Advances in Climate Change Research最新文献

{"title":"Climate change adaptation technology development of key socioeconomic sectors and ecosystem in China","authors":"Yin-Long Xu,&nbsp;Kuo Li,&nbsp;Xin-Yue Zhang,&nbsp;Ming-Yue Zhao","doi":"10.1016/j.accre.2025.07.006","DOIUrl":"10.1016/j.accre.2025.07.006","url":null,"abstract":"<div><div>Adaptation technology plays a crucial role in achieving adaptation goals, but its development remains disorganised and unsystematic. To efficiently support the implementation of adaptation actions, fostering innovation in adaptation technology is urgently needed. In this study, adaptation technologies were firstly collected from China's four National Assessment Reports on Climate Change to create a technology list. The adaptation technologies were then categorised into four components: reducing climatic hazards, diminishing exposure, decreasing vulnerability and increasing adaptive capacity. These categories were further applied to sectors such as agriculture, ecosystem, water resources, human health and energy. Comparison results of the archived adaptation technologies in the four National Assessment Reports, with the development targets outlined in China's Special Science &amp; Technology Plan on Climate Change, revealed that while adaptation technologies have been enriched in China, substantial gaps remain. These gaps arise from an imbalance in the development of adaptation technologies across different socioeconomic sectors, a lack of integration of these technologies into a systematic package and weak linkages between the attributes of adaptation technologies and climate risk levels. We propose that the adaptation technology system should be developed based on the theoretical mechanisms of adaptation, with the main goal of efficiently reducing climate risk. The framework for the adaptation technology system should be comprehensive, considering the synergy between adaptation and mitigation. The framework should also be constructed with logical layers that address opportunities and dangers from climate change across multiple spatiotemporal scales, while capturing the nexus between various sectors. Incremental and transformational adaptation should be considered as two basic categories of the adaptation technology system, each corresponding to different climate risk levels.</div></div>","PeriodicalId":48628,"journal":{"name":"Advances in Climate Change Research","volume":"16 4","pages":"Pages 666-673"},"PeriodicalIF":5.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying indirect economic losses from extreme events to inform global and local adaptation strategies","authors":"Bo-Wen Wang ,&nbsp;Yi He ,&nbsp;Wen-Hao Wu ,&nbsp;Fei Teng","doi":"10.1016/j.accre.2025.07.001","DOIUrl":"10.1016/j.accre.2025.07.001","url":null,"abstract":"<div><div>Existing studies on extreme event attribution are typically event-specific, particularly those conducted since the early 2000s. They primarily focus on direct economic losses to people and physical assets while overlooking the broader indirect losses that ripple through supply chains. Here, we combine disaster data with attribution studies and employ a global multi-regional input‒output model to assess both direct and indirect economic losses from droughts, floods, and storms attributable to anthropogenic climate change between 2009 and 2019. Our findings reveal that such extreme events cause 60.32 billion USD in direct economic losses and 65.07 billion USD in indirect economic losses annually—together accounting for about 46% of total losses from all extreme events. Climate adaptation investments are urgently needed in sectors such as manufacturing, agriculture, construction, transportation, and finance, with vulnerable regions concentrated in parts of Asia. International trade and industry linkages amplify the domestic impact of international extreme events, with 17% of China's attributable losses stemming from disasters abroad. This suggests that overseas adaptation could yield domestic resilience benefits. This study underscores the interconnected nature of global economic resilience against climate change and supports the design of equitable, science-based international climate finance mechanisms.</div></div>","PeriodicalId":48628,"journal":{"name":"Advances in Climate Change Research","volume":"16 4","pages":"Pages 674-687"},"PeriodicalIF":5.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revealing the dual impacts of climate change and grazing on vegetation in Mongolia: Permafrost buffering and the paradox of greening","authors":"Yun Ela ,&nbsp;Tong-Hua Wu ,&nbsp;Hasi Bagan ,&nbsp;Xiao-Fan Zhu ,&nbsp;Xiao-Dong Wu ,&nbsp;Pei-Qing Lou ,&nbsp;Dong Wang ,&nbsp;Saruulzaya Adiya ,&nbsp;Dashtseren Avirmed ,&nbsp;Battogtokh Dorjgotov ,&nbsp;Urtnasan Mandakh ,&nbsp;Sainbuyan Bayarsaikhan","doi":"10.1016/j.accre.2025.05.005","DOIUrl":"10.1016/j.accre.2025.05.005","url":null,"abstract":"<div><div>Mongolia's ecosystem is highly vulnerable to both climate change and overgrazing, which threaten its ecological stability and livestock husbandry. However, the lack of high-quality data has prevented a thorough investigation into how climate variability and grazing activities jointly affect vegetation growth. Here, we applied long-term satellite time series data, <em>in situ</em> observations, national statistics, and reanalysis data to investigate the annual variations in the spatiotemporal patterns and drivers of vegetation growth from 2000 to 2018 in Mongolia. The relative contributions were qualified to understand how climatic variables (precipitation, air temperature, solar radiation, and wind speed) and livestock density affect vegetation growth via the normalized difference vegetation index (NDVI) as a proxy. Our findings revealed that i) the NDVI exhibited a statistically significant increasing trend of 0.0023 per year (<em>p</em> &lt; 0.05) during the peak growing month of July; ii) the dominant factors controlling vegetation growth included precipitation (53.1%), air temperature (33.9%), solar radiance (4.4%), wind speed (4.6%) and livestock density (4.0%); iii) accounting for the memory effects of vegetation improved the explanatory power of vegetation growth variations; iv) precipitation and air temperature at the onset of the spring growing season were critical for the annually peak vegetation growth; v) permafrost reduced vegetation sensitivity to variations in precipitation and air temperature, thereby extending the duration of vegetation memory; and vi) NDVI greening or apparent stability masked the actual degradation of rangelands. This study not only enhances our understanding of vegetation changes in response to environmental and anthropogenic drivers but also provides a scientific basis for adaptive management strategies in Mongolia.</div></div>","PeriodicalId":48628,"journal":{"name":"Advances in Climate Change Research","volume":"16 4","pages":"Pages 830-845"},"PeriodicalIF":5.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectively lowering climate risk with innovation in adaptation technology","authors":"Yin-Long Xu,&nbsp;Fei Teng,&nbsp;Wen-Jia Cai","doi":"10.1016/j.accre.2025.07.002","DOIUrl":"10.1016/j.accre.2025.07.002","url":null,"abstract":"","PeriodicalId":48628,"journal":{"name":"Advances in Climate Change Research","volume":"16 4","pages":"Pages 663-665"},"PeriodicalIF":5.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of climate change on wind and solar photovoltaic power potential and distribution in China","authors":"Xiang-Rong Zhu,&nbsp;Jun-Hao Tian,&nbsp;Yu Wang","doi":"10.1016/j.accre.2025.04.015","DOIUrl":"10.1016/j.accre.2025.04.015","url":null,"abstract":"<div><div>The cleanliness and sustainability of renewable energy resources, primarily wind and solar, position them as key technological choices in the global transformation to low-carbon development. However, as the share of RE in the power system continues to grow, research on the impacts of climate change on renewable energy is garnering attention. This study investigates the effects of climate change on the potential and distribution of wind and solar photovoltaic (PV) power in China, focusing on the implications for renewable energy adequacy, cost, and future trends. The results indicate that climate change has a slightly negative effect on China’s overall wind and solar energy potential nationwide, ranging from −2.8% to −0.5%. However, there is variation among provinces, ranging from −14.0% to 14.6%. Additionally, the impact of climate change on wind and solar resources varies spatially, an increase is observed in southern regions, while a decrease occurs in northern areas. The findings suggest that changes such as wind speed and solar radiation caused by climate change may diminish the potential for low-cost renewable energy power generation while augmenting the potential for high-cost power generation, which may result in higher overall power generation costs in China than previously anticipated. By considering the impacts of climate change, this study offers actionable insights for policymakers to enhance the deployment of renewable energy projects in the south provinces, for northern provinces, policy makers may exercise greater caution when planning wind and solar projects, taking into account not only current economic viability but also the potential for future cost fluctuations attributable to climate change.</div></div>","PeriodicalId":48628,"journal":{"name":"Advances in Climate Change Research","volume":"16 4","pages":"Pages 730-746"},"PeriodicalIF":5.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate impacts on the supply–demand balance of China’s wind–solar energy system based on power grid transmission during the summer peak-load period","authors":"Zi-Jian Zhao ,&nbsp;Xing Chen ,&nbsp;Zhi-Yuan Ma ,&nbsp;Fang Yang ,&nbsp;Hao-Nan Zhang","doi":"10.1016/j.accre.2025.07.008","DOIUrl":"10.1016/j.accre.2025.07.008","url":null,"abstract":"<div><div>As China transitions towards a greener energy mix, especially using wind and solar energy, the reliability and stability of its renewable energy system, heavily reliant on grid transmission, face substantial challenges posed by climate variability. During summer peak-load periods, high temperatures exacerbate strain on electricity supply–demand dynamics. This study defines a power supply and demand gap (PSDG) index and investigates the intricate relationship between climate change and the supply‒demand balance of China’s renewable energy system, focusing specifically on the role of power grid transmission. Results show that electric power transmission can effectively mitigate climate-related risk, reducing it by an average of 5.3%. However, climate change poses a substantial threat to future energy supply‒demand balance, with meteorological variations potentially intensifying the frequency and severity of extreme operating conditions. Sensitivity analysis results indicate that supply-side and demand-side aspects account for 55% and 45% of the total PSDG index variation, respectively. We propose that energy planners in regions such as Hebei and Inner Mongolia, where climate change adversely impacts the PSDG index, should adapt their strategies to accommodate the consequences of climate change on wind–solar energy systems. This adaptation necessitates a comprehensive understanding of how varying climatic conditions affect the performance and reliability of renewable energy sources, thereby enabling the development of resilient and sustainable energy infrastructures.</div></div>","PeriodicalId":48628,"journal":{"name":"Advances in Climate Change Research","volume":"16 4","pages":"Pages 718-729"},"PeriodicalIF":5.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying practical adaptations to health risks from extreme weather events for multi-actors","authors":"Meng-Zhen Zhao ,&nbsp;Chi Zhang ,&nbsp;Wen-Jia Cai ,&nbsp;Zhen-Pin Zhao ,&nbsp;Bo Lu ,&nbsp;Tian-Tian Li ,&nbsp;Cong-Kai Hong ,&nbsp;Wei-Yi Liao ,&nbsp;Jifei Chen ,&nbsp;Shang-Chen Zhang ,&nbsp;Jin-Jie Sun ,&nbsp;Jing Shang","doi":"10.1016/j.accre.2025.01.010","DOIUrl":"10.1016/j.accre.2025.01.010","url":null,"abstract":"<div><div>To address escalating health risk posed by extreme weather due to climate change, it’s particularly important to identify tailored adaptation measures for various actors, enabling them to respond quickly and effectively. However, there remains a lack of clarity on the specific and comprehensive actions each actor should take. This study first establishes an adaptation action framework to delineate a pathway for implementing adaptation measures, encompassing integrated monitoring, risk assessment, risk warning, policy response, effectiveness evaluation, and capacity building. Within this framework, the study identifies practical adaptation action lists tailored to various actors---governments, healthcare facilities, communities, and individuals. These actions include establishing multisectoral coordination mechanisms, conducting health risk assessments, promoting telemedicine, utilizing wearable health devices, and more. Furthermore, this study reviews the progress of adaptations to health risks associated with climate change, revealing that national and regional adaptation plans are increasingly being implemented, early warning systems are becoming more precise and informative, and adaptation knowledge-sharing initiatives are continuously evolving and innovating. However, three significant challenges persist in areas such as intersectoral collaboration, awareness gaps, and insufficient financing. Overall, this study provides a clear path for actors to develop and implementing comprehensive strategies to mitigate the health risks posed by climate change.</div></div>","PeriodicalId":48628,"journal":{"name":"Advances in Climate Change Research","volume":"16 4","pages":"Pages 698-707"},"PeriodicalIF":5.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bidirectional allocation method of provincial carbon emission allowances under China's 2030 carbon peak target: From equity and efficiency perspective","authors":"Fan Yang ,&nbsp;Xiu Yang ,&nbsp;Xiao-Feng Li","doi":"10.1016/j.accre.2025.04.018","DOIUrl":"10.1016/j.accre.2025.04.018","url":null,"abstract":"<div><div>To address the shortcomings of existing research on provincial carbon emission allowance (CEA) allocation regarding connecting the current situation with future trends, balancing provincial development demands with responsibilities, as well as reconciling equity and efficiency, this study proposed a bidirectional CEA allocation method to guide China's 2030 carbon peak goal. Drawing on province-specific characteristics and multiple guiding principles, we designed 961 allocation schemes. An integrated evaluation system combining equity (via the extended Gini coefficient) and efficiency (via the Malmquist index) yielded 18 Pareto-optimal solutions. These schemes achieve a trade-off between equity (Gini coefficient 0.29–0.33) and efficiency (Malmquist index 1.010–1.015). The optimal schemes account for provincial heterogeneity: advanced regions such as Beijing, Shanghai, and Guangdong would reduce emissions below their 2020 levels under ten of the eighteen schemes, whereas regions such as Tianjin, Shanxi, and Shaanxi would still have room for emission growth across all schemes. By offering a suite of trade-off solutions, our approach equips policymakers with the flexibility to prioritize equity or efficiency according to regional needs. Additionally, tailored policy recommendations are outlined for advancing carbon dual-control mechanisms and crafting support measures reflecting provincial characteristics.</div></div>","PeriodicalId":48628,"journal":{"name":"Advances in Climate Change Research","volume":"16 4","pages":"Pages 871-884"},"PeriodicalIF":5.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying the impact of infrastructure-based urban adaptation strategies on summer air temperature and heat exposure risk in Chinese cities","authors":"Jing Shang ,&nbsp;Lin Pei ,&nbsp;Deliang Chen ,&nbsp;Shi-Guang Miao ,&nbsp;Yi-Zhou Zhang ,&nbsp;Xi-Ya Zhang ,&nbsp;Wen-Jia Cai","doi":"10.1016/j.accre.2025.03.005","DOIUrl":"10.1016/j.accre.2025.03.005","url":null,"abstract":"<div><div>Infrastructure-based heat reduction strategies, such as using cool building materials (high albedo) and street greenery, can be effective methods for cooling cities. However, the effectiveness of different measures on near-surface air temperature and population heat exposure in cities remains unclear. This study used the Weather Research and Forecasting model coupled with the single-layer urban canopy model and conducted one control and four urban adaptation strategy simulations (cool roof, green roof, urban tree and full adaptation) with a convection-permitting scale of 3 km in eastern China during the warm season of 2022. Our findings reveal that these strategies notably decreased 2 m air temperature, with averaged cooling effects of daily air temperature in 37 cities reaching −0.4 °C (cool roof), −0.3 °C (green roof), −0.2 °C (urban tree) and −0.6 °C (full adaptation). The cooling effects in cities illustrated notable regional characteristics; that is, they were stronger in Central China, East China, South China and North China but weaker in Southwest, Northwest and Northeast. Based on the results of multiple linear regression, we attributed the dominant climate factor of each measure: Bowen ratio for cool roof and urban tree and full adaptation and downward shortwave flux for green roof. In addition, urban adaptation strategies greatly reduced extreme heat hours in 37 cities, with averages of 67 (cool roof), 47 (green roof), 22 (urban tree) and 88 h (full adaptation). Furthermore, urban adaptation strategies substantially reduced population heat exposure in populated cities, such as Shanghai (2.48 billion person-h), Guangzhou (1.48 billion person-h), Beijing (1.26 billion person-h) and Shenzhen (1.17 billion person-h). In summary, urban cooling measures can notably decrease air temperature and reduce heat exposure risk during the warm season in cities but vary in their effectiveness in various cities, which highlights the need for region-specific approaches for adaptation to climate change.</div></div>","PeriodicalId":48628,"journal":{"name":"Advances in Climate Change Research","volume":"16 4","pages":"Pages 708-717"},"PeriodicalIF":5.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multispecies conservation corridors in China: For climate change adaptation","authors":"Pan Wang ,&nbsp;Shu-Lin Yu ,&nbsp;Ren-Qiang Li ,&nbsp;Zeng-Ming Song ,&nbsp;Jia-Quan Duan ,&nbsp;Zhen Xu ,&nbsp;Le-Hua Ning ,&nbsp;Jiang-Chao Liu","doi":"10.1016/j.accre.2025.07.009","DOIUrl":"10.1016/j.accre.2025.07.009","url":null,"abstract":"<div><div>The development of climate-adaptive migration corridors has emerged as a key strategy for biodiversity conservation. However, most existing studies focus on the migration patterns and adaptability of a few species and barely pay attention to the design of migration corridors that address multispecies needs at a national scale under climate change. In this study, we analysed 1023 nationally protected wildlife species in China to predict their potential distributions under current climatic conditions and the SSP2-4.5 scenario using the maximum entropy model. The projections were used as a base to conduct hotspot analysis to identify areas with declining, stable or increasing habitat selection rates (HSRs), which were designated as ecological sources. These areas correspond to regions likely to experience species emigration, retention or immigration. Using circuit theory and the minimum cumulative resistance model, we employed the Linkage Mapper tool to construct climate-resilient conservation corridors and identify critical ecological nodes. We identified 49 ecological sources, including 19 ecological sources with declining HSRs, 13 ecological sources with stable HSRs and 17 ecological sources with increasing HSRs. These HSRs collectively covered over 90% of the studied species and demonstrated a strong conservation representativeness. We also mapped 108 migration corridors, including 49 supporting species movement from areas with declining HSRs and 59 enhancing connectivity and species exchange. In addition, we identified 978 ecological pinch points and 203 barrier points, which are critical priorities for future corridor planning. A novel framework for the design of multispecies conservation corridors that support climate change adaptation, which contributes to China's efforts to achieve the Kunming–Montreal Biodiversity Framework targets and improve ecosystem connectivity.</div></div>","PeriodicalId":48628,"journal":{"name":"Advances in Climate Change Research","volume":"16 4","pages":"Pages 762-774"},"PeriodicalIF":5.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}