@article {pmid42350173,
year = {2026},
author = {Cao, GL and Li, XQ and Xiang, KL and Erst, AS and Jabbour, F and Ortiz, RDC and Yang, J and Wang, W},
title = {Formation of three great Asian plateaus, climate change, and biodiversity: (Trends Ecol. Evol. 40, 970-982; 2025).},
journal = {Trends in ecology & evolution},
volume = {},
number = {},
pages = {},
doi = {10.1016/j.tree.2026.06.010},
pmid = {42350173},
issn = {1872-8383},
}

@article {pmid42350369,
year = {2026},
author = {Orlov, A and Sillmann, J},
title = {Improving economic impact assessment of climate change with machine learning.},
journal = {Nature communications},
volume = {17},
number = {1},
pages = {},
pmid = {42350369},
issn = {2041-1723},
support = {390683824//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; },
}

@article {pmid42354072,
year = {2026},
author = {Visciano, P},
title = {Potential Increase in Known and Emerging Biotoxins in Marine Ecosystem Due to Climate Change and Subsequent Health Issues.},
journal = {Foods (Basel, Switzerland)},
volume = {15},
number = {12},
pages = {},
doi = {10.3390/foods15122103},
pmid = {42354072},
issn = {2304-8158},
abstract = {Climate change is intensifying the release and dispersion of various hazardous chemicals into marine ecosystems, such as algal biotoxins, heavy metals, persistent organic pollutants, and agricultural and industrial wastes. Eutrophication and global warming are responsible for the increase in known and emerging marine biotoxins, such as brevetoxins, palytoxins, pinnatoxins, and cyclic imines. Furthermore, tetrodotoxins and ciguatoxins, which are primarily found in tropical regions, have recently been identified in fish and bivalve molluscs from temperate areas where they had never been previously reported. These toxicants can accumulate in seafood and enter the human food chain, posing a public health concern. This review describes the interrelationship between climate change and its impact on marine organisms and human health, as well as the environment. It recommends integrating a broad range of scientific knowledge, reviewing regulatory policies, and proactively managing public health to counter these environmental threats.},
}

@article {pmid42354482,
year = {2026},
author = {Liu, S and Tan, Y and Zang, L},
title = {Climate Change Worry and Flourishing Among Chinese University Students: The Roles of Anxiety-Depressive Symptoms and Physical Activity.},
journal = {Healthcare (Basel, Switzerland)},
volume = {14},
number = {12},
pages = {},
doi = {10.3390/healthcare14121624},
pmid = {42354482},
issn = {2227-9032},
support = {2025BTY153.//Xinjiang Normal University/ ; },
abstract = {Background/Objectives: Climate change worry is an emerging concern in youth mental health, but little is known about how it is associated with positive psychological functioning among university students. This study examined whether climate change worry was associated with flourishing and whether this association showed a cross-sectional statistical indirect effect through anxiety and depressive symptoms, with physical activity specified as a first-stage boundary condition. Methods: A cross-sectional anonymous survey was conducted in 2026 using convenience sampling among students from four universities located in three provincial-level regions of China, covering southern, western, and central areas. After predefined quality control procedures, 2826 valid responses were included. Climate change worry, anxiety and depressive symptoms, flourishing, and physical activity were assessed using the Climate Change Worry Scale (CCWS), the Patient Health Questionnaire-4 (PHQ-4), the Flourishing Scale (FS), and the Physical Activity Rating Scale-3 (PARS-3), respectively. Pearson correlations and conditional process analyses were conducted using the PROCESS macro, with 5000 bootstrap samples. Results: Climate change worry was positively associated with anxiety and depressive symptoms (r = 0.331, p < 0.001) and negatively associated with flourishing (r = -0.193, p < 0.001). Anxiety and depressive symptoms were negatively associated with flourishing (r = -0.486, p < 0.001). The cross-sectional statistical indirect effect through anxiety and depressive symptoms was significant (indirect effect = -0.1277, 95% bootstrap CI: [-0.1441, -0.1123]). Physical activity was statistically associated with a weaker first-stage association between climate change worry and anxiety/depressive symptoms (B = -0.0014, p < 0.001; ΔR[2] = 0.0064). The index of moderated mediation was significant (0.0014, 95% bootstrap CI: [0.0008, 0.0020]). Conclusions: Climate change worry was statistically associated with lower flourishing, primarily through higher anxiety and depressive symptoms. Physical activity was associated with a weaker first-stage association, but the moderation effect was small in practical magnitude. Given the cross-sectional and self-report design, these findings should be interpreted as conditional statistical associations rather than causal or protective effects.},
}

@article {pmid42355329,
year = {2026},
author = {Du, Y and Li, Z},
title = {Projected Northward Expansion and Southern Core-Habitat Contraction of Zeugodacus tau in China Under Climate Change: An Optimized MaxEnt Analysis.},
journal = {Insects},
volume = {17},
number = {6},
pages = {},
doi = {10.3390/insects17060596},
pmid = {42355329},
issn = {2075-4450},
support = {Xiangcainongzhi [2022] 67//Hunan Provincial Department of Agriculture and Rural Affairs/ ; },
abstract = {Global warming is reshaping the climatic suitability of invasive ectotherms. In this study, we used an optimized Maximum Entropy (MaxEnt) model combined with GIS-based centroid tracking to quantify the spatiotemporal changes in the potential climatic suitability of Zeugodacus tau, a major polyphagous quarantine pest, in China. Projections were conducted under the historical baseline climate (1970-2000) and future climate scenarios, including SSP1-2.6, SSP2-4.5, and SSP5-8.5 for the 2050s and 2070s. Here, we projected potential climatic suitability rather than future occurrence or abundance. The model showed high predictive performance (AUC = 0.921). Annual mean temperature (Bio1) and mean diurnal range (Bio2) were identified as the primary environmental variables shaping the species' climatic suitability. Future projections suggested contrasting spatial changes in climatic suitability, with expansion mainly in northern marginal regions and contraction of the southern highly suitable core area. As winter temperatures increased, the low- and moderate-suitability areas were projected to expand northward into temperate agricultural regions. However, under the extreme warming scenario (SSP5-8.5), the highly suitable core area in southern China was projected to decline by 31.61%, while the centroid of the highly suitable area shifted inland and northwestward by approximately 168 km toward the Wuling Mountains. These spatial patterns may be associated with increasing summer heat stress in low-altitude southern regions, although this mechanism requires further physiological validation. Overall, these findings provide a scientific basis for risk-oriented early warning, quarantine planning, and region-specific pest management under future climate change.},
}

@article {pmid42355349,
year = {2026},
author = {Wang, Q and Ta, F and Yue, F and Ma, H and Yang, D},
title = {Potential Distribution and Key Factors of Dasyhippus barbipes (Orthoptera: Acrididae: Gomphocerinae) in China Under Climate Change Scenarios.},
journal = {Insects},
volume = {17},
number = {6},
pages = {},
doi = {10.3390/insects17060616},
pmid = {42355349},
issn = {2075-4450},
support = {2024YFC2607700//National Key R&D Program of China/ ; 2024-QNY-3//Youth Research Fund Project of Qinghai University/ ; },
abstract = {Dasyhippus barbipes (Fischer von Waldheim, 1846) is an early dominant grasshopper in Chinese grasslands, and understanding its climatic niche is important for monitoring and early warning. Based on nationwide field surveys conducted from 2019 to 2024, 732 filtered occurrence records were used with an optimized MaxEnt model parameters (rm = 1.5, fc = LQ) to predict the current and future suitable habitat of D. barbipes in China. The model performed well (mean AUC = 0.962, mean TSS = 0.924). The mean temperature of the coldest quarter and precipitation seasonality were the most important limiting variables, while elevation and human footprint also contributed to habitat suitability. Under current climate conditions, suitable habitat is concentrated mainly in central and eastern Inner Mongolia, with additional suitable areas in the eastern Tianshan Mountains of Xinjiang and the central Qilian Mountains of Gansu; the highly suitable habitat covers 6.57 × 10[4] km[2]. Under all future climate scenarios, suitable habitat is projected to shift northward, and stable areas are mainly located in eastern Inner Mongolia. Habitat changes become more pronounced by the 2090s. These results improve understanding of the spatiotemporal dynamics of D. barbipes under climate change and provide a basis for future monitoring and management.},
}

@article {pmid42355368,
year = {2026},
author = {Ma, K and Wang, Y and Ding, W and Ma, Y and Tang, X and Han, J and Li, J and Li, X and Shang, S and Yang, M},
title = {Climate Change Impacts on Suitable Habitats of the Endangered Parnassius imperator, an Alpine Butterfly Endemic to China.},
journal = {Insects},
volume = {17},
number = {6},
pages = {},
doi = {10.3390/insects17060635},
pmid = {42355368},
issn = {2075-4450},
support = {31702046//National Natural Science Foundation of China/ ; },
abstract = {Climate change and habitat loss pose severe threats to the survival of alpine butterflies worldwide. Parnassius imperator is a rare, endemic, and endangered butterfly in China, yet the spatiotemporal dynamics of its suitable habitats under climate change remain largely unknown. In this study, we applied ensemble species distribution models to simulate the shifts of its current and future suitable habitats, incorporating bioclimatic variables, elevation, normalized difference vegetation index, and human footprint. Results showed that the current suitable habitats cover 185.87 × 10[4] km[2] and are concentrated in western China, mainly regulated by elevation, temperature seasonality (BIO4), precipitation of the wettest month (BIO13), precipitation of the warmest quarter (BIO18), and precipitation of the driest month (BIO14). Under future climate change scenarios, suitable habitats will shrink drastically, even to only 82.16 × 10[4] km[2] under SSP585 in the 2070s, with nearly a complete loss of highly suitable habitats. In addition, centroid shift analyses reveal that the distribution centroid will shift eastward. Our findings indicate that suitable habitats will contract significantly, and P. imperator will face a sharply increasing risk of extinction in the future. Considering the overlap between suitable habitats and existing nature reserves, we recommend implementing integrated conservation strategies, including expanding protected areas, establishing long-term monitoring programs, restoring habitats, and strengthening law enforcement and public education. This study provides a scientific basis for the climate-adaptive conservation of P. imperator and other vulnerable alpine insects.},
}

@article {pmid42357908,
year = {2026},
author = {Jin, R and Luo, ZH and Liu, X and Liu, JQ and Su, SK and DU, H and DU, JG and Kang, JH and Hu, WJ},
title = {Distribution of Azadinium spinosum in Chinese coastal waters and its response to climate change.},
journal = {Ying yong sheng tai xue bao = The journal of applied ecology},
volume = {37},
number = {6},
pages = {2020-2030},
doi = {10.13287/j.1001-9332.202606.032},
pmid = {42357908},
issn = {1001-9332},
mesh = {*Climate Change ; *Dinoflagellida/growth & development/physiology/metabolism ; China ; *Marine Toxins/analysis ; Seawater ; Oceans and Seas ; Spiro Compounds/metabolism ; Animals ; Polyether Toxins ; Ecosystem ; Seashore ; },
abstract = {Azaspiracid toxins are the most recently discovered group of major marine shellfish toxins. Azadinium spinosum is a key species producing azaspiracid toxins. The distribution pattern of Azadinium spinosum and its response to climate change remain unclear in China's coastal waters. We obtained distribution records of this species based on environmental DNA survey from 600 stations across China's coastal waters. Then, by combining relevant environmental data with the MaxEnt model, we investigated its distribution characteristics under current conditions and predicted its distribution under three climate scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5) for the 2050s and 2100s. The results showed that: 1) Nitrate concentration (contribution rate of 50.6%) and sea surface temperature (contribution rate of 28.0%) were the dominant factors determining the distribution of A. spinosum in China's coastal waters. 2) Its current potential distribution areas mainly concentrate in the South China Sea and the East China Sea. The total area is 1.7136 million km[2], of which the South China Sea accounted for 58.2% and the East China Sea for 34.7%. 3) Under different climate scenarios, the potential distribution area of A. spinosum would shrink by 9.8%-22.0% by the 2050s, with the greatest reduction occurring under the SSP5-8.5 scenario, while the distribution centroid shifting northeastward from the northern South China Sea to the East China Sea. By the 2100s, the distribution area would further shrink by 17.7%-38.9%, with the smallest area occurring under the SSP5-8.5 scenario (1.0477 million km[2]). The distribution margins exhibit a pronounced "southern contraction and northern expansion" trend, while the distribution centroid shift further northeastward, potentially reaching the Yellow Sea under the SSP5-8.5 scenario.},
}

*Climate Change
*Dinoflagellida/growth & development/physiology/metabolism
China
*Marine Toxins/analysis
Seawater
Oceans and Seas
Spiro Compounds/metabolism
Animals
Polyether Toxins
Ecosystem
Seashore

@article {pmid42358381,
year = {2026},
author = {Sun, J and He, X and Wang, T and Wang, Q and Liu, B and Qian, J and Luo, D and Xia, H and Xu, X and Lei, X and Zhang, J and Wang, W and Xu, M},
title = {Integrating Remote Sensing and Machine Learning to Project Global Habitat Suitability and Productivity of Chinese Fir Under Climate Change.},
journal = {Ecology and evolution},
volume = {16},
number = {6},
pages = {e73757},
pmid = {42358381},
issn = {2045-7758},
abstract = {Chinese fir (Cunninghamia lanceolata) is China's most widely planted industrial plantation species, yet productivity declines have been reported in several regions. Climate change is likely to intensify these risks by simultaneously reshaping climatic suitability and limiting sustainable net primary productivity (NPP), but their combined effects have not been quantified in a global, multi-model framework. Here, we integrate ecological niche models (ENMs) with multiple machine-learning models for NPP, calibrated using 3139 occurrence records, MODIS-derived NPP, and 37 climate-soil covariates. Future projections are driven by an ensemble of 13 CMIP6 GCMs under SSP245 and SSP585. Across scenarios, suitable habitat is projected to contract in the current core region of southern China while expanding poleward, with new suitability in North China, the eastern United States, and South America. By 2081-2100, habitat losses account for 16%-18% of the current suitable area, partly offset by gains in newly suitable regions equivalent to 35%-45% of the current suitable area. Within today's planting footprint, total NPP is projected to decline by 6%-12% (≈1.3-5.6 × 10[9] t·year[-1]) relative to the current total NPP under the same footprint. In contrast, tracking future suitable zones under an idealized assisted-migration scenario could potentially increase total NPP by 15%-20% relative to the current total NPP. Warm-season precipitation and temperature-regime variability (annual range and isothermality) emerge as dominant controls, highlighting coupled hydrothermal constraints. This integrated assessment provides strategic evidence for prioritizing climate-forward plantation siting.},
}

@article {pmid42342785,
year = {2026},
author = {Hamed, MM and Sobh, MT and El-Mallawany, AR and Elgharib, AO},
title = {Climate change impact on future Egypt's wind energy: a CMIP6-based assessment of power output.},
journal = {Scientific reports},
volume = {16},
number = {1},
pages = {},
pmid = {42342785},
issn = {2045-2322},
abstract = {Egypt possesses substantial potential for renewable energy generation, prompting heavy national investments to increase the share of wind power in its overall energy portfolio. Consequently, it is crucial to evaluate the long-term vulnerability of future wind energy production to climate change. This study fills a critical gap in regional climate-energy modelling by providing a novel quantification of turbine-specific capacity ratios across four Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5). Through a comparative assessment of 23 CMIP6 Global Climate Models (GCMs), EC-Earth3-Veg, EC-Earth3, and CESM2-WACCM were identified as the most reliable models against historical ERA5-Land data using the Kling-Gupta Efficiency (KGE) metric, followed by Quantile Mapping for bias correction of both historical and future scenarios. Evaluating nine wind turbine models (T1-T9) revealed that T1 and T2 maintained the highest historical capacity ratios, peaking at 68.0-76.5% and 59.5-68.0%, respectively. By 2100, meteorological projections indicate a regional warming trend coupled with a decrease in mean wind speed; notably, the high-emission SSP5-8.5 scenario projects the highest mean temperature (28 °C) and lowest mean wind speed (3.8 m/s). Despite these declines, future projections for T1 and T2 indicate resilient power generation and localized increases in strategic locations, such as Ras Ghareb and southern Egypt, particularly under the SSP2-4.5 scenario. Ultimately, these findings provide essential data-driven insights for energy planners to optimize turbine selection and site development, ensuring the long-term resilience of Egypt's wind energy infrastructure.},
}

@article {pmid42342872,
year = {2026},
author = {Van Der Straeten, D and Bulut, M and Cao, D and Aharoni, A and Bouis, H and Granell, A and Gruissem, W and Lindberg Møller, B and Martin, C and Puchta, H and Sreenivasulu, N and Tissier, A and Tripathi, L and Van Montagu, M and Fernie, AR},
title = {Genetic technologies to enhance crop nutritional value under climate change.},
journal = {Nature},
volume = {654},
number = {8120},
pages = {877-891},
pmid = {42342872},
issn = {1476-4687},
mesh = {Humans ; *Biofortification/methods ; *Climate Change ; CRISPR-Cas Systems/genetics ; *Crops, Agricultural/genetics/metabolism/chemistry ; *Gene Editing/methods ; Metabolic Engineering ; Micronutrients/deficiency/analysis ; Nutritive Value ; },
abstract = {At present, more than 700 million people live with caloric hunger, and more than two billion suffer from micronutrient deficiencies, known as 'hidden hunger'. From an agricultural viewpoint, three major objectives need to be worked towards simultaneously to achieve zero hunger (the United Nations Sustainable Development Goal 2): (1) enhanced yield; (2) higher vitamin and mineral density to sustain recommended daily intake (multi-biofortification); and (3) enhanced climate-change resilience. Although the Green Revolution increased global calorie production, it exacerbated hidden hunger by prioritizing high yield over nutritional quality. Stress from global climate change has been shown to reduce the densities of several micronutrients. CRISPR-Cas, which allows genome editing with extremely high precision, has emerged as a groundbreaking breeding technology that has already been adopted by many countries. Here we examine how CRISPR-Cas-based approaches could be used to achieve biofortification targets by enhancing micronutrient densities to the levels necessary to alleviate dietary vitamin and mineral deficiencies. Given the limited time frame available to achieve zero hunger, we argue that CRISPR-Cas technologies should be combined with metabolic engineering based on transformation and other technologies. We also consider untapped resources beyond metabolic pathways and current CRISPR-Cas methodologies to address one of the most important societal issues of the twenty-first century.},
}

Humans
*Biofortification/methods
*Climate Change
CRISPR-Cas Systems/genetics
*Crops, Agricultural/genetics/metabolism/chemistry
*Gene Editing/methods
Metabolic Engineering
Micronutrients/deficiency/analysis
Nutritive Value

@article {pmid42344036,
year = {2026},
author = {Rachman, A and Sun, Y and Babcock-Dunning, L and Timm, K and Dubrow, R and Carrión, D},
title = {Transforming climate change and health practice: a follow-up survey of participants in a global online professional education programme.},
journal = {BMJ public health},
volume = {4},
number = {2},
pages = {e004282},
pmid = {42344036},
issn = {2753-4294},
abstract = {INTRODUCTION: Climate change poses unprecedented threats to global health, yet formal educational programmes preparing professionals to address this intersection remain limited. The Yale Climate Change and Health Certificate Program, launched in 2018, represents a pioneering online professional education initiative designed to build cross-sectoral capacity in climate and health. This study evaluated long-term outcomes for members of the programme's first nine cohorts (2018-2023).

METHODS: We conducted a mixed-methods evaluation that followed a slightly modified Kirkpatrick's four-level training evaluation model. Participants responded to questions that assessed Learning and Self-Efficacy through knowledge and confidence measures, Behaviour through career and engagement indicators and Results through work involvement comparisons. Latent class analysis identified distinct behaviour change patterns, while qualitative analysis explored behaviour change pathways through rapid-qualitative assessment. Data were collected via a Qualtrics survey distributed by email.

RESULTS: There were 205 survey respondents. The data demonstrated a gap between learning (ie, knowledge acquisition) and self-efficacy in applied skills: >90% of participants agreed or strongly agreed they understood 4 of 6 areas of knowledge queried; only 70%-78% agreed or strongly agreed they had confidence in applying 3 of 4 skills queried. The programme outcomes were substantial: 91.1% modified their work approach, 76.5% pursued climate activities outside work, 58.7% made career changes and 46.5% pursued additional education. Results showed professional engagement with climate and health increased from 45.4% to 65.9% after programme completion. There were two distinct behaviour change pathways: 'Integrators' (50.2%) who embedded climate perspectives into existing roles and 'Pivoters' (41.0%) who made substantial career transitions.

CONCLUSIONS: The programme achieved learning and self-efficacy, behavioural and impact outcomes across Kirkpatrick levels. The identification of two behaviour change pathways provides a novel framework for understanding professional development impact. The knowledge-application gap highlights the need for enhanced experiential learning components in online professional education. These findings offer evidence-based principles for designing effective climate and health programmes as the field expands.},
}

@article {pmid42344055,
year = {2026},
author = {Ncube, O and Khozah, MY and Nunu, WN},
title = {How are gender and sexual minority populations included in climate change-associated disaster preparedness plans in Bulawayo Province? A mixed-methods research protocol.},
journal = {BMJ public health},
volume = {4},
number = {2},
pages = {e002374},
pmid = {42344055},
issn = {2753-4294},
abstract = {INTRODUCTION: Climate change necessitates inclusive disaster preparedness strategies. Gender and sexual minorities in Zimbabwe face marginalisation, with limited access to resources and exclusion from climate change adaptation efforts.

METHODS AND ANALYSIS: This mixed-methods study protocol will be conducted in Bulawayo Province, Zimbabwe, involving 165 participants identified through the Sexual Rights Centre. Quantitative data will be collected using semistructured questionnaires, and qualitative data will be gathered through focus group discussions and key informant interviews. Qualitative data will enhance the quantitative findings to ensure that robust conclusions are drawn. The study will commence in April 2026 and is expected to be completed by December 2026.

ETHICS AND DISSEMINATION: Ethical approval was granted by the National University of Science and Technology Institutional Review Board (NUST/IRB/2024/062). Written informed consent will be obtained from all the participants. The findings will be disseminated through peer-reviewed publications, conference presentations and policy briefs shared with the Zimbabwean Ministry of Local Government and Public Works and community feedback sessions with the Sexual Rights Centre.},
}

@article {pmid42344057,
year = {2026},
author = {Pearson, I and Lau, K and Schulte, C and Pocock, NS and Kiss, L and Riley, K and Fong, CS and Loganathan, T and Adams, B and Flouris, A and Hargreaves, S and Zimmerman, C},
title = {Perfect storm: a scoping review of interventions and preparedness strategies at the intersections of climate change, migrant worker health and health systems.},
journal = {BMJ public health},
volume = {4},
number = {2},
pages = {e003288},
pmid = {42344057},
issn = {2753-4294},
abstract = {OBJECTIVES: To map and synthesise evidence on interventions and preparedness strategies addressing climate-related occupational health risks among migrant workers and to identify gaps across five domains: formal health sector; health surveillance systems; regulations or policies; corporate and public procurement and worker, employer, non-governmental organisation (NGO) and academic strategies.

DESIGN: Scoping review conducted in accordance with the Arksey and O'Malley framework and reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for Scoping Reviews.

DATA SOURCES: Ovid MEDLINE and Ovid Global Health, searched for peer-reviewed studies published from 1 January 2000 to 28 March 2025, in any language. Expert consultations were used to identify five intervention domains and to supplement database searches.

ELIGIBILITY CRITERIA: Peer-reviewed studies reporting on interventions or preparedness strategies at the intersection of climate change, occupational health and migrant worker populations. Studies of any design were eligible. Studies focusing solely on internal migrants or addressing general climate-related health risks without explicit reference to occupational health or migrant workers were excluded.

DATA EXTRACTION AND SYNTHESIS: Title, abstract and full-text screening was conducted independently by at least two reviewers, with discrepancies resolved through discussion. Data were charted using a standardised extraction sheet and analysed descriptively and thematically.

RESULTS: 19 studies met the inclusion criteria. Most (15) were from the USA; four were from Egypt, Guatemala, UAE and Kuwait. Studies focused primarily on agriculture. Interventions were found for the formal health sector (n=3); regulations or policies (n=4) and workers, employers, NGOs and academics (n=12). We found a critical lack of health sector preparedness to address rising climate-related migration and worker morbidity. Despite the protection potential of policies, regulations and cross-border agreements, only four studies evaluating these approaches were identified. No intervention studies were found for corporate and public procurement or health surveillance. This likely reflects broader gaps in data systems, which rarely collect or disaggregate climate-related health outcomes for migrant workers, especially in low- and middle-income countries.

CONCLUSIONS: Health systems remain critically underprepared to detect, foresee and respond to climate-related illness among migrant workers. Migrant-inclusive public health requires surveillance systems that capture this population, stronger protections against exploitative labour conditions that exacerbate climate vulnerability, and demand-side accountability from corporate and procurement actors. Applying just transition principles will promote workers' participation in decisions shaping their own health, rights and livelihoods.},
}

@article {pmid42345254,
year = {2026},
author = {Austad, SN and Cong, Z},
title = {Introduction to the special issue on the impact of climate change and air quality on human aging.},
journal = {The journals of gerontology. Series A, Biological sciences and medical sciences},
volume = {81},
number = {7},
pages = {},
doi = {10.1093/gerona/glag150},
pmid = {42345254},
issn = {1758-535X},
}

@article {pmid42345267,
year = {2026},
author = {Hafeez, S and Alvi, SM},
title = {An exploration of climate change-induced anxiety and depression in vulnerable populations in Pakistan.},
journal = {Psychology, health & medicine},
volume = {},
number = {},
pages = {1-20},
doi = {10.1080/13548506.2026.2691410},
pmid = {42345267},
issn = {1465-3966},
abstract = {Climate-induced disasters in Pakistan have been found to have a significant impact on the mental health of individuals due to economic insecurity, gender-based violence and abuse. The alarming situation of the country calls for an in-depth analysis of mental health impacts of climate change with a strong focus on vulnerable populations. This study synthesizes existing literature by performing a systematic literature review on climate-change-induced anxiety and depression in Pakistan. The study consolidated findings from 22 research articles from Scopus and PubMed, ranging from 2015 to 2025 by utilizing the PRISMA model. The findings of this review reveal anxiety, depression and PTSD as the most common psychological disorders associated with climate-induced disasters. Moreover, the review finds that women and children are the most vulnerable to climate change due to socioeconomic and cultural factors. It was found that internal displacement due to climate-induced disasters leads to major psychological disorders, such as PTSD, anxiety and depression. Anxiety, depression and PTSD are the most common psychological impacts of climate-induced disasters, where women and children aged 10-20 are more at risk. Limited availability of resources in rural areas of Pakistan and lack of infrastructure also led to the prevalence of mental health disorders.},
}

@article {pmid42345328,
year = {2026},
author = {Markus, HS},
title = {The first-ever World Health Organisation (WHO) resolution on stroke, climate change and stroke, and do illicit drugs increase stroke risk.},
journal = {International journal of stroke : official journal of the International Stroke Society},
volume = {21},
number = {6},
pages = {732-734},
doi = {10.1177/17474930261455412},
pmid = {42345328},
issn = {1747-4949},
}

@article {pmid42346064,
year = {2026},
author = {Hudu, SA and Morad, EA and Alhazimi, GM and Jimoh, AO},
title = {Climate Change and Emerging Arboviral Threats in Saudi Arabia: Epidemiology, Vector Ecology, and One Health Preparedness.},
journal = {Infectious disease reports},
volume = {18},
number = {3},
pages = {},
pmid = {42346064},
issn = {2036-7430},
support = {NBU-CRP-2026-3770//Northern Border University/ ; },
abstract = {Arboviral diseases are emerging as important public health threats in Saudi Arabia, driven by rapid urbanization, climate variability, the expansion of Aedes aegypti populations, international travel, and large-scale religious mass gatherings. Dengue virus remains the most established arboviral infection in the Kingdom, particularly in the southwestern regions such as Jazan and the western urban centers of Makkah and Jeddah, where ecological and climatic conditions are conducive to sustained vector survival and transmission. This review synthesizes current evidence on the epidemiology, vector ecology, climatic determinants, diagnostics, and prevention strategies of arboviral diseases in Saudi Arabia. Particular attention is paid to the impacts of rising temperatures, changes in rainfall patterns, urban heat island effects, population mobility, and cross-border movement on vector expansion and disease emergence. The review also identifies gaps in surveillance, diagnostics, insecticide resistance monitoring, and integrated vector management programs. Emerging preparedness strategies include climate-informed early warning systems, Geographic Information System-based risk mapping, multiplex molecular diagnostics, genomic surveillance, and community-based vector control. The review emphasizes the importance of implementing a One Health approach that combines data on humans, the environment, entomology, and climate. Currently, sustained endemic transmission of chikungunya and Zika viruses has not been conclusively demonstrated in Saudi Arabia, but increased environmental suitability and connectivity with other areas highlight the need for proactive surveillance and preparedness.},
}

@article {pmid42347418,
year = {2026},
author = {Katip, A and Demiralp, E},
title = {Assessing the Water Quality of a Stream and Its Relationship with Climate Change Using Water Quality Index and Multivariate Statistical Methods.},
journal = {Toxics},
volume = {14},
number = {6},
pages = {},
doi = {10.3390/toxics14060520},
pmid = {42347418},
issn = {2305-6304},
abstract = {Industrial and domestic wastewaters, nonpoint pollution sources, and climate change affect stream ecosystems, water quantity, and quality. Within the scope of this study, the water quality of Nilüfer Stream was evaluated using the Water Quality Index (WQI), One-Way ANOVA, the Kruskal-Wallis Test, and Principal Component Analysis (PCA). In the study, 4686 water quality data from seven sampling stations between 2008 and 2024 were used. WQI results showed a distinct decrease in water quality from the upstream to the downstream of the Stream. Average WQI values for the stations were found to be between 140.83 and 487.83. The lowest WQI value was found at Station 1 and the highest WQI value was found at Station 7. According to WQI, the ranking of the stations by magnitude was St7 > St4 > St5 > St6 > St2 > St3 > St1. A statistically significant difference was observed between the stations in terms of WQI, ANOVA, and Kruskal-Wallis Test (p < 0.05), and water quality was found to be seasonally diverse. Generally, at stations (except for two stations), the seasonal WQI values ranked by magnitude were autumn > summer > winter > spring. The PCA showed that relationships among parameters originating from industrial wastewater associated with the textile, automotive, and metal industries were stronger (component loadings > 0.75), whereas the groups identified in the upstream basin indicated domestic pollution and agricultural pollution from fertilizers and pesticides. PCA conducted between meteorological parameters and the WQI values of the stations showed that climate change could be effective at only two stations. It was determined that the region located before the wastewater treatment plant (St4) was associated with precipitation, humidity, and evaporation, while the downstream region (St7) was related to wind speed. It was observed that water quality was more influenced by industrial, urban, and agricultural pollution sources than by climate change.},
}

@article {pmid42348875,
year = {2026},
author = {Heimrath, K and Rupprecht, M and Schranz, M and Klein, T and Unterkofler, J and Schilling, T and Bienzeisler, J and Hertwig, M and Cramer, J and Potzauf, M and Laurentius, T and Schirrmeister, W and Bollheimer, C and Sager, S and Röhrig, R and Walcher, F},
title = {KlimaNot-Effects of Climate Change on Emergency and Acute Care: Protocol for a Multicenter, Registry-Based Observational Cohort Study.},
journal = {JMIR research protocols},
volume = {15},
number = {},
pages = {e82267},
doi = {10.2196/82267},
pmid = {42348875},
issn = {1929-0748},
abstract = {BACKGROUND: Due to climate change, the population and health care systems face an increasing burden of weather-related health risks. Emergency departments (EDs) are one of the first points of contact for acute and emergency care and insights into population health. Previous research has demonstrated that climate change-based weather phenomena have an impact on ED usage and morbidity. However, research shows inconsistent results for some weather phenomena and disease groups, and no corresponding evidence is yet available for Germany.

OBJECTIVE: This study aims to investigate the association between climate-related weather conditions and ED usage and morbidity in Germany. It focuses on identifying particularly vulnerable patient groups, developing indicators for syndromic surveillance, and testing prediction models to support clinical and public health decision-making.

METHODS: KlimaNot is a multicenter, registry-based observational cohort study with retrospective and prospective components. The primary analysis is a prespecified retrospective evaluation using routinely collected encounter data from the German National Emergency Department Data Registry (AKTIN), comprising approximately 6.35 million ED visits from up to 56 EDs (2019-2024). Hospital-level environmental exposures (eg, temperature and selected air pollutants) will be linked to each participating ED based on location and summarized to daily metrics. The primary endpoint is daily all-cause ED visit volume at the hospital-day level. Secondary endpoints include hospital admission probability, syndromic and diagnostic case-mix, referral source and mode of transport, and routinely recorded proxies of clinical severity (eg, triage acuity). Heat effects will be quantified using models allowing for nonlinear exposure-response relationships and delayed (lagged) effects, with adjustment for site, seasonality and time trends, weekday, and public holidays; effect modification by age, sex, multimorbidity proxies, and area-level socioeconomic deprivation will be assessed. Additional analyses include a predefined case study for the region Stuttgart, leveraging extended longitudinal and more detailed pathway data, development and validation of heat-sensitive syndromic surveillance indicators, evaluation of short-term forecasting models of ED usage, and an ancillary prospective geriatric substudy collecting patient-reported and functional outcomes to better characterize vulnerability in the oldest-old.

RESULTS: Retrospective data analyses are ongoing and scheduled for completion by April 1, 2026. The prospective study will expect results by September 1, 2026.

CONCLUSIONS: This study will provide the first robust evidence on the impact of climate change-related weather conditions on ED usage and morbidity in Germany. The findings aim to support early detection, preparedness, and targeted protection strategies for vulnerable populations and inform clinical and public health decision-making.

TRIAL REGISTRATION: German Clinical Trials Registry DRKS00033214; https://drks.de/search/en/trial/DRKS00033214 and German Clinical Trials Registry DRKS00037822; https://drks.de/search/en/trial/DRKS00037822.

RR1-10.2196/82267.},
}

@article {pmid42350123,
year = {2026},
author = {Lyu, WX and Gao, LS and Li, JF and Wang, JX and Li, GL and Zhang, ZY and Zhang, XY and Li, SJ},
title = {Habitat pattern of Quercus variabilis in China under the background of climate change.},
journal = {Ying yong sheng tai xue bao = The journal of applied ecology},
volume = {37},
number = {5},
pages = {1466-1476},
doi = {10.13287/j.1001-9332.202606.021},
pmid = {42350123},
issn = {1001-9332},
abstract = {To clarify the distribution pattern of Quercus variabilis under the combined influences of climate change and habitat fragmentation, we used 87 occurrence records and 9 climatic variables, and applied the MaxEnt model and ArcGIS to simulate the current and future suitable habitats of Q. variabilis across China under SSP126 and SSP585 scenarios. The results showed that the MaxEnt model performed well (area of receiver operating characteristic curve was 0.884). The main climatic factors influencing the distribution of Q. variabilis were the minimum temperature of the coldest month, precipitation of the wettest quarter, maximum temperature of the warmest month, and mean temperature of the wettest quarter. During 1970-2000, the area of highly suitable habitats for Q. variabilis was approximately 104.92×10[4] km[2], mainly located in central, eastern, southwestern, and southeastern China. Under both SSP126 and SSP585 scenarios, the total suitable habitat expanded during 2021-2100, but its structure shifted. The highly suitable area declined significantly (by 44.8%-50.5%), moderately suitable habitat also contracted (by 1.7%-34.4%) except for a slight increase under SSP126 during 2021-2040, and poorly suitable area increased (by 41.7%-104.5%). This trend suggested the increases in fragmentation and the decline of overall suitability of Q. variabilis habitats. The findings would provide scientific guidance for region-specific management and the long-term sustainable utilization of Q. variabilis resources.},
}

@article {pmid42336871,
year = {2026},
author = {Chand, R and Sheikh, S and Kanjwani, B and Bukhari, S and Kumar, H},
title = {Explainable machine learning for climate change attribution and hotspot identification: spatial cross-validation analysis in South Asian Region.},
journal = {Scientific reports},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41598-026-57382-9},
pmid = {42336871},
issn = {2045-2322},
abstract = {We present a machine learning framework for climate change attribution and hotspot identification, with emphasis on testing geographic transferability through spatial cross-validation. We evaluate eight ML models for explaining temperature anomalies in Sindh, Pakistan on 44 years of observations. We performed spatial transferability testing using Leave-One-District-Out Cross-Validation (LODO-CV) to assess whether learned relationships generalize to districts not seen during training. Gradient Boosting was the most successful algorithm with ([Formula: see text]) under LODO-CV, which indicates robust transferability across the region's diverse climatic zones. The modest difference between LODO-CV and random cross-validation ([Formula: see text]) is consistent with findings that temporal structure often dominates spatial structure in climate time series[1]; we thus interpret LODO-CV as a complementary robustness check rather than a correction for inflated performance. SHAP feature attribution showed that climate variables (37.6%), temporal trends (32.0%), and anthropogenic proxies (23.7%), are the most important predictors, although it is also important to note the caveat that the importance of proxies is only indicative of correlation, not causation, and must be carefully considered when applying to policy matters. A sensitivity analysis excluding all temperature-derived predictors confirms that the model achieves [Formula: see text] using only temporal, geographic, and anthropogenic features, ruling out feature-target circularity. Temporally blocked cross-validation (train ≤2015, test 2016-2024) yields [Formula: see text], honestly demonstrating that temporal extrapolation is substantially more challenging than spatial interpolation-a well-documented limitation of statistical climate models. By using a dual-index model, which integrates the frequency of extreme events with average climate changes, we were able to pinpoint seven hotspots of climate change, concentrated in Karachi and Hyderabad urban areas, which are exposed to compound risk of urbanization, coastal exposure, and rising temperature extremes. We emphasize that our framework addresses attribution-understanding which factors correlate with observed temperature variability-rather than operational forecasting, which appropriately relies on numerical weather prediction models. The results demonstrate the value of spatially explicit validation procedures for confirming geographic transferability of climate ML models and offer practical suggestions to specific adaptation planning for the most climate-prone regions.},
}

@article {pmid42337033,
year = {2026},
author = {Yadav, R and Maiti, S and Garai, S and Bhakat, M and Dixit, AK and Aggarwal, A and Mondal, G},
title = {Effect of climate change on milk production and yield of buffalo, indigenous cattle and crossbred cattle in Haryana, India.},
journal = {Scientific reports},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41598-026-58067-z},
pmid = {42337033},
issn = {2045-2322},
abstract = {Climate change significantly undermines livestock productivity worldwide, with profound implications for milk production. Unprecedented climatic changes indiscriminately affect the dairy production across the global south with profound effects on the Trans-Gangetic plains, especially the high milk production tract of Haryana. Hence, this study employs panel data analysis to assess the impact of climatic variables, including annual minimum, maximum, and mean temperatures, heavy rainfall incidence, temperature-humidity index (THI), and potential evapotranspiration (PET) on milk yield and production in buffalo (Bubalus bubalis), indigenous cattle (Bos indicus), and crossbred cattle (Bos taurus × Bos indicus) in Haryana, India, from 2004 to 2019. The study was based on data spanning 16 years of Integrated Sample Survey in Haryana, adopting a stratified three-stage sampling design (districts → villages/households → animals) with complete livestock population enumeration. Annually, 1,148 villages were surveyed for recording milk yield and milk production. Crossbred cattle, indigenous cattle and buffalo had daily milk yields of 8.08, 5.23 and 7.64 kg/day with annual production of 788.24, 338.81 and 6045.02 MT, respectively. The yearly population estimates based on complete enumeration, viz., indigenous cattle (n1 = 0.179 million), crossbred cattle (n2 = 0.291 million), and buffalo (n3 = 2.22 million). The findings reveal that high temperatures (> 38 °C) combined with elevated humidity (> 70%) during July and August significantly reduce milk production, whereas winter temperatures exhibit negligible effects. Notably, PET (p < 0.01 for May and June across all species) emerges as a critical climatic indicator alongside THI and heatwaves, necessitating its integration with solar radiation, ambient temperature, and vapour pressure in climate impact assessments. These results underscore PET's role in shaping adaptive strategies for sustainable livestock production amid global warming.},
}

@article {pmid42337716,
year = {2026},
author = {Aydın, CM and Karabulutlu, Ö and Kavas, T},
title = {The relationship between climate change anxiety, death anxiety, and psychological resilience in older adults with chronic illnesses.},
journal = {BMC geriatrics},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12877-026-07868-y},
pmid = {42337716},
issn = {1471-2318},
abstract = {AIM: This study employed a descriptive, a cross-sectional and analytical (correlational) design to determine the relationship between climate change anxiety, death anxiety, and psychological resilience among older adults with chronic illnesses living in Kars, located in eastern Turkey.

MATERIALS AND METHODS: The study was carried out from March 2025 to November 2025 with the participation of 386 older adults living in Kars. The study data were collected online using an "Information Form," the "Climate Change Anxiety Scale (CCAS)," the "Psychological Resilience Scale (PRS)," and the "Death Anxiety Scale (DAS)." The data obtained in the study were analyzed using the DataBeeg 1.0 program. The chi-square test, Mann-Whitney U test, Kruskal-Wallis H test, Bonferroni test for difference comparison, and Spearman rank correlation analysis were used in the evaluation of the data. The statistical significance level was accepted as p < 0.05.

RESULTS: The study found that the mean scores for the climate change anxiety scale (3.61 ± 0.56), psychological resilience scale (2.79 ± 0.46), and death anxiety scale (13.13 ± 2.13) were moderate. A low-level negative correlation (r = - 0.124, p = 0.015) was found between the Climate Change Anxiety Scale and the Psychological Resilience Scale, while a low-level positive correlation (r = 0.258, p < 0.001) and a moderate negative correlation (r = - 0.307, p < 0.001) were observed between the Psychological Resilience Scale and the Death Anxiety Scale (p < 0.05). Female participants' climate change anxiety and death anxiety scale scores were found to be statistically significantly higher than those of male participants (p < 0.05).

CONCLUSION: High climate change anxiety and death anxiety were associated with decreased psychological resilience in older adults with chronic diseases. It is recommended that intervention programs be implemented that take into account socio-economic characteristics and gender differences to improve the health status of older adults, increase their quality of life, develop health systems, and reduce psychological effects.},
}

@article {pmid42340043,
year = {2026},
author = {Almeida-Val, F and Fernandes Silva-Junior, E and Silva-Neto, AV and Silva, BM and Braga, FNS and Gomes, EO and Castro, DB and Fabbri, C and Lima, LS and Murta, FLG and Cruz-Neto, RMA and Almeida, TVR and Sampaio, VS and Arêas, GPT and Monteiro, WM},
title = {Climate change and tropical medicine in the Amazon: contributions from a research center, gaps and future priorities.},
journal = {Revista da Sociedade Brasileira de Medicina Tropical},
volume = {59},
number = {suppl 1},
pages = {e0470},
doi = {10.1590/0037-8682-0470-2025},
pmid = {42340043},
issn = {1678-9849},
mesh = {Humans ; *Climate Change ; Animals ; *Tropical Medicine ; Brazil ; Tropical Climate ; Evidence Gaps ; },
abstract = {The Amazon Basin is undergoing rapid climatic and environmental changes, with direct impacts on infectious disease transmission and public health. Rising temperatures, altered rainfall patterns, and more frequent extreme events are reshaping vector and pathogen dynamics. Additionally, deforestation and land-use change increase human and animal exposure. These combined factors intensify the risk of disease transmission in the region. This narrative review synthesizes evidence generated by researchers from a reference center in tropical medicine in the Amazon, integrating epidemiological analyses, experimental studies, ecological and predictive modelling, and health systems research conducted over the past decade. The evidence indicates that temperature and hydrological variability affect vector competence, pathogen development, and host-vector contact rates, producing nonlinear and context-dependent transmission outcomes. Extreme hydroclimatic events additionally disrupt healthcare delivery, hinder surveillance, and compromise continuity of care for infections requiring sustained treatment, such as tuberculosis and HIV. Emerging advances, including species distribution modelling, remote sensing, and integrated climate-epidemiological surveillance, provide predictive capacity to anticipate outbreaks and identify emerging hotspots. However, substantial research gaps persist, particularly regarding multi-stressor interactions, mechanistic pathways of climate-pathogen-vector adaptation, and health system resilience under climatic extremes. From the perspective of a reference center that integrates education, research, and healthcare delivery in tropical medicine, this article articulates a research agenda for climate-informed tropical medicine, highlighting priorities for interdisciplinary research, surveillance innovation, and adaptive public health strategies in the Amazon and other climate-sensitive regions.},
}

Humans
*Climate Change
Animals
*Tropical Medicine
Brazil
Tropical Climate
Evidence Gaps

@article {pmid42341052,
year = {2026},
author = {Probst, CM and Yanco, S and Clark, I and Ziebell, M and Fuirst, M and Mackenzie, SA and Ibáñez, I and Weeks, BC},
title = {Resource declines shape phenological and morphological responses to climate change.},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
volume = {123},
number = {26},
pages = {e2607714123},
doi = {10.1073/pnas.2607714123},
pmid = {42341052},
issn = {1091-6490},
support = {2022-74687//David and Lucile Packard Foundation (PF)/ ; },
mesh = {Animals ; *Climate Change ; *Swallows/physiology/anatomy & histology ; Insecta/physiology ; Population Dynamics ; Biodiversity ; Biomass ; },
abstract = {Biodiversity is declining, with cascading effects of defaunation expected across trophic levels. Widespread population declines may drive general biotic responses to global change and determine their fitness effects. We find that a 62% decrease in insect biomass over a half-century altered the morphology, survival, and breeding phenology of an aerial insectivore, the tree swallow (Tachycineta bicolor). Low-insect years resulted in decreased tree swallow body mass, with the fitness landscape shifting to favor smaller individuals. Earlier, more temporally variable, and less-pronounced peaks in insect abundance eroded the benefits of phenological synchronization across trophic levels. This phenomenon-which we term trophic decay-led to advantageous phenological mismatch in low-insect years. Our results suggest classic responses to climate change must be evaluated within the context of widespread resource declines.},
}

Animals
*Climate Change
*Swallows/physiology/anatomy & histology
Insecta/physiology
Population Dynamics
Biodiversity
Biomass

@article {pmid42328693,
year = {2026},
author = {Li, J and Liu, Q and Gong, X and Ruan, L and Guan, B},
title = {Climate-Induced Genomic Selection: Genetic Structure Variation of Cornus kousa subsp. chinensis and Its Adaptive Reaction to Future Climate Change.},
journal = {Evolutionary applications},
volume = {19},
number = {6},
pages = {e70281},
pmid = {42328693},
issn = {1752-4571},
abstract = {Global climate change exerts a far-reaching influence on the geographical distribution, phenological patterns, and genetic diversity of plants, presenting a grave challenge to the survival and evolution of species. Owing to its robust ecological adaptability, restricted dispersal capacity, and abundant intraspecific variation, Cornus kousa subsp. chinensis has emerged as an ideal subject for investigating the responses of woody plants to climate change. Consequently, this study employed the landscape genomics approach to evaluate the survival risks faced by C. kousa under the present and future (2060-2080) climate scenarios (RCP45 and RCP85). A total of 348 leaf samples were gathered from 25 populations of C. kousa spanning diverse regions of China. The research revealed that, under the prevailing climate conditions, the genetic diversity within the populations is remarkably abundant. Nevertheless, the POPs model forecasts that the genetic structure will undergo substantial alterations in future climate scenarios. Notably, 93.6% of the populations will be grouped into a solitary common cluster, and the genetic variation will be conspicuously homogenized. Through BayeScan and Latent Factor Mixed Model (LFMM) analyses, 67 Single Nucleotide Polymorphism (SNP) loci significantly associated with climate factors were identified. Among these loci, 90.3% are closely correlated with the annual mean temperature (Bio 1), suggesting that temperature serves as the primary driving force for adaptive selection at the genomic level. In summary, our findings not only offer valuable perspectives for the conservation of the genetic resources of the C. kousa population but also provide significant reference value for the formulation of subtropical forest conservation strategies.},
}

@article {pmid42331560,
year = {2026},
author = {Zeljic, K and Rasolomalala, N and Michalek, JE and Solomon, S and Rasamison, H and Ramaroson, S and Hadfield, K and Mareschal, I},
title = {Unheard voices: the overlooked mental health toll of climate change in vulnerable communities.},
journal = {BMJ mental health},
volume = {29},
number = {1},
pages = {},
doi = {10.1136/bmjment-2025-302344},
pmid = {42331560},
issn = {2755-9734},
mesh = {Humans ; *Climate Change ; *Mental Health ; *Vulnerable Populations/psychology ; Internet ; Developing Countries ; },
abstract = {Climate change has an increasing physical and mental health toll on young people globally. In this Perspective, we suggest that the extent of mental health impacts is likely to be underestimated in the low- and middle-income countries which are most vulnerable to the effects of climate change. We highlight a strong global inverse relationship between internet connectivity and climate vulnerability, which poses significant challenges for understanding climate change's worldwide mental health impacts and for developing effective mitigation strategies. Inclusive methodologies that enable engagement with offline but climate-vulnerable communities are therefore needed. Such locally grounded mental health research is essential to ensure that climate policies are informed by the lived experiences of populations on the frontlines of the crisis, many of whom remain digitally disconnected and excluded from much current research.},
}

Humans
*Climate Change
*Mental Health
*Vulnerable Populations/psychology
Internet
Developing Countries

@article {pmid42333244,
year = {2026},
author = {Orr, SA and Zhao, S and Thomas, H and Guzman, P and Hotchkiss, C and Seekamp, E and Xiao, X and Aquilani, C and Ghaderpour, E and Grau-Bové, J and Ishizawa, M and Lankester, P and Nicu, IC and Ortolani, M},
title = {Challenges of scale in assessing the risks of climate change for heritage.},
journal = {Theoretical and applied climatology},
volume = {157},
number = {7},
pages = {449},
pmid = {42333244},
issn = {0177-798X},
abstract = {Heritage is a living process-our legacy from the past, including social and ecological systems, within which we live today and pass on to future generations. Assessing climate change risks is essential for understanding how hazards, exposure, vulnerability, and responses interact to produce impacts for heritage. These interactions operate across diverse spatial and temporal scales. Current approaches to risk assessment evaluate the scales of climate data, heritage processes, and governance decisions implicitly, leading to misalignments that limit how effectively risks are identified, interpreted, and managed. Here we show that these misalignments arise when observational, measurement, and operational scales diverge. The observational scale defines the boundary and timeframe of a risk assessment. The measurement scale concerns the resolutions of data used, from global climate models to site-level monitoring. The operational scale represents those of underlying processes, from short-term flooding to multi-decadal maintenance and knowledge transmission. When these scales diverge, mismatches obscure how climate change risks are understood and managed. These mismatches reveal not only technical challenges but also deeper divides between knowledge systems, institutional actions, and governance structures. A scale-aware approach can help translate risk assessments into effective actions, aligning data, processes, and responsibilities.},
}

@article {pmid42333728,
year = {2026},
author = {Wang, Y and Qu, H and Shu, X and Liu, Q and Cao, J and Liu, Y and Jiang, F and Shu, J},
title = {Emerging Trends and Research Frontiers in Climate Change and Asthma: Insights From a Two-Decade Bibliometric Analysis.},
journal = {Canadian respiratory journal},
volume = {2026},
number = {1},
pages = {e5546333},
doi = {10.1155/carj/5546333},
pmid = {42333728},
issn = {1916-7245},
mesh = {Humans ; Air Pollution/adverse effects ; Allergens ; *Asthma/epidemiology/etiology ; *Bibliometrics ; *Climate Change ; },
abstract = {BACKGROUND: Climate change has emerged as a major public health challenge, with significant implications for respiratory diseases such as asthma. Environmental factors, including air pollution, aeroallergens, and extreme weather events, are closely linked to asthma exacerbations, yet the global research landscape on this topic remains fragmented. This study aimed to systematically map research trends, hotspots, and emerging frontiers in the field of climate change and asthma over the past two decades.

METHODS: Publications from January 1, 2005, to March 31, 2025, were retrieved from the Web of Science Core Collection (WoSCC) using a defined search strategy. Only articles and reviews in English were included, resulting in a final dataset of 1033 publications. CiteSpace was employed for bibliometric analysis, including coauthorship, cocitation, and keyword co-occurrence mapping, as well as cluster and burst detection, to identify influential contributors, collaborative networks, and thematic evolution.

RESULTS: Annual publications increased steadily, peaking in 2024. The United States and China were the most prolific countries, with Harvard T.H. Chan School of Public Health, Harvard University, and Columbia University among the leading institutions. Key research hotspots included climate-related environmental exposures (e.g., PM2.5, ozone, and temperature variability), allergen dynamics (e.g., pollen, ragweed, and fungal spores), vulnerable populations (particularly children), and public health impacts. Emerging frontiers encompassed interdisciplinary integration, predictive modeling, mechanistic studies focusing on oxidative stress and immune regulation, and climate adaptation strategies. Despite progress, challenges remain in integrating asthma-specific measures into climate-health policies, conducting long-term multinational studies, and advancing translational research.

CONCLUSIONS: This bibliometric analysis provides a comprehensive overview of the global research landscape on climate change and asthma, revealing thematic evolution from allergen and epidemiological studies toward mechanistic and policy-oriented research. Strengthening interdisciplinary collaboration, enhancing global data sharing, and embedding asthma prevention into broader climate mitigation and adaptation frameworks will be critical for reducing the respiratory health burden in a changing climate.},
}

Humans
Air Pollution/adverse effects
Allergens
*Asthma/epidemiology/etiology
*Bibliometrics
*Climate Change

@article {pmid42333759,
year = {2026},
author = {Galanis, E and Ogden, NH},
title = {Climate change and emerging diseases: challenges for physicians in Canada.},
journal = {CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne},
volume = {198},
number = {19},
pages = {E747-E748},
doi = {10.1503/cmaj.260668},
pmid = {42333759},
issn = {1488-2329},
}

@article {pmid42334376,
year = {2026},
author = {Zhao, X and Liu, Y and Yan, M and Wang, R and Xiao, J and Guo, J},
title = {The Impact of Climate Change on the Climatic Suitability of Rhipicephalus microplus in Mainland China.},
journal = {Vector borne and zoonotic diseases (Larchmont, N.Y.)},
volume = {},
number = {},
pages = {15303667261463014},
doi = {10.1177/15303667261463014},
pmid = {42334376},
issn = {1557-7759},
abstract = {BACKGROUND: Rhipicephalus microplus, a one-host tick species, serves as a principal vector of tick-borne diseases in agricultural ecosystems worldwide by harboring and transmitting various pathogens through blood-feeding. In China, the climatically suitable range of R. microplus has been gradually expanding. However, the climatic suitability of R. microplus under future climate change scenarios remains unclear.

METHODS: This study evaluates both current and projected climatic suitability of R. microplus by integrating climatic variables, thereby providing insight into shifts in climatic suitability under present and future climate conditions. The MaxEnt model was applied using 78 occurrence records of R. microplus collected from 1970 to 2023, along with 19 environmental variables obtained from WorldClim. By identifying the most influential environmental factors affecting the climatic suitability of R. microplus, we predicted future changes under three Shared Socioeconomic Pathways (SSP126, SSP245, SSP585) for three future periods (2021-2040, 2041-2060, and 2061-2080).

RESULTS: This study indicates that the current climatically suitable areas for R. microplus are mainly located in southern China, covering approximately 1,051,406 km[2], which accounts for about 10.91% of China's total land area. The minimum temperature of the coldest month (Bio06, 69.6%) and precipitation of the warmest quarter (Bio18, 20.1%) were identified as the most influential climatic variables. Under future climate scenarios, the suitable habitat for R. microplus is projected to expand and shift northward. By 2061-2080 under the SSP585, the suitable area could reach up to 2,994,700 km[2], representing a 2.85-fold increase relative to its current extent.

CONCLUSIONS: This study projects a significant northward expansion of climatic suitability for R. microplus in mainland China under future climate scenarios, driven primarily by rising minimum winter temperatures. These findings highlight an urgent need for proactive, climate-integrated surveillance and adaptive control strategies to mitigate the growing threat of this tick vector and its associated diseases in newly vulnerable regions.},
}

@article {pmid42335178,
year = {2026},
author = {Booth, EJ and Brauer, CJ and Sandoval-Castillo, J and Wedderburn, SD and Whiterod, NS and Unmack, PJ and Hammer, MP and Beheregaray, LB},
title = {Genomic vulnerability to climate change of a poorly dispersing and threatened fish, the southern pygmy perch (Nannoperca australis).},
journal = {The Journal of heredity},
volume = {},
number = {},
pages = {},
doi = {10.1093/jhered/esag052},
pmid = {42335178},
issn = {1465-7333},
abstract = {Small and isolated populations often have low levels of standing genetic variation, which limits their capacity to evolutionarily adapt to climate change. In freshwater ecosystems, habitat fragmentation caused by instream barriers and water regulation is a prominent global issue impacting on connectivity among populations. We investigated genomic vulnerability to climate change in a small-bodied and poorly dispersing species, the southern pygmy perch, in Australia's Murray-Darling Basin (MDB). We used a genome-wide dataset for 467 individuals from 30 sites covering the range of the species in the MDB. This included temporal sampling of a population in the Lower Lakes region, prior to its extirpation during the Millennium Drought and after its re-establishment through a captive breeding and reintroduction program. Southern pygmy perch exhibited high levels of population structure, with 11 distinct genetic clusters mainly delineated by river catchments. Genetic diversity was low, especially in small and isolated headwater populations. Genomic vulnerability, assessed via a genomic offset approach, correlated positively with elevation, being generally higher in upland and lower in lowland populations. We suggest that elevation could potentially serve as a proxy for climate change vulnerability in dendritic freshwater systems, particularly for species with limited dispersal capacity. The signal of low genomic vulnerability for the Lower Lakes population was consistent both before and after ex situ captive breeding and reintroduction. This highlights the importance of downstream populations as sinks of diversity. It also shows that integrating genetic management into captive breeding programs can help maintain climatic adaptive potential in threatened populations.},
}

@article {pmid42335801,
year = {2026},
author = {Fernández-Vizcaíno, E and Molero-Baltanás, R and Carbonell, J and Gaju-Ricart, M and Camacho, A},
title = {Which are the most heat-tolerant animals? Insights from a Mediterranean lepismatid under thermal stress in the context of climate change.},
journal = {Journal of thermal biology},
volume = {139},
number = {},
pages = {104517},
doi = {10.1016/j.jtherbio.2026.104517},
pmid = {42335801},
issn = {0306-4565},
abstract = {Measuring the thermal limits of insects is crucial for understanding how thermoregulatory behavior and thermal tolerance interact with the environment. A key question is the maximal temperature terrestrial animals can endure and how plastic these limits are under extreme conditions. Lepismatids are a basal group of insects with remarkable diversity in arid habitats, making them promising candidates for extreme thermoresistance, yet their thermal ecology remains largely unexplored. We present the first experimental evaluation of acclimation effects on voluntary (VTmax), critical (CTmax), and upper lethal thermal limits (UTL) in the Mediterranean silverfish Sceletolepisma guadianicum. Individuals were acclimated for 6 day at either 25°C (n = 32) or 35°C (n = 29) and gradually heated (∼0.5°C min[-1]), with VTmax, CTmax, and lethal limits recorded. S. guadianicum exhibited some of the highest thermal limits reported among terrestrial arthropods: VTmax averaged 50.92°C, CTmax 54.45°C, and UTL 55.85°C, suggesting that extreme thermal resistance among terrestrial arthropods may be more widespread across diverse ecosystems than previously recognized. Thermal limits were consistent between sexes, while VTmax showed slight (1.04°C) but significant plasticity, increasing with higher acclimation temperature and heating rate, whereas CTmax and UTL remained unchanged. This decoupling of behavioral and physiological thermal limits indicates that extreme heat tolerance in terrestrial ectotherms relies on constitutive physiology, with behavioral avoidance as the main flexible buffer. Our findings underscore the importance of integrating physiological and behavioral metrics when assessing animals' heat tolerance and we provide hypotheses explaining the co-occurrence of exceptional heat tolerance with limited plasticity in this and other highly heat-tolerant species.},
}

@article {pmid42336541,
year = {2026},
author = {Pui, DYH and Cao, Q and Kuehn, T and Lo, C and Chen, SC},
title = {Large-scale PM2.5 removal and CO2 direct air capture to mitigate ambient air pollution and combat global climate change.},
journal = {Journal of environmental sciences (China)},
volume = {166},
number = {},
pages = {37-47},
doi = {10.1016/j.jes.2025.06.065},
pmid = {42336541},
issn = {1001-0742},
abstract = {This paper summarizes a decade of development of a Solar-Assisted Large-Scale Cleaning System (SALSCS) aimed at mitigating urban PM2.5. This effort has led to the construction and operation of four SALSCS units located in Xi'an (China), Yancheng (China), and New Delhi (India). Six papers have been published to document the modeling, design, construction, operation, and measurement of three generations of SALSCSs. The Weather Research and Forecasting (WRF) model was utilized to obtain local meteorological information and solar intensity conditions around the SALSCS. Reynolds-Averaged Navier-Stokes (RANS) simulations and Large Eddy Simulation (LES) have been employed to study the flow patterns and clean air concentration profiles near the units. The first generation SALSCS (Xi'an) takes the form of an updraft solar tower that utilizes solar heating to drive a large volume of air flow through the SALSCS. Filters are positioned along the flow path to remove PM2.5, resulting in cleaner air exiting the top of the tower. In the second generation SALSCS (Yancheng), the media filters are replaced with water spray to scrub out PM2.5. The third generation SALSCS (New Delhi) employs a set of fans to draw PM2.5 from the tower inlet through prefilters and final filters, blowing the cleaned air out near ground level to pedestrians surrounding the SALSCS. A proposal is presented that combines the 1st and 2nd Generation SALSCSs equipped with solar panels and direct air capture (DAC) of CO2 to achieve energy self-sufficiency and large-scale capture of 100 million tons of CO2 annually (100 Mt CO2/yr).},
}

@article {pmid42323599,
year = {2026},
author = {Akaras, E and Sözlü, U},
title = {The relationship between future anxiety and global climate change awareness among physiotherapy students in Turkey: a cross-sectional study.},
journal = {BMC medical education},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12909-026-09696-5},
pmid = {42323599},
issn = {1472-6920},
abstract = {BACKGROUND: The climate crisis is not just an environmental issue; it's a profound public health emergency that is deeply affecting the mental well-being of young people, leading to widespread eco-anxiety. As the future frontline of healthcare, physiotherapy students will inevitably have to manage the health consequences of climate change. Yet, we know surprisingly little about how prepared they are specifically, how their own awareness of the crisis connects with their anxiety about the future. This exploratory study aimed to provide preliminary findings on the relationship between global climate change awareness and future anxiety among physiotherapy students in Turkey.

METHODS: We conducted a cross-sectional study with 394 physiotherapy students (mean age 21.3 ± 3.0; 74.6% female) from the state universities. Using an online survey, we gathered data on their demographic and social characteristics, along with their scores on two validated scales: the Awareness Scale of University Students About Global Climate Change (ASUSGCC) and the Future Anxiety Scale for University Students (FASUS). We analyzed the data using Pearson correlation to examine the relationship between climate change awareness and future anxiety, and univariable linear regression analyses to explore factors associated with climate change awareness.

RESULTS: Overall, students reported a moderate level of climate change awareness (ASUSGCC mean: 3.4 ± 0.7) and a notable level of future anxiety (FASUS mean: 61.6 ± 8.6). We found a statistically significant, positive, but weak correlation between total climate awareness and total future anxiety (r = 0.168, p < 0.01). The regression analyses showed that several variables were statistically associated with higher awareness scores, although the explained variance was low. Female gender (β = 0.273, p = 0.001), environmental volunteering (β = 0.180, p = 0.019), and more frequent use of social media for climate-related information (β = 0.167, p = 0.001) were associated with higher climate change awareness. Higher total future anxiety was weakly but statistically significantly associated with higher awareness scores (β = 0.013, p = 0.001). In subscale-level analyses, Future Fear was also weakly associated with awareness (β = 0.009, p = 0.015). Previous environmental training was not significantly associated with climate change awareness (p = 0.466).

CONCLUSIONS: Among physiotherapy students, climate change awareness was weakly but statistically significantly associated with future anxiety. Environmental volunteering and more frequent exposure to climate-related content on social media were also associated with higher awareness scores, whereas previous environmental training was not significantly associated with awareness. However, given the cross-sectional design and possible self-selection into volunteering, these findings should be interpreted as associations rather than evidence that volunteering increases awareness. Future longitudinal or intervention-based studies are needed to examine whether structured environmental engagement can improve climate literacy in physiotherapy education.},
}

@article {pmid42324574,
year = {2026},
author = {Ryu, J and Choi, KS},
title = {Projected distributions of 18 mosquito species in the Republic of Korea under climate change scenarios.},
journal = {Parasites & vectors},
volume = {},
number = {},
pages = {},
doi = {10.1186/s13071-026-07528-5},
pmid = {42324574},
issn = {1756-3305},
support = {grant code 6332-305-320//Korea Disease Control and Prevention Agency/ ; },
abstract = {BACKGROUND: Climate change is altering mosquito distributions and may reshape the risk of mosquito-borne diseases in the Republic of Korea (ROK). However, nationwide, multi-species projections for medically important mosquitoes remain limited.

METHODS: We compiled 1,969 spatially filtered occurrence records for 18 mosquito species and developed species distribution models using MaxEnt. Environmental predictors included bioclimatic, topographic, and land cover variables. Future distributions were projected for the 2030s, 2050s, and 2070s under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios using MIROC6 climate data. A Climate Change Vulnerability Index (CCVI) was calculated to compare species-specific range expansion and contraction.

RESULTS: Current habitat suitability patterns grouped the 18 species into nationwide, northern-preferring, southwestern-preferring, and southern-preferring distribution types. Topographic Wetness Index (36.6%), elevation (18.6%), and land cover type (18.4%) contributed more strongly to model performance than climatic variables alone. Under SSP5-8.5 in the 2070s, Aedes albopictus and Culex tritaeniorhynchus were projected to expand suitable habitat by 183.4% and 236.5%, respectively, whereas northern-preferring Anopheles species showed marked habitat contraction. Anopheles pullus and Anopheles belenrae were projected to lose 100.0% of their suitable habitat under the highest-emission scenario. The CCVI classified five species, mainly Anopheles, as highly vulnerable, one species as moderately affected, and 12 species as range-expanding.

CONCLUSIONS: These findings indicate that climate change may substantially reorganize mosquito communities in the ROK, reducing habitat suitability for several malaria vectors while expanding suitable areas for important arbovirus and Japanese encephalitis vectors. Adaptive surveillance and vector management should therefore integrate climate projections with local landscape and hydrological risk factors.},
}

@article {pmid42324861,
year = {2026},
author = {Lí, JT and Hicks, LC and Brangarí, AC and Rousk, J},
title = {Cross-stressor resilience of soil microbial growth and carbon metabolism under climate change.},
journal = {Ecology},
volume = {107},
number = {6},
pages = {e70439},
doi = {10.1002/ecy.70439},
pmid = {42324861},
issn = {1939-9170},
support = {2023-02438//Swedish research council Formas/ ; KAW 2022.0175//Knut and Alice Wallenberg Foundation/ ; KAW 2023.0384//Knut and Alice Wallenberg Foundation/ ; },
mesh = {*Soil Microbiology ; *Climate Change ; *Carbon/metabolism ; *Bacteria/metabolism/growth & development ; *Stress, Physiological ; Droughts ; },
abstract = {The microbial ability to recover metabolism after perturbation events ensures ecosystem functional stability in a changing climate, where multiple climatic stressors increasingly occur in sequential and seasonally cyclic patterns. While prior exposure to a specific stress can enhance microbial resilience to that stress, whether this resilience extends to different stressors remains largely unexplored. Here, we investigated cross-stressor resilience of microbial communities by testing how prior exposure to one type of perturbation (frost or drought) affects microbial resilience to subsequent perturbations of either type in soil systems. We found that prior exposure to drought or frost enhanced the resilience of microbial growth to subsequent perturbations of either type and enabled the maintenance of higher microbial carbon use efficiency. It is likely that this cross-stressor resilience arose because frost and drought both can exert stress on microbes via effects on water potential. This suggests that induced microbial perturbation resilience can extend beyond the stressor they originally were exposed to, indicating that ecological memory transcends the original stressor. Repeated perturbation cycles did not confer additional resilience beyond a single event, indicating that a single perturbation could shape the microbial community's perturbation resilience. We also identified the lag phase as a critical period defining microbial perturbation resilience. Our findings demonstrate a broader adaptive capability within microbial communities under climate change so far overlooked, where winter frost could impact summer drought resilience and vice versa, creating a need to consider selective environmental drivers across seasons.},
}

*Soil Microbiology
*Climate Change
*Carbon/metabolism
*Bacteria/metabolism/growth & development
*Stress, Physiological
Droughts

@article {pmid42325048,
year = {2026},
author = {Arapović, J and Laura, L and Arapović, M},
title = {Hantaviruses in Southeast Europe: Climate change, rodent reservoirs, and One Health challenges.},
journal = {Biomolecules & biomedicine},
volume = {},
number = {},
pages = {},
doi = {10.17305/bb.2026.14499},
pmid = {42325048},
issn = {2831-090X},
abstract = {Hantaviruses are not emerging pathogens in the strict sense, but their public health relevance is being reshaped by climate change, environmental disruption, land-use change, and increasing human mobility. In Southeast Europe, where Dobrava-Belgrade virus and Puumala virus remain endemic, these infections should no longer be viewed only as sporadic rodent-borne diseases of rural or forested environments. Changing ecological conditions can alter reservoir abundance, virus circulation, and human exposure, while fragmented surveillance and variable diagnostic capacity may obscure the true burden of disease. Although human infection is still driven primarily by environmental exposure to infected rodent excreta, rare person-to-person transmission of Andes virus and recent travel-associated clusters illustrate how traditionally localized zoonoses can acquire wider international relevance. This Opinion argues that hantaviruses should be approached as a climate-sensitive One Health challenge, requiring closer integration of human, veterinary, ecological, and meteorological surveillance. Strengthening regional preparedness is essential before environmental change further expands the conditions for transmission.},
}

@article {pmid42325205,
year = {2026},
author = {Kowalcyk, M and Ogwel, B and Karnauskas, KB and Badji, H and Juma, J and Hossain, MJ and Omore, R and Kotloff, K and Buchwald, A},
title = {The projected impact of climate change on the burden of Cryptosporidium in Mali, Kenya, and The Gambia.},
journal = {The Journal of infectious diseases},
volume = {},
number = {},
pages = {},
doi = {10.1093/infdis/jiag306},
pmid = {42325205},
issn = {1537-6613},
abstract = {BACKGROUND: Cryptosporidium is an important cause of moderate-to-severe diarrhea (MSD) among children under five, with the highest burden in Sub-Saharan Africa (SSA). Cryptosporidium is highly climate sensitive, yet there has been no published literature projecting the incidence of Cryptosporidium under climate change in SSA where vulnerability to climate change is highest.

METHODS: Utilizing monthly case counts of Cryptosporidium from two case-control studies in The Gambia, Kenya, and Mali, we modeled the relationship between monthly temperature, precipitation, and vulnerability factors with Cryptosporidium incidence by study site using Bayesian Network models. Global climate models were then used to project temperature and precipitation at each site in 2040 and 2055 under two emission scenarios. Future Cryptosporidium incidence was estimated based on projected climate and future vulnerability scenarios.

RESULTS: Global climate models predict increasing temperatures at all sites and increasing rainfall in Kenya under all scenarios. Incidence of Cryptosporidium per 10,000 children is predicted to change by -16.93 (range: -24.84 - 8.92), -4.34 (range: -24.50 - 9.70), and 24.81 (range: 10.41 - 44.06) % in Kenya, Mali, and The Gambia, respectively from baseline (2007 to 2015) to 2055 under high carbon emissions. These estimates are influenced by future vulnerability levels.

CONCLUSIONS: The effect of climate change on Cryptosporidium incidence will be location and climate specific, however whether or not vulnerability factors remain stable will have a strong influence on what future Cryptosporidium looks like. Prioritizing development in areas with the highest burden of climate-sensitive health outcomes can mitigate the impact of climate change.},
}

@article {pmid42325862,
year = {2026},
author = {Román-Ponce, B and Rojas-Rojas, FU},
title = {Editorial for special issue "Microorganisms and food security under climate change scenarios: From taxonomy to host-microbe interactions".},
journal = {Current research in microbial sciences},
volume = {10},
number = {},
pages = {100601},
pmid = {42325862},
issn = {2666-5174},
abstract = {•Climate change and environmental stressors are major drivers affecting global food security and agricultural sustainability.•Microbial communities play a central role in nutrient cycling, plant health, and ecosystem resilience.•Climate variability alters microbial diversity, functions, and plant...microbe interactions.•Beneficial microorganisms enhance crop tolerance to abiotic and biotic stresses.•Microbiome-based strategies offer sustainable alternatives to chemical inputs in agriculture.•Advances in microbial genomics enable the exploration and application of microbial diversity.•Biological control agents represent eco-friendly solutions for plant disease management.•Integrating microbial taxonomy, ecology, and biotechnology is key to climate-resilient food systems.},
}

@article {pmid42326397,
year = {2026},
author = {Cherdthong, A and Foiklang, S and Altermann, E},
title = {Editorial: Assessing the environmental impact of ruminants: mitigation strategies and climate change implications.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1883961},
pmid = {42326397},
issn = {1664-302X},
}

@article {pmid42328477,
year = {2026},
author = {Zhou, Y and Zheng, Q and Liu, F and Han, Z and Liu, H and Wang, X and Gao, H and Pan, H and Li, Y and Ma, J and Zhou, C and Li, Y and Liu, H},
title = {Climate Change and Hydropower Impacts on Habitat Suitability of Endangered Schizothoracinae Fishes in the Qinghai-Xizang Plateau.},
journal = {Ecology and evolution},
volume = {16},
number = {6},
pages = {e73786},
pmid = {42328477},
issn = {2045-7758},
abstract = {Climate change and human disturbance threaten freshwater biodiversity, particularly endangered species on the Qinghai-Xizang Plateau. Oxygymnocypris stewartii, Schizothorax macropogon, and Schizothorax waltoni (Schizothorax spp. hereafter) are Class II Protected Species in China, indigenous to the Qinghai-Xizang Plateau, and primarily distributed in the middle and upper Yarlung Zangbo River (MUR). Based on species distribution points, the Maximum Entropy (MaxEnt) model was used to simulate potentially suitable habitats and identify key environmental factors for Schizothorax spp. Ecologically suitable areas were reconstructed using a kernel density estimation (KDE) algorithm that incorporates hydropower plants, and future distribution dynamics were predicted under various climate scenarios. Results indicated that the flow accumulation and the mean temperature of the coldest quarter were the primary environmental factors affecting Schizothorax spp. For Schizothorax spp., the suitable habitat exhibited a non-monotonic trend: it increased before the 2050s (up to 108.28% at 2050s-SSP7.0), then turned downward by the 2070s (18.1% at 2070s-SSP2.6). Moreover, habitat suitability sustained expansion at the upper reaches, with the rate of expansion increasing with the intensification of radiative forcing, and projected an increase in elevation at SSP7.0 and SSP8.5. At the local scale, however, hydropower plants pose a deterministic threat, causing permanent habitat loss of Schizothorax spp. in the middle and lower reaches. Overall, the model predicts that future climate-driven events may lead to a spatial expansion of potentially suitable habitats for Schizothorax spp. However, due to limitations in hydrological connectivity and the unique characteristics of fish, these high-altitude habitats face significant constraints. Enhanced conservation efforts in the Saga, Angren, and Miling basins of the MUR are recommended, along with continuous monitoring and early warning of changes in habitat suitability to protect the Schizothoracinae conservation areas.},
}

@article {pmid42328481,
year = {2026},
author = {Yang, Y and Ma, J and Chen, X and Zhang, L and Tu, P and Pan, Y},
title = {The Impact of Climate Change on the Spatial Distribution of Seven Meconopsis Species in China: A MaxEnt Model-Based Predictive Analysis.},
journal = {Ecology and evolution},
volume = {16},
number = {6},
pages = {e73824},
pmid = {42328481},
issn = {2045-7758},
abstract = {Plant distribution correlates with climate change, especially in mountain flora. Using an optimized MaxEnt model and the latest WorldClim 2.1 bioclimatic data, this study identified the key environmental determinants of habitat suitability and projected the current and future distribution patterns of seven Meconopsis spp. in China under various climate change scenarios. Results reveal that the primary environmental variables shaping the distribution are isothermal (bio3), seasonal variation coefficient of temperature (bio4), and elevation. Seven taxa were concentrated in southwestern China, with suitable habitats encompassing 1.3% to 10.1% of the land area in China. Under future climate scenarios, M. lyrata is expected to experience a decline in habitat suitability, and other species showed mixed responses. Given the limited extent of suitable habitats for most Meconopsis species in China, ex-situ conservation-particularly through initiatives spearheaded by national botanical research institutions-should prioritize domestication and conservation efforts to safeguard genetic diversity.},
}

@article {pmid42328670,
year = {2026},
author = {Parry, H and Randhir, TO},
title = {Climate change effects on hydrologic processes and water quality in the Connecticut River watershed.},
journal = {PeerJ},
volume = {14},
number = {},
pages = {e21242},
pmid = {42328670},
issn = {2167-8359},
mesh = {*Climate Change ; *Rivers/chemistry ; *Water Quality ; Connecticut ; Hydrology ; Seasons ; Phosphorus/analysis ; Nitrogen/analysis ; Models, Theoretical ; Environmental Monitoring ; },
abstract = {Increased frequency and intensity of extreme weather events, driven by climate change, are expected to alter hydrological and water quality processes in the Connecticut River watershed. This study aims to model the temporal and spatial impacts of climate change on the watershed's hydrology and nutrient dynamics. We used the Hydrologic and Water Quality System (HAWQS), which incorporates the Soil and Water Assessment Tool (SWAT), to establish a baseline scenario and assess two climate scenarios: Coupled Model Intercomparison Project (CMIP5-) Representative Concentration Pathways (RCP) 4.5 and RCP 8.5. The model was validated using observed data from the United States Geological Survey (USGS) gage sites. Our results show that both climate scenarios will cause significant changes in hydrological processes, including a shift in precipitation seasonality, with more rainfall expected during winter and early spring. These changes will affect nutrient loading, shifting the seasonal peaks of nitrogen and phosphorus. Notably, the nitrogen-to-phosphorus ratio is projected to decrease across the entire watershed under both climate scenarios. These findings suggest that the altered hydrological regime and nutrient dynamics could have cascading effects on aquatic ecosystems, impacting phytoplankton and algal growth, with important implications for future nutrient management strategies.},
}

*Climate Change
*Rivers/chemistry
*Water Quality
Connecticut
Hydrology
Seasons
Phosphorus/analysis
Nitrogen/analysis
Models, Theoretical
Environmental Monitoring

@article {pmid42321392,
year = {2026},
author = {Abebe, M and Woldu, Z and Asfaw, Z and Warkineh, B},
title = {Projecting the spatio-temporal habitat suitability of Striga hermonthica under climate change scenarios in Ethiopia using ensemble modeling.},
journal = {Scientific reports},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41598-026-58168-9},
pmid = {42321392},
issn = {2045-2322},
abstract = {Striga hermonthica is a root-parasitic plant that attacks many important cereal crops, including sorghum, teff, and rice. It is one of the most destructive agricultural weeds, posing a major threat to food security in Ethiopia. This study aimed to map suitable habitats for S. hermonthica in Ethiopia and to evaluate potential changes in its range under projected climate scenarios for 2050 and 2070. One hundred thirty-two spatially filtered occurrence records were used in distribution modeling. Prior to modeling, the environmental variables were tested for multicollinearity using Pearson correlation and Variance Inflation Factor, leading to the selection of 10 uncorrelated predictors. The ensemble model, built using seven algorithms with 10 replicates each, demonstrated strong performance (mean AUC = 0.92; TSS = 0.75). The most influential environmental variables were precipitation during the warmest quarter and temperature seasonality. Under current climate conditions, approximately 234,326.35 km[2] were found suitable for the weed. Projections under both intermediate and high-emission scenarios indicate a likely expansion of its range. Northern, northwestern, western, and eastern lowlands of Ethiopia are comparatively identified as risk area for this weed. Thus, all stakeholders, including researchers, policymakers, farmers and governmental and non-governmental organizations, should take early expansion-controlling management plan like create awareness for farmers.},
}

@article {pmid42321915,
year = {2026},
author = {Hu, W and Gan, T},
title = {Climate change and zoonotic spillover: lessons from recent hantavirus events.},
journal = {BMC global and public health},
volume = {4},
number = {1},
pages = {},
pmid = {42321915},
issn = {2731-913X},
}

@article {pmid42315610,
year = {2026},
author = {Gyawali, P and Shrestha, B and Phanomsophon, T and Posom, J and Pornchaloempong, P and Sirisomboon, P and Shrestha, BP and Funke, A},
title = {Author Correction: Predicting biomass global warming potential with FT-NIR spectroscopy.},
journal = {Scientific reports},
volume = {16},
number = {1},
pages = {},
doi = {10.1038/s41598-026-57969-2},
pmid = {42315610},
issn = {2045-2322},
}

@article {pmid42315929,
year = {2026},
author = {Parameswaran, G and Deo, SV and Rajagopalan, S},
title = {Climate change, food system disruption and future cardiometabolic disease burden.},
journal = {Nature reviews. Cardiology},
volume = {},
number = {},
pages = {},
pmid = {42315929},
issn = {1759-5010},
}

@article {pmid42316093,
year = {2026},
author = {Wolgast, A and Di Marco, D and Renedo, S and Arenas, A and Gomes, B and Giannacourou, M and Kaciene, G and Lengemann, T and Carvalho, C and Rutkauskiene, D},
title = {Natural climate-change-related crises: a systematic review of organizational and community preparedness and resilience.},
journal = {BMC public health},
volume = {26},
number = {1},
pages = {},
pmid = {42316093},
issn = {1471-2458},
support = {2024-1-DE02-KA220-VET-000252882//European Commission/ ; },
mesh = {Humans ; *Climate Change ; *Disaster Planning/organization & administration ; *Resilience, Psychological ; Community Participation ; *Natural Disasters ; },
abstract = {BACKGROUND: Climate change has intensified the frequency and severity of natural disasters, presenting profound challenges to the resilience of communities and organizations. While preparedness and resilience interventions aim to mitigate the impact of these crises by fostering adaptive capacities, the local conditions, diversity, and educational dimensions of such interventions remain underexplored in the literature. This preregistered qualitative systematic review aimed to (a) identify and categorize organizational and community-based preparedness and resilience interventions addressing natural climate change-related crises; (b) map the reported effectiveness of these interventions in enhancing preparedness and resilience; and (c) explore the role of empowering education in strengthening resilience at both the community and organizational levels.

METHODS: Following the PRISMA 2020 guidelines, we systematically searched, screened, and mapped quantitative and qualitative primary studies on preparedness and resilience interventions. We included studies addressing natural hazards in community or organizational settings. A total of 2,356 records were screened, and 57 studies met the inclusion criteria.

RESULTS: The thematic synthesis revealed that described interventions often rely on local conditions, community participation, and place-based education. Empowering education increased preparedness, particularly among youth. However, many interventions are short-term, reactive, and lack structural support or codesign.

CONCLUSION: The reviewed studies support inclusive, context‑sensitive, and sustained approaches to resilience. Across this literature, resilience of communities and organizations facing climate‑related natural hazards is portrayed as emerging from local conditions, social participation, and learning processes rather than from stand‑alone interventions.},
}

Humans
*Climate Change
*Disaster Planning/organization & administration
*Resilience, Psychological
Community Participation
*Natural Disasters

@article {pmid42317563,
year = {2026},
author = {Zou, C and Jansen, JD and Dou, X and Dai, L and Xu, Q and Fan, X},
title = {Elevation-dependent landsliding driven by climate change in the eastern Himalayan syntaxis.},
journal = {National science review},
volume = {13},
number = {10},
pages = {nwag238},
pmid = {42317563},
issn = {2053-714X},
abstract = {Has climate change escalated landsliding in high mountain regions? We compiled an inventory of 8607 climate-related landslides (1987-2020) in the eastern Himalayan syntaxis to investigate how hillslopes in high mountains, particularly cryospheric landscapes, are responding to recent trends in precipitation and temperature. We identify a 5-fold increase in annual landslide volumes at high elevations (>3000 m above sea level) over the past three decades. The landslide distribution is observed migrating upslope in the wake of retreating glaciers and melting permafrost-a trend underpinned by a warming-induced shift in precipitation falling as rain rather than snow. Today, climate-related landsliding in the eastern Himalayas is driving an extreme denudation rate of 1.0 ± 0.3 mm yr[-1], comparable to that of alpine glaciation. Our findings imply that landslide activity across High Mountain Asia is evolving rapidly under climate change, amplifying the sediment cascade and heightening the risk of cascading mountain hazards.},
}

@article {pmid42319917,
year = {2026},
author = {Sojitra, M and Corney, S and Hemer, M and Bestley, S and Hamilton, S and Thalamann, S and Lea, MA},
title = {Extreme weather effects on marine predator breeding outcomes in a global climate change hotspot.},
journal = {Science advances},
volume = {12},
number = {25},
pages = {eaea3220},
doi = {10.1126/sciadv.aea3220},
pmid = {42319917},
issn = {2375-2548},
mesh = {Animals ; *Climate Change ; *Reproduction/physiology ; *Extreme Weather ; *Breeding ; Female ; *Predatory Behavior ; Fur Seals/physiology ; Tasmania ; },
abstract = {Extreme weather events (EWEs) are increasing in both intensity and frequency globally. For long-lived, slow-reproducing marine predators, repeated or sequential EWE-driven breeding failures can have population-level consequences. We quantified effects of EWEs on reproductive output and identified temporal windows of vulnerability during breeding in three sentinel species across 14 colonies with varying population trajectories in Tasmania, Australia. Using long-term breeding datasets and daily weather records, we found that Australian fur seals (Arctocephalus pusillus doriferus), short-tailed shearwaters (Ardenna tenuirostris), and shy albatross (Thalassarche cauta) exhibited species- and colony-specific vulnerabilities. Storm surges reduced pup production in a low-lying fur seal colony, extreme rainfall lowered shearwater breeding success, and albatross productivity declined with exposure to extreme heat, rainfall, and wave events. These results highlight the importance of identifying critical extreme weather thresholds and periods of vulnerability to inform ecological forecasting. Proactive, climate-informed management strategies tailored to specific colonies are needed to enhance the resilience of vulnerable populations under accelerating climate change.},
}

Animals
*Climate Change
*Reproduction/physiology
*Extreme Weather
*Breeding
Female
*Predatory Behavior
Fur Seals/physiology
Tasmania

@article {pmid42320347,
year = {2026},
author = {Nekmahmud, M and Ramkissoon, H and Fekete-Farkas, M},
title = {Pro-environmental behavior in climate change mitigation: The role of psychological distance.},
journal = {Acta psychologica},
volume = {268},
number = {},
pages = {107223},
doi = {10.1016/j.actpsy.2026.107223},
pmid = {42320347},
issn = {1873-6297},
abstract = {This research examines consumer pro-environmental behavior and loyalty to energy-efficient appliances, aiming to mitigate the effects of climate change by integrating construal level theory and environmental responsibility foundational theory as the underlying frameworks. This study further develops a behavioral model to better understand how consumers perceive climate change and how their subjective psychological distance cognitively interprets objects, influencing their purchase behavior for energy-efficient appliances. This study also examines the mediating roles of the environmental responsibility chain with proximal psychological distance and behavioral intention. A structural equation model was applied to explore the model and hypotheses for 1020 valid respondents from Bangladesh. Findings reveal that proximal psychological distance has a significant positive relationship with environmental attitude, environmental ethics, self-responsibility, social responsibility, moral norms and behavior intention. Nevertheless, proximal psychological distance, self-responsibility, and moral norms have an insignificant relationship with consumer loyalty. To our knowledge, it is the first empirical study in Bangladesh to comprehensively explain consumer purchasing behavior intention and loyalty to energy-efficient appliances. Theoretical, managerial, and social contributions of consumers' pro-environmental behavior in climate change mitigation are discussed.},
}

@article {pmid42320392,
year = {2026},
author = {Lo Bianco, M and Rossi, A and Rinella, S and Leonardi, R and Bektas, H and Carapancea, E and Pugliano, R and Cazacu, MC and Kordcal, SR and Olivé-Cirera, G and Kersbergen, KJ and Craiu, D and Papadopoulou, MT},
title = {Climate change and neurological disorders in childhood: A scoping review.},
journal = {European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society},
volume = {62},
number = {},
pages = {61-75},
doi = {10.1016/j.ejpn.2026.06.001},
pmid = {42320392},
issn = {1532-2130},
abstract = {OBJECTIVES: Climate change's impact on global health is increasingly recognized, with growing focus on its effects on the developing brain and on children with neurological disorders. This scoping review aims to update the evidence on climate change's effects on paediatric neurological disorders.

METHODS: A PRISMA-ScR-based protocol guided a systematic search across major databases (PubMed, Scopus, WoS, ClinicalTrials.gov, WHO ICTRP). We included all study types published in English up to September 2025 examining the impact of any climate-change related factor in children (0-18 years) with neurological disorders. Data extraction included study design, population, exposure/intervention and outcome variables.

RESULTS: Out of 482 records, 17 studies met the inclusion criteria, involving over 340,000 children (54.6% male, in studies reporting sex distribution) across Asia, Africa, North America, and Europe. A total of 15 out of 17 studies were observational (OCEBM level 3-4). Epilepsy and seizures were the most frequently investigated conditions (8/17 studies). Extreme heat triggered immediate increases in hospitalisations, while cold exposure showed delayed but prolonged effects (up to 21 days). Temperature variability and air pollution further amplified seizure risk. Winter storms disrupted medication access which led to seizure worsening. Other studies (5/17 studies) linked meningitis and encephalitis incidence to high temperatures, humidity, and seasonal variability, particularly in low-resource settings. Sunlight and humidity were common migraine triggers, and cold-related illness was differentially co-diagnosed across behavioural health disorders groups. Prenatal and early childhood exposure to temperature extremes was associated with altered white matter development on MRI in one study. Across conditions, children in socioeconomically disadvantaged settings consistently emerged as the most vulnerable.

CONCLUSIONS: Current evidence suggests that climate change-related exposures, particularly extreme temperatures, temperature variability, and natural disasters, negatively affect paediatric neurological health directly (increased seizure risk, impaired myelination) and indirectly (disrupted treatment access, emotional stress). Neuroinfectious diseases were also strongly associated with climatic variability, disproportionately affecting children in low-income areas. However, findings remain fragmented, heterogeneous, and largely context-specific, underscoring the urgent need for multicentric studies with harmonised methodologies and stronger longitudinal designs to clarify causal pathways and guide preventive strategies.},
}

@article {pmid42310026,
year = {2026},
author = {Jacobs, ZL and Jebri, F and Bruggeman, J and Baker, C and James, F and Srokosz, M and Yool, A and Loveridge, A and Popova, E},
title = {The future fate of Somali upwelling productivity and the implications for fisheries under climate change.},
journal = {Scientific reports},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41598-026-55455-3},
pmid = {42310026},
issn = {2045-2322},
support = {NE/P021050/1//Natural Environment Research Council/ ; NE/X006271/1//NERC/ ; NE/X00855X/1//NERC/ ; NE/H017372/1//NERC/ ; },
abstract = {The Somali upwelling is the strongest upwelling region globally during its seasonal peak. The intense productivity that occurs during the southwest monsoon (May-September) sustains artisanal and industrial fisheries. However, due to its complex structure and seasonality, and the typically coarse spatial resolution of global climate models, understanding its future fate remains a challenge. Using a high-resolution future climate projection and a size-spectrum model (in the absence of reliable fish catch data), we identify key climate stressors and projected changes in higher trophic levels to understand potential future impacts on Somali fisheries. Overall, the productivity generated by the Somali upwelling is projected to decline by the end of the century. Our results show that the inner coastal zone may experience elevated productivity, potentially due to changes in the prevailing winds and Somali Current. This may indicate potential climate refugia and minimal impacts to the artisanal fishing fleet. However, further offshore in the Great Whirl region dominated by small pelagic fish, there is a projected decline in productivity and biomass, which may impact the industrial fishing fleets that may target this area in future. To overcome challenges in understanding the fate of global upwelling systems, high-resolution models must be employed to more accurately simulate individual systems.},
}

@article {pmid42310341,
year = {2026},
author = {Bonso, AB and Woldeamanuel, AA and Engura, TT and Berhanu, A},
title = {Climate change adaptation strategies as a pathway to gender empowerment in East Shewa Zone, Ethiopia.},
journal = {Scientific reports},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41598-026-58056-2},
pmid = {42310341},
issn = {2045-2322},
abstract = {Climate change threatens agricultural productivity and rural livelihoods, particularly among smallholder farmers in East Africa. In Ethiopia, rural women play critical roles in natural resource management; however, structural social, economic, and institutional barriers limit their adaptive capacity and reinforce gender inequalities. Despite growing attention to climate change adaptation strategies (CCAS), empirical evidence on its role in promoting gender empowerment remains limited. Therefore, this research aims at generating location-specific data on the contribution of CCAS to gender empowerment in the East Shewa Zone of Ethiopia. A multistage sampling procedure was employed to select 446 sample households. Data were collected through household survey, focus group discussion and key informant interviews across four districts and eight kebeles. Gender empowerment outcomes were assessed using a Gender Empowerment Index for Climate Change Adaptation Strategies (GEI-CCAS), covering social, economic, political, and agricultural dimensions, alongside a Gender Parity Index (GPI). Both descriptive and econometric model (binary logit model) were used for data analysis. The findings revealed that farmers implemented 22 climate adaptation strategies, with mixed cropping (91%) and crop calendar adjustment (89%) being the most common. Households adopting climate change adaptation strategies achieved higher empowerment outcomes than non-adopters, with greater involvement in decision-making, livelihoods, and leadership. Binary logistic analysis results indicated that, among male-headed households, gender empowerment increased with education level, livestock ownership, extension contact, annual income, training participation, and involvement in local institutions, while it decreased with greater market distance. For women-headed households, empowerment was positively influenced by education, extension access, income, training, cooperative membership, institutional participation, and irrigation access, whereas crop failure had a negative effect. Strengthening gender-responsive adaptation policies can contribute to achieving SDG 1 (No Poverty), SDG 5 (Gender Equality), SDG 10 (Reduced Inequalities), and SDG 13 (Climate Action). The study recommends gender-responsive climate adaptation policies that enhance women's access to resources, climate-smart technologies, institutional services, and leadership opportunities, thereby promoting gender equality and strengthening resilience to climate change.},
}

@article {pmid42310807,
year = {2026},
author = {Diao, T and Xu, N and Ma, N and Chen, H and Wang, N and La, T and Wu, K and Cao, B},
title = {Risk prediction of echinococcosis in China under climate change: a One Health approach.},
journal = {Parasites & vectors},
volume = {},
number = {},
pages = {},
doi = {10.1186/s13071-026-07518-7},
pmid = {42310807},
issn = {1756-3305},
support = {2025JC-YBQN-1100//Natural Science Basic Research Program of Shaanxi Province/ ; 2023-JC-QN-0858//Natural Science Basic Research Program of Shaanxi Province/ ; 81900620//National Natural Science Foundation of China/ ; 2020YJ(ZYTS)605//Free Exploration Program of the Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University/ ; },
abstract = {BACKGROUND: Echinococcosis, a neglected zoonosis caused by Echinococcus parasites, imposes a dual burden on public health and socioeconomic development across China, with disproportionate impacts on impoverished pastoral communities. A critical barrier to targeted and effective control lies in the lack of high-resolution national risk maps and limited understanding of how climate change modulates transmission dynamics.

METHODS: Here, we address these gaps by integrating multi-source epidemiological and environmental data to model and map high-resolution echinococcosis transmission risk across China. We further project its spatiotemporal evolution under four climate change scenarios (SSP126, SSP245, SSP370, SSP585) from 2040 to 2100, employing a One Health framework to assess echinococcosis transmission risk. Our model exhibits robust predictive performance, identifying elevation, annual precipitation, precipitation seasonality, isothermality, and average monthly precipitation in January as key driving factors.

RESULTS: Results reveal concentrated high-risk regions in western and northern China, including Sichuan, Qinghai, Tibet, Xinjiang, and Gansu provinces, which are characterized by pastoral economies, socioeconomic underdevelopment, and constrained healthcare access. Future projections show a concerning expansion of high and very high transmission risk regions across all scenarios, with the most significant increase under the high-emission SSP585 pathway by the late twenty-first century.

CONCLUSIONS: These findings clarify the current echinococcosis risk landscape and its environmental determinants while providing forward-looking, spatially explicit evidence. This work establishes a science-based foundation for optimizing resource allocation, designing adaptive prevention strategies, and enhancing health equity within a One Health framework, particularly for climate-vulnerable and resource-limited settings.},
}

@article {pmid42314205,
year = {2026},
author = {, },
title = {The Effects of Climate Change on Obstetric and Gynecologic Health.},
journal = {Obstetrics and gynecology},
volume = {148},
number = {1},
pages = {e74-e83},
pmid = {42314205},
issn = {1873-233X},
mesh = {Humans ; Female ; *Climate Change ; Pregnancy ; *Obstetrics/education ; *Gynecology/education ; *Pregnancy Complications/etiology ; Obstetricians ; Gynecologists ; United States/epidemiology ; },
abstract = {In the United States and globally, the negative effects of climate change, such as extremes of heat, wildfire smoke, and air pollution, are associated with early pregnancy loss, preterm birth, preeclampsia, hypertensive disorders of pregnancy, and stillbirth. Climate change amplifies existing gender-based disparities, which include elevated risks of infectious diseases, malnutrition, sexual violence, mental health disorders, lack of reproductive control, negative obstetric outcomes, and death, when compared with men. These adverse effects disproportionately affect marginalized groups. With the ongoing and increasing threats of climate change and environmental pollutants on human health, it is imperative that obstetrician-gynecologists (ob-gyns) educate not only themselves but students, other health care professionals, their patients, and communities about the adverse effects these threats have on gynecologic and obstetric health. Institutions should encourage the inclusion of climate change education in medical curricula. Ob-gyns should incorporate environmental health education into all prepregnancy counseling visits, with a focus on identifying any potential harmful exposures and determining what mitigation efforts can be initiated before pregnancy.},
}

Humans
Female
*Climate Change
Pregnancy
*Obstetrics/education
*Gynecology/education
*Pregnancy Complications/etiology
Obstetricians
Gynecologists
United States/epidemiology

@article {pmid42314637,
year = {2026},
author = {Wong, PY and Hsu, WL and Chen, CY and Chen, CF and Hsu, CW and Lung, SC and Hsiao, TC and Yu, CP and Liu, WY and Chen, PC and Seow, WJ and Sung, CH and Wu, CD},
title = {Mapping climate-conditioned PM2.5 response under climate change in Taiwan using a high-resolution Geo-AI model.},
journal = {Journal of environmental management},
volume = {412},
number = {},
pages = {130232},
doi = {10.1016/j.jenvman.2026.130232},
pmid = {42314637},
issn = {1095-8630},
abstract = {This study develops a high-resolution Geo-AI framework to quantify the impact of future climate change on PM2.5 concentrations using Taiwan as a subtropical, monsoon-influenced island case. The model integrates long-term ground-based monitoring data (1994-2019), multi-scale geo-environmental predictors, and statistically downscaled CMIP6 meteorology, implemented using a Gradient Boosting Machine. The resulting model demonstrates strong predictive performance (R[2] = 0.81 and RMSE = 8.69 μg/m[3]) and effectively captures PM2.5 dynamics within complex islands and coastal environments. By explicitly coupling a Geo-AI model with Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6) climate scenarios, this study extends data-driven PM2.5 modeling from historical estimation to climate-conditioned future projection, addressing a key methodological gap in existing air-quality research. SHAP-based interpretability analysis identifies temperature and precipitation as dominant predictors, underscoring their central role in shaping future aerosol variability. The SHAP results further indicate that both temperature and precipitation exhibit nonlinear relationships across different temporal and regional scales and overall inverse associations with PM2.5 concentrations, clarifying the climate-driven effects of warming and hydrological change on PM2.5 dynamics under humid subtropical conditions. Across four Shared Socioeconomic Pathway scenarios, projected PM2.5 concentrations consistently decline in the near and midterm (between -1.25 and -1.5 μg/m[3]), followed by increasing spatial heterogeneity in the long term, with localized PM2.5 hotspots emerging under severe warming conditions. These findings suggest that climate change may generate uneven air-quality responses across space, highlighting the limitations of regional mean assessments and the need for high-resolution, climate-informed mitigation and adaptation strategies. The proposed framework provides a transferable tool for climate-responsive air-quality planning in humid subtropical, monsoon-influenced, and densely populated regions worldwide.},
}

@article {pmid42303262,
year = {2026},
author = {Brass, DP and White, SM and Burthe, SJ and Schäfer, SM and Purse, BV},
title = {The effect of historic climate change on the population dynamics of Ixodes ricinus.},
journal = {Journal of the Royal Society, Interface},
volume = {23},
number = {239},
pages = {},
doi = {10.1098/rsif.2025.1296},
pmid = {42303262},
issn = {1742-5662},
support = {NE/W003260/1//UK Research and Innovation through NERC/ ; },
mesh = {Animals ; *Climate Change ; *Ixodes/physiology ; Population Dynamics ; Europe ; *Models, Biological ; *Tick-Borne Diseases/transmission/epidemiology ; Humans ; },
abstract = {The distribution and intensity of tick-borne disease (TBD) transmission events across Europe are increasing in response to changes in climate, land use and host populations. Understanding how changing environmental factors drive seasonal tick population dynamics is critical for predicting the public health impacts of TBDs. Here, we develop an environmentally driven system of stage-structured delay-differential equations to predict the population dynamics of Ixodes ricinus, the primary vector of human TBDs in Europe. We validate the model against data from 77 tick populations in 20 European countries, finding that 55% of the variation observed in the population dynamics of nymphs can be attributed to the effects of climatic variation. Over the last 40 years, we predict a climate change-induced increase in tick abundance and seasonal activity in northern Europe, and commensurate decreases across southern Europe, which should be accounted for in national health policy and climate change adaptation plans.},
}

Animals
*Climate Change
*Ixodes/physiology
Population Dynamics
Europe
*Models, Biological
*Tick-Borne Diseases/transmission/epidemiology
Humans

@article {pmid42303671,
year = {2026},
author = {Shi, W and Zhou, Q and Song, Y},
title = {Social connectedness as a pathway towards climate resilience: exploring climate change scepticism with machine learning approaches and mediation regression models.},
journal = {Scientific reports},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41598-026-57829-z},
pmid = {42303671},
issn = {2045-2322},
support = {22BGL193//National Social Science Fund of China/ ; },
abstract = {Climate resilience is vital for sustainable development, but vulnerable to doubt. Based on the data from the Chinese General Social Survey, this study systematically explores the correlates of climate change scepticism using various machine learning approaches and mediation regression models. The machine learning results show that social connectedness is a key factor negatively associated with lower climate change scepticism, and their relationship varies substantially across different dimensions of social connectedness. Furthermore, the mediation analyses reveal that the association between social connectedness and climate change scepticism is statistically accounted for by anthropocentrism belief, environmental risk awareness, and perception of environmental policies. Importantly, the mechanisms linking social connectedness to climate change scepticism are type-specific. Meanwhile, the association between social connectedness and climate change scepticism varies substantially across regions. Additionally, the results indicate that the patterns and roots of China's climate change scepticism may differ from those reported in Western literature. Overall, this study suggests that social connectedness is a subtle but important correlate of climate resilience. However, the prescription of social connectedness to counteract climate change scepticism should be tailored to the regional context.},
}

@article {pmid42306539,
year = {2026},
author = {Tulu, D and Yasin, KH and Gelete, TB and Ahmed, B and Belina, D},
title = {Machine Learning and Geospatial Modeling of Climate Change Impacts on Ethiopian Honeybees for Conservation and Resilient Agriculture.},
journal = {Ecology and evolution},
volume = {16},
number = {6},
pages = {e73842},
pmid = {42306539},
issn = {2045-7758},
abstract = {Global climate change is negatively impacting honeybee production and productivity, threatening survival, health, and pollination functions which are vital for agriculture and biodiversity. Thus, this study employed integrated machine learning and geospatial modeling (Random Forest, Support Vector Machine, XGBoost, and LightGBM) to predict current and future habitat suitability in Ethiopia under SSP2-4.5 and SSP5-8.5 (2041-2080), therefore promoting conservation and climate-resilient agriculture. Variable importance analysis revealed that agro-ecological zones were the most influential predictors, accounting for 14%-22% of the variance across models. Among bioclimatic factors, Bio19 (coldest quarter precipitation) emerged as a prominent driver (14.1% in RF; 10.3% in XGBoost), indicating the importance of dry-season water availability. Model performance varied: Random Forest had the best predictive precision (specificity = 0.93); however, XGBoost better identified spatial clustering patterns. Under present conditions, Random Forest predicted 30.02% of the study area as highly suitable, especially in the Western Highlands, whereas LightGBM predicted 18.62%, showing increased habitat fragmentation. Forecasts for the future (considering only climate and static topography) indicate a significant reduction in highly suitable habitats, with a 46.2% decline under SSP5-8.5 by the 2070s. Landscape-level measurements indicated increased fragmentation, including a reduction in Shannon diversity (1.48-1.29) and a 19.2% increase in fractal dimension, indicating more complex patch topology. These findings recommended the need to restore pollinator corridors in highland refugia, promoting drought-tolerant plants like Vachellia abyssinica, and integrating adaptive apiculture approaches.},
}

@article {pmid42308206,
year = {2026},
author = {Liang, B and Shi, G and Zhu, Y and Wu, Y and Wang, M},
title = {Rising tides: Unveiling the spatial and temporal evolution of sea level rise under climate change.},
journal = {PloS one},
volume = {21},
number = {6},
pages = {e0347855},
doi = {10.1371/journal.pone.0347855},
pmid = {42308206},
issn = {1932-6203},
mesh = {*Climate Change ; China ; *Sea Level Rise/statistics & numerical data ; Spatio-Temporal Analysis ; },
abstract = {This study systematically investigates the spatiotemporal evolution of sea level rise under climate change, employing a tri-scale quantitative framework (global, China's coastal waters, and Shanghai municipality) to elucidate its underlying drivers and regional disparities. By synthesizing IPCC AR6 datasets and NASA sea level projection models, we integrate the Theil-Sen Median Method with Mann-Kendall Test to analyze trajectory patterns from 2030 to 2100. Spatial clustering effects are further identified through hotspot analysis (Getis-Ord Gi*) implemented in ArcGIS Pro. The findings reveal a statistically significant upward trend in global sea levels, primarily attributed to thermal expansion and cryospheric melt (glaciers and polar ice sheets), with localized subsidence observed in certain high-latitude regions. China's coastal waters exhibit accelerated sea level rise, particularly in the South China Sea and East China Sea, where rates surpass the global mean-a phenomenon driven by coupled effects of monsoon circulation, Kuroshio Current dynamics, and freshwater discharge from major rivers (e.g., Yangtze and Yellow Rivers). At the urban scale, Shanghai's coastal zone demonstrates exacerbated relative sea level rise due to superimposed land subsidence and localized hydrodynamic processes, manifesting distinct spatiotemporal clustering patterns. By integrating global-scale thermodynamic baselines, regional oceanic drivers, and local land subsidence patterns, this study provides a quantitative foundation for place-based adaptation strategies in delta cities. The findings enable evidence-based risk assessment and inform anticipatory governance measures-such as targeted infrastructure reinforcement and land-use planning adjustments-to address the compound sea level risks identified at each scale.},
}

*Climate Change
China
*Sea Level Rise/statistics & numerical data
Spatio-Temporal Analysis

@article {pmid42308211,
year = {2026},
author = {Chimatiro, CS and Mianda, S and Hajison, P and Lembani, M},
title = {Health system strategies and responses to the effects of Climate Change in Sub-Saharan Africa: A scoping review.},
journal = {PloS one},
volume = {21},
number = {6},
pages = {e0349448},
doi = {10.1371/journal.pone.0349448},
pmid = {42308211},
issn = {1932-6203},
mesh = {*Climate Change ; Africa South of the Sahara ; Humans ; *Delivery of Health Care ; Evidence Gaps ; },
abstract = {BACKGROUND: Climate change is now regarded as a global health challenge of the 21st century, posing a negative health risk to the population. Sub-Saharan Africa is disproportionately affected more than any other region worldwide. Mapping strategies and responses in Sub-Saharan Africa to address the impact of climate change on health systems is a starting point for understanding evidence-based decision-making and informing best practices.

METHODS: We conducted a scoping review to identify health systems strategies and responses to the effects of climate change in Sub-Saharan Africa. Electronic database searches were conducted on African Index Medicus, PubMed, CINAHL, and Scopus. Covidence software was used to remove duplicates, blind study selection, and data extraction. We included peer-reviewed articles (original quantitative and qualitative studies, mixed methods studies, reviews, editorials, and commentaries) published between 2011 and 2025. All book chapters and grey literature publications (dissertations, conference proceedings, abstracts, and reports) that primarily focus on climate change strategies and responses without effects on health systems were excluded. The results were analysed using descriptive thematic analysis.

RESULTS: Out of 11459 articles, 8 studies met our inclusion criteria. Most studies provided strategies and responses centered on service delivery, health workforce, health information, leadership and governance, with few on health financing and medicinal products. No study was identified that had outlined strategies and responses across all of the six World Health Organisation building blocks for the health systems. Implementation challenges identified include inadequate funding, lack of knowledge among health workers on climate change and health, inadequate surveillance and reporting structures, and low prioritization of climate change activities among health workers.

CONCLUSIONS: This scoping review has identified some health system strategies and responses to the effects of climate change within the Sub-Saharan African region. The review has revealed that existing strategies and responses are fragmented and hindered by some implementation challenges. As climate change continues to pose health threats to the global population, urgent and effective interventions are required to minimize its impacts. It is essential to understand the unique vulnerabilities of the health systems, particularly those in the Sub-Saharan African region. The time is now to develop strategies and responses that can improve and strengthen health systems as it protects health of the population from the effects of climate change.},
}

*Climate Change
Africa South of the Sahara
Humans
*Delivery of Health Care
Evidence Gaps

@article {pmid42308414,
year = {2026},
author = {Feau, N and Hessenauer, P and Robin, C and Tanney, JB},
title = {Emerging Tree Diseases Driven by Climate Change: A Critical Perspective on Current Challenges and Future Directions.},
journal = {Annual review of phytopathology},
volume = {},
number = {},
pages = {},
doi = {10.1146/annurev-phyto-011325-023326},
pmid = {42308414},
issn = {1545-2107},
abstract = {Climate change is fundamentally reshaping forest disease dynamics through direct effects on pathogen biology and indirect impacts on host physiology. Rising temperatures, altered precipitation patterns, and extreme weather events are driving disease emergence by disrupting ecological relationships between trees and their microbial associates. This review examines how climate change compounds biotic and abiotic risks to forest health, distinguishing between climate-pathogen diseases, where climatic shifts directly favor pathogen activity, and climate-stress diseases, where physiological stress predisposes trees to decline. We explore the continuum from native pathogens gaining new opportunities to exotic pathogens establishing in previously unsuitable environments while considering distinctions among endophytes and latent and nonlatent pathogens. The review emphasizes critical knowledge gaps and highlights emerging research directions, including integration of genomics, remote sensing, and predictive modeling for disease surveillance, adaptive forest management strategies balancing disease mitigation with climate adaptation and new solutions for enhancing forest resilience under accelerating environmental change.},
}

@article {pmid42296826,
year = {2026},
author = {Wei, D and Zhang, Y and Zhao, Y and Sun, Q},
title = {Nonlinear maize yield responses to drought drive escalating regional vulnerabilities under climate change in China.},
journal = {Journal of environmental management},
volume = {412},
number = {},
pages = {130233},
doi = {10.1016/j.jenvman.2026.130233},
pmid = {42296826},
issn = {1095-8630},
abstract = {Drought poses a growing threat to global maize production, with risks projected to intensify under climate change. However, comprehensive, long-term quantification of crop yield responses to drought, particularly their nonlinear across diverse environments, remains limited. Here, we combined generalized additive models and threshold regression to unveil the critical role of Vapor Pressure Deficit (VPD) in determining maize yields in China from 1981 to 2020. Our results demonstrate that yield responses to VPD are strictly nonlinear, governed by distinct regional thresholds: 0.82 kPa in the Northeast (NE) and 0.91 kPa in the North China Plain (NCP). Beyond these thresholds, a stark regional divergence emerges: in the NE, high VPD significantly amplifies water stress, leading to precipitous yield declines at a rate of 4.52 Mg ha[-1] per kPa. Conversely, the NCP exhibits greater resilience, with losses limited to 1.88 Mg ha[-1] per kPa. Structural equation modeling reveals that the heightened sensitivity in the NE is driven by tighter land-atmosphere coupling. Future projections under four Shared Socioeconomic Pathways (SSP1-2.6, 2-4.5, 3-7.0, and 5-8.5) indicate that threshold exceedance will become widespread, with probabilities rising to 54-86% in the NE and 48-85% in the NCP by the late century. Correspondingly, under the SSP5-8.5 scenario and assuming stationary climate-yield relationships, these conditional projections estimate that VPD-induced yield losses could reach up to 12.0% (95% CI: 7.12-18.71%) in the NE-nearly double the 6.18% (95% CI: 3.51-10.30%) projected for the NCP. These findings underscore the necessity of integrating nonlinear threshold-based indicators into agricultural risk management and climate adaptation strategies to safeguard national food security.},
}

@article {pmid42298024,
year = {2026},
author = {Wang, C and Zhang, X and Ren, C and Xuan, X and Cheng, L and Zou, Y and Xu, J and Gu, B},
title = {Climate change and interprovincial trade move grain production and environmental burdens northwards in China.},
journal = {Nature food},
volume = {},
number = {},
pages = {},
pmid = {42298024},
issn = {2662-1355},
abstract = {Understanding how the grain trade redistributes environmental burdens across regions is critical for designing equitable food security and environmental stewardship policies. Using grain production, trade and environmental data from 1980 to 2020, we quantify environmental spillovers embedded in China's interprovincial grain trade, identify their socio-economic and climatic drivers, project future scenarios and estimate ecological compensation schemes. Interprovincial grain trade increased more than fivefold (from 22 to 128 million tonnes), and production shifted northwards, generating a 196% increase in virtual cropland displacement, a 415% rise in virtual water consumption and more than a 217% increase in embodied nitrogen losses and greenhouse gas emissions in China. Irrigation, mechanization and urbanization were the key drivers of these shifts, outweighing climatic influences. Continued reliance on northern grain exports could escalate environmental costs, and climate-induced yield declines may shrink trade networks. Addressing these inequitable regional ecological burdens may require south-to-north transfers of up to US$12.5 billion by 2060 under Shared Socioeconomic Pathway 2-4.5.},
}

@article {pmid42300794,
year = {2026},
author = {Ballard, MS and Walsh, EJ and Freeman, LA and Blumstein, DT and Lin, YT},
title = {Introduction to the Special Issue on climate change: How the sound of the planet reflects the health of the planet.},
journal = {The Journal of the Acoustical Society of America},
volume = {159},
number = {6},
pages = {5388-5391},
doi = {10.1121/10.0044180},
pmid = {42300794},
issn = {1520-8524},
mesh = {*Climate Change ; *Acoustics ; Oceans and Seas ; *Sound ; Ecosystem ; Noise/adverse effects ; },
abstract = {Climate change is altering environmental conditions that govern acoustic propagation across oceanic, atmospheric, and terrestrial systems, while also creating new opportunities for acoustic sensing of these changes. This joint Special Issue of the Journal of the Acoustical Society of America and JASA Express Letters highlights recent advances at the intersection of acoustics and climate science, including studies of ocean acoustic tomography, marine and terrestrial soundscapes, coastal ecosystems such as coral reefs and seagrass meadows, and the impacts of anthropogenic noise. Together, these contributions demonstrate how acoustic methods can provide unique insights into environmental variability, ecosystem response, and long-term climate processes across a range of spatial and temporal scales.},
}

*Climate Change
*Acoustics
Oceans and Seas
*Sound
Ecosystem
Noise/adverse effects

@article {pmid42301039,
year = {2026},
author = {Cameron, C},
title = {Allie Balter-Kennedy: Exploring ice cores to foresee the effects of climate change.},
journal = {Scientific American},
volume = {335},
number = {1},
pages = {35},
doi = {10.1038/scientificamerican072026-155nSLaYizThn4WhVA6Z5Q},
pmid = {42301039},
issn = {0036-8733},
}

@article {pmid42301043,
year = {2026},
author = {Callaway, KR},
title = {Colin Carlson: Explaining how climate change affects ecological diversity and human health.},
journal = {Scientific American},
volume = {335},
number = {1},
pages = {39},
doi = {10.1038/scientificamerican072026-3PmT6h8KTZeE27gRj2HK86},
pmid = {42301043},
issn = {0036-8733},
}

@article {pmid42301055,
year = {2026},
author = {Thompson, A},
title = {Dmitrii Kochkov: Making artificial-intelligence tools to predict what climate change will mean for extreme weather.},
journal = {Scientific American},
volume = {335},
number = {1},
pages = {51},
doi = {10.1038/scientificamerican072026-1qskwvNTHlsypkTEddEceB},
pmid = {42301055},
issn = {0036-8733},
}

@article {pmid42301360,
year = {2026},
author = {Natarajan, L and Ranjit Mohan, A and Ali, H and Adamkiewicz, G and Rajendra, P and Al-Mulla, F and Mohan, V and Alahmad, B},
title = {Climate Change and Diabetes Outcomes: Evidence from Climate-Vulnerable Regions.},
journal = {Current diabetes reports},
volume = {26},
number = {1},
pages = {},
pmid = {42301360},
issn = {1539-0829},
mesh = {Humans ; *Climate Change ; *Diabetes Mellitus/epidemiology/etiology ; Air Pollution/adverse effects ; Heat Stress Disorders/epidemiology ; },
abstract = {PURPOSE OF REVIEW: Climate change is progressively recognized as an emerging determinant of metabolic health outcomes, particularly in relation to diabetes mellitus. This review summarizes mechanistic and epidemiological evidence linking climate-related exposures to diabetes outcomes: namely, 1) heat stress, 2) air pollution, and 3) extreme weather-related disruption of diabetes care.

RECENT FINDINGS: Warming temperatures, worsening air quality, and more frequent extreme weather events are intensifying exposures that disproportionately affect populations with pre-existing chronic diseases; patients with diabetes may be at the center of climate-related vulnerability. While the greatest burden of diabetes is shouldered by countries in the Global South, these same regions are also at the front lines of climate change, facing extreme environmental conditions. Together, diabetes and climate change can converge to create compounding pressures on already strained public health systems in the world's most climate-vulnerable regions. Using global case studies from climate-vulnerable settings, we show the pathways through which diabetes outcomes and climate change can be connected highlighting the need for climate-informed diabetes prevention and management.},
}

Humans
*Climate Change
*Diabetes Mellitus/epidemiology/etiology
Air Pollution/adverse effects
Heat Stress Disorders/epidemiology

@article {pmid42285349,
year = {2026},
author = {Alruiz, JM and Castañeda, LE},
title = {Can rapid evolution allow insects to keep pace with global warming? Reviewing contributions from quantitative genetics, experimental evolution, and environmental gradients.},
journal = {Current opinion in insect science},
volume = {},
number = {},
pages = {101557},
doi = {10.1016/j.cois.2026.101557},
pmid = {42285349},
issn = {2214-5753},
abstract = {Global warming is exposing insect populations to environmental conditions that may change faster than they can adapt. Therefore, understanding whether rapid evolution can enable insects to persist in the face of ongoing warming has therefore become a central challenge in evolutionary ecology. Here, we examined recent advances in assessing the potential for and constraints on rapid thermal adaptation, focusing us on quantitative genetics, experimental evolution and environmental gradients as complementary approaches. Quantitative genetic approaches have revealed that thermal traits have sufficient genetic variation to respond to natural selection; however, these responses may be constrained by their underlying genetic architecture. Experimental evolution has demonstrated that rapid adaptive responses are possible; however, laboratory conditions may oversimplify the environmental complexity experienced by natural populations. Environmental gradients can impose differential selection on populations, leading to phenotypic differentiation that can be evaluated through common-garden experiments. Recent evidence further suggests that thermal adaptation under climate warming cannot be fully understood from a single-stressor perspective because interacting selective pressures can reshape both the direction and magnitude of evolutionary responses. To improve predictions of insect persistence under future warming scenarios, it is essential to integrate evolutionary, ecological, and genomic approaches.},
}

@article {pmid42286204,
year = {2026},
author = {Mordecai, E},
title = {Impacts of climate change on dengue.},
journal = {Nature reviews. Microbiology},
volume = {},
number = {},
pages = {},
pmid = {42286204},
issn = {1740-1534},
}

@article {pmid42287790,
year = {2026},
author = {Zhang, L and Liu, Y and Gao, X and Wang, H and Wang, Y and Zhu, M and Zhou, S and Liu, J},
title = {The fate of macroalgal carbon under microbial anaerobic respiration: A critical factor in macroalgae cultivation for climate change mitigation.},
journal = {Journal of environmental management},
volume = {411},
number = {},
pages = {130175},
doi = {10.1016/j.jenvman.2026.130175},
pmid = {42287790},
issn = {1095-8630},
abstract = {Macroalgae play a significant role in global carbon sequestration. Substantial macroalgal organic carbon inputs and subsequent degradation can cause deoxygenation; however, the impact of oxygen deficiency on carbon fate remains understudied, which is critical for assessing the climate mitigation role of macroalgae. Here, we investigated changes in the carbon pool and non-CO2 greenhouse gases (N2O and CH4) to assess the influence of oxygen levels on the carbon sink capacity of macroalgae. The microbial remineralization rate of macroalgal organic matter was not consistently slower under anoxic conditions (AK) compared to oxic conditions (OK). Total organic carbon (TOC) concentrations in the water column were 530 ± 94 (OK) and 282 ± 38 (AK) μmol kg[-1]. For dissolved inorganic carbon (DIC), concentrations on day 30 were 4585 ± 197 (OK) and 5200 ± 492 (AK) μmol kg[-1], while those for total alkalinity (TA) were 2684 ± 18 (OK) and 4523 ± 671 (AK) μmol kg[-1]. Following a 30-day sealed incubation, the bags were opened to reach atmospheric equilibrium. Subsequently, DIC dropped to 1837 ± 79 (OK) and 3744 ± 354 (AK) μmol kg[-1], and TA fell to 2059 ± 14 (OK) and 4431 ± 657 (AK) μmol kg[-1]. Ultimately, relative to the control group (seawater only, OS) under air-sea equilibrium, the ΔDIC values were -22 ± 76 and 1885 ± 351 μmol kg[-1] in the OK and AK treatments, respectively, while ΔTA values were -57 ± 11 and 2315 ± 655 μmol kg[-1]. The emissions of N2O and CH4 did not substantially offset the climate effect of carbon sequestration. These results suggest that, beyond the traditional focus on organic carbon preservation, anaerobic respiration under anoxic conditions may also contribute to macroalgal carbon sequestration by generating alkalinity that enhances the retention and stabilization of DIC.},
}

@article {pmid42289741,
year = {2026},
author = {Wagaba, MT and Van Geertruyden, JP and Namakula, J and Musoke, D and Mulyowa, A and Murungi, C and Ngaybe, MGB and Orach, CG and Bastiaens, H},
title = {Effects of climate change-related hazards on food security and health within refugee settlements in Uganda.},
journal = {Conflict and health},
volume = {},
number = {},
pages = {},
doi = {10.1186/s13031-026-00817-x},
pmid = {42289741},
issn = {1752-1505},
support = {Award# 720FDA20CA00006//Climate Adaptation Research Program (CARP), through the USAID Bureau for Humanitarian Assistance, The Kakande Ministries, under the Department of Philanthropy, Health and Welfare/ ; },
abstract = {BACKGROUND: Climate change presents more dire impacts on food security and health in Africa than any other region worldwide. These impacts are expectedly more pronounced in predominantly agrarian refugee settings like Uganda, which is also the largest refugee host in Africa. However, there is limited contextual evidence regarding the effects of climate change-related hazards in Uganda to guide context-relevant interventions amidst the ongoing aid cuts. We assessed the impact of climate change-related hazards on food security and the health of refugees in three settlements in Uganda.

METHODS: We conducted a cross-sectional study using concurrent mixed methods in Kiryandongo, Nakivale, and Rhino Camp refugee settlements. We collected data from 600 heads of refugee households using a structured questionnaire, conducted 45 in-depth interviews with refugees, and held 14 key informant interviews with program implementers. Quantitative data were analysed using STATA v16, and a modified Poisson regression model was employed to determine significant associations. Qualitative data were analysed inductively using thematic analysis to complement the quantitative findings.

RESULTS: Of the 600 respondents, 60.6%, 95% CI = 56.5-64.6) were female, while most (76.2%) had lived in the settlement for 10-19 years. Climate change-related hazards associated with food insecurity included forest fires (aPR = 1.13; 95% CI = 1.08-1.23, p < 0.001), unreliable rainfall (aPR = 1.07; 95% CI = 1.01-1.15, p = 0.03), and landslides (aPR = 1.07; 95% CI = 1.01-1.14, p = 0.02). Qualitative findings highlighted that shifts in weather patterns, temperature fluctuations, and precipitation variations were perceived to have a profound impact on agricultural activities and to increase food insecurity and the incidence of vector-borne and waterborne diseases in the refugee settlements.

CONCLUSIONS: Climate change-related hazards can exacerbate food insecurity and contribute to health challenges by increasing the incidence of vector-borne and waterborne diseases. To enhance the resilience of refugee settlements against climate-related hazards, it is crucial to implement community-based disaster preparedness systems, invest in climate-resilient agriculture, upgrade water and sanitation infrastructure, and integrate climate risk assessments into public health planning.},
}

@article {pmid42291096,
year = {2026},
author = {Woolway, RI and Shi, H and Tan, Z and Jansen, J},
title = {Lake sediment heatwaves under global warming.},
journal = {Nature geoscience},
volume = {19},
number = {6},
pages = {639-645},
pmid = {42291096},
issn = {1752-0894},
abstract = {Lake sediment heatwaves, driven by rising global temperatures, pose emerging threats to freshwater ecosystems by altering sediment thermal regimes and intensifying sediment biogeochemical processes. Here we present a global-scale assessment of lake sediment heatwaves, examining their historical patterns and projecting future trends under various climate scenarios in 41,499 representative lakes worldwide. Using daily simulated lake sediment temperatures from 1981 to 2010 and future (2071-2100) projections under three Shared Socioeconomic Pathways (SSP 1-2.6, SSP 3-7.0, SSP 5-8.5), we investigate lake sediment heatwave characteristics, including their duration, intensity, frequency and seasonal timing worldwide. Our results show that lake sediment heatwaves are generally more persistent and frequent than lake surface heatwaves, with sediment heatwaves in pelagic regions experiencing a notable lag relative to surface conditions. Under future climate scenarios, sediment heatwaves are projected to intensify, with their duration and frequency increasing substantially, particularly under SSP 5-8.5. These shifts could exacerbate the production of greenhouse gases such as methane and increase sediment respiration rates in lakes. This study highlights the need to account for sediment heatwaves in freshwater ecosystem management and climate adaptation strategies to mitigate future impacts.},
}

@article {pmid42291472,
year = {2026},
author = {Sharma, I and Bhaumik, S},
title = {Representation, ownership and funding in climate change and health research in South Asia.},
journal = {The Lancet regional health. Southeast Asia},
volume = {50},
number = {},
pages = {100797},
pmid = {42291472},
issn = {2772-3682},
}

@article {pmid42292545,
year = {2026},
author = {Wu, D and Liu, Y and Jing, Z and Liu, S and Qiang, B and Chen, W and Wang, Y and Kang, C and Zhang, Z},
title = {Ensemble Modeling of Shifts in the Suitable Distribution and Ecological Niche of the Alpine Tibetan Medicinal Herb Corydalis hendersonii Hemsl. Under Climate Change and Human Activity.},
journal = {Ecology and evolution},
volume = {16},
number = {6},
pages = {e73861},
pmid = {42292545},
issn = {2045-7758},
abstract = {The Qinghai-Tibet Plateau hosts the rare alpine Tibetan medicinal herb Corydalis hendersonii Hemsl. The wild resources of C. hendersonii are being increasingly threatened by climate warming and intensified human activity. We employed a biomod2 ensemble species distribution model, integrating climatic variables, light/radiation variables, soil-property layers, topographic variables, and the Human Footprint Index with 75 spatially rarefied occurrence records, to predict the potential geographic distribution and shifts in habitat suitability under SSP126 and SSP585 (2050s, 2070s, and 2090s), climate dependence, human-footprint effects, and ecological niche dynamics. 10 algorithms were calibrated with pseudo-absences and repeated resampling, and the high-performing models (ROC > 0.9; TSS > 0.8) were combined into a weighted ensemble; XGBoost yielded the highest single-model accuracy. Ultraviolet radiation (UV-B) was the dominant predictor of suitability, followed by elevation and key thermal-contrast variables (BIO1, BIO4, and BIO7), indicating strong adaptation to high-altitude extreme environments characterized by intense radiation, low mean temperature, and large temperature amplitudes. The current high-suitability habitats are concentrated in Tibet, with limited patches in southern Xinjiang, southern Qinghai, western Sichuan, and northern Yunnan, reflecting a narrow alpine niche. Future projections diverge strongly between pathways: under SSP126, moderate-high suitability is maintained and slightly expanded, whereas under SSP585, high-suitability areas contract, leading to an overall shift toward higher-elevation refugia and a northwestward migration of the centroid. When the Human Footprint Index layer was included, high-suitability areas consistently decreased and peripheral contraction became more pronounced, indicating that climate-only projections overestimate realized habitat area. Climatic niche overlap remained high overall but declined and fluctuated more under SSP585, suggesting niche displacement under intense climate warming. The results provide a basis for conserving C. hendersonii by prioritizing core habitats and implementing targeted management under future climate change scenarios.},
}

@article {pmid42292652,
year = {2026},
author = {Yu, J and Sage, M and Bernstein, D},
title = {The impact of climate change on psychiatric decompensation: A case report using the climate biopsychosocial framework.},
journal = {The journal of climate change and health},
volume = {29},
number = {},
pages = {100642},
pmid = {42292652},
issn = {2667-2782},
abstract = {INTRODUCTION: Anthropogenic fossil fuel emissions are warming the planet quickly, leading to climatic instability and more extreme weather events that impact patient health.

CASE REPORTS: This case study examines a 44-year-old Asian-American male patient with bipolar disorder who decompensated psychiatrically associated with the impacts of two sequential climate-change fueled natural disasters.

DISCUSSION: The classic biopsychosocial (BPS) model was developed during our previous era of climatic stability and is limited in its ability to describe the variables that caused the patient in this case report to decompensate. We introduce a Climate Biopsychosocial (CBPS) model to account for climate change's enormous impact on patient health.

CONCLUSION: The CBPS model is a framework that expands patient care and research pathways.},
}

@article {pmid42292982,
year = {2026},
author = {Baydar, A and Bozkurt Çolak, Y and Dalkılıç, B and Çelik, Y},
title = {Water footprint and water productivity dynamics of Mediterranean rice under climate change and water regime scenarios.},
journal = {Frontiers in plant science},
volume = {17},
number = {},
pages = {1872210},
pmid = {42292982},
issn = {1664-462X},
abstract = {INTRODUCTION: Rice production is highly dependent on water availability and is increasingly exposed to climate-driven changes in evapotranspiration, precipitation patterns, and irrigation demand.

METHODS: This study evaluated future rice water footprint and water productivity responses using DSSAT-CERES-Rice outputs previously calibrated and validated for Mediterranean conditions in Türkiye. The validation-year full-irrigation reference was used to represent future irrigated conditions in the present water footprint assessment. Simulations were evaluated using three GCMs, HadGEM2-ES, GFDL-ESM2M, and MPI-ESM-MR, two emission scenarios, RCP 4.5 and RCP 8.5, and three projection periods: 2016-2040, 2041-2070, and 2071-2098.

RESULTS: For irrigated conditions, mean green + blue water footprint was highest in 2016-2040, reaching 1250 m³ t⁻¹ for RCP 4.5 and 1056 m³ t⁻¹ for RCP 8.5, but remained lower in the late-future period, reaching 674 and 668 m³ t⁻¹, respectively, by 2071-2098. For rainfed conditions, mean green water footprint was considerably higher in the near-future period, reaching 6401 m³ t⁻¹ for RCP 4.5 and 4610 m³ t⁻¹ for RCP 8.5, mainly because limited growing-season rainfall and increased water stress reduced simulated yields under non-irrigated conditions. These values remained below the near-future levels in the late-future period, reaching 1869 and 2608 m³ t⁻¹, respectively, in 2071-2098. Irrigation water productivity ranged from 0.88 to 9.37 kg m⁻³, indicating strong sensitivity to irrigation water use and yield response, particularly in scenarios with low simulated irrigation requirements.

DISCUSSION: Overall, future rice water footprint was controlled not only by evapotranspiration, but also by yield response, irrigation regime, and GCM-specific climate responses. The study demonstrates that validated DSSAT outputs can be used not only for future yield projection, but also for water footprint assessment, providing a useful framework for future rice water management under climate change.},
}

@article {pmid42293027,
year = {2026},
author = {Luo, G and Shi, X and Liu, S and Zou, Y and Huang, W and Zhang, H and Shen, L and Lan, W and Zhang, B and You, W and Li, F and Liu, R and Luo, J},
title = {Prediction of potential suitable habitat for Monochasma savatieri in China under climate change scenarios.},
journal = {Frontiers in plant science},
volume = {17},
number = {},
pages = {1796816},
pmid = {42293027},
issn = {1664-462X},
abstract = {INTRODUCTION: M. savatieri is a medicinal hemi-parasitic herb with significant therapeutic value and is mainly distributed in southeastern China, yet its development is constrained by limited wild resources under global climate change.

METHODS: Using the MaxEnt model, this study simulated the potential distribution of M. savatieri in China under current and three future climate scenarios (SSP1‑2.6, SSP2-4.5, SSP5-8.5) and identified the key environmental drivers.

RESULTS: Results show that the current highly suitable habitat (18.56×10[4] km²) is mainly located in Jiangxi, Zhejiang, Fujian, and surrounding provinces, which lie within the subtropical monsoon climate zone, primarily shaped by four variables: precipitation of the coldest quarter (bio19), precipitation of the driest month (bio14), maximum temperature of the warmest month (bio5), and annual precipitation (bio12), which collectively explain 92.2% of the model. Under all future scenarios, the highly suitable area is projected to decline, contracting notably around central Jiangxi, while the overall distribution centroid remains stable.

DISCUSSION: These findings provide spatially explicit guidance for the conservation of wild resources and the selection of cultivation areas for M. savatieri under climate change.},
}

@article {pmid42293458,
year = {2026},
author = {Haryanto, B and Kurniasari, F and Trihandini, I and Nugraha, F and Widayana, NG and Winarni, NL},
title = {Climate Change Adaptation to Smoke Haze for Improved Child Health in Southeast Asia: Analysis Situation in Palembang, Indonesia.},
journal = {Annals of global health},
volume = {92},
number = {1},
pages = {52},
pmid = {42293458},
issn = {2214-9996},
mesh = {Humans ; Indonesia/epidemiology ; *Particulate Matter/analysis/adverse effects ; *Respiratory Tract Infections/epidemiology ; *Air Pollution/adverse effects/analysis ; *Child Health ; *Climate Change ; *Pneumonia/epidemiology ; Child ; *Smoke/adverse effects ; *Air Pollutants/analysis/adverse effects ; Child, Preschool ; *Fires ; Incidence ; *Environmental Exposure/adverse effects ; Infant ; Male ; Sulfur Dioxide/analysis ; },
abstract = {Background: Haze from forest and peatland fires is a major recurring hazard in Indonesia. During the 2015 fire crisis, more than 43 million people were affected, with PM10 concentrations reaching 2,108.5 μg/m[3] in Palangkaraya, while children were among the most vulnerable populations due to their increased susceptibility to air pollution. Objective: This study assessed the impact of forest and peatland fire haze on child respiratory health in Palembang, Indonesia, by examining associations between ambient concentrations of PM10, PM2.5, and SO2 and the incidence of acute respiratory infection (ARI) and pneumonia to inform child-focused air quality management and public health preparedness. Methods: An ecological time-series study was conducted using data from 2011 to 2020 in Palembang, a city consistently affected by annual peatland fires. The dataset included 366,632 ARI cases and 27,574 pneumonia cases among children. Ambient air quality data were obtained from the Indonesian Meteorology, Climatology and Geophysics Agency (BMKG). Pearson correlation analyses with a one-month lag were performed, followed by linear regression modeling. Results: Particulate matter showed strong associations with increased childhood respiratory morbidity. Pneumonia demonstrated more consistent relationships with PM2.5, reflecting the deeper penetration of fine particles into the respiratory tract. Regression models indicated that rises in PM2.5 predicted higher pneumonia incidence, while PM10 was more consistently associated with ARI. Associations involving SO2 were less consistent, though it may act synergistically with particulate matter to worsen respiratory outcomes. Conclusion: Haze exposure significantly elevates the risk of respiratory illness in children. PM2.5 is strongly linked to pneumonia, whereas PM10 is more closely related to ARI. The persistent nature of haze and children's heightened vulnerability highlight the need to integrate child-centered risk mitigation into national air quality management and disaster preparedness strategies.},
}

Humans
Indonesia/epidemiology
*Particulate Matter/analysis/adverse effects
*Respiratory Tract Infections/epidemiology
*Air Pollution/adverse effects/analysis
*Child Health
*Climate Change
*Pneumonia/epidemiology
Child
*Smoke/adverse effects
*Air Pollutants/analysis/adverse effects
Child, Preschool
*Fires
Incidence
*Environmental Exposure/adverse effects
Infant
Male
Sulfur Dioxide/analysis

@article {pmid42293657,
year = {2026},
author = {Zhu, Y and Guo, J and Zhang, J and Du, W and Guan, Z and Li, H},
title = {Nonlinear effects of climate change on outdoor activities and potential feedback pathways: a systematic review.},
journal = {Frontiers in public health},
volume = {14},
number = {},
pages = {1836657},
pmid = {42293657},
issn = {2296-2565},
mesh = {*Climate Change ; Humans ; *Recreation ; Feedback ; },
abstract = {INTRODUCTION: Climate change is reshaping the suitability, participation conditions, and risk environment of outdoor activities, but the feedback effects of outdoor activities on climate change remain less synthesized.

METHODS: This systematic review searched Web of Science, PubMed, EBSCO, Wiley, SpringerLink, and ProQuest for English-language studies published up to December 27, 2024. Following predefined inclusion and exclusion criteria and PRISMA 2020 reporting, 47 studies published between 2003 and 2024 were included.

RESULTS: Evidence indicates an asymmetric bidirectional relationship. Climate change affects outdoor activities through rising temperatures, extreme weather, altered precipitation and snow conditions, and environmental degradation, thereby influencing climate suitability, participation behavior, recreation demand, site availability, and health and safety risks. Five themes were identified: climate suitability and activity opportunities; participation behavior and recreation demand; health and safety risks; feedback from outdoor activities to climate change; and adaptation and mitigation strategies. Feedback evidence remains comparatively limited and mainly concerns emissions and ecological pressures associated with transportation, tourism consumption, facility operation, artificial snowmaking, energy use, and resource consumption.

DISCUSSION: Climate-change effects predominate, whereas feedback from outdoor activities plays a secondary but non-negligible role. Future research should distinguish climate suitability from actual participation and strengthen integrated assessments of carbon emissions, adaptation, risk governance, and low-carbon transition pathways in outdoor activities.

https://www.crd.york.ac.uk/PROSPERO/view/CRD42025636854. Unique Identifier: CRD42025636854.},
}

*Climate Change
Humans
*Recreation
Feedback

@article {pmid42296818,
year = {2026},
author = {Wang, S and Liu, H and Wu, CYH and Huang, X and Wang, R and Yang, Y and Corcoran, J and Lai, S and Xia, X and Liu, Y},
title = {The boiling frog effect: Global warming delays emotional impacts of air pollution in warmer climates.},
journal = {Journal of hazardous materials},
volume = {514},
number = {},
pages = {142440},
doi = {10.1016/j.jhazmat.2026.142440},
pmid = {42296818},
issn = {1873-3336},
abstract = {Climate change, air pollution, and extreme weather interact in complex ways that impact emotional states of populations. These dynamics are crucial in effective health planning and risk profiling, however, remain poorly understood in real time contexts, hampering timely responses by governmental agencies. Here we conduct a long-term large-scale investigation of the synthetic and lagged effects of environmental stressors on expressed sentiment, as a proxy of emotional states and subjective wellbeing, derived from over 850 million geotagged tweets using natural language processing across the continental United States from 2016 to 2022. Our spatiotemporal Bayesian hierarchical model, optimized with a distributed lag non-linear algorithm, reveals that combined exposure to air pollution and heatwaves produces significant lagged effects on sentiment, with the population in warmer climates showing more gradual emotional responses than those in colder regions. This evidence corroborates the 'boiling frog effect' - a metaphor implying how populations adapt to environmental stressors in ways that delay emotional responses. These findings provide empirical, spatially explicit support for the long-established environmental psychology conjectures including Environmental Stress Theory and Adaptation Level Theory. Our results offer tangible pathways for wellbeing related interventions, climate adaption strategies and public health emergency response systems in the face of increasing global environmental challenges. SYNOPSIS.},
}

@article {pmid42277285,
year = {2026},
author = {Popović, D and Baca, M and Mackiewicz, P and Zalewska, H and Stefaniak, K and Ridush, B and Kovalchuk, O and Ratajczak-Skrzatek, U and Ostrówka, M and Golubiński, M and Hofman-Kamińska, E and Kowalczyk, R and Pawłowska, K and Makowiecki, D and Lõugas, L and Rannamäe, E and Schmölcke, U and Wilczyński, J and Niedziałkowska, M},
title = {Phylogeographic and demographic responses of Eurasian moose to climate change since the Late Pleistocene.},
journal = {Heredity},
volume = {},
number = {},
pages = {},
pmid = {42277285},
issn = {1365-2540},
support = {2018/29/B/NZ8/01173//Narodowe Centrum Nauki (National Science Centre)/ ; N N304 301940//Narodowe Centrum Nauki (National Science Centre)/ ; TK215//Ministry of Education and Research | Estonian Research Competency Council (Research Competency Council)/ ; },
abstract = {Large, cold-adapted ungulates are particularly sensitive to environmental changes and human pressure. Despite a decline in its geographic range and population size, the moose (Alces alces) remains one of the few extant representatives of Eurasian megafauna. We analysed the complete mitochondrial genomes (mtDNA) of 95 subfossil and 137 modern Eurasian moose specimens in order to assess how genetic diversity, effective population size (Nef), and phylogeographic patterns of the species have changed over the last 50,000 years in response to climatic oscillations and human impact. The European and Asiatic-American moose mtDNA lineages diverged approximately 100,000 years BP, occurring in regions with different environmental conditions. All extant mtDNA groups of the Eurasian moose originated before the Last Glacial Maximum (LGM), and subsequently diversified into several subgroups. Bayesian coalescent analyses indicate that Nef was lowest immediately after the LGM, and increased to a maximum during the Middle Holocene. Following this peak, Nef declined towards the present day, decreasing by approximately half in the Asiatic-American lineage and fourfold in the European lineage. The Central European group experienced the strongest range contraction, while the Eastern group remained largely stable and the Western group shifted geographically. The Nef in the Western group fluctuated the least, while that in the Central and Eastern groups declined substantially from the mid-Holocene. Although moose are cold-adapted and sensitive to high temperatures, the most significant factor contributing to the decline of their Nef during the Holocene was likely human impact (overhunting, habitat degradation) rather than climate warming.},
}

@article {pmid42277316,
year = {2026},
author = {Zhang, Z and Zhao, Y and Li, Y and Wang, G and Chen, H and Liu, J and Geng, Y and Li, H and Yu, L and Tang, Q and Cai, M},
title = {Effects of climate change and anthropogenic activities on vegetation coverage changes in the Taihang Mountains, China.},
journal = {Scientific reports},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41598-026-57323-6},
pmid = {42277316},
issn = {2045-2322},
support = {252300420280//Henan Provincial Natural Science Foundation of China/ ; Grants 252102320218//Henan Provincial Science and Technology Research Project/ ; Grants 252300423284//the Young Scientists Fund of Natural Science Foundation of Henan Province/ ; },
abstract = {The Taihang Mountains, situated in the transitional zone between the Loess Plateau and the North China Plain, serve as a crucial ecological barrier in northern China. Analysing the spatiotemporal dynamics of vegetation cover and identifying the underlying drivers are fundamental for effective regional resource management and ecological conservation. In this study, the spatiotemporal patterns of vegetation change in the Taihang Mountains from 2000 to 2024 were analysed on the basis of MODIS normalized difference vegetation index (NDVI) data, climate records, and vegetation maps. Trend analysis, Mann‒Kendall significance tests, and the Hurst index were applied to characterize changes, while residual analysis was used to decompose and quantify the impacts of climate change versus human activities. Our findings reveal a significant greening trend, with the NDVI increasing by 0.0036 per year. High NDVI values were primarily found in southern regions, whereas low values were concentrated in the northwest. Increasing NDVI trends dominated 92.90% of the total area, while decreasing trends were limited (7.10%) and concentrated mainly in the eastern low-elevation foothills and populated urban areas, such as Jincheng. Hurst index analysis indicated that future vegetation changes are predominantly anti-persistent, with 56.97% of the area projected to experience degradation. Human activities dominated the variation in the NDVI (86.16%), compared to 13.84% from climatic factors, and contributed over 70.09% of the changes across all vegetation types. Among vegetation types, coniferous forests showed the most robust improvement under human interventions, whereas the "others" category and cultivated vegetation exhibited higher degradation levels. These findings offer a scientific basis for guiding ecological management strategies in the Taihang Mountains.},
}

@article {pmid42277762,
year = {2026},
author = {Wilson, E and Anderson, K and Johnson, N},
title = {"We don't know what we don't know": rural council officers' perceptions of the gendered impacts of climate change in Australia.},
journal = {BMC public health},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12889-026-28115-4},
pmid = {42277762},
issn = {1471-2458},
abstract = {BACKGROUND: Climate change presents escalating health risks, disproportionately affecting women and children in rural communities. A major concern for this population is the gender-based violence associated with climate-related disasters. In Victoria, Australia, local governments are legislatively required to address both climate-related health impacts and gendered harm. However, the extent to which these mandates are being implemented remains unclear.

METHODS: This research used a mixed-method approach, combining an online survey (n = 27) and in-depth, semi-structured interviews (n = 13) with council officers and elected representatives from rural Local Government Areas (LGAs) across Victoria. Recruitment involved email invitations sent to the Chief Executive Officers (CEOs) of all 48 rural LGAs, identified through the Victorian Local Government Directory, with information about the research for internal distribution within their organisation. The research examined their perceptions of climate-related health risks, gendered impacts, and the barriers to embedding gender-responsive planning in local adaptation strategies. Survey data was analysed using descriptive statistics and interview data was thematically analysed using a reflexive thematic analysis approach.

RESULTS: Findings revealed a growing awareness of the intersection between climate change, public health, and gender by participants and within their councils along with an evolving interest in capacity building. However, council awareness of national frameworks such as the Gender and Emergency Management (GEM) Guidelines was low, and there was limited council integration of gender considerations in climate and health planning. Female council officers reported dual burdens during disasters, specifically professional responsibilities and unpaid caregiving, highlighting systemic gaps in support and recognition. Council participants cited underfunding, fragmented responsibilities, and lack of practical tools as key barriers to effective implementation.

CONCLUSIONS: Rural councils are constrained in their ability to meet policy mandates for gender-responsive climate adaptation. A shift toward gender-transformative planning is urgently needed; one that centres lived experience, challenges harmful norms, and promotes equity. Such a shift requires coordinated action across government levels, sustained investment in local capacity building, and inclusive governance structures. Policymakers must evaluate systems, consider the intersections of gendered vulnerabilities and rural disadvantage, while also prioritise support for rural LGAs through targeted funding, training, and implementation tools that enable meaningful integration of gender equity into climate and disaster planning. Without such action, rural communities will remain exposed to compounding risks and inequitable outcomes of climate change for women.},
}

@article {pmid42278153,
year = {2026},
author = {Zeng, Y and Zhou, Z and Meng, H and Deng, Z and Peng, W and Yang, D},
title = {Assessing Habitat Suitability and Climate-Change Responses of Raptors in Hunan Province, China, Using Ensemble Species Distribution Models.},
journal = {Animals : an open access journal from MDPI},
volume = {16},
number = {11},
pages = {},
doi = {10.3390/ani16111722},
pmid = {42278153},
issn = {2076-2615},
support = {202401-HN-001//State Forestry and Grassland Administration/ ; HNYB-2025001//Hunan Forestry Bureau/ ; },
abstract = {Raptors are high-trophic-level predators and scavengers that are sensitive to habitat alteration, human disturbance, and climate variability, yet province-wide assessments of their habitat suitability and climate-change responses remain limited in subtropical China. Hunan Province, located along the inland section of the East Asian-Australasian Flyway, contains complex mountain systems, plains, wetlands, and land-use mosaics that may support diverse raptor assemblages. Based on raptor survey records collected across Hunan from January 2022 to July 2023, we used biomod2 ensemble species distribution models to assess current habitat suitability, identify key environmental predictors, and project future changes under the SSP2-4.5 and SSP5-8.5 scenarios for the 2050s and 2090s. We recorded 39 raptor species and retained 3637 valid geographic locations and 4855 observed individuals after data cleaning. Nine representative species were further selected to construct 22 species-season combinations covering resident species, summer visitors, winter visitors, and four phenological stages. The EMwmean weighted ensemble model consistently outperformed the best single models, increasing mean AUC from 0.882 to 0.970 and the mean TSS from 0.611 to 0.845. Temperature seasonality (BIO4), the Human Footprint Index (HFP), precipitation in the driest month (BIO14), and the Normalized Difference Vegetation Index (NDVI) were the dominant predictors, although their relative importance varied among residency types and phenological stages. Under current conditions, highly suitable and most suitable habitats covered 65,259.67 km[2], accounting for 30.81% of Hunan Province, and were mainly concentrated in western, southern, and eastern mountain regions. Future projections indicated a marked contraction of high-suitability habitats, especially under SSP5-8.5, with no HSI > 0.6 habitat identified by the 2090s. High-suitability habitats also became increasingly concentrated at higher elevations. These findings identify mountain regions as key conservation priorities and provide a spatial framework for climate-adaptive raptor conservation in Hunan Province.},
}

@article {pmid42278829,
year = {2026},
author = {Sansone, V and Paduano, G and Liguori, F and Gallè, F and Pelullo, CP},
title = {Climate Change and Sustainable Healthcare: Knowledge, Attitudes, and Educational Role of Healthcare Workers.},
journal = {Healthcare (Basel, Switzerland)},
volume = {14},
number = {11},
pages = {},
doi = {10.3390/healthcare14111576},
pmid = {42278829},
issn = {2227-9032},
support = {Local Research Project 2023, "A multidisciplinary approach to the study of the relationship between heat waves and population's health" CUP: I43C23000160005//University of Naples "Parthenope"/ ; },
abstract = {Background: The role of healthcare workers (HCWs) is crucial in promoting and educating about sustainable behaviors. This study aimed to assess Italian HCWs' knowledge, attitudes, practices, and educational role regarding climate change and its health implications. Methods: A cross-sectional study was conducted from May to December 2024. Results: Among the 564 HCWs who participated, 45% and 40.3% considered climate change very important and urgent, respectively. Nurses, who had at least one chronic disease, who self-assessed their knowledge of climate change as good/very good, who needed additional information, and those who knew that problems in global food supply are consequences of climate change were more likely to consider it an urgent problem. Women, those married/cohabitant, and who knew that the spread of infectious diseases, problems in the global food supply, water scarcity or clean water conservation were consequences of climate change, were more likely to believe that climate change is causing health problems. Men, who had at least one chronic disease, who knew that infants/children, elderly and people with multiple medical conditions are more sensitive to climate change, those very scared of climate change, and who received information in training courses were more likely to educate patients for improving sustainability and health protection. Conclusions: Tailored training and integrating sustainability for HCWs could significantly support the health sector in adapting in climate change mitigation.},
}

@article {pmid42280659,
year = {2026},
author = {Li, J and Lou, S and Zhang, P and Ma, T and Maimaiti, P},
title = {Human Activities Have Reduced the Potential Distribution of Cotton in Xinjiang, but Climate Change Is Expected to Expand Its Future Suitable Area.},
journal = {Plants (Basel, Switzerland)},
volume = {15},
number = {11},
pages = {},
doi = {10.3390/plants15111622},
pmid = {42280659},
issn = {2223-7747},
support = {2023TSYCTD0004//Xinjiang Uygur Autonomous Region Education Department/ ; 2024SNGGNT075//Xinjiang Uygur Autonomous Region Education Department/ ; 2024D01A03//Science and Technology Department of Xinjiang Uyghur Autonomous Region/ ; },
abstract = {Cotton is a vital cash crop that underpins regional agricultural systems and the global textile supply chain. However, climate change and increasing human activity are reshaping the spatial distribution of areas suitable for cotton cultivation, with the potential impacts being particularly pronounced in arid and semi-arid regions. This study integrated high-resolution cotton distribution data, environmental variables and human activities and employed ensemble model and niche analysis methods to systematically assess cotton suitability in Xinjiang under current and future climate scenarios. The results indicate that the ensemble models demonstrate high predictive performance, with both model types (Model 1: Environmental; Model 2: Environmental and human activity) achieving AUC values exceeding 0.97 and TSS values exceeding 0.84. Under current climatic conditions, suitable cotton-growing areas are primarily distributed on both sides of the Tianshan Mountains, and the inclusion of human activity factors results in a 13.71% reduction in suitable area. Moreover, Future climate change is projected to result in an increase in its suitable range of between 28.25% and 94.10%, with the most significant expansion occurring under the high-emissions scenario. MESS analysis indicates that the newly identified suitable areas in the future bear a high degree of similarity to current environmental conditions, whilst MOD analysis further highlights that temperature and precipitation are the key drivers of environmental variation. Additionally, Xinjiang cotton will retain a high degree of ecological niche under future climatic conditions. These findings provide important scientific evidence for optimizing the spatial distribution of cotton cultivation in Xinjiang and for climate-adaptive agricultural management.},
}

@article {pmid42280662,
year = {2026},
author = {Li, Z and Liu, Y and Nie, T and Xiao, X and Guo, H and Wang, T and Han, Y},
title = {Projected Changes in Yield and Water Use Efficiency of Cold-Region Rice and the Role of CO2 Under Climate Change.},
journal = {Plants (Basel, Switzerland)},
volume = {15},
number = {11},
pages = {},
doi = {10.3390/plants15111625},
pmid = {42280662},
issn = {2223-7747},
support = {[230001]XYZBZC[CS]20250006//the "15th Five Year Plan" Research Project of Heilongjiang Province Water Security Guarantee/ ; LH2023E109//Natural Science Foundation Project of Heilongjiang Province/ ; HST2025ST014//the 2025 Annual Ecological Environment Protection Scientific Research Project of Heilongjiang Province/ ; },
abstract = {Climate change is reshaping yield formation and water use in cold-region rice production through rising air temperatures, altered precipitation patterns, and increasing atmospheric CO2 concentrations. However, the responses of yield, crop evapotranspiration (ETc), and water use efficiency (WUE) to climate forcing and elevated CO2 remain insufficiently quantified for cold-region rice systems in Northeast China. This study simulated changes in rice yield, ETc and WUE during the 2030s-2090s relative to the 2000-2020 baseline period under the SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios at 10 agro-meteorological stations in Heilongjiang Province. Simulations were conducted using the AquaCrop model driven by CMIP6 multi-model climate data, and the contribution of elevated CO2 was quantified by comparing the rising-CO2 and fixed-CO2 treatments. The results showed that under SSP5-8.5, the maximum air temperature in the 2090s is projected to increase by 5~6 °C relative to the baseline period, while precipitation is projected to range from -10% to 20%. Compared with the fixed-CO2 treatment, rice yield under the rising-CO2 treatment is projected to increase by 18.70%. Although ETc showed an overall increasing trend, rising CO2 attenuated its increase. Under SSP5-8.5 in the 2090s, ETc increased by only 2.70% under rising-CO2 treatment, compared with 11.61% under fixed-CO2 treatment. As a result of increased yield and ETc, the WUE improved by 15.42% and 14.28% under SSP2-4.5 and SSP5-8.5, respectively, in the 2090s, whereas it remained below the baseline level under the scenarios without CO2 effects. These findings indicate that rising CO2 may enhance yield and moderate ETc increases, thereby providing useful information for regional grain-yield assessment, agricultural water-resource evaluation, and climate-change adaptation planning.},
}

@article {pmid42281394,
year = {2026},
author = {Decocq, G},
title = {[Which forests for which biodiversity under climate change?].},
journal = {Comptes rendus biologies},
volume = {349},
number = {},
pages = {147-157},
doi = {10.5802/crbiol.196},
pmid = {42281394},
issn = {1768-3238},
mesh = {*Biodiversity ; *Climate Change ; Conservation of Natural Resources ; Ecosystem ; Forestry ; *Forests ; France ; Trees ; },
abstract = {Environmental changes, including climate change, put forest biodiversity under an unprecedented pressure. Yet, biodiversity plays a key role in the functioning of forest ecosystems and the quality of the services they provide to human societies. The spontaneous or "facilitated" adaptation of forests to climate change represents a new challenge for forest science and engineering. One challenge is to mobilize biodiversity to increase the resilience of forest ecosystems and preserve their functional integrity in the face of intensifying stresses and increased disturbance frequency. I first discuss three prerequisites: (i) understanding biodiversity as the legacy of local, regional, and global histories; (ii) considering biodiversity as a functional attribute of forest ecosystems; (iii) considering biodiversity as species assemblages that are patterned by natural and anthropogenic forcings that, in turn, affect the ecosystem's resilience to these forcings. I then analyze the foreseeable consequences for biodiversity of the three strategies currently implemented for forest adaptation in metropolitan France: free evolution of forests; managing forests to increase their resilience; and replacing existing forests with plantations of (often exotic) tree species supposed to be better adapted to forthcoming climate conditions. For each strategy, I outline a benefit/risk assessment. I conclude with the imperative need to revisit forest engineering based on the scientific outputs of functional ecology, where biodiversity-which is not limited to the number of tree species-is not an obstacle to forest management, but a lever for adaptation.},
}

*Biodiversity
*Climate Change
Conservation of Natural Resources
Ecosystem
Forestry
*Forests
France
Trees

@article {pmid42282277,
year = {2026},
author = {Zhang, Q and Zhang, L and Ma, Y and Jiang, Z and Si, Y and Zhang, T and Jin, B and Tao, F and Wu, Y and Xu, Y},
title = {Predicting the global risk of chikungunya virus under climate change using ensemble species distribution models.},
journal = {Frontiers in cellular and infection microbiology},
volume = {16},
number = {},
pages = {1808175},
pmid = {42282277},
issn = {2235-2988},
abstract = {INTRODUCTION: Climate change is expanding vector-borne disease ranges, yet Chikungunya virus (CHIKV) risk projections remain limited by single-model uncertainty and lack of vector integration. CHIKV, transmitted by Ae. aegypti and Ae. albopictus, threatens 1.3 billion people globally, necessitating robust spatiotemporal risk assessment.

METHODS: Using hierarchical ensemble modeling in Biomod2, we first projected vector distributions based on 19 bioclimatic variables and elevation, then integrated vector suitability as biological predictors for CHIKV under 16 CMIP6 scenarios (4 SSPs × 4 GCMs, 2021-2100). Eleven algorithms were evaluated and ensembled to minimize uncertainty.

RESULTS: Ensemble models achieved excellent performance (Ae. aegypti: AUC = 0.949, TSS = 0.773; Ae. albopictus: AUC = 0.934, TSS = 0.764; CHIKV: AUC = 0.909, TSS = 0.659). Ae. aegypti distribution was constrained by temperature stability (isothermality, temperature seasonality), while Ae. albopictus responded to both temperature and precipitation. CHIKV distribution was primarily vector-driven (84% explanatory power), further modulated mainly by the mean temperature of wettest quarter. Currently, 21.26% of global land area (139 countries) faces CHIKV risk, concentrated in tropical/subtropical zones. Future projections reveal northward expansion into temperate regions (northeastern North America, central Europe, East Asia), but extreme warming (SSP585) may contract tropical habitats via thermal stress.

DISCUSSION: Multi-model projections identify region-specific invasion risks, with previously unaffected temperate areas emerging as high-priority surveillance zones by 2100. These findings provide actionable risk maps for targeted vector control and preparedness strategies in 139 at-risk countries, particularly those lacking population immunity. Model heterogeneity underscores the necessity of ensemble approaches for climate-health policy planning.},
}

@article {pmid42282717,
year = {2026},
author = {Leventhal, L and Exposito-Alonso, M},
title = {Catch me if you can: Arabidopsis thaliana lags in adaptation to contemporary climate change.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
doi = {10.64898/2026.06.02.729671},
pmid = {42282717},
issn = {2692-8205},
abstract = {Anthropogenic climate change fosters unprecedented temperature challenges, with each year breaking a temperature record. Through evolution by natural selection, species and their populations have adapted to their previously local environments. However, as the average global land temperature has increased by ~2 °C or more, natural selection on many species may not act fast enough with climate change, creating an adaptation lag. To understand potential adaptation lags to recent climate change, we conducted a meta-analysis on the largest set of single-species field transplantation experiments across climates with the broadly-distributed model plant, Arabidopsis thaliana , with a total of 1,600 germplasm and 42 field trials. We developed a Gaussian fitness model dependent on local environment and climate deviations to infer genotype-specific adaptation lag parameters. We estimate a mean thermal adaptation lag over 1.91 °C, suggesting that local populations, on average, are better adapted when transplanted to locations cooler than their home climates. While a less than 2 °C temperature mismatch appears small, its impact on fitness corresponds to a 14% cumulative burden over time, which compounds depending on the future climate emission scenario. Combining climate model projections under different scenarios, we found that by 2025, populations would have lost 30% demographic potential under a moderate emissions scenario. Our discovery of this adaptation lag shows that even this highly adaptable species has not kept pace with recent climate change.},
}

@article {pmid42282949,
year = {2026},
author = {Sarfo Ameyaw, D and Danso-Mensah, K and Clottey, J and Nyan, CP and Agyemang Oppong, S and Oppong, M and Badu-Ansah, NE and Kaledzi, D and Letsa, I and Agbahoungba, S},
title = {PROTOCOL: Evidence and Gap Map of Climate Change Adaptation Interventions for Enhancing Food Security and Livelihood in Sub-Saharan Africa.},
journal = {Campbell systematic reviews},
volume = {22},
number = {1},
pages = {18911803261439101},
pmid = {42282949},
issn = {1891-1803},
abstract = {This protocol outlines the development of an evidence and gap map focused on climate change adaptation interventions aimed at improving food security and livelihoods in sub-Saharan Africa. The map will assist users in assessing the size and quality of the existing evidence base, inform strategic program development, and identify gaps for future research. It will include studies published from the year 2000, encompassing systematic reviews, experimental and non-experimental designs, and modelling studies.},
}

@article {pmid42282975,
year = {2026},
author = {Giannini, A and Mancino, C and Maiorano, L and Oliverio, M},
title = {Will the Mediterranean Sea Be a Cul-de-Sac for Marine Gastropods Under Climate Change?.},
journal = {Ecology and evolution},
volume = {16},
number = {6},
pages = {e73677},
pmid = {42282975},
issn = {2045-7758},
abstract = {Marine ecosystems are undergoing rapid transformation under climate change, yet the responses of many marine invertebrates remain vastly understudied. In particular, for many benthic gastropods there is a striking imbalance between their traditional appreciation by shell collectors-and, consequently, their consistent representation in Natural History Collections-and the limited attention they receive in ecological and conservation studies. Focusing on the northeastern Atlantic and the Mediterranean, the cowries Luria lurida, Naria spurca, Zonaria pyrum and the frog-shell Talisman scrobilator are emblematic examples of this knowledge gap, despite being frequently mentioned as species of conservation concern. Using long-term occurrence records spanning more than a century, we modelled past and present distributions of these species and explored their potential responses to future climate scenarios through a multi-temporal Species Distribution Modelling framework. Our results show that intermediate climatic conditions-both in time (2050-2060 vs. 2090-2100) and scenario intensity (moderate SSP2-4.5 versus high-emission SSP5-8.5)-may represent a critical transition phase, leading to habitat contractions without compensatory gains in newly emerging suitable areas. The Mediterranean Sea is expected to increasingly function as a cul-de-sac, with the dominant circulation patterns strongly limiting outward movements towards cooler regions for species relying on planktic larvae for dispersal. Furthermore, incorporating larval sensitivity to reduced pH suggests that large areas of the Atlantic Ocean may actually result unsuitable for larval persistence, substantially reducing the habitat effectively available for completion of the full life cycle; this highlights the need to account for connectivity, life-history constraints and juvenile-stage sensitivity when assessing climate-driven range shifts in shelled organisms with planktic larvae.},
}

@article {pmid42282978,
year = {2026},
author = {Yousefi, M and Nezami, B and Asgari, F and Illanloo, SS and Alemohammad, S and Bosso, L},
title = {Climate Change Reduces Habitat Suitability of the Endemic Iranian Ground-Jay (Podoces pleskei): Spatial Analyses to Guide Conservation Strategies.},
journal = {Ecology and evolution},
volume = {16},
number = {6},
pages = {e73637},
pmid = {42282978},
issn = {2045-7758},
abstract = {Dryland and semiarid ecosystems in Iran are increasingly threatened by climate change and human activities, posing significant risks to endemic avian species such as the Iranian Ground-jay (Podoces pleskei). In this study, we used ecological niche models and GIS analyses to predict the impacts of climate change on the habitat suitability of this bird. Our models showed that the habitat suitability for P. pleskei was primarily concentrated within the deserts and xeric shrublands biomes and identified extensive suitable habitat patches along the Iran-Pakistan border. Podoces pleskei showed a higher probability of presence at low values of mean temperature of the driest quarter, annual precipitation, NDVI, and distance from human settlements. Our findings reveal that although approximately 36% of suitable habitats fall within formally designated protected areas, the majority remain unprotected and suffer from severe fragmentation, compromising long-term conservation prospects. We found that P. pleskei lost a considerable proportion of its suitable habitats due to climate change i.e., 18% and 52% under SSP1-2.6 and SSP5-8.5 scenarios, respectively. Our models showed strong predictive performance as indicated by high Area Under Curve and True Skill Statistic values. Moving beyond traditional protected area designation, conservation efforts must prioritize habitat connectivity and community engagement to ensure the persistence of P. pleskei and other dryland avian species, particularly in light of the significant habitat loss caused by climate change. Our findings contribute valuable insights into avian ecology in Iran's fragile ecosystems and inform evidence-based conservation planning in the country.},
}

@article {pmid42284284,
year = {2026},
author = {Majidulla, A and Flores-Flores, O},
title = {Aging, climate change, and the paradox of preparedness: Reflections from Villa El Salvador, Lima, Peru.},
journal = {PLOS global public health},
volume = {6},
number = {6},
pages = {e0006600},
doi = {10.1371/journal.pgph.0006600},
pmid = {42284284},
issn = {2767-3375},
}

@article {pmid42266919,
year = {2026},
author = {Obisanya, TA and Jegede, AO},
title = {Mobility as climate change adaptation in South Africa: Exploring the legal and policy significance of artificial intelligence.},
journal = {Jamba (Potchefstroom, South Africa)},
volume = {18},
number = {1},
pages = {2059},
pmid = {42266919},
issn = {1996-1421},
abstract = {UNLABELLED: This study explores the intersection of mobility, climate change adaptation and artificial intelligence (AI) in South Africa. As climate change impacts mobility patterns, South Africa needs effective adaptation strategies, especially to manage the mobility of internally displaced persons (IDPs) and prevent maladaptation. Artificial intelligence is used to improve lives and livelihoods in such situations, but it raises legal and policy questions. The objective of the article is to uncover the legal and policy implications of AI's role as a climate technology for adaptation amongst IDPs in South Africa. The article utilises a qualitative desk-based approach to analyse legal frameworks, literature, official records such as parliamentary transcripts, non-governmental organisations (NGO) reports and online repositories on IDPs' mobility patterns and adaptation, as well as the South African government's technological interventions to support better adaptation. The findings reveal that AI can improve the planning of IDPs' relocation. Its tools can improve needs assessment, resource allocation, protection services or infrastructure planning. However, South Africa's legal frameworks lack specific provisions on AI. Hence, regulations are needed to address AI's evolving role in climate adaptation in South Africa.

CONTRIBUTION: The study concluded that with AI policies and laws, maladaptation associated with mobility can be mitigated in South Africa.},
}