors collectively contributed by nearly 85% to the distribution of P. australis in Iraq. In addition, the results indicate a net decline in high-suitability habitats for P. australis under both the SSP126 (moderate mitigation; 5.33% habitat loss) and SSP585 (high emissions; 6.74% habitat loss) scenarios, with losses concentrated in southern and northern Iraq. The model demonstrated robust reliability, achieving an AUC score of 0.9 ± 0.012, which reflects high predictive accuracy. The study area covers approximately 430,632.17 km[2], of which 64,065.66 km[2] (14.87% of the total region) was classified as the optimal habitat for P. australis. While climate projections indicate an overall decline (i.e., SSP126 (5.33% loss) and SSP585 (6.74% loss)) in suitable habitats for P. australis across Iraq, certain localized regions may experience increased habitat suitability, reflecting potential gains (i.e., SSP126 (3.58% gain) and SSP585 (1.82% gain)) in specific areas. Policymakers should focus on regions with emerging suitability risks for proactive monitoring and management. Additionally, areas already infested by the species require enhanced surveillance and containment measures to mitigate ecological and socioeconomic impacts.
Additional Links: PMID-40094769
PubMed:
Citation:
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@article {pmid40094769,
year = {2025},
author = {Khwarahm, NR},
title = {MaxEnt-Based Distribution Modeling of the Invasive Species Phragmites australis Under Climate Change Conditions in Iraq.},
journal = {Plants (Basel, Switzerland)},
volume = {14},
number = {5},
pages = {},
pmid = {40094769},
issn = {2223-7747},
abstract = {Phragmites australis (common reed), a recently introduced invasive species in Iraq, has swiftly established itself as a vigorous perennial plant, significantly impacting the biodiversity and ecosystem functions of Iraqi ecoregions with alarming consequences. There is an insufficient understanding of both the current distribution and possible future trends under climate change scenarios. Consequently, this study seeks to model the current and future potential distribution of this invasive species in Iraq using machine learning techniques (i.e., MaxEnt) alongside geospatial tools integrated within a GIS framework. Land-cover features, such as herbaceous zones, wetlands, annual precipitation, and elevation, emerged as optimal conditioning factors for supporting the species' invasiveness and habitat through vegetation cover and moisture retention. These factors collectively contributed by nearly 85% to the distribution of P. australis in Iraq. In addition, the results indicate a net decline in high-suitability habitats for P. australis under both the SSP126 (moderate mitigation; 5.33% habitat loss) and SSP585 (high emissions; 6.74% habitat loss) scenarios, with losses concentrated in southern and northern Iraq. The model demonstrated robust reliability, achieving an AUC score of 0.9 ± 0.012, which reflects high predictive accuracy. The study area covers approximately 430,632.17 km[2], of which 64,065.66 km[2] (14.87% of the total region) was classified as the optimal habitat for P. australis. While climate projections indicate an overall decline (i.e., SSP126 (5.33% loss) and SSP585 (6.74% loss)) in suitable habitats for P. australis across Iraq, certain localized regions may experience increased habitat suitability, reflecting potential gains (i.e., SSP126 (3.58% gain) and SSP585 (1.82% gain)) in specific areas. Policymakers should focus on regions with emerging suitability risks for proactive monitoring and management. Additionally, areas already infested by the species require enhanced surveillance and containment measures to mitigate ecological and socioeconomic impacts.},
}
RevDate: 2025-03-19
Prediction of Potential Distribution and Response of Changium smyrnioides to Climate Change Based on Optimized MaxEnt Model.
Plants (Basel, Switzerland), 14(5):.
Changium smyrnioides, an endangered herb known for its medicinal roots, contains essential amino acids that are vital for human health but cannot be synthesized by the body. However, wild populations of this species have been steadily declining due to the combined impacts of climate change and anthropogenic activities. In this study, we employed an optimized MaxEnt model to predict the potential distribution of C. smyrnioides under different climate scenarios and to evaluate its responses to climate change. Our findings demonstrated that the MaxEnt model achieved optimal performance with a regularization multiplier of 0.5 and a feature combination of linear and quadratic terms. Among the environmental variables, three emerged as the most critical factors shaping the species' potential distribution: elevation, precipitation of the driest month (bio14), and isothermality (bio2/bio7 × 100, bio3). Currently, the primary suitable habitats for C. smyrnioides are concentrated in Jiangsu Province, with an estimated 21,135 km[2] classified as highly suitable. The analysis further indicated that, in response to rising temperatures, C. smyrnioides is likely to shift its distribution northeastward across China. Notably, the results suggested that the total area of suitable habitats would increase over time under projected climate scenarios. Based on the predicted centroid migration of suitable habitats, Anhui Province was identified as a critical future conservation zone for C. smyrnioides. This region could serve as a vital refuge, ensuring the long-term survival of the species under changing climatic conditions. Overall, this study provides key insights into the ecological responses of C. smyrnioides to climate change, offering evidence-based guidance for the development of effective conservation strategies aimed at safeguarding this endangered herb.
Additional Links: PMID-40094718
PubMed:
Citation:
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@article {pmid40094718,
year = {2025},
author = {Zhu, X and Jiang, X and Chen, Y and Li, C and Ding, S and Zhang, X and Luo, L and Jia, Y and Zhao, G},
title = {Prediction of Potential Distribution and Response of Changium smyrnioides to Climate Change Based on Optimized MaxEnt Model.},
journal = {Plants (Basel, Switzerland)},
volume = {14},
number = {5},
pages = {},
pmid = {40094718},
issn = {2223-7747},
support = {2024SF-GJHX-4//Key research and Development Program of Shaanxi/ ; },
abstract = {Changium smyrnioides, an endangered herb known for its medicinal roots, contains essential amino acids that are vital for human health but cannot be synthesized by the body. However, wild populations of this species have been steadily declining due to the combined impacts of climate change and anthropogenic activities. In this study, we employed an optimized MaxEnt model to predict the potential distribution of C. smyrnioides under different climate scenarios and to evaluate its responses to climate change. Our findings demonstrated that the MaxEnt model achieved optimal performance with a regularization multiplier of 0.5 and a feature combination of linear and quadratic terms. Among the environmental variables, three emerged as the most critical factors shaping the species' potential distribution: elevation, precipitation of the driest month (bio14), and isothermality (bio2/bio7 × 100, bio3). Currently, the primary suitable habitats for C. smyrnioides are concentrated in Jiangsu Province, with an estimated 21,135 km[2] classified as highly suitable. The analysis further indicated that, in response to rising temperatures, C. smyrnioides is likely to shift its distribution northeastward across China. Notably, the results suggested that the total area of suitable habitats would increase over time under projected climate scenarios. Based on the predicted centroid migration of suitable habitats, Anhui Province was identified as a critical future conservation zone for C. smyrnioides. This region could serve as a vital refuge, ensuring the long-term survival of the species under changing climatic conditions. Overall, this study provides key insights into the ecological responses of C. smyrnioides to climate change, offering evidence-based guidance for the development of effective conservation strategies aimed at safeguarding this endangered herb.},
}
RevDate: 2025-03-19
MaxEnt Modeling and Effects of Climate Change on Shifts in Habitat Suitability for Sorbus alnifolia in China.
Plants (Basel, Switzerland), 14(5):.
Anthropogenic climate change stands out as one of the primary forces expected to reshape Earth's ecosystems and global biodiversity in the coming decades. Sorbus alnifolia, which occurs in deciduous forests, is valued for its ornamental appeal and practical uses but is reported to be declining in the wild. Nevertheless, the distribution of this species' suitable range, along with the key ecological and environmental drivers that shape its habitat suitability, remains largely unknown. By analyzing 198 occurrence records and 54 environmental factors, we employed MaxEnt to project S. alnifolia's current and future habitat suitability. Our results showed that annual precipitation (37.4%), normalized difference vegetation index (30.0%), August water vapor pressure (20.8%), and temperature annual range (3.4%) were the most significant variables explaining S. alnifolia's environmental requirements. The suitable habitats were primarily scattered across eastern and central China. Under projected future climatic conditions, the total expanse of potential habitat is expected to increase. However, most of this expansion involves low-suitability habitats, whereas moderately and highly suitable habitats are likely to shrink, especially in southern and lower-altitude regions of China. Based on these findings, we propose several conservation strategies to support the long-term sustainability of S. alnifolia.
Additional Links: PMID-40094567
PubMed:
Citation:
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@article {pmid40094567,
year = {2025},
author = {Luo, Y and Yang, J and Liu, L and Zhang, K},
title = {MaxEnt Modeling and Effects of Climate Change on Shifts in Habitat Suitability for Sorbus alnifolia in China.},
journal = {Plants (Basel, Switzerland)},
volume = {14},
number = {5},
pages = {},
pmid = {40094567},
issn = {2223-7747},
support = {32471591//National Natural Science Foundation of China/ ; SJCX21_1614.//Postgraduate Research & Practice Innovation Program of Jiangsu Province/ ; },
abstract = {Anthropogenic climate change stands out as one of the primary forces expected to reshape Earth's ecosystems and global biodiversity in the coming decades. Sorbus alnifolia, which occurs in deciduous forests, is valued for its ornamental appeal and practical uses but is reported to be declining in the wild. Nevertheless, the distribution of this species' suitable range, along with the key ecological and environmental drivers that shape its habitat suitability, remains largely unknown. By analyzing 198 occurrence records and 54 environmental factors, we employed MaxEnt to project S. alnifolia's current and future habitat suitability. Our results showed that annual precipitation (37.4%), normalized difference vegetation index (30.0%), August water vapor pressure (20.8%), and temperature annual range (3.4%) were the most significant variables explaining S. alnifolia's environmental requirements. The suitable habitats were primarily scattered across eastern and central China. Under projected future climatic conditions, the total expanse of potential habitat is expected to increase. However, most of this expansion involves low-suitability habitats, whereas moderately and highly suitable habitats are likely to shrink, especially in southern and lower-altitude regions of China. Based on these findings, we propose several conservation strategies to support the long-term sustainability of S. alnifolia.},
}
RevDate: 2025-03-18
Mapping multilevel adaptation response to protect maternal and child health from climate change impacts: A scoping review.
iScience, 28(3):111914.
Anthropogenic climate change attributed increases in air pollution, rising temperatures, and extreme weather events are linked to a higher risk of adverse pregnancy and birth outcomes, necessitating interventions to protect maternal and child health. This scoping review mapped multilevel adaptation strategies implemented to protect maternal and child health from climate change effects. Eighteen unique adaptation strategies we identified included educational interventions, risk communication, air purifiers, air cleaning strategies, nutrition supplementation, cash transfer, employment guarantee scheme, community health worker program, chemoprophylaxis, insecticide-treated nests, home and environmental remediation, and bioethanol cooking fuel. Our findings suggest that these adaptation strategies are generally nonspecific and fail to address the specialized needs and unique health risks faced by pregnant women and young children. Prioritizing the involvement of pregnant women, mothers of young children and local healthcare services in developing tailored adaptation interventions is crucial to support climate change adaptation, resilience, and reducing maternal and child health risks.
Additional Links: PMID-40092619
PubMed:
Citation:
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@article {pmid40092619,
year = {2025},
author = {Bhandari, D and Robinson, E and Pollock, W and Watterson, J and Su, TT and Lokmic-Tomkins, Z},
title = {Mapping multilevel adaptation response to protect maternal and child health from climate change impacts: A scoping review.},
journal = {iScience},
volume = {28},
number = {3},
pages = {111914},
pmid = {40092619},
issn = {2589-0042},
abstract = {Anthropogenic climate change attributed increases in air pollution, rising temperatures, and extreme weather events are linked to a higher risk of adverse pregnancy and birth outcomes, necessitating interventions to protect maternal and child health. This scoping review mapped multilevel adaptation strategies implemented to protect maternal and child health from climate change effects. Eighteen unique adaptation strategies we identified included educational interventions, risk communication, air purifiers, air cleaning strategies, nutrition supplementation, cash transfer, employment guarantee scheme, community health worker program, chemoprophylaxis, insecticide-treated nests, home and environmental remediation, and bioethanol cooking fuel. Our findings suggest that these adaptation strategies are generally nonspecific and fail to address the specialized needs and unique health risks faced by pregnant women and young children. Prioritizing the involvement of pregnant women, mothers of young children and local healthcare services in developing tailored adaptation interventions is crucial to support climate change adaptation, resilience, and reducing maternal and child health risks.},
}
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ESP Quick Facts
ESP Origins
In the early 1990's, Robert Robbins was a faculty member at Johns Hopkins, where he directed the informatics core of GDB — the human gene-mapping database of the international human genome project. To share papers with colleagues around the world, he set up a small paper-sharing section on his personal web page. This small project evolved into The Electronic Scholarly Publishing Project.
ESP Support
In 1995, Robbins became the VP/IT of the Fred Hutchinson Cancer Research Center in Seattle, WA. Soon after arriving in Seattle, Robbins secured funding, through the ELSI component of the US Human Genome Project, to create the original ESP.ORG web site, with the formal goal of providing free, world-wide access to the literature of classical genetics.
ESP Rationale
Although the methods of molecular biology can seem almost magical to the uninitiated, the original techniques of classical genetics are readily appreciated by one and all: cross individuals that differ in some inherited trait, collect all of the progeny, score their attributes, and propose mechanisms to explain the patterns of inheritance observed.
ESP Goal
In reading the early works of classical genetics, one is drawn, almost inexorably, into ever more complex models, until molecular explanations begin to seem both necessary and natural. At that point, the tools for understanding genome research are at hand. Assisting readers reach this point was the original goal of The Electronic Scholarly Publishing Project.
ESP Usage
Usage of the site grew rapidly and has remained high. Faculty began to use the site for their assigned readings. Other on-line publishers, ranging from The New York Times to Nature referenced ESP materials in their own publications. Nobel laureates (e.g., Joshua Lederberg) regularly used the site and even wrote to suggest changes and improvements.
ESP Content
When the site began, no journals were making their early content available in digital format. As a result, ESP was obliged to digitize classic literature before it could be made available. For many important papers — such as Mendel's original paper or the first genetic map — ESP had to produce entirely new typeset versions of the works, if they were to be available in a high-quality format.
ESP Help
Early support from the DOE component of the Human Genome Project was critically important for getting the ESP project on a firm foundation. Since that funding ended (nearly 20 years ago), the project has been operated as a purely volunteer effort. Anyone wishing to assist in these efforts should send an email to Robbins.
ESP Plans
With the development of methods for adding typeset side notes to PDF files, the ESP project now plans to add annotated versions of some classical papers to its holdings. We also plan to add new reference and pedagogical material. We have already started providing regularly updated, comprehensive bibliographies to the ESP.ORG site.
ESP Picks from Around the Web (updated 28 JUL 2024 )
Old Science
Weird Science
Treating Disease with Fecal Transplantation
Fossils of miniature humans (hobbits) discovered in Indonesia
Paleontology
Dinosaur tail, complete with feathers, found preserved in amber.
Astronomy
Mysterious fast radio burst (FRB) detected in the distant universe.
Big Data & Informatics
Big Data: Buzzword or Big Deal?
Hacking the genome: Identifying anonymized human subjects using publicly available data.