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Bibliography on: Climate Change

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ESP: PubMed Auto Bibliography 25 Mar 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®)

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RevDate: 2025-03-24
CmpDate: 2025-03-21

Bhuyan A, Bawri A, Saikia BP, et al (2025)

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.

RevDate: 2025-03-24
CmpDate: 2025-03-24

Jiang J, Chen JF, Li XT, et al (2025)

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.

RevDate: 2025-03-24
CmpDate: 2025-03-21

Moldovan OT, Levei E, Ferreira RL, et al (2025)

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.

RevDate: 2025-03-24
CmpDate: 2025-03-21

Rathebe PC, Mphaga KV, DM Masekameni (2025)

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.

RevDate: 2025-03-21

Freitas Barroso R, Cardoso VL, Alves AG, et al (2025)

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.

RevDate: 2025-03-20

Dominguez-Rodriguez A, Apprich F, Friehs MA, et al (2025)

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.

RevDate: 2025-03-20

Kerth G, JM Wolf (2025)

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.

RevDate: 2025-03-20

Sun BJ, Lu HL, Cheng KM, et al (2025)

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.

RevDate: 2025-03-20

Levinson W, Chang I, S Ward (2025)

Minimizing the Effects of Surgical Care on Climate Change.

JAMA pii:2831842 [Epub ahead of print].

RevDate: 2025-03-20

Miroshnyk N, Grabovska T, H Roubík (2025)

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.

RevDate: 2025-03-20

Abir M, Vardavas R, Tariq ZH, et al (2025)

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.

RevDate: 2025-03-20

Nguyen TT, Hayashi T, Iwayama H, et al (2025)

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.

RevDate: 2025-03-19

Trabelsi E (2025)

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.

RevDate: 2025-03-19
CmpDate: 2025-03-19

Gil-Clavel S, Wagenblast T, T Filatova (2025)

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.

RevDate: 2025-03-19
CmpDate: 2025-03-19

Bebeley JF, Tofa AI, Kamara AY, et al (2025)

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.

RevDate: 2025-03-19

Sames KM (2025)

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.

RevDate: 2025-03-19

Li G, Törnqvist TE, S Dangendorf (2025)

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.

RevDate: 2025-03-18
CmpDate: 2025-03-18

Colozza D, Guo I, Sukotjo SW, et al (2025)

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.

RevDate: 2025-03-18

Harmon O'Driscoll J, Healy MG, Siggins A, et al (2025)

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.

RevDate: 2025-03-18

Besarra I, Opdyke A, Mendoza JE, et al (2025)

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.

RevDate: 2025-03-18

Chen W, Hu S, Y Liu (2025)

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.

RevDate: 2025-03-18

Li H, Zhang H, Feng Z, et al (2025)

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.

RevDate: 2025-03-18

Feng K, Lin N, Kopp RE, et al (2025)

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.

RevDate: 2025-03-20
CmpDate: 2025-03-18

Karapli-Petritsopoulou A, Heckelmann JJ, Becker D, et al (2025)

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.

RevDate: 2025-03-18

Tang BL (2025)

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.

RevDate: 2025-03-20

He Z, Gu X, Wang M, et al (2025)

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.

RevDate: 2025-03-20
CmpDate: 2025-03-18

Tanaya T, Iwamura S, Okada W, et al (2025)

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.

RevDate: 2025-03-20

Guan X, Huang H, Ke X, et al (2025)

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.

RevDate: 2025-03-17
CmpDate: 2025-03-17

Mayer DK, M McCabe (2025)

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.

RevDate: 2025-03-17
CmpDate: 2025-03-17

Mohamed AF, Mohamed AS, Abdel-Khalek AA, et al (2025)

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.

RevDate: 2025-03-19

Khwarahm NR (2025)

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.

RevDate: 2025-03-19

Zhu X, Jiang X, Chen Y, et al (2025)

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.

RevDate: 2025-03-19

Luo Y, Yang J, Liu L, et al (2025)

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.

RevDate: 2025-03-18

Bhandari D, Robinson E, Pollock W, et al (2025)

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.

RevDate: 2025-03-17
CmpDate: 2025-03-17

Moslehi S, Narimani S, S Soleimanpour (2025)

Challenges and Adaptive Measures for the Potential Next Pandemic Caused by Climate Change.

Disaster medicine and public health preparedness, 19:e59 pii:S1935789325000564.

Climate change is increasingly recognized as a significant driver of emerging infectious diseases, with the potential to catalyze the next global pandemic. This paper explores the complex interplay between climate change and the emergence of novel pathogens, emphasizing the environmental, ecological, and socio-economic factors that contribute to disease transmission. Rising temperatures, altered precipitation patterns, and habitat destruction are reshaping ecosystems, bringing humans into closer contact with zoonotic reservoirs and vectors. These changes amplify the risk of spillover events, as seen in recent outbreaks. The study identifies key challenges, including inadequate surveillance systems, limited global cooperation, and the disproportionate impact on vulnerable populations. Furthermore, it proposes adaptive measures such as enhanced early warning systems, integrated One Health approaches, and climate-resilient public health infrastructure. By addressing these challenges and implementing proactive strategies, the global community can mitigate the risk of a climate-driven pandemic and strengthen preparedness for future health crises. This paper underscores the urgent need for interdisciplinary collaboration and policy innovation to safeguard global health in the face of a changing climate.

RevDate: 2025-03-16

Rony F, Pittelli MG, Contursi C, et al (2025)

Impact on beclometasone dipropionate pharmacokinetics when switching to a low global warming potential propellant in a pressurised metered-dose inhaler.

Pulmonary pharmacology & therapeutics pii:S1094-5539(25)00013-6 [Epub ahead of print].

INTRODUCTION: Use of high global warming potential propellants (e.g., HFA-134a) for pressurised metered-dose inhalers (pMDIs) is being phased down. Beclometasone dipropionate (BDP) is approved for the treatment of asthma in several countries via an HFA-134a propellant pMDI. This is being reformulated using the low global warming potential propellant HFA-152a. Two studies compared BDP pharmacokinetics delivered via pMDI using HFA-152a vs HFA-134a.

METHODS: Both studies (N=71/study) were single-dose (four inhalations of BDP), randomised, double-blind, crossover (Study 1, four-way; Study 2, two-way), in healthy volunteers. In Study 1, subjects inhaled BDP via HFA-134a pMDI in two periods (200 μg/actuation in one period, 100 μg/actuation in the other) and HFA-152a pMDI in the other two (200 or 100 μg/actuation). In Study 2, subjects inhaled BDP 200 μg/actuation via HFA-134a or HFA-152a pMDI using a spacer device. pMDIs containing HFA-152a and HFA-134a were compared in terms of lung availability (BDP comparisons) and total systemic exposure (beclometasone-17-monopropionate comparisons [B17MP; active metabolite of BDP]), with bioequivalence concluded if the 90% confidence intervals (CIs) of the geometric mean ratios of maximum plasma concentration (Cmax) and area under the plasma concentration-time curve between time zero and the last quantifiable timepoint (AUC0-t) were between 80-125%.

RESULTS: BDP Cmax and AUC0-t were equivalent for the two BDP 200 μg formulations, without (Study 1) and with spacer (Study 2). BDP 100 μg AUC0-t met the bioequivalence criteria, but the Cmax lower 90% CI was marginally below the bioequivalence limit (79.46%). B17MP Cmax and AUC0-t were bioequivalent with both propellants in all three comparisons.

CONCLUSIONS: Overall, bioequivalence was confirmed of HFA-152a and HFA-134a for BDP 200 μg/actuation, with and without a spacer. Although bioequivalence of the two formulations cannot be formally concluded for BDP 100 μg, the minimal difference suggests the two formulations can be considered therapeutically equivalent.

RevDate: 2025-03-16

Yang W, Schmidt C, Wu S, et al (2025)

Exacerbated anthropogenic water pollution under climate change and urbanization.

Water research, 280:123449 pii:S0043-1354(25)00362-8 [Epub ahead of print].

Anthropogenic water pollution severely threatens human society worldwide, yet the water pollution induced by combined sewer overflow (CSO) remains unclear within climate change and urbanization. Hence, this study integrated the general circulation model (GCM) and shared socioeconomic pathway (SSP) projections with water quality modeling, to analyze spatiotemporal patterns and future trends of CSO-induced water pollution under changing environments. Results demonstrated that the given area (Dresden, Germany) encountered significant CSO-induced pollution, with 14,860 kg (95 % confidence interval, CI: 9,040-15,630 kg) of particulate matter (SS), organic compounds (COD, TN, TP), and pharmaceuticals (Carbamazepine, Gabapentin, Ciprofloxacin, Sulfamethoxazole) being discharged annually. Climate change and urbanization exacerbated the severity of CSO-induced pollution, causing the discharged pollutants to reach a maximum annual load of 34,900 kg (CI: 21,400-44,100 kg), with up to 82.19 % of organic compounds and 75.28 % of pharmaceuticals being discharged by the top 25 % of extreme CSOs. GIS-based spatial analysis indicated the regional heterogeneities of CSO-induced pollution, the high-frequency CSOs were predominantly located in highly-impervious areas, while the high-load discharges mainly occurred in densely-populated areas. Scenario analysis revealed stronger temporal variabilities of CSO-induced pollution in the future, with the seasonal anomalies of discharged loads ranging from -86.18 % to 76.89 %. In addition, pharmaceutical pollution exhibited significant uncertainties under changing environments, and the CI of discharged load expanded by up to 131.71 %. The methods and findings herein yielded further insights into water quality management in response to changing environments.

RevDate: 2025-03-18
CmpDate: 2025-03-16

Kürklü A, Pearson S, T Felek (2025)

Climate change impacts on tomato production in high-tech soilless greenhouses in Türki̇ye.

BMC plant biology, 25(1):339.

Climate change and its impact on agricultural production due to the occurrence of extreme weather events appear to be more imminent and severe than ever, presenting a global challenge that necessitates collective efforts to mitigate its effects.There have been many practical and modelling studies so far to estimate the extent of climate change and possible damages on agricultural production, suggesting that water availability may decrease by 50% and agricultural productivity between 10 and 30% in the coming years ahead. Though there have been many studies to estimate the possible level of damage by the climate change on the production of many agricultural crops, no study has been conducted on the greenhouse tomato production. Therefore, this study was conducted to discover the effects of extreme high temperatures during the 2022-2023 growing season on the high-tech Turkish tomato greenhouse industry through a survey. The results showed that all greenhouses lost yield, ranging from 6 to 53%, with an average of 12.5%. Survey data revealed that irrigation and fog system water consumption increased by 29.32% and 31.42%, respectively, while fertilizer and electricity consumption rose by 23.66% and 19%. Some 76.5% of the growers declared difficulty in climate control, 11.7% reported tomato cluster losses with no information on yield loss, 9% experienced yield losses despite no cluster losses, and 61.7% observed a decline in tomato quality, leading to reduced sales prices. Considering these findings, it is recommended that greenhouses must adopt advanced climate control technologies, expand fog system capacities, and integrate renewable energy sources to enhance resilience against climate-induced challenges. Additionally, improving water-use efficiency, optimizing cooling strategies, using new and climate-resistant varieties and adjusting cropping seasons could help mitigate yield losses due to extreme temperatures. The study results offer extremely valuable insights into greenhouse production for researchers, technology developers, and policymakers for the mitigation of climate change effects and the development of more sustainable production systems.

RevDate: 2025-03-15

Wang J, Liu X, Mu X, et al (2025)

Ensemble predictions of high trophic-level fish distribution and species association in response to climate change in the coastal waters of China.

Marine pollution bulletin, 214:117800 pii:S0025-326X(25)00275-9 [Epub ahead of print].

As climate change shifts marine ecosystems, understanding distribution changes of high trophic-level fish is critical for ecological and fisheries management. This study examined the distribution changes of five high trophic-level fish species in China's coastal waters from 1990 to 2023, using species distribution models (SDMs) combined in an ensemble modeling framework to predict future trends under RCP26 and RCP85 scenarios. The ensemble approach integrated multiple SDM algorithms to reduce uncertainty and improve predictive accuracy. The analysis incorporated ecological metrics like niche breadth, niche overlap, and species association indices to assess habitat suitability and interspecies interactions. The ensemble model performed well, particularly for monkfish (Lophius litulon) and whitespotted conger (Conger myriaster), both of which are demersal species. Key environmental factors influencing habitat distribution included bottom water temperature and depth. Under climate change scenarios, the spatial niche breadth of only the largehead hairtail (Trichiurus lepturus) was expected to increase, while the niche breadth of the other species was projected to decrease, especially under high emissions. Fish habitats were predicted to shrink under future climate scenarios, especially under high emissions, with significant losses projected by 2100, ranging from -47 % for the Slender lizardfish (Saurida elongata) to -24 % for the Monkfish, although habitat suitability was expected to improve in southern coastal areas and near the Korean Peninsula. This study emphasizes the profound effects of climate change on the distribution and ecological niches of high trophic-level fish, offering insights for future fisheries management and climate adaptation strategies.

RevDate: 2025-03-18
CmpDate: 2025-03-15

Kumar A, T Mohanasundari (2025)

Assessment of livelihood vulnerability to climate change among tribal communities in Chhindwara and Dhar district, Central India.

Scientific reports, 15(1):8843.

Climate change poses significant challenges to marginalised communities, particularly in regions with highly vulnerable populations like rural and tribal communities. This study aims to assess the livelihood vulnerability of tribal households to climate change impacts in the Chhindwara and Dhar districts in Central India, identifying key determinants and geographical variations in vulnerability. Primary data collection involved a multistage sampling procedure where a household survey was conducted across both districts, yielding a sample size of 535 respondents. The climatic data was collected from the India Meteorological department from 1954 to 2023. This study employs a mixed method, including innovative trend analysis for shifts in climatic patterns, standardised precipitation index-1 (SPI-1) for evaluating wet and dry conditions, LVI-IPCC framework applied using survey data to assess vulnerability, and multiple linear regression (MLR) model to determine the determinants of vulnerability. The results indicate significant changes in rainfall and temperature patterns in both regions, indicating increased vulnerability among tribal communities. SPI-1 analysis highlights the shift in precipitation patterns, with implications for agriculture and water availability. The LVI-IPCC results reveal a moderate level of vulnerability among surveyed households, with Dhar exhibiting higher vulnerability than Chhindwara. Furthermore, LVI-IPCC results were validated using other vulnerability assessment approaches. The MLR analysis highlights the significant influence of key determinants, such as primary income source, extreme weather events, access to safe drinking water, and livelihood strategies, on vulnerability, emphasising the importance of addressing socioeconomic disparities and enhancing adaptive capacity. Integrating primary and secondary data enables an inclusive investigation of vulnerability determinants and geographical variations within the study area. It offers evidence-based policy recommendations for augmenting resilience and encouraging sustainable development among tribal communities facing climate change challenges.

RevDate: 2025-03-14

Anagha KS, J Kuttippurath (2025)

Surface ozone pollution-driven risks for the yield of major food crops under future climate change scenarios in India.

Environmental research pii:S0013-9351(25)00641-3 [Epub ahead of print].

This study provides a comprehensive assessment of surface ozone (SurfO3) evolution in India under the future shared socio-economic pathway scenarios (SSPs) of the Coupled Model Intercomparison Project phase-6 (CMIP6), and its implications for changes in relative yield loss (RYL) of wheat, rice and maize. Scenarios with insufficient efforts to reduce the emission of precursors (e.g. SSP3-7.0) lead to significant increases in RYL (∼20% for wheat and ∼7% for rice and maize) post-2050. Conversely, SSP1-2.6 and SSP2-4.5 help to minimise RYL by controlling emissions. Accumulated ozone above a threshold of 40 (AOT40) in the growth stages of crops may surpass safer limits (3 ppm.h) by six-fold in the Indo-Gangetic Plain (IGP) for rice and maize, and in Central India for wheat in the SSP3-7.0 and SSP5-8.5 scenarios. Furthermore, climate penalty on SurfO3 is observed in rabi (winter, December-February) and post-kharif (post-monsoon, October-November) seasons, whereas kharif (summer, June-September) shows climate benefit in one model. Positive trends in climate penalties are observed in IGP during most seasons and in Central India during post-kharif and rabi. Wheat is most sensitive to emission pathways with high variability, while rice shows more stable projections. Maize exhibits a mix of resilience and growing uncertainty under high emission scenarios. Undoubtedly, comprehensive strategies are required for crop yield enhancement, including stringent air pollution regulations, widespread adoption of clean energy, land use management and advancements in low-emission agricultural practices. Safeguarding agriculture productivity requires coordinated efforts to manage air quality and climate, ensuring a transition away from pathways like SSP3-7.0 and toward more sustainable, low-emission futures. Furthermore, efforts to address SurfO3-induced crop yield losses in India are vital for informing strategies to ensure global food security.

RevDate: 2025-03-14

Sikdar D, Shahir A, S Mandal (2025)

Evaluating the global sea snake diversity and distribution under climate change scenario.

Marine environmental research, 207:107055 pii:S0141-1136(25)00112-6 [Epub ahead of print].

Anthropogenically accelerated climate change has wreaked havoc on marine ecosystems, particularly affecting marine reptiles such as sea snakes. These reptiles are highly sensitive to climate change induced coral reef degradation and environmental fluctuations, leading to habitat expansion and increased human-sea snake interactions. Despite this, till date no comprehensive investigation of global sea snake diversity and distribution has been conducted. In this study, we used MaxEnt Species Distribution Modelling (SDM) to assess effects of climate change on sea snake distribution from 1993 to 2024. This analysis integrates occurrence data sourced from exhaustive literature reviews and biogeographic databases with environmental predictors like seawater temperature, salinity, and chlorophyll a concentration. The study identifies 74 species across 11 genera and 3 families. Among 14 biogeographic habitats examined, the South Pacific and Indian Oceans exhibit highest species richness, while the Atlantic Ocean shows the lowest. Notably, species in the Bay of Bengal and Arafura Sea demonstrate significant taxonomic distinctness. Furthermore, our findings reveal a substantial expansion of sea snake habitats from equatorial to temperate regions, primarily driven by increase in seawater temperature. Optimal habitat suitability is associated with temperatures of approximately 30 °C, chlorophyll a concentration of around 0.3 mg m[-3], and salinity levels between 35 and 40 g L[-1]. These insights into sea snake diversity and distributional shifts induced by global climate change are critical for formulating evidence-based management strategies, including implementation of sustainable fishing practices, preservation of critical habitats, and establishment of rigorous bycatch mitigation protocols to ensure conservation of these ecologically significant marine reptiles.

RevDate: 2025-03-18

Meo SA, Shafi KM, A Hussain (2025)

The psychological cost of climate change: anxiety among adolescents and young adults - a cross-sectional study.

Frontiers in psychiatry, 16:1422338.

OBJECTIVES: Climate change is an undeniable reality that has never before been experienced at such a higher scale of social, physical, and mental levels. Its impact has been studied at environmental, health, economic and sustainable survival levels, but the toll that it takes on the mind, especially among the youth, needs further studies to highlight the impact. Therefore, this study aimed to investigate the impact of climate change on anxiety among adolescents and young adults in the Global South.

METHODS: This questionnaire-based cross-sectional survey was conducted among students from all levels of education in the Global South. A total of 760 respondents including 202 from schools, 158 from colleges, and 400 from degree-awarding institutes and universities, (200 were undergraduates and 200 were graduates) voluntarily participated in the study. Based on their age and gender distribution, the average age was 18.56 years, 363 (47.7%) were males, and 397 (52.3%) were females. The Hogg Eco-Anxiety Scale (HEAS) was used to investigate the level of ecological anxiety among the youth in the Global South. The three categories of anxiety symptoms in terms of affective symptoms, behavioural symptoms, and personal impact were investigated.

RESULTS: The results revealed that the affective symptom shows a moderate positive and statistically significant relationship with age, higher the age higher the affective symptom of anxiety. The impact of income on affective symptoms, the respondents with a higher income have the highest mean (M=1.61), the higher the income the higher the affective symptoms of anxiety. To assess the difference in the anxiety symptoms based on the education level of respondents, the highest mean value was found among those with graduate (M=1.78), followed by college (M=.88), university (M=.83) and school (M=.82), which means that the highest affective symptoms are faced by graduate students.

CONCLUSIONS: The results show a moderate positive and statistically significant relationship between age and income on anxiety symptoms, the higher the age and income higher the affective symptom of anxiety. The youth of the global south feel little anxiety due to climate change; this is detrimental and needs urgent remedial measures. To combat climate change requires a multi-pronged approach, with solutions ranging from personal responsibilities and actions to large-scale systemic changes to tackle this critical challenge.

RevDate: 2025-03-14
CmpDate: 2025-03-14

Banerjee A, Verma U, Lewis MT, et al (2025)

Two species competition with a "non-smooth" Allee mechanism: applications to soybean aphid population dynamics under climate change.

Mathematical biosciences and engineering : MBE, 22(3):604-651.

The soybean aphid (Aphis glycines) is an invasive insect pest that continues to cause large-scale damage to soybean crops in the North Central United States. Recent empirical evidence points to differential fitness in the pestiferous aphid biotypes under abiotic stresses such as flooding. As climate change predicts increased flooding in the North Central United States, mathematical models that incorporate such factors are required to better inform pest management strategies. Motivated by these empirical results, we considered the effect of non-smooth Allee type mechanisms, for the two species Lotka-Volterra competition model. We showed that this mechanism can alter classical competitive dynamics in both the ordinary differential equation (ODE) as well as the spatially explicit setting. In particular, an Allee effect present in the weaker competitor could lead to bi-stability dynamics, as well as competitive exclusion reversal. We discuss applications of our results to pest management strategies for soybean aphids in the context of a changing climate.

RevDate: 2025-03-14

Shimwela N, L Katera (2025)

Strengthening Link between National Adaptation Plans (NAPs), Sector Policies and National Development Plans: Implications for Climate Change Governance.

Environmental management [Epub ahead of print].

Climate change alignment across national climate change adaptation planning frameworks, sector policies and national development plans is a crucial component of climate change governance and supports synergy that contributes greater effectiveness and efficiency in addressing the impacts of climate change. However, studies that assess climate change coherence between national climate change adaptation planning frameworks and policy frameworks have been inadequate. This study intended to understand the extent of climate change coherence across national climate change adaptation planning frameworks, sector policies and national development plans in Tanzania. A mixed research design employing sequential methods was adopted. Both primary and secondary data was used. Primary data were collected through interviews with key policy experts from government ministries and climate change focal point authorities. Secondary data was collected through a content review of sector policies, national development plans and climate change adaptation planning documents. Purposive sampling was used to select key informants and policy documents. Qualitative content analysis was used to assess text data using a scoring matrix to generate descriptive information. The descriptive information was further standardised using percentages for each sector as well as the percentage score for the overall plans. The findings revealed a weak alignment between national development plans and national climate change response strategies that were attributed to weak alignment between sector policies. However, the study found a moderate extent of climate change consideration in national development plans. Consequently, the study recommended strategies to strengthen the alignment between national climate change response strategies, sector policies and national development plans.

RevDate: 2025-03-13

Omary RA, DiLullo J, Estrampes C, et al (2025)

Partnerships Between Radiology and Industry Are Essential to Address Climate Change.

Journal of the American College of Radiology : JACR pii:S1546-1440(25)00154-1 [Epub ahead of print].

Radiology and industry partnerships are essential to scale environmentally sustainable practices that will protect the health of current and future generations.

RevDate: 2025-03-13

Mou W, Jin C, Hu S, et al (2025)

Human activities affect the future suitability of alien urban landscape species in China under climate change.

Journal of environmental management, 380:124899 pii:S0301-4797(25)00875-8 [Epub ahead of print].

Ecologists have paid considerable attention to the adaptation and distribution of urban landscape species in China amid rapid urbanization and climate change, given the essential role of urban species in human activities, urban planning, and sustainable development. However, existing studies primarily concentrate on the effects of climate change on the distribution of native species, creating a research gap regarding alien species. We compiled 5261 distribution data points for 538 alien woody landscape species (WLS) (non-native to China) from 179 cities with populations over one million in China and utilized the MaxEnt model to assess the future distribution and migration patterns of 27 most commonly introduced evergreen broad-leaved, evergreen coniferous, and deciduous broad-leaved species under present, 2041-2060, and 2081-2100 periods according to the Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 climate scenarios. The results indicated that deciduous broad-leaved species were widely distributed in Southwest China, East China, Central China and North China regions, had a broad climate niche and greater adaptability to climate change, while the suitable area of evergreen species were expected to be lower than that of the present stage after 2100. The preserved suitable areas of evergreen species were mainly concentrated in the East China and Central China regions, and the lost suitable areas of evergreen coniferous species were in South China and southern East China regions. We also noted that human activities were the most important factor influencing the species distribution, not only in terms of the differences in suitable areas, but also the spatial diversity patterns. Our study revealed the future distribution patterns of three vegetation types and highlighted the importance of preventing the transformation of alien WLS into invasive species, which can provide valuable guidance for urban planning and development.

RevDate: 2025-03-13

Ziska LH (2025)

The Impact of Climate Change on Plant Physiology and Human Health.

Physiology (Bethesda, Md.) [Epub ahead of print].

There is a fundamental need to consider plant physiology in relation to human health as it encompasses a number of often overlooked issues, from plant based medicines, to nutrition. The goal here is to provide a historical narrative of plant physiological and biological responses to rising CO2 and climate variability while addressing current controversies. Finally a "next steps" overview of current links between plants and human health, and crucial, unmet research needs.

RevDate: 2025-03-13

Montoro J, Antolín-Amérigo D, Izquierdo-Domínguez A, et al (2025)

Climate Change-Associated Environmental Factors and Pollutants: Impact on Allergic Diseases, Epidemiology, Severity, and Health Care Burden.

Journal of investigational allergology & clinical immunology [Epub ahead of print].

BACKGROUND: Allergic diseases affect up to 40% of adults worldwide, a percentage that is increasing with environmental changes related to global warming.

METHODS: A systematic review of the literature was performed to identify and evaluate current evidence of the effect of climate change-related environmental factors on the prevalence, incidence, and severity of allergic diseases in terms of the impact on patients with allergy. PECO criteria for 2 research questions were established and guided the literature searches of the PubMed and Cochrane databases (January 1, 2016 to December 31, 2021). Study outcomes were categorized and grouped to facilitate data synthesis. Outcomes were classified as significant (P<.05), nonsignificant (P>.05), or undetermined (P value not reported).

RESULTS: Assessment of the 2 questions enabled us to identify 609 publications. Of these, 96 were assessed for eligibility and 42 provided data. Environmental factors, including the presence of pollutants, influenced patients' conditions in terms of effects on allergy, exposure to allergen(s), and the immune system. The pollutants most frequently reported to have an impact were nitrogen dioxide (NO2) and particles <2.5 μm in diameter. The allergic diseases most frequently reported to be affected by environmental factors were respiratory disease (asthma and rhinitis) and atopic dermatitis, with an impact on epidemiology and health care burden.

CONCLUSION: Environmental pollution increased the frequency and health care burden of allergic diseases. The effect of environmental pollution was predominantly caused by pollutants such as NO2 and particles <2.5 μm in diameter and was observed across allergic diseases, including respiratory disease (asthma and rhinitis) and atopic dermatitis.

RevDate: 2025-03-13
CmpDate: 2025-03-13

Rao S, Gutzkow KB, Hyllestad S, et al (2025)

Climate change and health in the Arctic.

Scandinavian journal of public health, 53(2):207-214.

AIM: Adverse human-driven environmental change, including the climate, is having an increasing impact on the Arctic environment and its ecosystems. There has been immense interest in understanding the health risks related to climate change in the Arctic region. In this article, we review recent evidence related to climate change and its impacts on the health of the Arctic population.

METHODS: We summarize current evidence related to primary, secondary and tertiary health effects in the Arctic. We explore a broad range of effects on health including increased exposure to extreme weather, impacts from changes in water quality, air quality, contaminant exposure, food systems and patterns of infectious diseases. We also briefly discuss mental health effects in the Arctic. We conclude by examining further challenges and opportunities for research in this field and advocate the need for adaptation options in the Arctic.

RESULTS: We find that there is a large amount of literature that is focusing on the human health effects in the Arctic but there are still research gaps in terms of understanding these compared with those at lower latitudes. We point out the need for filling several of these knowledge gaps to project future health effects of climate change in the Arctic.

CONCLUSIONS: There is a need for integrated adaptation strategies in the Arctic that fully account for the health impacts and consider indigenous perspectives.

RevDate: 2025-03-16

Hurlstone MJ, White B, BR Newell (2025)

Threshold uncertainty, early warning signals and the prevention of dangerous climate change.

Royal Society open science, 12(3):240425.

The goal of the Paris Agreement is to keep global temperature rise well below 2°C. In this agreement-and its antecedents negotiated in Copenhagen and Cancun-the fear of crossing a dangerous climate threshold is supposed to serve as the catalyst for cooperation among countries. However, there are deep uncertainties about the location of the threshold for dangerous climate change, and recent evidence indicates this threshold uncertainty is a major impediment to collective action. Early warning signals of approaching climate thresholds are a potential remedy to this threshold uncertainty problem, and initial experimental evidence suggests such early detection systems may improve the prospects of cooperation. Here, we provide a direct experimental assessment of this early warning signal hypothesis. Using a catastrophe avoidance game, we show that large initial-and subsequently unreduced-threshold uncertainty undermines cooperation, consistent with earlier studies. An early warning signal that reduced uncertainty to within 10% (but not 30%) of the threshold value catalysed cooperation and reduced the probability of catastrophe occurring, albeit not reliably so. Our findings suggest early warning signals can trigger action to avoid a dangerous threshold, but additional mechanisms may be required to foster the cooperation needed to ensure the threshold is not breached.

RevDate: 2025-03-14

Aborode AT, Otorkpa OJ, Abdullateef AO, et al (2025)

Impact of Climate Change-Induced Flooding Water Related Diseases and Malnutrition in Borno State, Nigeria: A Public Health Crisis.

Environmental health insights, 19:11786302251321683.

Climate change-induced flooding has caused public health crises in Borno State, Nigeria, which influence the increase of waterborne diseases and malnutrition. Flooding disrupts water and sanitation systems, creating breeding grounds for waterborne diseases such as cholera, malaria, and diarrheal illnesses. The displacement of communities and destruction of agricultural infrastructure due to flooding further increase food insecurity, leading to malnutrition. This paper examines the interplay between flooding, waterborne diseases, and malnutrition in Borno State, highlighting the urgent need for climate adaptation strategies and strengthened healthcare systems to mitigate these public health challenges. Additionally, it highlights the double burden of conflict and climate change where ongoing conflicts impede efforts to mitigate and adapt to climate change. Finally, this paper outlines the socio-economic impacts of flooding and proposes interventions to mitigate the effects of flooding.

RevDate: 2025-03-14

Fordham DA (2024)

Identifying species traits that predict vulnerability to climate change.

Cambridge prisms. Extinction, 2:e21.

Accurately predicting the vulnerabilities of species to climate change requires a more detailed understanding of the functional and life-history traits that make some species more susceptible to declines and extinctions in shifting climates. This is because existing trait-based correlates of extinction risk from climate and environmental disturbances vary widely, often being idiosyncratic and context dependent. A powerful solution is to analyse the growing volume of biological data on changes in species ranges and abundances using process-explicit ecological models that run at fine temporal and spatial scales and across large geographical extents. These simulation-based approaches can unpack complex interactions between species' traits and climate and other threats. This enables species-responses to climatic change to be contextualised and integrated into future biodiversity projections and to be used to formulate and assess conservation policy goals. By providing a more complete understanding of the traits and contexts that regulate different responses of species to climate change, these process-driven approaches are likely to result in more certain predictions of the species that are most vulnerable to climate change.

RevDate: 2025-03-15

Lin T, M Meegaskumbura (2025)

Fish MicroRNA Responses to Thermal Stress: Insights and Implications for Aquaculture and Conservation Amid Global Warming.

Animals : an open access journal from MDPI, 15(5):.

In the context of global warming, heat tolerance is becoming a crucial physiological trait influencing fish species' distribution and survival. While our understanding of fish heat tolerance and stress has expanded from behavioral studies to transcriptomic analyses, knowledge at the transcriptomic level is still limited. Recently, the highly conserved microRNAs (miRNAs) have provided new insights into the molecular mechanisms of heat stress in fish. This review systematically examines current research across three main reference databases to elucidate the universal responses and mechanisms of fish miRNAs under heat stress. Our initial screening of 569 articles identified 13 target papers for comprehensive analysis. Among these, at least 214 differentially expressed miRNAs (DEMs) were found, with 15 DEMs appearing in at least two studies (12 were upregulated and 13 were downregulated). The 15 recurrent DEMs were analyzed using DIANA mirPath v.3 and the microT-CDS v5.0 database to identify potential target genes. The results suggest that multiple miRNAs target various genes, forming a complex network that regulates glucose and energy metabolism, maintains homeostasis, and modulates inflammation and immune responses. Significantly, miR-1, miR-122, let-7a, and miR-30b were consistently differentially expressed in multiple studies, indicating their potential relevance in heat stress responses. However, these miRNAs should not be considered definitive biomarkers without further validation. Future research should focus on experimentally confirming their regulatory roles through functional assays, conducting transcriptomic comparisons across different species, and performing target validation studies. These miRNAs, conserved across species, could be valuable for monitoring wild fish health, enhancing aquaculture breeding, and guiding conservation strategies. However, the specific regulatory mechanisms of these miRNAs need clarification to confirm their reliability as biomarkers for thermal stress.

RevDate: 2025-03-12

Burbank AJ, Penrice AJ, Rorie AC, et al (2025)

Climate Change and Allergens: Current and Future Impacts.

The journal of allergy and clinical immunology. In practice pii:S2213-2198(25)00212-0 [Epub ahead of print].

Climate change will continue to impact allergic diseases in direct and indirect ways. Rising global temperatures are contributing to increased duration of pollen seasons, altered aeroallergen production and potency of allergens, and changes in the geographic distribution of allergenic plants that drive increased human exposure to aeroallergens and increased allergic disease morbidity. Climate change is inextricably linked with air pollution, the latter of which was shown to act as an adjuvant for allergic inflammatory processes promoting allergic sensitization. Pollutant exposure is also linked with higher prevalence of childhood asthma and exacerbation of existing asthma and allergic disease. Increased exposure, or co-exposure, to aeroallergens and air pollution as a result of climate change will result in higher rates of sensitization and incident allergic disease remains uncertain. Vulnerable populations, including children, the elderly, and marginalized groups, are likely to be disproportionately affected. This review summarizes the current knowledge of the effects of climate change on aeroallergens, and by extension, allergic disease. Addressing these health challenges requires a comprehensive understanding of the interaction between climate change, allergens, pollution and public health, alongside proactive measures to mitigate these effects.

RevDate: 2025-03-12

Nong X, Tang R, Chen L, et al (2025)

Contribution identification of climate change and hydro-project operation for dammed-river water level responses: A sixty-year observation study of Hanjiang River.

Journal of environmental management, 380:124712 pii:S0301-4797(25)00688-7 [Epub ahead of print].

Understanding the patterns of hydrological responses and identifying the driving factors under the combined influences of hydro-engineering and climate change is crucial for optimizing the utilization of surface water resources. This study focuses on the middle and lower reaches of the Hanjiang River (MLHR), using long-term monthly monitoring hydro-climatic data (1964-2022) from 10 national hydrometeorological stations. Integrated statistical approaches, including the Mann-Kendall (M-K) test, Standard Normal Homogeneity Test (SNHT), Worsley Likelihood Ratio Test (WLRT), and Empirical Orthogonal Function (EOF) analysis, were applied to systematically analyze the spatiotemporal characteristics of water levels and the quantitative contributions of various factors in the MLHR. The results demonstrate that, since the 1960s, significant downward trends in water levels have been observed at most of monitoring stations in the MLHR, and mutation points occurring at all stations except only one station. Fluctuations in water levels due to climatic factors such as precipitation and temperature are short-term and show relatively low correlations. The average water levels increased with mutation points emerging midstream of the Hanjiang River, primarily due to the influence of reservoir operations, while the water level at the lower reaches of the Hanjiang River exhibited a sustained decrease under similar influences. This study verified that water level variation in the MLHR is primarily attributed to hydro-engineering operations rather than climatic factors. By comprehensively evaluating the long-term trends in water level changes and quantitatively assessing the combined contributions of the operation of cascade reservoirs and climate change, this research provides valuable scientific evidence and practical guidance for managing river water resources.

RevDate: 2025-03-12

Halpin DMG, Balmes J, Han MK, et al (2025)

Climate Change & COPD: A GOLD Science Committee Review.

American journal of respiratory and critical care medicine [Epub ahead of print].

RevDate: 2025-03-15
CmpDate: 2025-03-12

Anjum G, M Aziz (2025)

Climate change and gendered vulnerability: A systematic review of women's health.

Women's health (London, England), 21:17455057251323645.

BACKGROUND: Climate change is an urgent global threat, with women in low- and middle-income countries (LMICs) disproportionately facing adverse health outcomes. Gendered roles, combined with socioeconomic, cultural, and environmental factors, exacerbate women's vulnerabilities, increasing the burden of mental health issues, water insecurity, sanitation challenges, and caregiving responsibilities.

OBJECTIVES: This review seeks to systematically examine the intersection between climate change and gendered health vulnerabilities, with a particular focus on women. It explores how climate change intensifies gender-specific risks and identifies pathways for integrating gender-responsive policies to mitigate both short- and long-term health impacts.

DESIGN: Following Arksey and O'Malley's methodological framework, this systematic review mapped key concepts and evidence from studies conducted between January 2011 and January 2024. The review focuses on identifying the multifaceted health impacts of climate change on women, particularly in LMICs and marginalized communities.

DATA SOURCES AND METHODS: A systematic search was conducted in Web of Science and Scopus databases using key terms and Medical Subject Headings related to climate change, women's health, gender inequality, mental health, water security, sanitation, and caregiving burdens. Studies were screened and selected based on relevance to the predefined criteria, with data extracted on study design, key findings, and limitations.

RESULTS: From 2163 citations screened, 61 studies were included in the final analysis. The review highlights that climate change disproportionately affects women, exacerbating pre-existing gender inequalities. Specific impacts include heightened mental health challenges, adverse maternal and newborn health outcomes, increased water insecurity, and an intensified caregiving burden. Women in LMICs are particularly vulnerable due to reduced access to resources, healthcare, and decision-making platforms, further limiting their adaptive capacities.

CONCLUSION: The findings underscore the critical need for gender-responsive climate policies that address both immediate health impacts and the broader socioeconomic and environmental determinants affecting women. Effective climate adaptation strategies must integrate gender perspectives, ensuring that women's specific vulnerabilities are accounted for in policy frameworks. This review advocates for the empowerment of women through increased access to resources and decision-making, thus enhancing their resilience and adaptive capacity in the face of climate change.

RevDate: 2025-03-12

Bulut M, Karakas E, AR Fernie (2025)

Adjustments of plant primary metabolism in the face of climate change.

Journal of experimental botany pii:8071577 [Epub ahead of print].

Plant metabolism is profoundly affected by various abiotic stresses. Consequently, plants must reconfigure their metabolic networks to sustain homeostasis while synthesizing compounds that mitigate stress. This aspect, with the current intensified climate impact results in more frequent abiotic stresses on a global scale. Advances in metabolomics and systems biology in the last decades have enabled both a comprehensive overview and a detailed analysis of key components involved in the plant metabolic response to abiotic stresses. This review addresses metabolic responses to altered atmospheric CO2 and O3, water deficit, temperature extremes, light intensity fluctuations including the importance of UV-B, ionic imbalance, and oxidative stress predicted to be caused by climate change, long-term shifts in temperatures and weather patterns. It also assesses both the commonalities and specificities of metabolic responses to diverse abiotic stresses, drawing on data from the literature. Classical stress-related metabolites such as proline, and polyamines are revisited, with an emphasis on the critical role of branched-chain amino acid metabolism under stress conditions. Finally, where possible, mechanistic insights into the regulation of metabolic processes and further outlook on combinatory stresses are discussed.

RevDate: 2025-03-12

Anonymous (2025)

Correction to "The Influence of Climate Change on the Potential Distribution of Ageratum conyzoides in China".

Ecology and evolution, 15(3):e70895 pii:ECE370895.

[This corrects the article DOI: 10.1002/ece3.11513.].

RevDate: 2025-03-12

Atalay-Şahar E, Yildiz-Ozturk E, Özgür S, et al (2025)

Novel Approach Methodologies in Modeling Complex Bioaerosol Exposure in Asthma and Allergic Rhinitis Under Climate Change.

Expert reviews in molecular medicine pii:S1462399425000079 [Epub ahead of print].

RevDate: 2025-03-14
CmpDate: 2025-03-12

Zhang H, Hu Z, Chen X, et al (2025)

Global Greening Major Contributed by Climate Change With More Than Two Times Rate Against the History Period During the 21th Century.

Global change biology, 31(3):e70126.

Future variations of global vegetation are of paramount importance for the socio-ecological systems. However, up to now, it is still difficult to develop an approach to project the global vegetation considering the spatial heterogeneities from vegetation, climate factors, and models. Therefore, this study first proposes a novel model framework named GGMAOC (grid-by-grid; multi-algorithms; optimal combination) to construct an optimal model using six algorithms (i.e., LR: linear regression; SVR: support vector regression; RF: random forest; CNN: convolutional neural network; and LSTM: long short-term memory; transformer) based on five climatic factors (i.e., Tmp: temperature; Pre: precipitation; ET: evapotranspiration, SM: soil moisture, and CO2). The optimal model is employed to project the future changes in leaf area index (LAI) for the global and four sub-regions: the high-latitude northern hemisphere (NH), the mid-latitude NH, the tropics, and the mid-latitude southern hemisphere. Our results indicate that global LAI will continue to increase, with the greening rate expanding to 2.25 times in high-latitude NH by 2100 against the 1982-2014 period. Moreover, RF shows strong applicability in the global and NH models. In this study, we introduce an innovative model GGMAOC, which provides a new optimal model scheme for environmental and geoscientific research.

RevDate: 2025-03-14

Fernandes S, P Ranjan (2025)

COP30 must deliver binding mechanisms to address climate change, not empty promises.

Nature, 639(8054):306.

RevDate: 2025-03-14
CmpDate: 2025-03-12

Khurshid N, AM Gohar (2025)

Integrated analysis of local agricultural practices, community-led interventions, and climate change impacts on food insecurity in rural Azad Kashmir.

Scientific reports, 15(1):8375.

Food insecurity impacts 2.3 billion individuals worldwide, with the Asia-Pacific region representing more than 50% of the global undernourished population. In Pakistan, approximately 37% of the population experiences food insecurity, with rural Azad Jammu and Kashmir (AJK) exhibiting concerning rates of stunting, wasting, and overweight individuals. This research examines the correlation between food insecurity, household factors, agricultural practices, and climate change in rural AJK. Data were collected from 470 respondents via a self-administered questionnaire utilizing convenience sampling, and Structural Equation Modeling (SEM) was applied for analysis. Household size, gender, income, education, and climate change influence food insecurity significantly. An increase of one person in household size is associated with a 0.499-unit rise in food insecurity, whereas a one-unit increase in income results in a 0.582-unit reduction. Females exhibit greater levels of food insecurity compared to males, while educational attainment is associated with a reduction in food insecurity. Furthermore, the implementation of sustainable agricultural practices mitigates food insecurity, whereas climate change intensifies it. The findings highlight the necessity for targeted interventions that address the specific challenges faced by rural AJK, particularly about climate-resilient agricultural practices and sustainable livelihoods.

RevDate: 2025-03-11

Yang S, Park HS, Kwon BO, et al (2025)

Assessing the contribution of Tidal Flats to climate change and carbon neutrality through modeling approaches.

Marine environmental research, 207:107067 pii:S0141-1136(25)00124-2 [Epub ahead of print].

Tidal coastal ecosystems show promising potential as natural carbon sinks in mitigating climate change. Under the combined effect of carbon deposition, capturing, converting, and storing atmospheric CO2 into coastal sediments over a long period, tidal flats are of great significance to the ecology. In addition to preventing coastal erosion, the organic carbon buried in tidal flats should play an important role in mitigating climate change and achieving the carbon neutrality target. However, although the growing interest in tidal flat carbon has prompted studies to estimate carbon stocks at the global level in general and Korea in particular, comprehensive assessments of the role of carbon stocks in climate change have yet to be made. Therefore, the present study aims to quantify and simulate organic carbon stocks in tidal flats habitats of the Korean coast through a carbon balance model, thereby assessing their role in climate change and carbon neutrality. Biomass vegetation, meteorological, and sedimentary data up to 70 cm depth were sampled from 37 sites representing tidal flats along the Korean coast and then applied to the model to simulate the carbon sequestration rate as well as to provide predictions of sediment carbon stocks until 2050. The study revealed that the average total organic carbon (TOC) storage in vegetated and non-vegetated tidal flats reach 53.41 Mg C ha[-1] and 45.48 Mg C ha[-1] up to a depth of 70 cm in 2050, respectively, of which vegetation on the ground accounts for 3.06 ± 3.01 MgC.ha[-1]. Carbon mass is found to increase linearly over time in nearly all areas studied, with carbon sequestration rates ranging from 0.037 to 0.71 (MgC ha[- 1] yr[- 1]). The Korean tidal flats contain 11,200,000 MgC (∼4.13 × 10[7] tCO2 eq) of organic carbon (70 cm depth). This clearly reflects their potential for inclusion in the Nationally Determined Contribution (NDC) under the Paris Agreement. Model simulation result indicated that the topsoil carbon mass of Tidal Flats in the year 2050 could contribute 7.64 × 10[6] tons CO2eq towards the "2050 carbon neutral strategy of the Republic of Korea". The findings of this study shall strengthen the knowledge base regarding Korea's Tidal flat carbon stocks as well as their potential role in mitigating climate change and contributing to future carbon neutrality goals.

RevDate: 2025-03-11

Richard-Greenblatt M, Omosule CL, Owusu Agyare B, et al (2025)

The Impact of Climate Change on Laboratory Medicine: A Global Health Perspective.

Clinical chemistry pii:8069773 [Epub ahead of print].

RevDate: 2025-03-12

Oyinlola MA, Khorsandi M, Penman R, et al (2025)

Assessing the impact of climate change and a water management programme on white sturgeon physiology in the Nechako River, British Columbia.

Conservation physiology, 13(1):coaf014.

Climate change is impacting river ecosystems, underlining the need for water management strategies to protect native species within these ecosystems. Here, we evaluate the impact of climate change and water management on the physiology of white sturgeon (Acipenser transmontanus) in the Nechako River, British Columbia (Canada). Using the CEQUEAU hydrological-thermal model, we simulated daily water temperatures from 1980 to 2099 under two climate scenarios (SSP2-4.5 and SSP5-8.5). We assessed thermal exposure risk (Te) for different developmental stages of white sturgeon, focusing on the warmest 6-month period. Our findings show that embryos and yolk-sac larvae exhibit resilience, with Te values consistently <1 under both scenarios, signifying low thermal stress. In contrast, feeding larvae and juveniles experience elevated Te values, indicating significant future thermal stress. For feeding larvae, Te values exceeded 1 under both scenarios, reaching up to 1.5 by the mid-century (2050s) and up to 1.8 by the end of the century (2090s) under SSP5-8.5. Juvenile white sturgeon also faced increased thermal risks, with Te values rising >1 during July and August, reaching 1.4 and 1.8 by the 2050s and 1.8 and 2.0 by the 2090s under SSP5-8.5, compared to the 1980s. These results underscore the need to evaluate the existing water management programme to better accommodate the projected changes in thermal conditions associated with climate change. Additionally, regulated river discharge, which can both increase and decrease downstream temperatures, offers a strategic opportunity to mitigate some climate impacts through strategic dam discharge management.

RevDate: 2025-03-13

Favero A, Baker J, Sohngen B, et al (2025)

Investing in U.S. forests to mitigate climate change.

Carbon balance and management, 20(1):4.

In recent years several U.S. federal policies have been adopted to support forest-based climate mitigation actions. This study focuses on current federal funds allocated to forest for climate change mitigation activities to assess how much they could deliver in terms of net sequestration under a best-case (optimized) scenario where the cheapest abatement options are implemented first and if these funds are in line to achieve domestic targets for 2030 and 2050. Multiple investments pathways are tested under two different assumptions on CO2 fertilization to provide a range of future mitigation projections from forests. Results show that under annual investments in line with current federal funds (around $640 million), the expected net carbon flux of U.S. forests is around 745 MtCO2/yr in 2030 (+ 12% increase from baseline) and if the investments expand after 2030 the net flux is expected to be 786 MtCO2/yr in 2050 (+ 17% increase from baseline). When CO2 fertilization is accounted for, the projections of net forest carbon sequestration increase by 17% in 2030 and about 1 GtCO2 net sequestration achieved under federal funds in 2050, increasing the likelihood of meeting both short-term and long-term domestic targets.

RevDate: 2025-03-10
CmpDate: 2025-03-10

Yan Y, Liu Z, Chen L, et al (2025)

Earth greening and climate change reshaping the patterns of terrestrial water sinks and sources.

Proceedings of the National Academy of Sciences of the United States of America, 122(11):e2410881122.

While vegetation brings positive benefits for climate mitigation and adaptation, the impact of ongoing global greening remains controversial due to its uncertain effects on hydrological cycle. Here, we quantitatively assess the impact of vegetation dynamics on global water availability by proposing a comprehensive framework to quantify the terrestrial water sink and source scores associated with vegetation dynamics. These scores serve as indicators of whether large alterations in water resources have occurred in the lands due to either the greening or degradation of surface vegetation. We use multisource datasets from climate model projections, remote sensing, and local measurements to examine the impact of vegetation dynamics on water availability over the periods of 1982 to 2019 and 2015 to 2100. During historical observation periods, regions such as India and northern China experienced large depletion of water resources as a result of vegetation greening, leading to water scarcity. In the future, a shift is projected for India and northern China, transforming them into regions capable of meeting water demands arising from vegetation greening. This transition is largely attributed to wetting and warming climates. It indicates that trade-off effects between climate and underlying vegetation dynamics may result in strengthening regional hydrological resilience and ensuring the stable status of local water resources. Furthermore, tropical rainforests (except for the Amazon Rainforest) are experiencing greening with minimal impact on local water resources consistently. These insights are valuable for globally identifying optimal locations to implement ecological restoration, facilitating the balance of sustainable water resources and vegetation greening.

RevDate: 2025-03-10

Khan A, Berenji M, Cloeren M, et al (2025)

The Imperative to Incorporate Climate Change Competencies into Occupational and Environmental Medicine Training to Safeguard Worker Health.

Journal of occupational and environmental medicine pii:00043764-990000000-00778 [Epub ahead of print].

OBJECTIVES: Identify relevant gaps and suggest modifications to OEM Graduate Medical Education to increase knowledge about potential climate change impacts, teach practical skills, and promote relevant actions to protect workers.

METHODS: ACOEM competencies were aligned to the Global Consortium on Climate and Health Education (GCCHE) physician competencies. ACGME OEM milestones were re-examined using a milestone curricular guide based on the peer-reviewed GCCHE competencies.

RESULTS: Climate-change related OEM knowledge and skills are proposed for each OEM core competency domain. Nine residency milestones mapped to the ten ACOEM core competencies are highlighted by incorporating a climate-related activity along with a call to action.

CONCLUSION: OEM training already provides more climate-relevant content than other specialties. Nonetheless, OEM residents need more climate change education to help employers, workers, and their communities to anticipate, mitigate, and adapt to climate change.

RevDate: 2025-03-10

Hess JJ, KL Ebi (2025)

An Evidence-Based Approach to Climate Change and Health.

JAMA pii:2831274 [Epub ahead of print].

RevDate: 2025-03-12

Anonymous (2025)

Correction to: Chromosome-Level Genome Assembly and Annotation of Corallium rubrum: A Mediterranean Coral Threatened by Overharvesting and Climate Change.

Genome biology and evolution, 17(3):.

RevDate: 2025-03-10

Lustig AR, Crimmins AR, Snyder MO, et al (2025)

Bringing art and science together to address climate change.

Climatic change, 178(3):47.

Art x Climate was the first-ever gallery of visual art to be included in the National Climate Assessment. This letter outlines the purpose and process of Art x Climate and highlights three Art x Climate artists and their work. The letter concludes with lessons learned from this project: the need for cross-disciplinary respect among the arts and sciences, the wide range of themes and artworks centered around climate change, and the ability of art to facilitate new collaborations and bring more people into the climate change conversation.

RevDate: 2025-03-11

Etongo D, Bristol U, Cetoupe D, et al (2025)

Integrating disaster risk reduction and climate change adaptation in Seychelles: Challenges and proposed strategies.

Jamba (Potchefstroom, South Africa), 17(2):1808.

UNLABELLED: Integrating disaster risk reduction (DRR) and climate change adaptation (CCA) has gained traction among scientists and development practitioners, given their complementary benefits of reducing vulnerabilities and enhancing the resilience of ecosystems, livelihoods and protection of assets while concomitantly enabling the achievements of the Paris Agreement, Sustainable Development Goals and the Sendai Framework on DRR. However, guidance on integrating climate and disaster risk is poorly understood because of insufficient scholarship. Although common concerns exist, the effective integration of DRR and CCA faces diverse challenges in various countries and contexts, and no study has addressed this topic in the Indian Ocean Region and Seychelles. To address this knowledge gap, a content analysis of relevant policies and strategies and in-depth interviews with 40 stakeholders were conducted to identify the challenges of integrating DRR and CCA alongside their proposed strategy for improvement. Barriers that impede the effective mainstreaming of DRR and CCA include issues about (1) governance and politics; (2) policy integration; (3) competing actors and institutions; (4) coordination and collaboration; (5) resources and funding mechanism; (6) scale mismatches; (7) implementation and mainstreaming; (8) community involvement; and (9) information, communication and knowledge sharing. This study reveals that structural coherence was weak on the strategic rather than conceptual levels, leading to poor institutional, operational and financial coordination. This led to incidental integration and collaboration happening on an ad hoc basis with the Disaster Risk Management Division positioned towards emergency preparedness and response. Proposed recommendations to enhance DRR and CCA integration are provided.

CONTRIBUTION: This study serves as a guide for Seychelles and other countries on how to effectively link DRR and CCA to minimise duplication of efforts and enhance the efficient use of human and financial resources while concomitantly achieving the objectives of DRR - to reduce vulnerability and enhance resilience.

RevDate: 2025-03-11

Chen Y, Chai S, Chen W, et al (2025)

The Effects of Climate Change and Greening of Vegetation on Spatiotemporal Variation of Evapotranspiration in the Haihe River Basin, China.

Ecology and evolution, 15(3):e71092.

Highly accurate evapotranspiration (ET) estimation and understanding the impacts of climatic and land use change on ET are essential for water resources management in the Haihe River Basin (HRB). This study estimated spatial and temporal changes of ET and its drivers over the period 2000-2020, using the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model. Validation performed with the observations of 11 eddy covariance sites showed that the PT-JPL model can simulate ET with high accuracy (R [2] = 0.64, RMSE = 1.32 mm/day, NSE = 0.57). During the 21-year study period, the mean annual ET in HRB was 583 mm/year and showed an insignificant increasing trend (0.45 mm/year). Canopy transpiration (ETc, 2.96 mm/year) and interception evaporation (ETi, 0.74 mm/year) significantly increased whereas soil evaporation (ETs, -3.25 mm/year) significantly decreased. The mean annual net radiation (Rn), relative humidity (Rh), and wind speed (Ws) showed insignificant decreasing trends. In contrast, mean annual air temperature (Tm), vapor pressure deficit (VPD), and precipitation showed insignificant increasing trends. The significantly increased leaf area index (LAI) demonstrated that vegetation in the HRB is greening. We explored the relationship between ET and its components to climate and vegetation parameters. The results showed that net radiation was the most important parameter for ET variations. Vegetation and temperature had large impacts on ETc. Vegetation greening in HRB dominates the increasing trend in ETc. Net radiation and relative humidity showed an important role in changes in ETs. Temperature and vegetation were key impact parameters for ETi. The increase in ETi is mainly located in the region of forests, which is due to the forest protection and afforestation projects in HRB. This study highlights the importance of isolating the contributions of vegetation and climate changes to the changes in ET and its components, which is useful for water resources management in HRB and other regions of the world.

RevDate: 2025-03-10

Caldwell JM, Grenfell B, Vecchi G, et al (2025)

Drought dynamics explain once in a century yellow fever virus outbreak in Brazil with implications for climate change.

bioRxiv : the preprint server for biology pii:2025.02.25.640139.

While excess rainfall is associated with mosquito-borne disease because it supports mosquito breeding, drought may also counterintuitively increase disease transmission by altering mosquito and host behavior. This phenomenon is important to understand because climate change is projected to increase both extreme rainfall and drought. In this study, we investigated the extent to which seasonally-driven mosquito and primate behavior drove the first urban yellow fever virus (YFV) epidemic in Brazil in a century, coinciding with an equally rare drought, and to assess the role of interventions in ending the outbreak. We hypothesized that drought triggered the outbreak by driving the forest mosquitoes and non-human primates towards the city in search of water and that the mosquitoes were biting more frequently to avoid desiccation. A dynamical YFV model supports these hypotheses, showing that increased mosquito biting can explain the second peak in transmission while primate movement determined the timing and magnitude of transmission. Further, a combination of vector control, vaccination, and conservation measures likely contributed to ending the outbreak. Together, these results suggest that drought-likely to become more frequent in this region in the coming decades-can significantly influence mosquito-borne disease transmission, and that sustained control will require multiple interventions.

RevDate: 2025-03-11

Sacristán-Bajo S, Lara-Romero C, García-Fernández A, et al (2025)

Assisted Gene Flow Management to Climate Change in the Annual Legume Lupinus angustifolius L.: From Phenotype to Genotype.

Evolutionary applications, 18(3):e70087.

Climate change may hinder species' ability to evolutionarily adapt to environmental shifts. Assisted gene flow, introducing adaptive alleles into target populations, could be a viable solution for keystone species. Our study aimed to evaluate the benefits and limitations of assisted gene flow in enhancing the evolutionary potential of Lupinus angustifolius L. (Fabaceae), considering both phenotypic and genomic perspectives. We collected seeds from four populations in Spain at two latitudes (north and south), and grew them in a common garden. We used pollen from southern individuals to pollinate northern plants and create an F1 gene flow line that would advance its flowering onset. In the next season, we allowed F1 plants to self-pollinate creating an F2 self-pollination line. We also created a backcross line by pollinating control northern plants with pollen from F1 plants. We measured flowering onset, reproductive success, and other plant traits in all resulting lines. In parallel, we sequenced genes related to reproduction, growth, stress, nitrogen, and alkaloids. All gene flow-derived lines flowered significantly earlier than the control lines from the northern populations. F1 gene flow line plants produced heavier seeds and had a lower shoot growth than those from the northern control lines. Genomic analyses identified 36 outlier SNPs between the control and the F1 gene flow lines, associated with differences in flowering onset, seed weight, and shoot growth. These results underscore that assisted gene flow can enhance a population's evolutionary potential by altering specific traits. However, altering one trait may impact others in a way that depends on the intrinsic characteristics of each population.

RevDate: 2025-03-10

Eweida RS, O'Connell MA, Zoromba M, et al (2025)

Video-Based Climate Change Program Boosts Eco-Cognizance, Emotional Response and Self-Efficacy in Rural Nursing Students: Randomised Controlled Trial.

Journal of advanced nursing [Epub ahead of print].

BACKGROUND: The Munich Security Conference 2024 highlighted the complex connections between climate change and global security risks. Engaging students in fighting climate change is a stepping stone to achieving the Sustainable Development Goals.

AIM: To investigate the effect of a video-based climate change program on revitalising eco-cognizance, emotional response, and self-efficacy among nursing students in rural communities.

DESIGN: A randomised controlled trial research design was adopted.

METHOD: A total of 140 nursing students completed a survey related to the Climate Change Perceptions, the Climate Change Anxiety Scale, and the Environmental Self-Efficacy Scale. The study group engaged in the video-based climate change program, while the comparison group received flyers related to climate change across the globe.

RESULTS: The intervention group significantly improved climate change perception and environmental self-efficacy compared to the control group, with large effect sizes. On the other hand, significantly lower levels of cognitive impairment due to climate change anxiety were recorded among the intervention group compared to the control group.

CONCLUSION: Our intervention improved nursing students' climate change literacy, pro-environmental attitudes, environmental self-efficacy, and anxiety. Future research may target a variety of university majors and use RCTs nested in a mixed-method design to capture the student experience with climate change before and after the RCT.

IMPACT: This study demonstrated that a comprehensive educational program significantly improved climate literacy, pro-environmental attitudes, and environmental self-efficacy among undergraduate nursing students while reducing climate anxiety. The findings of this study offer valuable insights for enhancing student nurses' ability to translate their scientific understanding into informed decision-making regarding issues like climate change.

Drastic natural disasters, including extreme temperatures, flooding, wildfires and snow and sandstorms, significantly affect populations, including nursing students. Early screening and management of climate change anxiety among university students is recommended as a buffer against upcoming mental health issues. Student counselling services are urged to consider the effect of climate change as a mental health parameter that significantly affects students' psychological and, consequently, academic life and progress. A video-based climate change program (VBCCP) is beneficial for equipping students with climate change literacy. The revitalization of the participant's overall eco-emotional response, pro-environmental behaviour and cognizance signalled the potential of VBCCP as a simulation teaching tool that might be integrated into nursing curriculums. Additionally, VBCCP is a cost-effective strategy that complies with International Nursing Association for Clinical Simulation and Learning (INACSL) requirements. The VBCCP can be delivered in the conventional classroom environment or through the digital platform without incurring additional costs and in alignment with the definition of simulation provided by the Agency for Healthcare Research and Quality.

No public or patient contributions.

TRIAL REGISTRATION: RCT registration: NCT06223412, on 23rd January 2024.

RevDate: 2025-03-09

Momčilović S, Jovanović A, RB Gasser (2025)

Human dirofilariasis - a potentially significant nematode zoonosis in an era of climate change.

The Journal of infection pii:S0163-4453(25)00054-4 [Epub ahead of print].

Dirofilariasis is a mosquito-borne zoonosis caused by several species of the genus Dirofilaria. This disease can manifest as nodular lesions in subcutaneous tissues, various structures of the eye, the lungs and/or visceral organs. The Dirofilaria species and the vectors responsible for transmitting infection differ among various geographical regions. The most competent reservoirs of infection are domestic and wild canids (for Dirofilaria repens and Dirofilaria immitis), raccoons (for Dirofilaria tenuis) and bears (for Dirofilaria ursi), and humans represent aberrant or accidental hosts. Recently, there has been an increasing number of reported clinical cases of dirofilariasis in both animals and humans. It is known that changes in climatic conditions, including increased temperature, relative humidity and rainfall, can contribute to favorable conditions for the development of mosquitoes and larval stages of filarial parasites within the vector. Despite advances in our knowledge of nematodes of the genus Dirofilaria and the pathological changes that they can induce in different hosts, many clinicians are unfamiliar with dirofilariasis. Thus, in clinical settings, nodules associated with dirofilariasis are often misdiagnosed as neoplastic lesions. Often, physicians surgically excise such nodules from affected patients, sometimes in very sensitive or difficult-to-reach anatomical locations, which may be accompanied by complications or serious consequences for the patients' health, including a stressful experience in the period from the discovery of a nodule to a definitive diagnosis.

RevDate: 2025-03-11
CmpDate: 2025-03-08

Duque TS, Barroso GM, Borges CE, et al (2025)

Current and future development of Acrocomia aculeata focused on biofuel potential and climate change challenges.

Scientific reports, 15(1):8120.

The search for sustainable alternatives to petroleum has driven research on biofuels, with a focus on those derived from organic biomass. This study centres on macaúba (Acrocomia aculeata), a promising oilseed for biodiesel production. Advances in cultivation techniques and the mapping of climatically suitable areas are essential to consolidate the use of this species in the energy sector. This work aimed to utilise predictive modelling with the CLIMEX software to assess the current and future climatic suitability of macaúba in the context of climate change. Data on the global distribution of macaúba, growth and stress parameters, as well as climatic variables, were collected. The modelling was conducted based on the A2 SRES scenario for the present, 2050, 2080, and 2100, including the generation of the Weekly Growth Index. Results indicated high suitability in tropical regions, particularly in Brazil and Indonesia. However, future projections highlight significant challenges due to rising temperatures and reduced rainfall. The study provides a critical perspective to guide sustainable policies in the energy sector, underscoring the potential of macaúba as a viable biodiesel source while warning of the challenges posed by climate change.

RevDate: 2025-03-08

Back D, Han K, Kim J, et al (2025)

Climate change perceptions and behaviors among Korean nurses: The role of organizational initiatives.

Nursing outlook, 73(3):102383 pii:S0029-6554(25)00036-3 [Epub ahead of print].

BACKGROUND: Climate change poses significant risks to global health, requiring engagement from healthcare professionals, including nurses.

PURPOSE: To assess Korean nurses' climate change-related perceptions and behaviors, and examine their associations with organizational climate change initiatives.

METHODS: A cross-sectional online survey was conducted from March to April 2024, involving 1,022 Korean nurses.

DISCUSSION: Korean nurses demonstrated moderate levels of climate change-related perceptions and behaviors. They were more motivated by global citizenship than professional accountability in addressing climate change. Nurses working in organizations with climate initiatives showed higher levels of climate change-related knowledge, motivation, efficacy, social norms, and behaviors than those in organizations without such initiatives.

CONCLUSION: Organizational climate initiatives play a crucial role in shaping nurses' engagement with climate change issues. Integrating climate change education into nursing curricula and implementing workplace initiatives are recommended to enhance nurses' professional engagement in addressing climate change-related health risks.

RevDate: 2025-03-08
CmpDate: 2025-03-08

Sahoo S, Singha C, Govind A, et al (2025)

Leveraging ML to predict climate change impact on rice crop disease in Eastern India.

Environmental monitoring and assessment, 197(4):366.

Rice crop disease is critical in precision agriculture due to various influencing components and unstable environments. The current study uses machine learning (ML) models to predict rice crop disease in Eastern India based on biophysical factors for current and future scenarios. The nine biophysical parameters are precipitation (Pr), maximum temperature (Tmax), minimum temperature (Tmin), soil texture (ST), available water capacity (AWC), normalized difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), normalized difference chlorophyll index (NDCI), and normalized difference moisture index (NDMI) by Random forest (RF), Gradient Boosting Machine (GBM), Extreme Gradient Boosting (XGB), Artificial Neural Net (ANN), and Support vector Machine (SVM). The multicollinearity test Boruta feature selection techniques that assessed interdependency and prioritized the factors impacting crop disease. However, climatic change scenarios were created using the most recent Climate Coupled Model Intercomparison Project Phase 6 (CMIP6) Shared Socioeconomic Pathways (SSP) 2-4.5 and SSP5-8.5 datasets. The rice crop disease validation was accomplished using 1105 field-based farmer observation recordings. According to the current findings, Purba Bardhaman district experienced a 96.72% spread of rice brown spot disease due to weather conditions. In contrast, rice blast diseases are prevalent in the north-western region of Birbhum district, affecting 72.38% of rice plants due to high temperatures, water deficits, and low soil moisture. Rice tungro disease affects 63.45% of the rice plants in Bankura district due to nitrogen and zinc deficiencies. It was discovered that the link between NDMI and NDVI is robust and positive, with values ranging from 0.8 to 1. According to SHAP analysis, Pr, Tmin, and Tmax are the top three climatic variables impacting all types of disease cases. The study's findings could have a substantial impact on precision crop protection and meeting the United Nations Sustainable Development Goals.

RevDate: 2025-03-07

Rouhani A, Ben-Salem N, D'Oria M, et al (2025)

Direct impact of climate change on groundwater levels in the Iberian Peninsula.

The Science of the total environment, 970:179009 pii:S0048-9697(25)00644-8 [Epub ahead of print].

The Iberian Peninsula is a water-scarce region that is increasingly reliant on groundwater. Climate change is expected to exacerbate this situation due to projected irregular precipitation patterns and frequent droughts. Here, we utilised convolutional neural networks (CNNs) to assess the direct effect of climate change on groundwater levels, using monthly meteorological data and historical groundwater levels from 3829 wells. We considered temperature and antecedent cumulative precipitation over 3, 6, 12, 18, 24, and 36 months to account for the recharge time lag between precipitation and groundwater level changes. Based on CNNs performance, 92 location-specific models were retained for further analysis, representing wells spatially distributed throughout the peninsula. The CNNs were used to assess the influence of climate change on future groundwater levels, considering an ensemble of eight combinations of general and regional climate models under the RCP4.5 and RCP8.5 scenarios. Under RCP4.5, an average annual temperature increase of 1.7 °C and a 5.2 % decrease in annual precipitation will result in approximately 15 % of wells experiencing >1-m decline between the reference period [1986-2005] and the long-term period [2080-2100]. Under RCP8.5, with a 3.8 °C increase in temperature and a 20.2 % decrease in annual precipitation between the same time periods, 40 % of wells are expected to experience a water level drop of >1 m. Notably, for 72 % of the wells, temperature is the main driver, implying that evaporation has a greater impact on groundwater levels. Effective management strategies should be implemented to limit overexploitation of groundwater reserves and improve resilience to future climate changes.

RevDate: 2025-03-09

Westerhold T, Dallanave E, Penman D, et al (2025)

Earth orbital rhythms links timing of Deccan trap volcanism phases and global climate change.

Science advances, 11(10):eadr8584.

At the end of the Cretaceous, the massive Deccan trap (DT) volcanic eruptions are regarded as the primary driver of global climate deterioration. Accurate age models are key to unravel the sequence of events related to DT volcanism onset and effects on the global climate system. We establish a direct geochemical link between DT volcanism as recorded in marine osmium isotopic data and global climate change documented in benthic foraminifera carbon and oxygen isotope records. Based on our state-of-the-art astronomically calibrated age model, two major shifts in marine [187]Os/[188]Os at 66.49 and 66.28 million years ago are contemporaneous with major eruption phases of the DT and disruptions of the global carbon cycle. Geochemical records and modeling suggest larger erupted volumes with high volatile emissions for the early phase of DT volcanism and point to differing emissions of SO2 and CO2 during the observed marine osmium shifts with diverse effects on the global climate system.

RevDate: 2025-03-08

Lv Z, Jiu S, Wang L, et al (2025)

Climate change affects the suitability of Chinese cherry (Prunus pseudocerasus Lindl.) in China.

Molecular horticulture, 5(1):26.

The rapid development of Prunus pseudocerasus related industry has increasingly contributed to rural vitalization in China. This study employed a biomod2 ensemble model, utilizing environmental and species occurrence data from 151 P. pseudocerasus germplasm wild/local samples, to predict potential geographical distribution, suitability changes, climate dependence, and ecological niche dynamics. The optimized maximum entropy (MaxEnt) model yielded the most accurate predictions. The climate variables with the greatest impact on suitability were precipitation of warmest quarter and mean diurnal temperature range. The total potential suitable area for P. pseudocerasus was approximately 2.78 × 10[6] km[2], increasing with CO2 concentration. The highly suitable area was primarily concentrated in basin terrains, plateaus, and plains of Sichuan Province. The current centroid in Lichuan exhibited gradual latitudinal and longitudinal movement. The predicted (2090s) ecological niche trends of P. pseudocerasus varied under different pathways and periods, with higher CO2 concentration associated with lower niche overlap. The CO2 emission concentration in the SSP246 scenario emerged as the most suitable climate model. Climate change is driving both the expansion of geographical distribution and the contraction of overlapping geographical distribution areas of P. pseudocerasus. These findings provide a theoretical basis for wild resource conservation, site selection for production, and introduction of allopatry for P. pseudocerasus.

RevDate: 2025-03-09
CmpDate: 2025-03-07

Mousavi A, Ardalan A, Takian A, et al (2025)

A policy context and process analysis to implement the Paris Agreement on climate change in the health system of Iran.

BMC public health, 25(1):893.

BACKGROUND: Ensuring public health is crucial in any policy debate on climate change. Paris Agreement on Climate Change is a global contract through which countries have committed themselves to a public health treaty. This study was conducted to identify the challenges that lie ahead for policymakers and provide an evidence-informed framework for policymaking to increase the resilience of Iran's health system to health consequences of climate change.

METHODS: A qualitative study using semi-structured interviews was conducted with 25 experts. Purposeful and snowball sampling techniques were used for data gathering. Thematic content analysis was conducted with a deductive-inductive approach. Leichter's model, the stage's heuristic framework, and Kingdon's models were used for analyzing the context and process analysis respectively. MAXQDA 20 software was used.

RESULTS: A total of four main themes and twelve sub-themes were identified concerning various contextual factors, including political, economic, international, and cultural/social challenges. The primary obstacles to implementing adaptation measures were found to be political considerations, economic sanctions, and the low-risk perception held by both the public and policymakers. Additionally, fifteen themes and forty-eight sub-themes related to the process were identified across several areas: agenda setting, which includes the problem stream, policy stream, and politics stream; policy formulation, encompassing governmental and managerial aspects, research, evidence-informed policymaking, and the role of Non-Governmental Organizations; policy implementation, which covers early warning systems, education, inter-sectoral coordination, architecture and engineering, and integrated databases; and policy evaluation, focusing on inadequate evaluation methods.

CONCLUSIONS: The study identifies key challenges in implementing the Paris Agreement within Iran's health system, categorized into four main themes: political, economic, international, and cultural/social. Political issues stem from the politicization of climate change and national security concerns. Economically, reliance on oil and sanctions hinder progress, while high technology costs strain resources. Internationally, a lack of binding commitments and technological sanctions impede efforts. Culturally, low public awareness and inadequate inter-organizational collaboration limit engagement. The study emphasizes the need for cohesive policies, enhanced public education, and improved coordination among sectors to effectively address climate change impacts on health.

RevDate: 2025-03-09

Shmuel A, Lazebnik T, Glickman O, et al (2025)

Global lightning-ignited wildfires prediction and climate change projections based on explainable machine learning models.

Scientific reports, 15(1):7898.

Wildfires pose a significant natural disaster risk to populations and contribute to accelerated climate change. As wildfires are also affected by climate change, extreme wildfires are becoming increasingly frequent. Although they occur less frequently globally than those sparked by human activities, lightning-ignited wildfires play a substantial role in carbon emissions and account for the majority of burned areas in certain regions. While existing computational models, especially those based on machine learning, aim to predict lightning-ignited wildfires, they are typically tailored to specific regions with unique characteristics, limiting their global applicability. In this study, we present machine learning models designed to characterize and predict lightning-ignited wildfires on a global scale. Our approach involves classifying lightning-ignited versus anthropogenic wildfires, and estimating with high accuracy the probability of lightning to ignite a fire based on a wide spectrum of factors such as meteorological conditions and vegetation. Utilizing these models, we analyze seasonal and spatial trends in lightning-ignited wildfires shedding light on the impact of climate change on this phenomenon. We analyze the influence of various features on the models using eXplainable Artificial Intelligence (XAI) frameworks. Our findings highlight significant global differences between anthropogenic and lightning-ignited wildfires. Moreover, we demonstrate that, even over a short time span of less than a decade, climate changes have steadily increased the global risk of lightning-ignited wildfires. This distinction underscores the imperative need for dedicated predictive models and fire weather indices tailored specifically to each type of wildfire.

RevDate: 2025-03-06

Varma V, Mosedale JR, Alvarez JAG, et al (2025)

Socio-economic factors constrain climate change adaptation in a tropical export crop.

Nature food [Epub ahead of print].

Climate change will alter the geographical locations most suited for crop production, but adaptation to these new conditions may be constrained by edaphic and socio-economic factors. Here we investigate climate change adaptation constraints in banana, a major export crop of Latin America and the Caribbean. We derived optimal climatic, edaphic and socio-economic conditions from the distribution of intensive banana production across Latin America and the Caribbean, identified using remote sensing imagery. We found that intensive banana production is constrained to low-lying, warm aseasonal regions with slightly acidic soils, but is less constrained by precipitation, as irrigation facilitates production in drier regions. Production is limited to areas close to shipping ports and with high human population density. Rising temperatures, coupled with requirements for labour and export infrastructure, will result in a 60% reduction in the area suitable for export banana production, along with yield declines in most current banana producing areas.

RevDate: 2025-03-09
CmpDate: 2025-03-06

Kim GY, WH Lee (2025)

Prediction of the spatial distribution of vine weevil under climate change using multiple variable selection methods.

Scientific reports, 15(1):7845.

The vine weevil (Otiorhynchus sulcatus) is a polyphagous pest that affects various economically important crops, but its potential distribution has not been studied. This research developed multiple species distribution models (SDMs) using different variable selection methods, including correlation, biological considerations, and principal component analysis, and integrated them into an ensemble model to predict the pest's distribution under climate change. The MaxEnt algorithm was used to develop the models, showing robust performance with raw bioclimatic variables (TSS 0.34-0.37, F1 score 0.60-0.67), while lower performance and different distribution patterns were observed with reconstructed variables (TSS 0.13, F1 score 0.48). The vine weevil was predicted to be primarily distributed in North America and Europe, with the highest invasion risk in Far East Asia and northern India. Climate change could shift its habitat northward, particularly in areas where it currently occurs, and human activities may help spread the pest to new regions. This study offers a potential distribution map to aid in monitoring and controlling the vine weevil, emphasizing the importance of variable selection methods in predictive modeling.

RevDate: 2025-03-09

Nardi RU, Mazzini PLF, RK Walter (2025)

Climate change and variability drive increasing exposure of marine heatwaves across US estuaries.

Scientific reports, 15(1):7831.

Marine heatwaves (MHWs) are among the greatest threats to marine ecosystems, and while substantial advances have been made in oceanic MHWs, little is known about estuarine MHWs. Utilizing a temperature dataset spanning over two decades and 54 stations distributed across 20 estuaries in the United States National Estuarine Research Reserve System, we present a comprehensive analysis of estuarine MHW characteristics and trends. Long-term climate-change-driven warming is driving more frequent MHWs along the East Coast, and if trends continue, this region will be in a MHW state for ~ 1/3 of the year by the end of the century. In contrast, the vast majority of the West Coast showed no trends, highlighting the potential for future thermal refugia. The West Coast was more strongly influenced by climate variability through the enhancement/suppression of MHWs during different phases of climate modes, suggesting long-term predictability potential. These results can provide guidance for management actions and planning in these critical environments.

RevDate: 2025-03-09

Jihan MAT, Popy S, Kayes S, et al (2025)

Climate change scenario in Bangladesh: historical data analysis and future projection based on CMIP6 model.

Scientific reports, 15(1):7856.

During the last two decade, Bangladesh has been experienced a critical climatic anomalies which lead to an increment in enormity and repeat of diverse climate relate extraordinary events. Climate analysts substantiate that around the world temperature and precipitation plan is expected to change, which may result in significant influence on cultivation, work, and organic framework. Bangladesh is subsequently likely to confront critical challenges within the coming decades. In orchestrate to sufficient get it this complex, lively wonders, Analyzing chronicled Climate modify scenarios as well as anticipating its future designs may be a exceptional concern for examiner. This consider focuses to analyzes irrefutable climatic data from (1901-2020), and expect future temperature and precipitation plans in Bangladesh utilizing CMIP6 data. The data utilized in this think-around (Observed data is from CRU TS 4.05 and future data is from CMIP6) have been obtained from WorldClim v2.1. Distinctive techniques tallying relationship, relapse, standard deviation, relationship system, percentiles, cell bits of knowledge, and IDW presentation were performed to analyze the designs, changeability and spatial plans of temperature and precipitation. This think around revealed that Over the irrefutable consider period (1901-2020) Bangladesh has been experienced a vital warming drift with an normal increase in temperature 2 °C and with annually decay of the in general precipitation 607.26 mm adjacent to a move towards drier conditions in show disdain toward of frail relationship with more smoking a long time. Projected climate models talks to that Bangladesh slightest temperature is expected to expand from 1 °C to 4.4 °C as well as most extreme temperatures from 1 °C to 4.1 °C by 2100. In expansion, anticipated precipitation is expected to amplify by 480.38 mm, with the most prominent rises amid storm months. Regional assortments in temperature and precipitation are once more expected, with the Southeast (SE) likely experiencing the first vital warming and the Northeast (NE) seeing the preeminent critical increase in precipitation. In this study highlights the significant impacts of climate change on vulnerable communities in Bangladesh's southwestern coastal region, emphasizing the need for targeted adaptation strategies, local knowledge integration, and proactive national and global level policies to address and manage climate-related challenges.

RevDate: 2025-03-06
CmpDate: 2025-03-06

Aguirre-Gutiérrez J, Díaz S, Rifai SW, et al (2025)

Tropical forests in the Americas are changing too slowly to track climate change.

Science (New York, N.Y.), 387(6738):eadl5414.

Understanding the capacity of forests to adapt to climate change is of pivotal importance for conservation science, yet this is still widely unknown. This knowledge gap is particularly acute in high-biodiversity tropical forests. Here, we examined how tropical forests of the Americas have shifted community trait composition in recent decades as a response to changes in climate. Based on historical trait-climate relationships, we found that, overall, the studied functional traits show shifts of less than 8% of what would be expected given the observed changes in climate. However, the recruit assemblage shows shifts of 21% relative to climate change expectation. The most diverse forests on Earth are changing in functional trait composition but at a rate that is fundamentally insufficient to track climate change.

RevDate: 2025-03-08
CmpDate: 2025-03-05

Kargbo A, Dafka S, Osman AM, et al (2025)

Impact of climate change and variability on the occurrence and distribution of Trypanosoma vectors in The Gambia.

Parasitology research, 124(3):29.

Extreme weather events can lead to infectious disease outbreaks, especially those spread by hematophagous flies, and The Gambia is particularly vulnerable to climate change. To the best of our knowledge, no one has ever documented the relationship between climate variability and change and the distribution of the hematophagous flies belonging to the families Glossinidae, Tabanidae, and Stomoxyinae. This paper aims to study the association of temperature and humidity on the distribution of the above species and their families in The Gambia in the recent past and to provide predictions of species abundance and occurrence in the future. A line transect survey was carried out in all the administrative regions of The Gambia to study the prevalence of the flies. Generalized additive models were used to analyze the relationships between the distribution of the insects and their families and the variability in climate conditions in the recent past and in three different future periods. Regarding the recent past, our results show that temperature has significantly impacted the presence of Glossinidae and Tabanidae species, with maximum temperature being the most important factor. Relative humidity was also statistically significantly associated with Tabanidae species. None of the climate variables was found to be associated with the Tabanus par and Tabanus sufis. Minimum temperature and relative humidity were statistically significantly associated with Glossina morsitan submorsitan, while maximum temperature was statistically significantly associated with Atylotus agrestis and Stomoxys calcitrans. Only relative humidity was statistically significantly associated with the Glossina palpalis gambiense. As for the future projections, the results show that rising temperatures impacted the distribution of Tabanus species, Glossina species, and Stomoxys calcitrans in The Gambia. The distribution of Trypanosoma vectors in The Gambia is mostly influenced by maximum temperature. The research's conclusions gave climate and public health policymakers crucial information to take into account.

RevDate: 2025-03-05

Pottier P, Kearney MR, Wu NC, et al (2025)

Vulnerability of amphibians to global warming.

Nature [Epub ahead of print].

Amphibians are the most threatened vertebrates, yet their resilience to rising temperatures remains poorly understood[1,2]. This is primarily because knowledge of thermal tolerance is taxonomically and geographically biased[3], compromising global climate vulnerability assessments. Here we used a phylogenetically informed data-imputation approach to predict the heat tolerance of 60% of amphibian species and assessed their vulnerability to daily temperature variations in thermal refugia. We found that 104 out of 5,203 species (2%) are currently exposed to overheating events in shaded terrestrial conditions. Despite accounting for heat-tolerance plasticity, a 4 °C global temperature increase would create a step change in impact severity, pushing 7.5% of species beyond their physiological limits. In the Southern Hemisphere, tropical species encounter disproportionally more overheating events, while non-tropical species are more susceptible in the Northern Hemisphere. These findings challenge evidence for a general latitudinal gradient in overheating risk[4-6] and underscore the importance of considering climatic variability in vulnerability assessments. We provide conservative estimates assuming access to cool shaded microenvironments. Thus, the impacts of global warming will probably exceed our projections. Our microclimate-explicit analyses demonstrate that vegetation and water bodies are critical in buffering amphibians during heat waves. Immediate action is needed to preserve and manage these microhabitat features.

RevDate: 2025-03-05

Marroquin I, Oh H, Ghosh T, et al (2025)

Dynamic life cycle assessment for evaluating the global warming potential of geothermal energy production using inactive oil and gas wells for district heating in Tuttle, Oklahoma.

The Science of the total environment, 970:178932 pii:S0048-9697(25)00567-4 [Epub ahead of print].

Repurposing abandoned oil and gas infrastructure for geothermal energy production has great potential to reduce greenhouse gas (GHG) emissions. This study quantified the life cycle global warming potential of geothermal energy production using four inactive oil and gas wells repurposed for district heating in Tuttle, Oklahoma. A cradle-to-grave prospective life cycle assessment was performed to compare GHG emissions between the geothermal district heating system and conventional natural gas-fired heating system from 2020 to 2050. For initial implementation of the geothermal system, we investigated two approaches: 1) repurposing abandoned infrastructure from a nearby oil and gas well site, and 2) production and injection well drillings including new construction of a central heat exchange station. Environmental impacts from the geothermal system were estimated for five scenarios where a natural gas peaking boiler is incorporated to supply peak heat demand. The prospective results indicated that cumulative reduction in GHG emissions from transitioning to the geothermal district heating system increase over time as a function of future renewable resource penetration and technological advancements within electricity, fuel, and steel production. Over 30 years, the global warming potential associated with the district heating demand will have been reduced by up to 24 % with the repurposed system. These results imply that repurposing existing oil and gas infrastructure for geothermal energy systems of district heating will bring future climate benefits.

RevDate: 2025-03-05

Li Y, Liu Y, Yu S, et al (2025)

Vigilance against climate change-induced regime shifts for phosphorus restoration in shallow lake ecosystems.

Water research, 278:123397 pii:S0043-1354(25)00310-0 [Epub ahead of print].

The dual pressure of anthropogenic activities and frequent extreme weather events has triggered a transition from macrophyte to algal dominance in shallow lakes. Phosphorus (P) is the key driver of regime shifts that can lead to a decline in the stability and resilience of lake ecosystems. However, the mechanisms underlying such regime shifts, and the effects of state transitions on internal P loading during macrophyte restoration in large shallow eutrophic lakes, remain to be fully elucidated. This study utilised long-term in situ monitoring data, across three distinct lake states (bare ground, macrophyte-dominated stage, and algae-dominated stage) to elucidate the accumulation and release mechanisms of sedimentary P during regime shifts. The findings demonstrated that the rehabilitation of submerged plants efficiently reduced internal P loading (water column P, sediment P fractions, and P flux), while the persistence of algal blooms was driven by the reductive release of Fe-P from sediments and the dissolution of Al-P from suspended particulate matter. High temperature, low dissolved oxygen, and high pH largely modulate the pathways and mechanisms of P supply during regime shifts. The combined pressures of extreme weather (heavy rainfall, strong winds, and extreme heat) and trophic cascades from fish stocking can trigger a shift from macrophytes to algae in shallow lakes. Appropriate management of the structure and biomass of aquatic animal communities (e.g., small-bodied or omnibenthivorous fish) and optimization of the food web structure can effectively improve water quality and maintain ecosystem stability. These findings enrich the theoretical understanding of regime-shift mechanisms from an ecosystem perspective and offer novel insights into P remediation in large shallow eutrophic lakes.

RevDate: 2025-03-07

Cai Z, You Q, Screen JA, et al (2025)

Lessened projections of Arctic warming and wetting after correcting for model errors in global warming and sea ice cover.

Science advances, 11(10):eadr6413.

Credible projections of Arctic warming and wetting (AWW) are essential for informed decision-making in a changing climate. However, current AWW projections from state-of-the-art climate models carry uncertainties. Using observational datasets and CMIP6 model simulations, we demonstrate that the observed historical global warming trend and the climatological mean pattern of Arctic sea ice can serve as effective constraints on AWW projections. Under SSP2-4.5, the constrained warming by the end of the century is reduced from 5.5° to 4.6°C. Similarly, the projected wetting decreases from 6.8 to 5.7 millimeter per month. The inter-model spread in warming and wetting is reduced by 25 and 15%, respectively. The reduction is the largest in the Barents-Kara seas, reducing warming by 1.2°C, lessening wetting by 1.7 millimeter per month, and decreasing the inter-model spread by one-third. Our findings suggest that unconstrained CMIP6 projections overestimate future AWW, particularly in the Barents-Kara seas, due to an overestimation of historical global warming and excessive sea ice in the models.

RevDate: 2025-03-07
CmpDate: 2025-03-05

Hicks LC, Leizeaga A, Cruz Paredes C, et al (2025)

Simulated Climate Change Enhances Microbial Drought Resilience in Ethiopian Croplands but Not Forests.

Global change biology, 31(3):e70065.

Climate change and land-use change represent a dual threat to terrestrial ecosystem functioning. In the tropics, forest conversion to agriculture is occurring alongside warming and more pronounced periods of drought. Rainfall after drought induces enormous dynamics in microbial growth (potential soil carbon storage) and respiration (determining carbon loss), affecting the ecosystem carbon budget. We investigated how legacies of drought and warming affected microbial functional (growth and respiration) and structural (16S and ITS amplicon) responses after drought. Rain shelters and open-top chambers (OTCs) were used to simulate drought and warming in tropical cropland and forest sites in Ethiopia. Rain shelters reduced soil moisture by up to 25 vol%, with a bigger effect in the forest, while OTCs increased soil temperature by up to 6°C in the cropland and also reduced soil moisture but had no clear effect in the forest. Soils from these field treatments were then exposed to a standardized drought cycle to test how microbial community traits had been shaped by the different climate legacies. Microbial growth started increasing immediately after rewetting in all soils, reflecting a resilient response and indicating that microbial communities perceived the perturbation as relatively mild. Fungi recovered faster than bacteria, and the recovery of fungal growth was generally accelerated in soils with a legacy of drought. Microbial community functions and structures were both more responsive in the cropland than in forest soils, and a legacy of drought particularly enhanced microbial growth and respiration responses in the cropland but not the forest. Microbial communities in cropland soils also used carbon with a higher efficiency after rewetting. Together, these results suggest contrasting feedbacks to climate change determined by land use, where croplands will be associated with mitigated losses of soil carbon by microorganisms in response to future cycles of drought, compared to forests where soil carbon reservoirs remain more sensitive.

RevDate: 2025-03-06

Sadeghi MR, Ghannadi P, Lotfi A, et al (2024)

Climate change's impact on the nervous system: A review study.

Health promotion perspectives, 14(4):336-342.

BACKGROUND: Global warming is caused by increased carbon dioxide and other industrial gases, which shift the climate of human habitat and environment, impacting human health globally. In this review, we tried to overview the current knowledge of climate change's impact on neurological disease.

METHODS: A comprehensive search on PubMed, Web of Science (WOS), and Scopus was conducted to find the relevant original studies. Language, sex, age, date, or country of study were not restricted. Included studies report increased Alzheimer's disease mortality and hospital admission.

RESULTS: This increase was seen from the first day with high temperature to 3-4 days later. Parkinson's disease (PD) subjects were more vulnerable to high temperatures compared to dementia patients (RR for dementia: 1.29 and for PD: 1.41). Global warming was linked to the increase in the incidence of Tick-borne encephalitis (TBE) (from 0.1% to 5.4%), Japanese encephalitis (OR: 2 when floods occur), and ciguatera fish poisoning (CFP) (RR: 1.62 for each 1 [◦]C increase per month).

CONCLUSION: Health-related consequences of climate change are inevitable. The burden of medical problems related to the elderly population (especially the elderly with dementia), infectious diseases, and CFP on the healthcare system will naturally increase. Studying global warming trends could empower us with more precise predictions of the future and better planning to face climate change-related challenges.

RevDate: 2025-03-06

Romanovsky AA (2025)

Global warming, Arctic exploration, and imprisonment of political opponents: Temperature is ubiquitous.

Temperature (Austin, Tex.), 12(1):1-3.

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