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        <title>Frontiers in Climate | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/climate</link>
        <description>RSS Feed for Frontiers in Climate | New and Recent Articles</description>
        <language>en-us</language>
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        <pubDate>2026-08-12T19:29:15.228+00:00</pubDate>
        <ttl>60</ttl>
        <item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1843428</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1843428</link>
        <title><![CDATA[Assessing the socioeconomic footprint of tornado in Indonesia: A 15 year spatiotemporal impact analysis]]></title>
        <pubdate>2026-08-12T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author> Kiki</author><author>Yonny Koesmaryono</author><author> Perdinan</author><author>Donaldi Sukma Permana</author><author>Rahmat Hidayat</author>
        <description><![CDATA[Puting beliung, or small-scale tornadoes, pose significant threats to infrastructure and human lives in tropical island environments. This study analyzes the socioeconomic impacts of these extreme weather events in Indonesia over a 15-year period from 2010 to 2024. A database of incidents was compiled by collecting reports from government agencies, scientific journals, online media, and YouTube, applying a multi-layered filtering method to verify 267 confirmed incidents. The epicenter of this extreme weather phenomenon is concentrated on the island of Java (63.3%), with peak activity occurring during the rainy season in most parts of Indonesia (December through February). Nationwide, these whirlwinds caused 184 fatalities and total economic losses of 25.8 million USD, with residential damage accounting for approximately 66% of the total losses. Over the study period, overall impacts increased substantially, with a 225% increase in fatalities and a 189% increase in infrastructure damage. These findings highlight the growing severity of tropical tornado impacts and demonstrate the critical need for public education in vulnerable areas. The results provide a scientific foundation for enhancing early warning systems, recommending wind-resistant building standards in highrisk regions, and offering a valuable analytical framework for other tropical island nations facing similar risks.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1854734</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1854734</link>
        <title><![CDATA[High-resolution climate-driven potential evapotranspiration to assess climate change impacts on Mediterranean agriculture]]></title>
        <pubdate>2026-08-12T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>André Fonseca</author><author>José Cruz</author><author>Cristina Andrade</author><author>António Fernandes</author><author>Christoph Menz</author><author>João A. Santos</author>
        <description><![CDATA[Potential evapotranspiration (PET) is a key driver of agricultural water demand, its estimation remains uncertain, particularly in topographically complex, water-limited regions such as the Iberian Peninsula (IP). This study develops and applies a high-resolution PET framework that first evaluates PET across multiple climate datasets, then uses the most suitable dataset to quantify future changes in atmospheric water demand and assess their implications for regional climatic stress and crop evapotranspiration across the Iberian Peninsula. PET is computed using the Hargreaves method for CHELSA, E-OBS, and ERA5-Land, and compared with PET from the Copernicus Climate Change Service CMIP6 Atlas for 1991–2010. Among the evaluated datasets, CHELSA offers the highest spatial resolution while maintaining consistency with the other evaluated datasets, allowing the representation of fine-scale physiographic gradients that are not resolved in the coarser CMIP6 fields. Although this added spatial detail improves the representation of regional climatic variability, it does not necessarily imply higher accuracy in the absence of independent observational validation. CHELSA was therefore selected to analyse future PET under SSP1-2.6, SSP3-7.0, and SSP5-8.5 (2041–2100). A ranking approach is applied to temperature, precipitation, PET, and climatic water balance at the NUTS-2 level to regionalise climatic stress across the IP. Further, PET is combined with FAO-56 crop coefficients to map ETc for vineyards, olive groves, and fruit trees throughout the IP. Results show an increase of high PET values across the IP. Under SSP5-8.5, central and southern Iberia exceeds 1,400–1,600 mm/year by the late century, and even Atlantic and mountain regions are projected to experience substantially higher evaporative demand than during the historical reference period. Ranking analysis indicates that climatic stress is higher in the interior (e.g., Castilla-La-Mancha, Extremadura, Madrid, Castilla y León, and Centro-Portugal). Crop-specific ETc increases across all regions, with olive groves and fruit-tree orchards in southern and eastern IP showing the greatest intensification, thereby indicating greater potential pressure on irrigation systems for perennial agriculture. Hence, the study demonstrates the added value of high-resolution, climate-driven PET for impact assessment, while highlighting the need for adaptation in water management, crop zoning, and agricultural practices under future climate change.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1900256</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1900256</link>
        <title><![CDATA[Heterogeneity in integration of greenhouse gas mitigating interventions among rural and Peri-urban smallholder dairy farms in Nakuru County, Kenya]]></title>
        <pubdate>2026-08-12T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Selloane Sekhants’a</author><author>James Ombiro Ondiek</author><author>Bockline Omedo Bebe</author>
        <description><![CDATA[Dairy production is a priority livestock system for reduction of greenhouse gas (GHG) emissions and is a target of a number of GHG mitigating interventions (GHG-MI) recommendations. However, uncertainty exist regarding how smallholders are integrating these GHG-MI, which include improving feeding, breeding, health and welfare, and manure management. This study tested hypothesis that integration of GHG-MI is heterogeneous in smallholder dairy farms. A sample of 291 farms were obtained in a cross-sectional survey in rural and peri-urban wards around Nakuru city, Kenya. Frequency data on practicing a GHG-MI were subjected to Principal Component Analysis followed by Cluster Analysis to derive distinct clusters, resulting in three clusters: cluster one and two each comprising 36.8 % and cluster three 26.4 % of the farms. These were respectively labelled low (LM), average (AM) and high (HM) mitigating farms based on the number of GHG-MI frequently practiced by atleast half of the farms. The majority of the HM farms frequently practiced most of the GHG-MI and LM farms practiced the least. Out of 11 feeding practices examined, atleast 6 in 10 HM farms frequently practiced four whereas atleast 5 in 10 of AM or LM farms frequently practiced two. In examining selection for six traits, five were frequently selected by at least 8 in 10 of HM farms whereas atleast 5 in 10 of AM or LM farms only frequently selected two traits. Of seven good animal health and welfare practices examined, all were frequently practiced by atleast 6 in 10 of HM farms. Among AM and LM farms, atleast 5 in 10 practiced six good animal health and welfare. While dry-lot manure storage was only a frequent practice on AM farms, manure spreading on land was a more frequent practice across all clusters. These findings reveal that smallholder dairy farms are responsive to mitigating GHG emissions, however heterogeneity in their integration of GHG-MI warrants research to compare HM with the AM and LM farms. Feed additives and effective manure management should be entry points for extension service promoting climate-smart livestock interventions, because only a few farms used them, though are effective GHG-MI in dairy systems.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1875812</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1875812</link>
        <title><![CDATA[Factors influencing community residents’ relocation willingness in extreme climate disaster-prone areas under the context of sustainable development: a case study of Zhanjiang City, China]]></title>
        <pubdate>2026-08-11T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Huihui Zuo</author><author>Jian Li</author>
        <description><![CDATA[Against the backdrop of intensifying global climate change, the increasing frequency and intensity of extreme climate events pose a serious threat to the safety of coastal community residents and regional sustainable development. As a key adaptive strategy, the effectiveness of disaster-induced relocation is critically dependent on residents’ willingness to relocate. Based on the Risk-Resilience-Institution (RRI) Synergy Theory, this study takes Zhanjiang City, a typical high-risk coastal city in China, as a case study. Using a stratified random sampling method, a questionnaire survey was conducted, yielding 405 valid responses. A binary Logistic regression model was employed to systematically analyze factors influencing residents’ relocation willingness from the risk dimension (disaster risk perception, disaster psychological trauma, sudden disaster impact, slow-onset disaster stress, disaster risk accumulation), resilience dimension (social capital, place attachment, family structure, coping efficacy, psychological resilience, livelihood dependence, household asset level), and institution dimension (regional development disparity, emergency response mechanism, resettlement and compensation policies, public service connectivity). The results demonstrate that in the risk dimension, disaster risk accumulation, sudden disaster impact, disaster risk perception, and slow-onset disaster stress have significant positive effects on relocation willingness, whereas disaster psychological trauma was not statistically significant. In the resilience dimension, livelihood dependence and place attachment have significant negative effects on relocation willingness, whereas psychological resilience, coping efficacy, and social capital show no significant effects. In the institution dimension, regional development disparity, resettlement and compensation policies, and public service connectivity significantly positively affect relocation willingness, but the emergency response mechanism exhibits a significant negative effect, forming an “institutional trust-induced relocation inhibition paradox.” The model yielded a McFadden R2 of 0.602. The study indicates that under extreme climate disasters, community residents’ relocation willingness is synergistically driven by risk accumulation, structural locking, and institutional incentives, while individual psychological resilience and demographic characteristics have limited explanatory power. Recommendations include establishing a risk accumulation early warning mechanism, implementing a dual strategy of livelihood substitution and community participation, redefining the functional boundaries of emergency response, and constructing a full-chain resettlement policy package centered on relocation destination development expectations.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1812869</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1812869</link>
        <title><![CDATA[Climate adaptation among transnationally connected households in Coastal Havana Province, Cuba]]></title>
        <pubdate>2026-08-10T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Chiara Bernasconi</author>
        <description><![CDATA[In recent decades, Cuba has experienced intensifying climate and environmental change alongside a deepening socio-economic crisis, which has contributed to new waves of emigration that reinforce already dense transnational connections and networks. While early research on environmental change and mobility often framed migration as a last-resort response and immobility as the result of being unable to leave, more recent scholarship has shown that moving and staying form a broader spectrum of coping and adaptation. Building on relational and translocal approaches to mobility, this article understands coping and adaptation as processes negotiated across households, places, and networks, where mobility and immobility are mutually constituted. The article examines mobility-linked coping and adaptation strategies from the perspective of origin households with transnational connections living in a highly exposed peri-urban coastal village in Havana Province, Cuba. Based on 2 months of qualitative fieldwork with 21 selected households, it develops a typology of coping and adaptation practices and analyzes how these practices unfold through translocal networks. Findings indicate that among sampled households, mobility and transnational connections function as key adaptive resources: remittances support incremental housing reinforcement, self-directed climate-related residential mobility, and emergency responses, while translocal networks circulate information, advice, and affective support. Households who remain in place are active co-producers of resilience. However, mobility cannot substitute for robust in situ adaptation. Access to mobility-driven adaptation resources is uneven, and their effectiveness is constrained by sanctions, inflation, restrictive monetary policies, and the informalization of transfer channels.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1887902</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1887902</link>
        <title><![CDATA[Significant soil warming across Alaska permafrost and non-permafrost regions from 1997 to 2023]]></title>
        <pubdate>2026-08-10T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Erin E. Oliver</author><author>Claire L. Phillips</author>
        <description><![CDATA[IntroductionAir temperatures in Alaska are increasing at twice the rate of the contiguous United States. Soil temperatures have been shown to be increasing across various landscapes but have overall received less attention. No comprehensive studies have been conducted in Alaska looking at soil temperature trends on a broad scale.MethodsIn this paper we synthesized soil and air temperature data from 43 weather stations across Alaska spanning a 27-year period (1997-2023). Stations were divided into three regions based on permafrost extent (continuous, discontinuous, and no permafrost). Soil temperature trends were calculated at 5, 20, and 50 cm depth in all three permafrost regions, and additionally at 70, 95, and 120 cm depth for the continuous permafrost region only.ResultsAnnual average soil temperatures increased significantly across all regions with the fastest warming rates occurring at the highest latitudes. Whole profile warming averaged 0.64, 0.37, and 0.35°C dec-1 in the continuous, discontinuous, and no permafrost regions, respectively. Warming was not slowed by increasing soil depth. Air temperatures warmed faster than soil (p < 0.05) in the continuous permafrost region (1.15°C dec-1) but were not significantly different from soil in the discontinuous and no permafrost regions (p > 0.1). Seasonally, soils in the continuous and discontinuous regions warmed fastest in the winter months, whereas in the no permafrost region soils warmed fastest in the summer months.DiscussionThe relationship between air and soil temperatures was significantly impacted by the presence of snow in the winter months. The correlation between air and soil temperatures was weakened by the presence of snow in each permafrost region, particularly those with deeper snowpacks (discontinuous and no permafrost).]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1812437</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1812437</link>
        <title><![CDATA[Data-driven approaches outperform dynamical models for subseasonal-to-seasonal precipitation forecasting in Senegal]]></title>
        <pubdate>2026-08-05T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Dioumacor Faye</author><author>Felipe M. de Andrade</author><author>Roberto Suárez-Moreno</author><author>Dahirou Wane</author><author>Michaela I. Hegglin</author><author>Abdou L. Dieng</author><author>Redouane Lguensat</author><author>Amadou T. Gaye</author>
        <description><![CDATA[Reliable subseasonal-to-seasonal (S2S) precipitation forecasts during the West African monsoon are critical for Senegal, where the economy heavily depends on rain-fed agriculture. However, general circulation models used in current S2S forecasting systems struggle to represent the complex atmospheric and oceanic mechanisms driving monsoon rainfall variability. This study evaluates six machine learning models, including ridge regression, linear regression, random forest, support vector machine, AdaBoost, and multilayer perceptron, for forecasting weekly precipitation anomalies during the monsoon season (June to September, 1982 to 2019). We combine high-resolution precipitation estimates from ground and satellite observations with atmospheric and oceanic reanalysis products, and apply a non-filtering method to extract intraseasonal signals as predictors, enabling real-time applicability. Results show that integrating atmospheric and oceanic predictors significantly enhances forecast skill compared to using individual variables. Ridge regression consistently outperforms all other models and surpasses state-of-the-art dynamical S2S prediction systems across all forecast lead times. These findings highlight the strong potential of machine learning to complement dynamical models for operational S2S precipitation forecasting in West Africa, offering computationally efficient and skillful predictions valuable for climate risk anticipation, agricultural planning, and water resource management. The proposed methodology can be extended to other regions with different climatic characteristics.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1768549</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1768549</link>
        <title><![CDATA[Improved climate services in Hawai‘i: the collaborative development of drought-related decision support tools]]></title>
        <pubdate>2026-08-05T00:00:00Z</pubdate>
        <category>Technology and Code</category>
        <author>Ryan J. Longman</author><author>Derek Ford</author><author>Cherryle Heu</author><author>Jennifer Geis</author><author>Abby G. Frazier</author><author>Christian P. Giardina</author><author>James T. Potemra</author><author>Sean B. Cleveland</author><author>John J. Marra</author>
        <description><![CDATA[Rising temperatures, prolonged droughts, and increasingly variable rainfall are negatively impacting natural and cultural resources and agricultural production systems in Hawai‘i. To effectively manage resources in the face of these changes, stewards and producers now require accurate, timely, and site-specific climate data and information. However, access to such data as well as the ability to interpret available data remain limited for many sectors. In response to various needs, a team of scientists working with the Pacific Drought Knowledge Exchange (PDKE) has developed two open-source decision-support tools (DSTs) through a collaborative, user-informed process aimed at closing longstanding gaps in local climate services. This paper introduces these new tools highlighting how they were co-designed to support resource management and producer needs in Hawaiʻi. The first DST is the automated Climate Change, Climate Variability, and Drought Portfolio tool which provides customized site-specific, fine-scale climate data and information summaries to end users. The second DST is the Hawai‘i Rangeland Information Portal (H-RIP), which is designed to deliver near-real-time and near-future, site-specific drought and forage production information to ranchers in Hawai‘i. These tools leverage the latest gridded climate products available on the Hawaiʻi Climate Data Portal (HCDP) thus providing the highest quality and most up-to-date information available for the state. Both tools were intentionally designed and co-produced with end-users to meet the practical needs of resource managers by providing site-specific information through intuitive, web-based platforms. These DSTs improve climate data accessibility and usability and significantly strengthen the state’s overall climate service infrastructure. Collectively, these platforms represent scalable models for enhancing adaptive capacity and resilience through data-driven planning and locally relevant and data informed decision making.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1740651</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1740651</link>
        <title><![CDATA[Climatic drivers of coffee disease dynamics: insights from a decadal study on Hemileia vastatrix and emerging fungal pathogens in southern India]]></title>
        <pubdate>2026-08-05T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Santoshreddy Machenahalli</author><author>A. P. Ranjini</author><author>Madhu S. Giri</author><author>Somashekhargouda Patil</author><author>M. Sudha</author><author>Kishor Mote</author><author>N. Chandrashekhar</author><author>S. Soundara Rajan</author><author>S. Daivasikamani</author><author>C. Babou</author><author>M. Senthilkumar</author>
        <description><![CDATA[Climate change–driven variations in rainfall pattern and temperature are increasingly influencing disease dynamics in India’s coffee plantations. Erratic and prolonged rainfall has led to persistent canopy wetness, favoring outbreaks of black rot, stalk rot, leaf spot, and berry infections, which cause severe defoliation and fruit drop. Among these, coffee leaf rust (CLR) caused by Hemileia vastatrix remains the most destructive disease of Coffea arabica, capable of causing up to 30% crop loss without effective control. A long-term study (2015–16 to 2024–25) at the Central Coffee Research Institute, Chikkamagaluru, Karnataka, assessed the influence of weather variables on CLR development using the susceptible cultivar Sln.3. Fortnightly disease observations and daily weather data (temperature, relative humidity, and rainfall) were analyzed. Results showed that CLR epidemics are strongly regulated by minimum temperature (Tmin) and vapor pressure deficit (VPD). CLR incidence consistently peaked during the post-monsoon period. Spline regression modelling demonstrated superior performance of VPD-based models (AIC = −83.03, R2 adj = 0.99, RMSE = 0.73) compared to RH-based models (AIC = −73.01, R2 adj = 0.96, RMSE = 1.42). Lagged Tmin and VPD variables effectively represented the pathogen’s latent period, improving model realism and prediction. Emerging pathogens such as Paramyrothecium roridum, Neopestalotiopsis clavispora, and Agroathelia rolfsii also showed increasing incidence. The study underscores that temperature and rainfall distributions critically influence coffee disease outbreaks, emphasizing the need for integrated climate-responsive management strategies.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1832856</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1832856</link>
        <title><![CDATA[Assessing the global potential of Expanding Coastal Vegetated Ecosystems as a Carbon Dioxide Removal Method: results from a parameterization in an Earth System Model]]></title>
        <pubdate>2026-08-03T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Margarita Liadova</author><author>Tronje P. Kemena</author><author>David P. Keller</author>
        <description><![CDATA[Rising atmospheric CO2 concentrations highlight the need for emission reductions; however, it is now widely recognized that emission reductions alone are insufficient and must be complemented by carbon dioxide removal (CDR). Coastal vegetated ecosystems (CVEs), including mangrove forests, salt marshes, and seagrass meadows, are frequently proposed as nature-based CDR solutions because of their high carbon burial rates and long-term sediment storage. Despite occupying more than 100 times less area than terrestrial vegetation, they store carbon efficiently and provide numerous co-benefits, including coastal protection and biodiversity support. However, their global CDR potential remains uncertain due to limited suitable areas for expansion and the lack of representation in Earth System Models (ESMs). To address this gap, we developed a parameterization that enables the representation of CVEs in the coupled Earth System Model FOCI despite their small spatial extent relative to coarse model grids. We applied the parameterization under two future climate pathways and several ecosystem expansion scenarios to evaluate the influence of additional carbon burial by CVEs on the global carbon cycle and climate. Our simulations show that CVE expansion produces only a modest reduction in atmospheric CO2. Even an idealized upper-bound sensitivity test corresponding to a 400% increase in present-day CVE area reduced atmospheric CO2 by only approximately 3–9 ppm by the end of the 21st century, depending on the emissions scenario, while smaller expansion scenarios produced changes that were largely masked by internal climate variability. These results suggest that, although CVEs contribute to climate mitigation and provide valuable local ecosystem services, their potential for global-scale carbon dioxide removal is limited. Consequently, CVE restoration and conservation should primarily be motivated by their multiple ecological and societal benefits, with carbon dioxide removal considered a complementary contribution rather than the primary objective.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1878309</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1878309</link>
        <title><![CDATA[Leveraging climate-smart agriculture for improved resource-use efficiency: evidence from rice farmers in Kwara State, Nigeria]]></title>
        <pubdate>2026-08-03T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Babatunde O. Ajiboye</author><author>Wale Ayojimi</author><author>Adetomiwa Kolapo</author><author>Kolade O. Adekanye</author><author>Melusi Sibanda</author><author>Nolwazi Z. Khumalo</author>
        <description><![CDATA[Climate change ignorance can transform Nigerian farmers from producers into victims of preventable agricultural collapse. This study empirically investigates the determinants of intensity of climate-smart agricultural practices (CSAp) adoption and its effect on resource-use efficiency among rice farmers in Kwara State, Nigeria. Cross-sectional survey data, elicited through a semi-structured questionnaire, were analyzed using descriptive and inferential statistics. The socioeconomic profile of the respondents reveals a middle-aged (≈52 years), large-member household (8), well-experienced (21 years), and 1.5-acre farmland rice community, with more secure land tenure (70%) but poorly trained on climate change. A negative binomial regression model shows that farmers’ intense perception of climate change, farm size, age, household size, marital status, farmers’ extension contacts, and cooperative participation drive the intensity of CSAp adoption. The Cobb–Douglas Stochastic Production Frontier Approach (SFA) reveals that larger farms experience mild diseconomies of scale and a pattern consistent with fertiliser-input over-use (p < 0.01). Costs incurred on pest/disease management enhance production and reduce yield losses. Additionally, farm ownership structure, rice farming experience, and household size are efficiency frontier shifters, while farmers’ intensity of CSAp adoption improves technical efficiency and optimal resource utilization. Policies that institutionalise CSAp training, redirect fertilizer subsidies towards integrated pest management chemicals, and supports institutional reform/auditing should be underway.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1817772</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1817772</link>
        <title><![CDATA[Environmental displacement and the principle of common but differentiated responsibilities: a systematic review]]></title>
        <pubdate>2026-07-31T00:00:00Z</pubdate>
        <category>Systematic Review</category>
        <author>Iván Vargas-Chaves</author><author>Diego Hernández-Guzmán</author><author>José López-Oliva</author>
        <description><![CDATA[This systematic literature review explores the intersection of environmental displacement and the common but differentiated responsibility (CBDR) principle, focusing on the ethical, legal, and practical dimensions of climate justice. We examine how current frameworks address disproportionate climate impacts on vulnerable populations, particularly in low-income nations, and evaluate obligations arising from historical emissions. Synthesizing research on climate migration, adaptation funding, socio-economic inequalities, and climate litigation, we identify critical gaps, including insufficient intersectional perspectives and inequitable resource allocation. Our findings emphasize the urgent need for stronger institutional mechanisms to enforce CBDR, especially for displaced individuals lacking legal protection. Although climate litigation is increasingly used to hold high-emission actors accountable, its effectiveness remains debated. Ultimately, while CBDR provides a normative foundation for addressing environmental displacement, its current application is fragmented. We conclude that unified international efforts and comprehensive policy frameworks are essential to align fairness and accountability in a warming world.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1875300</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1875300</link>
        <title><![CDATA[Solar energy transition in Latin America: institutional capacity, not resource endowment, drives effective utilization—evidence from Ecuador and 17 countries]]></title>
        <pubdate>2026-07-29T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Miguel Aizaga</author><author>Renato M. Toasa</author><author>Karen Stephany Cordova-Vera</author><author>Carlos Aizaga</author>
        <description><![CDATA[Climate change has intensified the urgency of transitioning to renewable energy. This study analyzes the energy transition, specifically solar in Ecuador in comparison with 17 other Latin American countries (excluding island nations) to ensure structural comparability. Environmental variables (solar irradiance GHI and photovoltaic potential PVOUT), economic variables (GDP per capita and renewable generation per capita), and institutional variables (political stability and regulatory quality) are used, with data from IRENA, the Global Solar Atlas, and the World Bank for 2020–2023. Spearman’s correlation analysis shows that no single variable significantly explains the solar capacity factor (ρ_GHI = 0.14; p = 0.58), demonstrating that resource availability does not determine its utilization. The main contribution is the construction of a typology of four trajectories using hierarchical clustering (Ward, K = 4): an intermediate-performance group (including Ecuador), a group with high endowment and variable outcomes, a cluster of small economies, and a leading case represented by Chile. Ecuador exhibits a gap between its solar potential and its effective utilization, associated with hydroelectric dependence and regulatory limitations. It is concluded that the solar transition depends more on institutional and public policy factors than on natural resource endowment. These findings carry direct implications for climate policy: countries such as Ecuador, which exhibit a structural gap between solar potential and effective utilization, face barriers that limit their capacity to diversify away from hydroelectric dependence, reduce carbon intensity in the electricity sector, and meet the renewable energy targets embedded in their Nationally Determined Contributions (NDCs).]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1794601</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1794601</link>
        <title><![CDATA[Cosmopolitics as the co-production of action]]></title>
        <pubdate>2026-07-29T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Olga Ulturgasheva</author><author>Barbara Bodenhorn</author>
        <description><![CDATA[IntroductionArctic environmental change and intensified extractive/governance pressures are often framed through prediction, risk management, and expert control. This article argues instead that Indigenous cosmopolitical practices show how action becomes possible when inherited knowledge, human authority, and stable environmental cues cannot be assumed.MethodsWe bring cosmopolitical and multiple-worlds theory into dialogue with long-term ethnographic fieldwork, remembered field conversations, oral histories, whaling discourse, and ceremonial narratives from Eveny, Yup’ik, Iñupiaq, and Coast Salish contexts. We read these materials comparatively to ask how humans, animals, weather, ice, land, spirits, memories, and institutions participate in judgement, movement, refusal, and obligation.ResultsAcross the cases, cosmopolitics emerges less as an abstract recognition of plural ontologies than as the co-production of action. Yup’ik dog-team and Eveny reindeer accounts show authority redistributed under pressure when animals refuse unsafe human commands. Eveny border-crossing and cryospheric memory stories reveal a politics of perception in which snow, ice, light, cold, and animal sensing shape what can be seen, hidden, trusted, or acted upon. Iñupiaq whaling ethics show that whale–human relations depend on maintaining conditions of welcome through sharing, restraint, attention, and collective accountability amid regulatory, extractive, scientific, and media scrutiny. Eagle/Wolf and ceremonial narratives extend collaboration beyond human-centred reciprocity toward transformation across species, elements, and generations.DiscussionBuilding on Stengers’ demand for ralentissement and grounding it in the Eveny concept of nyamnin, we show that hesitation is not the opposite of action. Stopping, waiting, yielding, refusing, hiding, sharing, rerouting, and withholding judgement can be practical modes of safety and political refusal. Cosmopolitics thus names an operative practice for living with volatility: a way of remaining answerable to more-than-human warnings and obligations while challenging technocratic regimes that mute whales, reindeer, dogs, ice, land, and the dead within singular causal explanations.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1852673</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1852673</link>
        <title><![CDATA[Building climate resilient mental healthsystems in South Asia: a framework for preparedness]]></title>
        <pubdate>2026-07-29T00:00:00Z</pubdate>
        <category>Perspective</category>
        <author>Mehr Muhammad Adeel Riaz</author><author>Sushila Tiwari</author><author>Rahul M. Jindal</author>
        <description><![CDATA[Climate change is rapidly turning South Asia into one of the most climate-vulnerable regions in the world. Flooding, heatwaves, and agrarian distress are accelerating the burden of mental disorders across populations. This perspective examines how extreme weather events, particularly floods, droughts, and heat stress produce acute and chronic psychological impacts that include anxiety, post-traumatic stress disorder, depression, eco-anxiety, and agrarian despair. We propose a framework for climate-resilient mental health systems in South Asia, highlighting gaps in the current national programs of India's National Mental Health Program and Pakistan's resource constraint psychiatric healthcare system. We suggest specific actionable pathways: integrated surveillance systems, community-level task-shifting, digital mental health and psychosocial support tools, climate-finance alignment, and cross-border cooperation mechanisms. We aim to draw the attention of policymakers and disaster-management authorities operating at the intersection of climate change, mental and public health.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1872846</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1872846</link>
        <title><![CDATA[Managing climate overshoot: a risk-based strategy for climate stabilisation]]></title>
        <pubdate>2026-07-29T00:00:00Z</pubdate>
        <category>Perspective</category>
        <author>Graeme Taylor</author><author>Peter Wadhams</author><author>Thomas Goreau</author><author>Suzanne Reed</author><author>Heri Kuswanto</author><author>Daniele Visioni</author><author>Dennis Garrity</author>
        <description><![CDATA[Global warming is accelerating, yet current climate strategies centred on emissions reduction and carbon removal are unlikely to prevent temperatures from crossing dangerous tipping points. Although essential, these approaches operate too slowly to counter near-term warming driven by Earth’s growing energy imbalance, weakening carbon sinks, and amplifying climate feedbacks. This mismatch reflects systemic shortcomings in climate risk assessment that underestimate nonlinear risks and the escalating costs of delay. We argue that climate stabilisation should be treated as a risk-management challenge rather than an incremental policy process. This requires explicit comparison of intervention risks with those of continued warming. We outline a comparative risk–risk framework that integrates mitigation, carbon removal, and cooling interventions, and suggests that a viable strategy may require combining rapid decarbonisation and expanded carbon removal with carefully governed cooling interventions to limit near-term warming. Without aligning response timelines with accelerating climate threats, the likelihood of irreversible Earth-system disruption will continue to grow.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1873846</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1873846</link>
        <title><![CDATA[“The heat really troubles us”: community perspectives on a cool roof intervention, Umlazi, KwaZulu-Natal, South Africa]]></title>
        <pubdate>2026-07-27T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Saloshni Naidoo</author><author>Patrick Nyamaruze</author><author>Nisha Nadesan-Reddy</author><author>Nompumelelo Nzimande</author><author>Isabel Madzorera</author><author>Cheng He</author><author>Till Bärnighausen</author><author>Wafaie Fawzi</author>
        <description><![CDATA[IntroductionClimate change disproportionately affects communities experiencing social and environmental vulnerabilities. In South Africa, rising temperatures pose a significant risk to peri-urban communities. This pilot study explored community perceptions and attitudes toward the “cool roof” passive cooling technology for homes, as a climate adaptation strategy in Umlazi, South Africa.MethodTrained facilitators conducted focus group discussions with advisory board members from the Umlazi Health and Demographic Surveillance Site (USINGA) a peri-urban demographic surveillance node located in Umlazi, KwaZulu-Natal, South Africa, using a semi-structured guide and visual aids of cool roofs, to explore perceptions and attitudes toward cool roof interventions. Discussions were recorded, transcribed and analyzed using inductive thematic analysis following Braun and Clarke’s approach.ResultsThe emerging themes were: limited awareness and knowledge of cool roofs as a heat adaptation strategy, perceived benefits and acceptance, concerns and reservations, affordability and equity, design preferences, as well as the importance of partnerships and community engagement. Participants recognized the potential of cool roofs in reducing indoor heat, improving comfort, reducing extreme fatigue, and benefiting vulnerable populations; they viewed the intervention as timely and necessary. However, concerns were raised that some older people might believe that white roofs attract death, and some may indulge in the conspiracy theory that the coating is associated with disease. Participants questioned the long-term effectiveness of cool roofs and their compatibility with existing informal housing structures lacking traditional roofs. They felt that the current cost of paint may make the intervention inaccessible to those most in need of it, thereby limiting equitable distribution, as most people were unemployed. Furthermore, they believed that if cool roofs lacked long-term durability and required constant maintenance, people were unlikely to accept the intervention.ConclusionWhile overall perceptions were positive, engaging and educating the community through transparent communication and information on cool roof interventions will address concerns and encourage the adoption of these interventions. From a policy and practice perspective, government programs on climate resilience must be culturally sensitive and responsive to local beliefs while prioritizing vulnerable populations and being inclusive during climate adaptation planning. Further research is needed to inform the development of acceptable and scalable implementation strategies in peri-urban settings.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1831382</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1831382</link>
        <title><![CDATA[A GeoAI framework for coastal flood risk assessment: integrating remote sensing and socioeconomic data]]></title>
        <pubdate>2026-07-27T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Munshi Khaledur Rahman</author><author>Md Sariful Islam</author><author>Thomas Crawford</author><author>Emma Robinson</author><author>Md. Farhad Hossain</author>
        <description><![CDATA[Bangladesh’s coastal zone is widely recognized as one of the most hazard-prone regions of the world. Within this vulnerable belt, Lakshmipur District stands for its long, highly exposed coastline and its recurrent experience of hydrometeorological hazards, including frequent floods, tidal surges, river overflows, and intense monsoon rainfall. The district’s flat topography and geographic setting further amplify its susceptibility to both seasonal and extreme flood events. Notably, two consecutive major floods in 2024 and 2025 affected approximately 600,000 and 50,000 people, respectively, with the 2024 event alone causing crop losses exceeding BDT 2.27 billion. In response to these escalating risks, this study develops a Geospatial Artificial Intelligence (GeoAI)-based flood risk mapping framework that integrates multi-source satellite Earth observation data and social datasets to map flood extents for 2024 and 2025 and to predict flood risk for Lakshmipur District. Flood extents were derived using Sentinel-1 Synthetic Aperture Radar (SAR) imagery, while flood risk prediction employed a Random Forest classifier trained on elevation, slope, distance to rivers, precipitation, population, cropland, and built-up indices. The resulting probabilistic flood risk was classified into five categories ranging from very low to very high risk, with population and cropland exposure quantified at the union level. Model validation using 2025 flood data achieved an overall accuracy of 85.9% and a Cohen’s Kappa of 0.71, demonstrating strong predictive performance. The results highlight critical flood-risk and exposure hotspots, underscoring the utility of GeoAI-based approaches for enabling timely, efficient, and actionable flood risk assessments, particularly for vulnerable communities where early risk detection through mapping and modeling is essential for proactive disaster planning and targeted mitigation for natural disaster management.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1807933</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1807933</link>
        <title><![CDATA[Feasibility of CO2 pipeline construction to enable gigaton-scale carbon dioxide removals: evidence from historical precedent]]></title>
        <pubdate>2026-07-23T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Cameron Roberts</author><author>Jenna Hatcher Greene</author><author>Gregory Nemet</author>
        <description><![CDATA[Transporting carbon dioxide via pipelines may be part of future carbon dioxide removal processes as one component of meeting global temperature targets. In this analysis, we use the history of fossil fuel pipeline networks to assess the feasibility of rapidly building enough CO2 pipelines to enable gigaton-scale removals of CO2 from the Earth's atmosphere. We collect data on scenarios of CO2 pipeline construction, historical fossil fuel pipeline construction, and the historical context of this construction to answer four questions: (1) What length of pipeline network will be required to achieve the benchmarks of 1 Gt or 100 Mt of CO2 in 2050? (2) What have been the largest national and international fossil fuel pipeline buildouts achieved in a 25-year period? (3) Is it feasible to build enough CO2 pipelines to enable gigaton-scale carbon dioxide removals given these historical precedents? (4) Under what political, economic, and social circumstances have rapid pipeline build-outs occurred? We find that a pipeline network of roughly 8,000 km will be necessary to enable 100 Mt of carbon dioxide removal, and that roughly 100,000 km will be necessary for 1 Gt. There are 15 cases in the historical record of a country building 8,000 km of fossil fuel pipelines in 25 years, and only three cases of a country building 100,000km or more of pipelines in the same timescale. Rapid construction of fossil fuel pipelines has benefited from strong economic and institutional drivers, which may not apply to CO2 pipelines in the same way. Our findings are reason for caution about the likelihood of CO2 pipeline build outs keeping pace with CO2 removal targets.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1883998</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1883998</link>
        <title><![CDATA[Soil security under climate change: safeguarding soil systems in a warming world]]></title>
        <pubdate>2026-07-23T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Thilini Jayasekara</author><author>Alex McBratney</author><author>Damien Field</author>
        <description><![CDATA[Although climate change is one of the major global challenges that influences diverse sectors and impacts environmental, economic, and societal discussions worldwide, its impacts on soil systems are often overlooked. Climate stressors are increasingly disrupting many soil properties and essential functions, thereby threatening the long-term sustainability of soil resources. The first section of this review synthesizes the existing literature on the negative impacts of climate change on key soil functions and highlights the limited recognition of soils in major global climate discussions, emphasizing the importance of an integrated and systematic approach to assessing soil systems. In response, the review proposes the soil security framework as a practical pathway to safeguarding soils under changing climatic conditions. Soil security offers a comprehensive approach to evaluating soil systems through five interconnected dimensions: capacity, condition, capital, connectivity, and codification. Securing soils requires going beyond chemical, physical, and biological assessments to incorporate social, economic, and policy dimensions, which raises awareness and strengthens policy responses to climate-related risks, as clearly outlined in the soil security framework. The review demonstrates how this framework can be applied to assess climate change impacts and direct soil protection strategies. In practice, this conceptual framework can be operationalised through the Soil Security Assessment Framework (SSAF), allowing its application under real-world conditions. The SSAF provides a practical pathway for translating the soil security concept into climate change assessment and management, further supported by the pedogenon, genosoil, and phenosoil concepts, which help distinguish the inherent soil capacity to buffer climate impacts from their current condition under increased climatic pressures. Overall, this review concludes that the soil security framework supports the protection of soil systems while providing a foundation for developing effective adaptation and mitigation strategies to enhance soil resilience and protect soil systems under a changing climate.]]></description>
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