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        <title>Frontiers in Environmental Science | Interdisciplinary Climate Studies section | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/environmental-science/sections/interdisciplinary-climate-studies</link>
        <description>RSS Feed for Interdisciplinary Climate Studies section in the Frontiers in Environmental Science journal | New and Recent Articles</description>
        <language>en-us</language>
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        <pubDate>2026-05-14T22:01:44.485+00:00</pubDate>
        <ttl>60</ttl>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2026.1803958</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2026.1803958</link>
        <title><![CDATA[Assessment of air pollution disparities and allied climatic variability across the SAARC nations during the past quarter century]]></title>
        <pubdate>2026-05-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>R. Bhatla</author><author>Pradeep Kumar</author><author>Yajnaseni Dash</author><author>Needhish Bissessur</author><author>Abhishek Lodh</author><author>Vivek Singh</author><author>Amit Awasthi</author>
        <description><![CDATA[This study presents a comprehensive 25-year chronology of air pollution and climatic variable disparity across seven SAARC nations—Afghanistan, Bangladesh, Bhutan, India, Nepal, Pakistan, and Sri Lanka—emphasizing the region’s developing burdens of fine PM2.5 and SO2 from 2000 to 2024. MODIS and MERRA-2 data are used for a regional-scale analysis of seasonal, annual, and inter-annual variations in PM2.5 and SO2 concentrations. Spatially averaged metrics reveal marked disparities among SAARC countries, with Bangladesh, India, and Pakistan emerging as severe hot spots of PM2.5 pollution. Seasonal cycles demonstrate that winter months commonly experience peak pollutant accumulation, attributed to stable atmospheric boundary layers and reduced vertical mixing. Conversely, monsoon periods generally result in lower PM2.5 and SO2 concentrations due to enhanced wet scavenging and increased rainfall. PM2.5 values range as high as 100 µgm−3 in Bangladesh and often exceed 55 µgm−3 seasonally in India, while Sri Lanka and Bhutan maintain comparatively lower baseline levels, although with episodic cross-boundary pollution spikes. Simultaneously, climatic variables such as temperature, wind speed, precipitation, and planetary boundary level height were analyzed for air pollution. This study shows that policy interventions, although increasing, remain insufficiently robust to counteract the region’s escalating pollution problem as continued industrialization, population growth, and infrastructure expansion offset regulatory progress. The analysis provides an understanding of the spatio-temporal evolution of PM2.5 and SO2 in South Asia, highlighting the urgent need for regionally coordinated, multi-sector emission control strategies. Bangladesh stands out as the most severely impacted, followed by India. The overall air quality in the SAARC nations has been deteriorating, notably over the most recent 4-year period.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2026.1797545</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2026.1797545</link>
        <title><![CDATA[Enhanced weather classification using xception with SENet and attention mechanisms]]></title>
        <pubdate>2026-05-04T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Gunjan Shandilya</author><author>Sheifali Gupta</author><author>Abdul Khader Jilani Saudagar</author><author>Sunnia Ikram</author><author>Ateeq Ur Rehman</author><author>Isabel De la Torre Díez</author><author>Heba G. Mohamed</author><author>Ramón Pali Casanova</author><author>Ángel Kuc Castilla</author><author>Upinder Kaur</author>
        <description><![CDATA[IntroductionWeather classification plays a crucial role in applications such as environmental monitoring, disaster management, and smart city infrastructure. Accurate and efficient classification of weather conditions from images remains a challenging task due to variations in illumination, texture, and atmospheric conditions.MethodsThis study proposes an efficient deep learning framework for multi-class weather classification by integrating the Xception architecture with Squeeze-and-Excitation (SE) blocks and a spatial attention mechanism. Transfer learning with pre-trained ImageNet weights was employed, and a comparative analysis was conducted using EfficientNet-B3, ResNet152V2, and Xception architectures. The proposed enhanced Xception model incorporates channel-wise recalibration and spatial feature refinement to improve representational capability. The model was trained and evaluated on the Multi-Class Weather Dataset (MWD), which consists of 1,125 images categorized into four classes: sunshine, cloudy, rain, and sunrise. To ensure robustness and generalization, 5-fold cross-validation, statistical significance testing, calibration analysis, and robustness evaluation under image perturbations were performed.ResultsThe proposed model achieved a classification accuracy of 99.06% on the test set. Additionally, it attained a macro precision of 98.3%, macro recall of 97.7%, and macro F1-score of 98.0%. The model demonstrated strong generalization capability and robustness under varying perturbation conditions, with only moderate computational overhead.DiscussionThe integration of SE blocks and spatial attention significantly enhances feature representation by emphasizing informative channels and spatial regions. Compared to baseline architectures, the proposed framework shows superior performance in terms of accuracy and robustness. These results indicate that the model is well-suited for real-world weather classification applications, particularly in intelligent environmental monitoring systems.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2026.1766738</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2026.1766738</link>
        <title><![CDATA[Scientific coherence in climate change research: a meta-research perspective to accelerate scientific progress and climate justice]]></title>
        <pubdate>2026-04-24T00:00:00Z</pubdate>
        <category>Perspective</category>
        <author>Andy A. Acosta-Monterrosa</author><author>Kevin Fernando Montoya-Quintero</author><author>Fabriccio J. Visconti-López</author><author>Ivan David Lozada-Martínez</author>
        <description><![CDATA[Climate change research has expanded at an unprecedented speed, yet its growth has not necessarily translated into proportional advances in global resilience, equity, and climate justice. This Perspective introduces the conceptual framework of scientific coherence, defined as the alignment between the volume, geographic origin, thematic focus, and translational capacity of climate research and the real distribution of climate vulnerability and risk. Using a scoping scientometrics snapshot of Scopus-indexed, final-stage journal publications on climate change (n = 483,333; 1946–2024), we describe structural imbalances favoring high-income regions while low- and lower-middle-income countries, despite being the most affected, remain significantly underrepresented. Under a conservative, title-based filter, only 0.001% of these Scopus-indexed climate-change journal documents were identified as integrating a meta-research perspective, indicating a very small lower-bound share. We argue that climate science requires a systematic evaluation of its evidence-generation system to better assess whether research agendas, funding priorities, and implementation strategies reflect global needs rather than geographic scientific privilege. We propose a four-pillar framework of scientific coherence, geographic, thematic, temporal, and translational, as a pathway to strengthen climate research utility, accelerate policy impact, and embed climate justice into scientific production. This perspective positions meta-research as a useful roadmap for future implementation in high-value, globally relevant climate science, aligning directly with the cross-disciplinary and impact-driven mission of the global scientific progress.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2026.1784152</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2026.1784152</link>
        <title><![CDATA[Policy learning pathways in disaster management: evolution of flood prevention systems in China’s megacity]]></title>
        <pubdate>2026-04-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Jiale Qian</author><author>Yi Ji</author><author>Pan Guo</author><author>Yunpeng Wu</author>
        <description><![CDATA[How do urban emergency management systems evolve through policy learning, and what institutional mechanisms drive this evolution? This study addresses this question by examining three versions of megacity Changsha’s flood prevention emergency plans spanning nearly a decade (2012, 2017, 2020), supplemented by semi-structured interviews with 12 government officials and four official post-disaster assessment reports. We construct an integrated analytical framework combining large language model-based task segmentation (DeepSeek-V3), Chinese semantic embedding (bge-large-zh-v1.5) with BERTopic topic modeling, and bipartite social network analysis to systematically trace the structural evolution of flood emergency management. Qualitative evidence from thematic coding and documentary analysis is triangulated with computational findings to establish causal mechanisms underlying policy changes. Results reveal an evolutionary trajectory from single-department centralized management to multi-department division of labor and finally to cross-departmental coordinated response. Information Planning, Monitoring and Early Warning, and Material Support emerged as focal points by 2020, driven by institutional incentives favoring anticipatory governance, while Engineering Emergency Response and Logistics Support maintained core positions throughout. Publicity and Reporting, Social Security, and Material Support developed as critical bridging nodes for information flow and resource coordination. We identify three interacting policy learning pathways—crisis-driven learning mediated through hierarchical accountability, top-down diffusion of national directives with local adaptive implementation, and horizontal cross-jurisdictional policy borrowing—that jointly produce bounded experimentation under hierarchical constraints. These findings extend crisis-driven policy learning theory to authoritarian governance contexts and provide new methodological tools for understanding adaptive changes in urban emergency management systems.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2026.1759675</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2026.1759675</link>
        <title><![CDATA[Exploring the influence of land use land cover change on the urban thermal environment]]></title>
        <pubdate>2026-03-30T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Vikram Bharti</author><author>Thendiyath Roshni</author>
        <description><![CDATA[The rapid urbanization in developing countries is accompanied by a significant increase in built-up surfaces, such as concrete structures, buildings, and paved roads, which ultimately results in elevated land surface temperature (LST). Specifically, the middle-tier cities, such as Patna, which is developing at a rapid rate, are experiencing a significant shift in their land use pattern. This trend results in the intensification of the urban heat island (UHI) effect, making cities and towns significantly hotter than rural areas and reducing thermal comfort for residents. To address this issue, the study aimed to analyze the temporal and spatial variation of UHI and its correlation with land use indices in the Patna district, which has a population density well above the national average. UHI and Urban Thermal Field Variance Index (UTFVI) maps were generated to assess the severity of impact of built-up surfaces in the region. The findings revealed a significant increase of 179.72% in the built-up area from 2017 to 2023. The land surface temperature (LST) ranges from 27 °C to 67 °C, with a significant increase in the area of higher temperature ranges. UHI formation reveals that the extent of the very strong heat island zone expanded from the southwest to cover the entire study area by 2023. The UTFVI results indicated that the environmental condition category of the region is deteriorating over time and across space. The results of this study will contribute significantly to the development of strategies for green space planning and enhancing thermal comfort in developing cities.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2026.1662390</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2026.1662390</link>
        <title><![CDATA[Evaluation and analysis of climate change adaptive capacity in the Chengdu-Chongqing region, southwestern China]]></title>
        <pubdate>2026-03-27T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Qi Liao</author><author>Dan Liu</author><author>Ling Yang</author><author>Mei Shi</author>
        <description><![CDATA[Various strategies have been proposed to enhance the adaptive capacity to climate change. The majority of studies evaluating adaptive capacity have focused on the provincial level, with relatively fewer studies conducted at the municipal or sub-municipal levels. Also, much of the research tends to concentrate on specific aspects of climate change impacts. The Chengdu-Chongqing region faces substantial challenges due to climate change, making the strengthening of urban capacity for climate change adaptation particularly crucial. This study constructs an evaluation index system for urban climate change adaptive capacity of Chengdu and Chongqing from 2017 to 2023. The findings indicate substantial improvements in adaptive capacity, driven by key factors such as water resources, human health, infrastructure, and disaster prevention. Notably, indicators such as the green coverage rate, cultivated land area, and health technician availability emerged as critical contributors to adaptive capacity. This research highlights a strategic shift towards technological-financial capacity and the strengthening of institutional frameworks. The research identifies key future priorities for enhancing urban adaptation, such as increasing green space, improving water resource management, and strengthening health systems. Furthermore, we discuss the regional coordination climate change adaptation capacity in Chongqing and Chengdu, policy recommendations, and adaptation funding allocation recommendations. The research pioneers an integrated evaluation system for urban adaptive capacity assessment, thereby contributing innovative decision-support for cities seeking to strengthen their adaptive capacity.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2026.1719593</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2026.1719593</link>
        <title><![CDATA[Maximum grain size record from sediments of a Czech headwater lake reveals precipitation patterns during the Allerød to Younger Dryas transition]]></title>
        <pubdate>2026-03-26T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Gunther Kletetschka</author><author>Daniel Vondrák</author><author>Verena Meier</author><author>Tomáš Hubáček</author><author>Petr Porcal</author><author>Hendrik Küpper</author><author>Jiří Jan</author><author>Joanne P. Ballard</author><author>Eva Löbelová-Švecová</author><author>Marian Takáč</author><author>Lucie Smrčinová</author><author>Šárka Matoušková</author><author>Jan Rohovec</author><author>Evžen Stuchlík</author>
        <description><![CDATA[This study examines environmental changes recorded in the sediments of Plešné Lake (48°46.6’N, 13°51.9’E, Bohemian Forest, Czech Republic) between 13,200 and 12,200 cal yr BP, encompassing the Allerød-Younger Dryas (AL-YD) transition (∼12,900 years ago). Using sedimentological, geochemical, and chronological analyses, we reassess the prevailing interpretation of consistently arid conditions at the onset of the Younger Dryas (YD) and instead propose a more complex hydroclimatic pattern. We introduce a methodological innovation based on microscopic measurements of maximum grain sizes as a high-resolution proxy for precipitation intensity. The chronological framework integrates radiocarbon dating with the identification of the Laacher See cryptotephra, extending the known distribution of this important volcanic marker within the Bohemian Forest region. Our findings indicate an initial drying at the beginning of the YD followed by episodes of intense precipitation during the early YD, suggesting a two-phase model rather than uniformly arid conditions. An organic-rich layer spanning the AL-YD transition shows that organic accumulation began prior to both the tephra deposition and the YD onset. Geochemical analyses reveal a phosphorus anomaly and associated elemental patterns, likely reflecting a combination of volcanic input, acid rain-induced mobilization, and localized lacustrine processes. This suggests gradual environmental changes were already underway before these events. Several lines of evidence suggest that the Laacher See eruption (∼13 cal kyr BP), which preceded the YD onset by approximately 100–200 years, contributed to environmental stress in the region. Overall, these results highlight the complex nature of climate and environmental changes during the AL-YD transition, and provide local constraints that can be integrated into broader discussions of volcanic influences and hydroclimatic variability around the YD onset.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2026.1827715</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2026.1827715</link>
        <title><![CDATA[Correction: Nature-based solutions for climate adaptation in small island developing states: a systematic review]]></title>
        <pubdate>2026-03-17T00:00:00Z</pubdate>
        <category>Correction</category>
        <author>Zoe Brown</author><author>Katrina Kendall</author><author>Emma O’Donnell</author><author>Leah Tavasi</author><author>Nathalie Seddon</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2026.1751795</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2026.1751795</link>
        <title><![CDATA[Study on the impact of climate physical risks on urban sustainability and resilience]]></title>
        <pubdate>2026-03-10T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Feiyan Wang</author><author>Jianhui Yin</author><author>Nan Li</author>
        <description><![CDATA[Amid intensifying climate change, climate physical risks (CPR)—including extreme heat, heavy rainfall, and drought—have become critical constraints on urban development. This study constructs an Urban Sustainability and Resilience (USR) index using data from 177 Chinese cities from 2000 to 2023, and applies a spatial Durbin model to examine the spatial impacts of CPR. Technological Innovation (TI) development and government support (GS) are incorporated to identify the underlying transmission mechanisms. The results show the following: (1) CPR exerts a significant negative influence on USR, displaying a spatial pattern of “mild local enhancement but strong spillover attenuation,” consistently observed for both sustainability and resilience. (2) Notable regional heterogeneity exists: CPR effects are strongest in western cities, while eastern and central cities experience weaker impacts due to higher adaptive capacity. (3) Mechanism analysis indicates that TI and GS serve as partial mediators, forming a “risk–technology–governance” transmission pathway. These findings provide empirical evidence for strengthening urban climate adaptation, promoting regional collaborative governance, and enhancing digital risk-response capabilities.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2026.1770300</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2026.1770300</link>
        <title><![CDATA[Drought vulnerability assessment of a climate sensitive GI crop using earth observation: the Korkuteli Karyağdı pear]]></title>
        <pubdate>2026-02-23T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Ercument Aksoy</author>
        <description><![CDATA[IntroductionThis research aims to spatially determine the risk associated with climate change impacting the Geographical Indication (GI) registered Karyagdi Pear variety, which is grown in the Korkuteli district of the Antalya Province in Turkey, where the area in question contributes greatly to the country’s tourism and agricultural economy and was previously identified for its high biodiversity and microclimate variations. Besides being home to a valuable biological diversity, this area is where the GI product is grown. The increased drought stress imposed by global warming affects this region, which is threatened both by the biological environment and the economic viability of the production sector, as well as the sustainability of the GI status.MethodsIn the Google Earth Engine (GEE) platform, data sets such as Moderate Resolution Imaging Spectroradiometer (MODIS), ECMWF Reanalysis v5 (ERA5) Land Reanalysis data, and Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) from the years 2001 to 2023 were analyzed to provide estimates for the Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), Land Surface Temperature (LST), ambient temperature data, evapotranspiration (ET), soil moisture (SM), and precipitation anomaly. Data sets were then rescaled to a range between 0 and 1. In addition to the aforementioned data sets, other subindices created included the Vegetation Drought Index (VDI), the Hydro Thermal Index (HTI), and the Meteorological Drought Index (MDI). The Composite Drought Risk Index (CDRI) map was created through the assembly of the aforementioned elements.ResultsThe results of the study revealed that SM was low, surface temperature was high, and vegetation vitality was low. Bayat, Esenyurt, Kargin, Küçükköy, and Yazir neighborhoods were identified as high drought risk areas, while Asagipazar, Tatköy, and Karsiyaka districts were found to be low drought risk areas. The study’s findings indicate that GI crop production areas are at risk from drought. Unlike drought analyses that rely on a single indicator, this study employed a multiindex methodology that considers vegetation vitality, atmospheric changes, and hydrothermal dynamics together. This study is a pioneering work in establishing a drought risk index for GI crops using ground observation technology.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2025.1598722</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2025.1598722</link>
        <title><![CDATA[Opportunities for improved detection of linked hydroclimate‐ecosystem dynamics in Arctic catchments ]]></title>
        <pubdate>2026-02-13T00:00:00Z</pubdate>
        <category>Mini Review</category>
        <author>Johanna Mård</author><author>Torben Røjle Christensen</author><author>Joseph M. Culp</author><author>Willem Goedkoop</author><author>Hannu Marttila</author><author>Niels Martin Schmidt</author><author>Timo Vihma</author>
        <description><![CDATA[Climate warming is transforming Arctic landscapes through changes in the cryosphere and water systems that together contribute to alterations in the structure and function of ecosystems. To better understand these interlinked processes and feedbacks, previous research has recommended studies at the catchment scale that explicitly couple hydroclimatic fluxes and their interactions with the environment. However, using such an approach requires coordinated cross-disciplinary monitoring. In this review, we synthesize knowledge on available monitoring of key hydroclimate and ecosystem indicators to identify opportunities to use a catchment-based approach for improved understanding of climate-ecosystem dynamics in the Arctic. There is overall a small spatial overlap between the coverage of hydroclimate and ecosystem monitoring. In-situ monitoring of both climate and hydrological variables is sparse with a northward decline in observation density, while most ecosystem monitoring is focused around accessible regions and near Arctic research stations. As a result, our study shows that only two catchments within the pan-Arctic drainage basin include monitoring of both hydroclimate and ecosystem variables. Although this general spatial mismatch results in a limitation in using a catchment-based approach to study hydroclimate-ecosystem interactions across the Arctic, there are opportunities in some data rich regions. We have identified 32 catchments that include monitoring of all hydroclimate variables. These can be used as a starting point for catchment-based approaches to study climate-ecosystem interactions, and continued improvement of observation methods can further help identify regions with the best potential for downscaling climate model output for future projections. But this requires prioritized coordinated ecological and hydroclimatic monitoring efforts in regions most vulnerable to climate change.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2026.1630913</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2026.1630913</link>
        <title><![CDATA[A perspective on carbon footprint of decentralized manufacturing of lithium-ion cells industrialization]]></title>
        <pubdate>2026-02-05T00:00:00Z</pubdate>
        <category>Perspective</category>
        <author>Aswani Jayadevan</author><author>Mannav Pulluru</author><author>Ebenezer Duggapogu</author><author>Satyanarayana Madukkuri</author><author>Harimohan Erabhoina</author><author>Jagadish Mandava</author>
        <description><![CDATA[Lithium-ion cells are in high demand worldwide due to the rise in EVs, green energy storage, and consumer electronic devices. Establishing a decentralized manufacturing ecosystem for LIB cells is essential as local public and private firms strive to become major participants in this sector. This research article focuses on the carbon footprint of producing current lithium-ion batteries (LIBs; LFP ̴152 kgCO2eq/kWh, NMC811 ̴ 205 kgCO2eq/kWh and NMC622 ̴202 kgCO2eq/kWh, respectively), discusses on different stage of sustainable manufacturing ecosystem, and investigates the carbon footprint dependency on decentralized manufacturing in any geographic area. As a result of this the overall emissions generated across all production steps of lithium-ion cells may be expected to reduce about 6%–7% by 2030.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2026.1776354</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2026.1776354</link>
        <title><![CDATA[Editorial: Climate change impacts on arctic ecosystems and associated climate feedbacks]]></title>
        <pubdate>2026-01-28T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>Torben R. Christensen</author><author>Per Fauchald</author><author>Marie Frost Arndal</author><author>Tom Christensen</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2026.1778816</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2026.1778816</link>
        <title><![CDATA[Editorial: Impact of climate change on carbon sequestration in terrestrial ecosystems]]></title>
        <pubdate>2026-01-19T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>Hongxing He</author><author>Binggeng Xie</author><author>Yongmei Huang</author><author>Xiaoyong Bai</author><author>Cicheng Zhang</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2025.1747632</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2025.1747632</link>
        <title><![CDATA[Climate change impacts on Arctic ecosystems and associated feedbacks]]></title>
        <pubdate>2026-01-16T00:00:00Z</pubdate>
        <category>Policy Brief</category>
        <author>Per Fauchald</author><author>Torben Røjle Christensen</author><author>Tom Christensen</author>
        <description><![CDATA[Climate change is currently reshaping Arctic ecosystems, with highly uncertain future outcomes. In the best-case scenario, warming could lead to the replacement of Arctic ecosystems by more diverse and productive sub-Arctic or temperate ecosystems, which may serve as net carbon sinks. However, recent research indicates that environmental disturbances caused by rapid warming could transform these ecosystems into heavily perturbed and degraded states, resulting in a net release of carbon to the atmosphere. The eventual outcome depends on the scale and pace of environmental changes, as well as the extent of other human disturbances in the region. To navigate these changes, we argue that it is crucial for Arctic nations to collaborate in monitoring and ecosystem-based management while developing policy-relevant pathways and scenarios to guide adaptation in a rapidly changing Arctic.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2025.1706713</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2025.1706713</link>
        <title><![CDATA[Nature-based solutions for climate adaptation in small island developing states: a systematic review]]></title>
        <pubdate>2026-01-07T00:00:00Z</pubdate>
        <category>Systematic Review</category>
        <author>Zoe Brown</author><author>Katrina Kendall</author><author>Emma O’Donnell</author><author>Leah Tavasi</author><author>Nathalie Seddon</author>
        <description><![CDATA[IntroductionSmall Island Developing States (SIDS) are disproportionately affected by climate change, with impacts threatening their communities, ecosystems, and economies. Nature-based solutions (NbS) offer a promising approach to address these challenges, yet their effectiveness in SIDS remains poorly understood.MethodsWe systematically reviewed 49 studies reporting 53 NbS interventions across 26 SIDS, coding intervention types, ecosystems, climate hazards, adaptation effectiveness, broader outcomes (social, ecological, economic, mitigation), and reported socio-ecological resilience mechanisms.ResultsNearly three-quarters of cases reported positive climate outcomes, though only half provided clear evidence, and fewer employed baselines, counterfactuals, or thresholds. Evidence was skewed toward croplands and agroforestry, while coastal ecosystems were underrepresented. Broader outcomes were mostly positive, but reporting on ecological and social resilience mechanisms was limited, equity considerations were largely absent, and formal economic appraisals and direct comparisons with non-NbS alternatives were scarce. Large geographic gaps were also evident, with more than half of SIDS unrepresented in the literature.DiscussionOverall, the evidence indicates that NbS can reduce climate risks in SIDS and deliver ‘triple wins’ for climate, biodiversity, and people, but decision confidence is constrained by uneven geographic coverage, agricultural bias, lack of counterfactuals and baselines, limited equity reporting, and scarce economic appraisal. Future research priorities include: (1) stronger representation of under-studied SIDS contexts, (2) greater focus on coastal and ocean-related NbS, (3) evidence linked to baselines and counterfactuals, (4) holistic, long-term monitoring and evaluation, (5) national- and regional-scale synthesis of grey literature, and (6) integration of equity and knowledge pluralism in NbS design and evaluation. These steps would help governments design, finance, and account for high-integrity NbS in NDCs, NAPs, adaptation investment plans, and disaster-risk strategies.Systematic Review Registrationhttps://osf.io/wcb68, identifier wcb68.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2025.1687534</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2025.1687534</link>
        <title><![CDATA[From a hefty greenery to a parched paradise: assessing the impacts of climate change on water security and biodiversity decline in the Western Cape Province of South Africa]]></title>
        <pubdate>2026-01-07T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Zenande Mbana</author><author>Mulala Danny Simatele</author>
        <description><![CDATA[BackgroundThis systematic review integrates existing evidence within a multi-scale analytical framework to understand how climate-induced water stress affects biodiversity in Mediterranean-climate regions, using Erica species in the Cape Floristic Region (CFR) as a model system.MethodsFollowing PRISMA guidelines, we systematically reviewed 57 peer-reviewed articles from Scopus and Google Scholar, organizing findings using the DPSIR (Drivers-Pressures-State-Impacts-Responses) framework across three spatial scales: global Mediterranean, regional Sub-Saharan Africa, and local Cape Floristic Region.Results and DiscussionSystematic synthesis reveals water availability as the primary mechanism mediating climate impacts on Erica biodiversity across all examined contexts. Integration of quantitative evidence from multiple independent studies identifies threshold patterns where water deficits of 20%–30% relative to historical conditions distinguish resilient from vulnerable populations in European systems, though documented thresholds vary among populations (20%–40% range) and require validation for CFR endemic species. Cascading impacts progress from physiological stress (40% flowering reduction under experimental drought) through demographic bottlenecks (50%–70% germination decline under moisture limitation) to ecosystem functional changes. While physiological response mechanisms operate consistently across Mediterranean regions, vulnerability magnitude is context-dependent: synthesis suggests CFR’s approximately 700 endemic species exhibit narrower tolerances than European congeners, reflecting evolution under stable climatic conditions versus historical variability. This multi-scale framework distinguishes generalizable physiological principles from context-specific vulnerabilities, providing operational guidance for conservation priority-setting. The DPSIR structure explicitly traces causal pathways from global drivers to local responses, enabling identification of intervention leverage points across organizational levels from regional water policy through landscape connectivity to site-scale microhabitat management. Findings indicate that conservation strategies developed for European Erica populations may underestimate CFR vulnerabilities without accounting for narrower endemic tolerances and limited adaptive capacity arising from rapid recent diversification.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2025.1713793</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2025.1713793</link>
        <title><![CDATA[Assessing the impact of land use patterns on rain-flood risk in high-density urban centers: a SCS-CN model-based approach]]></title>
        <pubdate>2025-11-28T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Kun Ma</author><author>Xiaoming Li</author><author>Qiqi Liu</author><author>Wen Zhou</author><author>Weiming Li</author>
        <description><![CDATA[In this paper, we employ an enhanced watershed division method and the establishment of stormwater corridors, in conjunction with the SCS-CN model, to quantitatively assess flood disasters under varying rainstorm intensities in the central city of Nanjing, Jiangsu, China. The study also analyzes local adaptation practices and their effectiveness in mitigating adverse effects, taking into account the existing urban roadways and rivers. The results of our research demonstrate that this approach accurately analyzes runoff from each land unit, identifies the location, area, and propagation pattern of land units susceptible to flooding under different rainstorm intensities. Furthermore, the rain-flood corridors developed through this method effectively integrate the urban rain-flood pipeline network and provide a more precise analysis of infiltration losses during the runoff process. In conclusion, the flood safety pattern derived from this data offers valuable technical guidance for managing extreme rainstorm floods in central urban areas.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2025.1504568</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2025.1504568</link>
        <title><![CDATA[Impacts of novel wildfire disturbance on landcover and wildlife in boreal North America]]></title>
        <pubdate>2025-11-14T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Jennifer L. Baltzer</author><author>Samuel Haché</author><author>James Hodson</author><author>M. Razu Ahmed</author><author>Suzanne Carrière</author><author>Matthew Coyle</author><author>Eliot J. B. McIntire</author><author>Ashley McLaren</author><author>Eamon Riordan-Short</author><author>Merritt R. Turetsky</author><author>Jurjen van der Sluijs</author><author>Joanna Wilson</author><author>Bradley K. Woodworth</author>
        <description><![CDATA[The summer of 2023 was the first time the planet exceeded 1.5 °C above pre-industrial average temperatures and was recognized as the hottest year on record globally. In Canada, this translated to temperatures that were 2.2 °C above average, resulting in a record shattering fire season. Burning conditions were exceptional in many ways including large total burned area and individual fire size, vast swaths of short-interval reburns and severe combustion, fast-moving wildfires, and substantial burning outside of the typical fire season, reflecting climate warming-induced changes in fire regime. While we know how some components of biodiversity in the boreal biome have responded to historic burning, the 2023 fire season highlights that we are rapidly moving into a novel set of burning conditions and that we require better knowledge of how these conditions will alter landcover and the associated wildlife communities. Here, we synthesize our understanding of how changing fire regimes will affect (short- and long-term effects) boreal landscapes and the implications of these changes for terrestrial wildlife using the extreme burning conditions in subarctic forests of the Northwest Territories, Canada in 2023 as a case study. Our goals were to a) evaluate the impacts of the changing fire regime on habitat composition and/or structure in the short- and longer-term; and b) assess the potential responses of terrestrial vertebrates to these changes based on our understanding of their reliance on key aspects of habitat composition and/or structure. We describe impacts of changes in individual aspects of the fire regime on wildlife taxa but, overall, at the landscape level, changes in fire regime are altering the composition and structure of boreal forests, which will drive decreases in taxa requiring mature conifer forest and post-fire structural complexity while favoring early seral species or those that prefer broadleaf forests or open habitats. This review offers us a range of possibilities about the future landcover and northern wildlife communities under changing wildfires, however uncertainties about feedbacks and future conditions of this vast, diverse, and remote landscape present the greatest challenges for forecasting and other supports for adaptation planning.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenvs.2025.1722615</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenvs.2025.1722615</link>
        <title><![CDATA[Editorial: Addressing climate change in agriculture and natural resources with a focus on adaptation and extreme events]]></title>
        <pubdate>2025-11-07T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>Prakash Kumar Jha</author><author>Prakash Kumar Jha</author><author>Sushant Mehan</author><author>Saswata Nandi</author>
        <description></description>
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