Pub Date : 2026-01-28DOI: 10.1016/j.gloenvcha.2026.103117
Xiaoqing Xu , Feiran Hu , Ning Zou , Chumeng Yu , Yue Cao , Xueyao Sun , Zuyao Li , Jialai Meng , Jian Kang
The coupling of visual and auditory tranquility on a national scale has garnered attention worldwide. However, research on the spatial distributions in visual and audio tranquility across China and the implications of these differences for the perceptions and management of overall tranquility in scarce. Therefore, this study examined the spatial distribution of visual and auditory tranquility across China and its variations, spatial differences between visual and auditory tranquility, and the relationship between tranquility patterns and geographic zoning. This study used audio-visual geographic information system modeling and public consultations employing multi-criteria decision-making techniques to develop a comprehensive map of visual and auditory tranquility. The results revealed a correlation between tranquility, urban development, and environmental indicators. Additionally, this research established a framework to mapping tranquility, supplementing existing knowledge, and set baseline standards for future environment conservation decision making of tranquil protected lands and regional governance systems in China. The findings highlight priority and potential development areas for tranquility, providing guidance for future territorial spatial planning and regional. The research ideas, methods, and techniques are also applicable to the study of tranquil areas at the global scale.
{"title":"Mapping priority and potential tranquility areas in China using hybrid audio-visual GIS modeling for environment decision making","authors":"Xiaoqing Xu , Feiran Hu , Ning Zou , Chumeng Yu , Yue Cao , Xueyao Sun , Zuyao Li , Jialai Meng , Jian Kang","doi":"10.1016/j.gloenvcha.2026.103117","DOIUrl":"10.1016/j.gloenvcha.2026.103117","url":null,"abstract":"<div><div>The coupling of visual and auditory tranquility on a national scale has garnered attention worldwide. However, research on the spatial distributions in visual and audio tranquility across China and the implications of these differences for the perceptions and management of overall tranquility in scarce. Therefore, this study examined the spatial distribution of visual and auditory tranquility across China and its variations, spatial differences between visual and auditory tranquility, and the relationship between tranquility patterns and geographic zoning. This study used audio-visual geographic information system modeling and public consultations employing multi-criteria decision-making techniques to develop a comprehensive map of visual and auditory tranquility. The results revealed a correlation between tranquility, urban development, and environmental indicators. Additionally, this research established a framework to mapping tranquility, supplementing existing knowledge, and set baseline standards for future environment conservation decision making of tranquil protected lands and regional governance systems in China. The findings highlight priority and potential development areas for tranquility, providing guidance for future territorial spatial planning and regional. The research ideas, methods, and techniques are also applicable to the study of tranquil areas at the global scale.</div></div>","PeriodicalId":328,"journal":{"name":"Global Environmental Change","volume":"97 ","pages":"Article 103117"},"PeriodicalIF":9.1,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146075521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-25DOI: 10.1016/j.gloenvcha.2026.103115
Edovia Dufatanye Umwali , Alain Isabwe , Naomie M. Kayitesi , Xi Chen
Ecosystem services are fundamental to sustaining life and livelihoods, yet they face increasing threats, particularly in Sub-Saharan Africa. This study investigates the temporal dynamics of key ecosystem services, carbon storage, habitat quality, and water yield, across five East African countries over the past two decades, while also exploring their drivers. Spatially explicit models were developed using the integrated Valuation of Ecosystem Services and Trade-offs (InVEST), and random forest models (70% training, 30% testing; 500 trees) to identify ecosystem service responses to a variety of drivers, including climate, proximity, soil, Land Use Land Cover Change (LUCC), socioeconomic, and topographic factors. Results revealed distinct patterns in ecosystem service dynamics: (1) Carbon storage remained relatively stable, with 90.9% of the area maintaining consistent levels in 2000–2010, slightly increasing to 91.6% in 2010–2020; (2) Habitat quality showed more variability, but trended positively, with improvements from 2000 to 2010, and over 95% of the area remaining stable in the following decade. (3) In contrast, water yield exhibited the most significant fluctuations, with 52.6% of the area experienced a decline and 43.7% an increase in 2000–2010, followed by a dramatic 89.1% increase in 2010–2020. (4) The random forest models produced robust results (R2 = 0.75–––0.96) across all three periods (2000, 2010, and 2020) for each ecosystem service. (5) Climate variables, particularly precipitation and temperature, emerged as the strongest drivers of water yield, while slope and socioeconomic factors primarily influenced carbon storage. (6) Socioeconomic factors were also most influential in shaping habitat quality. These findings offer critical insights for environmental management and policy, providing a basis for sustainable development strategies as the region works toward achieving the 2030 Sustainable Development Goals.
{"title":"Bi-decadal changes in selected ecosystem services and their integrated drivers in East Africa","authors":"Edovia Dufatanye Umwali , Alain Isabwe , Naomie M. Kayitesi , Xi Chen","doi":"10.1016/j.gloenvcha.2026.103115","DOIUrl":"10.1016/j.gloenvcha.2026.103115","url":null,"abstract":"<div><div>Ecosystem services are fundamental to sustaining life and livelihoods, yet they face increasing threats, particularly in Sub-Saharan Africa. This study investigates the temporal dynamics of key ecosystem services, carbon storage, habitat quality, and water yield, across five East African countries over the past two decades, while also exploring their drivers. Spatially explicit models were developed using the integrated Valuation of Ecosystem Services and Trade-offs (InVEST), and random forest models (70% training, 30% testing; 500 trees) to identify ecosystem service responses to a variety of drivers, including climate, proximity, soil, Land Use Land Cover Change (LUCC), socioeconomic, and topographic factors. Results revealed distinct patterns in ecosystem service dynamics: (1) Carbon storage remained relatively stable, with 90.9% of the area maintaining consistent levels in 2000–2010, slightly increasing to 91.6% in 2010–2020; (2) Habitat quality showed more variability, but trended positively, with improvements from 2000 to 2010, and over 95% of the area remaining stable in the following decade. (3) In contrast, water yield exhibited the most significant fluctuations, with 52.6% of the area experienced a decline and 43.7% an increase in 2000–2010, followed by a dramatic 89.1% increase in 2010–2020. (4) The random forest models produced robust results (R<sup>2</sup> = 0.75–––0.96) across all three periods (2000, 2010, and 2020) for each ecosystem service. (5) Climate variables, particularly precipitation and temperature, emerged as the strongest drivers of water yield, while slope and socioeconomic factors primarily influenced carbon storage. (6) Socioeconomic factors were also most influential in shaping habitat quality. These findings offer critical insights for environmental management and policy, providing a basis for sustainable development strategies as the region works toward achieving the 2030 Sustainable Development Goals.</div></div>","PeriodicalId":328,"journal":{"name":"Global Environmental Change","volume":"97 ","pages":"Article 103115"},"PeriodicalIF":9.1,"publicationDate":"2026-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-23DOI: 10.1016/j.gloenvcha.2026.103116
Wenbo Zhang , Xiaoliang Hu , Hongbo Li , Xiaolin Zhang , Changchun Huang , Zhaoyuan Yu , Shaobin Li , Zengkai Zhang , Libang Ma , Linwang Yuan
To address multiple challenges including food security, resource scarcity, and environmental degradation, China is prioritizing non-grain governance (NGG) as a key strategy, yet lacks an actionable governance framework. This paper proposes an integrated approach combining non-grain level (NGL) control (Measure 1) with crop spatial reallocation (Measure 2), thereby establishing a three-tier governance framework for non-grain conversion (NGC) at the “national-agricultural region-county levels”. Based on China’s 2020 grain production capacity, we project pathways to meet grain demand under 2030 population scenarios and evaluate the impacts of three policy scenarios on sustainable agricultural development. Simulation results for 2020–2030 show that, compared to Scenario 1 (no measure 1 & no measure 2 → a 25.56% increase in imports), Scenario 2 (no measure 1 & with measure 2 → partial imports) could fulfill up to 84% of food demand through optimized crop spatial allocation. This import reduction would save approximately 16.43% of global arable land use, 16.59% of global water consumption, 16.36% of global energy use, and 15.80% of global carbon emissions associated with trade. Scenario 3 (with measure 1 & with measure 2 → self-sufficiency) could achieve full grain self-sufficiency by constraining the non-grain level to ≤ 28% through integrated control and spatial optimization, thereby avoiding additional global resource consumption. However, this scenario would increase domestic water and energy stress and constrain farmers’ net income. For China’s nine major agricultural regions and their 2,668 counties, the management focus should shift from merely monitoring the surface-level rate of farmland conversion to non-grain uses, to a more critical assessment of its tangible impacts on grain production and environmental pollution. Accordingly, stringent protection measures are required, particularly for counties within core production areas such as the Northeast China Plain and the Huang-Huai-Hai Plain. The proposed three-tier governance system offers a scalable framework for addressing the intertwined challenges of food security, resource conservation, and global ecological responsibilities.
{"title":"Mapping China’s non-grain governance: pathways to global agricultural sustainability","authors":"Wenbo Zhang , Xiaoliang Hu , Hongbo Li , Xiaolin Zhang , Changchun Huang , Zhaoyuan Yu , Shaobin Li , Zengkai Zhang , Libang Ma , Linwang Yuan","doi":"10.1016/j.gloenvcha.2026.103116","DOIUrl":"10.1016/j.gloenvcha.2026.103116","url":null,"abstract":"<div><div>To address multiple challenges including food security, resource scarcity, and environmental degradation, China is prioritizing non-grain governance (NGG) as a key strategy, yet lacks an actionable governance framework. This paper proposes an integrated approach combining non-grain level (NGL) control (Measure 1) with crop spatial reallocation (Measure 2), thereby establishing a three-tier governance framework for non-grain conversion (NGC) at the “national-agricultural region-county levels”. Based on China’s 2020 grain production capacity, we project pathways to meet grain demand under 2030 population scenarios and evaluate the impacts of three policy scenarios on sustainable agricultural development. Simulation results for 2020–2030 show that, compared to Scenario 1 (no measure 1 & no measure 2 → a 25.56% increase in imports), Scenario 2 (no measure 1 & with measure 2 → partial imports) could fulfill up to 84% of food demand through optimized crop spatial allocation. This import reduction would save approximately 16.43% of global arable land use, 16.59% of global water consumption, 16.36% of global energy use, and 15.80% of global carbon emissions associated with trade. Scenario 3 (with measure 1 & with measure 2 → self-sufficiency) could achieve full grain self-sufficiency by constraining the non-grain level to ≤ 28% through integrated control and spatial optimization, thereby avoiding additional global resource consumption. However, this scenario would increase domestic water and energy stress and constrain farmers’ net income. For China’s nine major agricultural regions and their 2,668 counties, the management focus should shift from merely monitoring the surface-level rate of farmland conversion to non-grain uses, to a more critical assessment of its tangible impacts on grain production and environmental pollution. Accordingly, stringent protection measures are required, particularly for counties within core production areas such as the Northeast China Plain and the Huang-Huai-Hai Plain. The proposed three-tier governance system offers a scalable framework for addressing the intertwined challenges of food security, resource conservation, and global ecological responsibilities.</div></div>","PeriodicalId":328,"journal":{"name":"Global Environmental Change","volume":"97 ","pages":"Article 103116"},"PeriodicalIF":9.1,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Heat waves and droughts are each highly damaging to people’s incomes, but little is known of the joint impact on household welfare when these events occur simultaneously. We combine European household level survey data from 2004 to 2022 with high resolution temperature and drought data in a fixed effects econometric regression to investigate the change in household income and risk of poverty due to heat waves, droughts, and compound dry-and-hot extremes. We find that the average reduction in annual household income was 0.8 percentage points larger when heat waves coincided with a drought month, compared to when heat waves occurred alone. The compound climate impact was stronger for poorer households, with household in the poorest income quintile experiencing a reduction in average household income from the combined impacts of heatwave and drought of 2.7 percentage points larger than the households in the richest income quintile. We estimate that heat waves and droughts increased the at-risk-of-poverty (AROP) rate in Europe by 1.1 percentage points or an additional 5.6 million persons for 2004–2022 on average. Our projections indicate that limiting global warming to 1.5 °C by 2100 minimizes the negative impacts on income and limits the increase in income inequality and at-risk-of-poverty rates. Limiting warming also allows for more time to adapt to the adverse effects of heat waves and droughts. To reduce poverty by at least 15 million by 2030, the European Union has to scale up its protection of vulnerable populations through climate mitigation and adaptation.
{"title":"Compound dry-and-hot extremes exacerbate income inequality and poverty in Europe","authors":"Jessie Ruth Schleypen , Fahad Saeed , Anne Zimmer , Tilman Brück","doi":"10.1016/j.gloenvcha.2025.103106","DOIUrl":"10.1016/j.gloenvcha.2025.103106","url":null,"abstract":"<div><div>Heat waves and droughts are each highly damaging to people’s incomes, but little is known of the joint impact on household welfare when these events occur simultaneously. We combine European household level survey data from 2004 to 2022 with high resolution temperature and drought data in a fixed effects econometric regression to investigate the change in household income and risk of poverty due to heat waves, droughts, and compound dry-and-hot extremes. We find that the average reduction in annual household income was 0.8 percentage points larger when heat waves coincided with a drought month, compared to when heat waves occurred alone. The compound climate impact was stronger for poorer households, with household in the poorest income quintile experiencing a reduction in average household income from the combined impacts of heatwave and drought of 2.7 percentage points larger than the households in the richest income quintile. We estimate that heat waves and droughts increased the at-risk-of-poverty (AROP) rate in Europe by 1.1 percentage points or an additional 5.6 million persons for 2004–2022 on average. Our projections indicate that limiting global warming to 1.5 °C by 2100 minimizes the negative impacts on income and limits the increase in income inequality and at-risk-of-poverty rates. Limiting warming also allows for more time to adapt to the adverse effects of heat waves and droughts. To reduce poverty by at least 15 million by 2030, the European Union has to scale up its protection of vulnerable populations through climate mitigation and adaptation.</div></div>","PeriodicalId":328,"journal":{"name":"Global Environmental Change","volume":"97 ","pages":"Article 103106"},"PeriodicalIF":9.1,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-17DOI: 10.1016/j.gloenvcha.2025.103080
Xiang Yu , Luzhi Wang , Wentao Hu , Mudan Wang , Bei Zhu
As an energy-intensive sector, the phosphorus chemical industry’s low-carbon transition is vital for achieving global net-zero carbon emission targets under the Paris Agreement and the Sustainable Development Goals (SDGs). However, the sector’s transition is constrained bya series of systemic barriers, including uneven phosphate distribution, carbon emission disparities, incosistentcarbon accounting methodologies, high costs of technology upgrades, and the lack of targeted policy. To address these, global phosphorus production industry has been exploring low-carbon transformation pathways that promote industrial agglomeration, integrate the industrial chain, accelerate technological innovation, adopt diversified policy instruments, and strengthen enterprise-led transition initiatives. Given that the phosphorus chemical industry has exhibited a spatial agglomeration globally, industrial parks have emerged as critial platform where these synergistic mechanisms can be integrated and scaled. Consequently, industrial parks function not only as central operational nodes, but also as pivotal enablers of net-zero transitions in the global phosphorus industry.
{"title":"Low-carbon transition of phosphorus chemical industrial parks: A global systematic review","authors":"Xiang Yu , Luzhi Wang , Wentao Hu , Mudan Wang , Bei Zhu","doi":"10.1016/j.gloenvcha.2025.103080","DOIUrl":"10.1016/j.gloenvcha.2025.103080","url":null,"abstract":"<div><div>As an energy-intensive sector, the phosphorus chemical industry’s low-carbon transition is vital for achieving global net-zero carbon emission targets under the Paris Agreement and the Sustainable Development Goals (SDGs). However, the sector’s transition is constrained bya series of systemic barriers, including uneven phosphate distribution, carbon emission disparities, incosistentcarbon accounting methodologies, high costs of technology upgrades, and the lack of targeted policy. To address these, global phosphorus production industry has been exploring low-carbon transformation pathways that promote industrial agglomeration, integrate the industrial chain, accelerate technological innovation, adopt diversified policy instruments, and strengthen enterprise-led transition initiatives. Given that the phosphorus chemical industry has exhibited a spatial agglomeration globally, industrial parks have emerged as critial platform where these synergistic mechanisms can be integrated and scaled. Consequently, industrial parks function not only as central operational nodes, but also as pivotal enablers of net-zero transitions in the global phosphorus industry.</div></div>","PeriodicalId":328,"journal":{"name":"Global Environmental Change","volume":"96 ","pages":"Article 103080"},"PeriodicalIF":9.1,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Mongolian Plateau represents an integrated physical geography unit characterized by ecological gradient continuity and similarity. Under long-term divergent management regimes, the social-ecological systems (SES) of grasslands in China and Mongolia have demonstrated distinct evolutionary trajectories. Clarifying these evolutionary patterns holds significant importance for promoting innovative regional grassland management. This study employs segmented linear regression methods to identify the evolutionary processes of grassland SES in Mongolia, while conducting comparative research with the evolutionary patterns observed in Inner Mongolia, China. Key findings reveal that from 1921 to 2020, Mongolian grassland SES underwent four distinct phases: traditional nomadic pastoralism period, collectivized production period, post-transition pastoral period, and community-based grassland management period. A comparative analysis between Inner Mongolia and Mongolia reveals that, under different management frameworks, both regions have exhibited overall positive trends in their most recent stages of SES evolution. Dynamic changes in key indicators during recent stages further validate this improving trajectory of grassland SES. The process-tracing analysis reveals that the positive development in Inner Mongolia primarily stems from the implementation of ecological conservation policies, whereas Mongolia’s improvement is mainly attributable to natural ecosystem management that emphasizes community-based approaches. Although both management systems demonstrate unique advantages, they are facing increasingly uncertain environmental challenges, making cross-border grassland governance imperative. Future efforts should focus on exploring deeper institutional matching models and adaptive governance practices between both parties to establish an effective regional SES governance framework. This cross-border synergy will better address emerging environmental uncertainties while optimizing the social ecological sustainability of grasslands across the Mongolian plateau.
{"title":"Unity in diversity: The evolution of the grassland social-ecological systems in China and Mongolia","authors":"Haibin Dong , Xiangjuan Hou , Yongzhi Zhao , Qing Xu , Tariq Ali , Siqi Yang , Qing Zhang , Xiangyang Hou","doi":"10.1016/j.gloenvcha.2026.103113","DOIUrl":"10.1016/j.gloenvcha.2026.103113","url":null,"abstract":"<div><div>The Mongolian Plateau represents an integrated physical geography unit characterized by ecological gradient continuity and similarity. Under long-term divergent management regimes, the social-ecological systems (SES) of grasslands in China and Mongolia have demonstrated distinct evolutionary trajectories. Clarifying these evolutionary patterns holds significant importance for promoting innovative regional grassland management. This study employs segmented linear regression methods to identify the evolutionary processes of grassland SES in Mongolia, while conducting comparative research with the evolutionary patterns observed in Inner Mongolia, China. Key findings reveal that from 1921 to 2020, Mongolian grassland SES underwent four distinct phases: traditional nomadic pastoralism period, collectivized production period, post-transition pastoral period, and community-based grassland management period. A comparative analysis between Inner Mongolia and Mongolia reveals that, under different management frameworks, both regions have exhibited overall positive trends in their most recent stages of SES evolution. Dynamic changes in key indicators during recent stages further validate this improving trajectory of grassland SES. The process-tracing analysis reveals that the positive development in Inner Mongolia primarily stems from the implementation of ecological conservation policies, whereas Mongolia’s improvement is mainly attributable to natural ecosystem management that emphasizes community-based approaches. Although both management systems demonstrate unique advantages, they are facing increasingly uncertain environmental challenges, making cross-border grassland governance imperative. Future efforts should focus on exploring deeper institutional matching models and adaptive governance practices between both parties to establish an effective regional SES governance framework. This cross-border synergy will better address emerging environmental uncertainties while optimizing the social ecological sustainability of grasslands across the Mongolian plateau.</div></div>","PeriodicalId":328,"journal":{"name":"Global Environmental Change","volume":"96 ","pages":"Article 103113"},"PeriodicalIF":9.1,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-10DOI: 10.1016/j.gloenvcha.2026.103112
Muhammad Ramiz Murtaza , Atta Ullah , Quande Qin , Thin Thin Hlaing
Environmental sustainability can be largely determined by the interactions among technological transitions, finance structures, and security dynamics, particularly in India and Pakistan. Yet, the literature rarely examines these dimensions simultaneously within Social-Ecological Systems (SES) context. This study fills this gap by examining how clean energy adoption (CEA), financial inclusivity (FIN), and defense expenditure (DFE) affect load capacity factor (LCF)- a robust measure capturing the balance between ecological demand (ecological footprints) and supply (biocapacity). Focusing on India and Pakistan, we analyze annual data spanning from 1990 to 2022 and apply a country-specific autoregressive distributive lag (ARDL) approach to elucidate their distinctive sustainability trajectories. Our findings reveal notable differences. In India, CEA and FIN significantly enhance long-term LCF. However, DFE and economic growth (GDP) markedly weaken it, while organized violence (OGV) and governance quality (GON) show no meaningful impacts. In Pakistan, CEA, FIN, and GON deliver positive long-run boosts to LCF, whereas OGV and GDP undermine it. DFE also harms LCF, though its impact is larger in the short-term. The causality analysis further indicates that LCF granger causes FIN in both countries. India has a unidirectional causality running from CEA to LCF and there is no causality between DFE and LCF. Pakistan shows LCF-based causality towards CEA, with a feedback link from DFE to LCF. By combining the SES framework with rigorous econometric techniques, this study delivers comprehensive insights into how energy transitions, financial access, and security priorities collectively drive environmental outcomes in two highly climate-vulnerable and geopolitically tense South Asian economies.
{"title":"Guns or Green? A social-ecological systems analysis of defense expenditure, clean energy, and financial inclusivity in India and Pakistan","authors":"Muhammad Ramiz Murtaza , Atta Ullah , Quande Qin , Thin Thin Hlaing","doi":"10.1016/j.gloenvcha.2026.103112","DOIUrl":"10.1016/j.gloenvcha.2026.103112","url":null,"abstract":"<div><div>Environmental sustainability can be largely determined by the interactions among technological transitions, finance structures, and security dynamics, particularly in India and Pakistan. Yet, the literature rarely examines these dimensions simultaneously within Social-Ecological Systems (SES) context. This study fills this gap by examining how clean energy adoption (CEA), financial inclusivity (FIN), and defense expenditure (DFE) affect load capacity factor (LCF)- a robust measure capturing the balance between ecological demand (ecological footprints) and supply (biocapacity). Focusing on India and Pakistan, we analyze annual data spanning from 1990 to 2022 and apply a country-specific autoregressive distributive lag (ARDL) approach to elucidate their distinctive sustainability trajectories. Our findings reveal notable differences. In India, CEA and FIN significantly enhance long-term LCF. However, DFE and economic growth (GDP) markedly weaken it, while organized violence (OGV) and governance quality (GON) show no meaningful impacts. In Pakistan, CEA, FIN, and GON deliver positive long-run boosts to LCF, whereas OGV and GDP undermine it. DFE also harms LCF, though its impact is larger in the short-term. The causality analysis further indicates that LCF granger causes FIN in both countries. India has a unidirectional causality running from CEA to LCF and there is no causality between DFE and LCF. Pakistan shows LCF-based causality towards CEA, with a feedback link from DFE to LCF. By combining the SES framework with rigorous econometric techniques, this study delivers comprehensive insights into how energy transitions, financial access, and security priorities collectively drive environmental outcomes in two highly climate-vulnerable and geopolitically tense South Asian economies.</div></div>","PeriodicalId":328,"journal":{"name":"Global Environmental Change","volume":"96 ","pages":"Article 103112"},"PeriodicalIF":9.1,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-08DOI: 10.1016/j.gloenvcha.2025.103109
Yuting Liang , Carlos Navarrete , Jinfeng Wang
Natural disasters trigger complex social chain interactions. While scholars have largely assessed their impacts on society, much less is known about how such catastrophes contribute to the development of scientific capabilities. Here, we analyze 314,753 earthquake-related scholarly documents together with metadata on 1099 significant seismic events worldwide between 1980 and 2024 to examine how earthquakes influence the entry of new scientific capabilities into the portfolios of cities and countries. We find that major earthquakes can reconfigure research trajectories in cities near epicenters and stimulate activity across a broader range of scientific domains, irrespective of prior scientific capabilities. This diversification spans both related fields (e.g., geosciences and civil engineering) and unrelated fields (e.g., psychology and economics), particularly in the aftermath of the largest and most destructive events. The odds of entering new fields at the city level are associated with factors such as the number of people affected, historical exposure to earthquakes, and pre-existing scientific capabilities. These findings emphasize the necessity of leveraging geographic and institutional resilience to foster scientific diversification in disaster-prone regions, offering policymakers valuable insights into smart specialization strategies for risk mitigation and long-term knowledge development.
{"title":"Surging scientific capabilities in cities worldwide after significant earthquakes","authors":"Yuting Liang , Carlos Navarrete , Jinfeng Wang","doi":"10.1016/j.gloenvcha.2025.103109","DOIUrl":"10.1016/j.gloenvcha.2025.103109","url":null,"abstract":"<div><div>Natural disasters trigger complex social chain interactions. While scholars have largely assessed their impacts on society, much less is known about how such catastrophes contribute to the development of scientific capabilities. Here, we analyze 314,753 earthquake-related scholarly documents together with metadata on 1099 significant seismic events worldwide between 1980 and 2024 to examine how earthquakes influence the entry of new scientific capabilities into the portfolios of cities and countries. We find that major earthquakes can reconfigure research trajectories in cities near epicenters and stimulate activity across a broader range of scientific domains, irrespective of prior scientific capabilities. This diversification spans both related fields (e.g., geosciences and civil engineering) and unrelated fields (e.g., psychology and economics), particularly in the aftermath of the largest and most destructive events. The odds of entering new fields at the city level are associated with factors such as the number of people affected, historical exposure to earthquakes, and pre-existing scientific capabilities. These findings emphasize the necessity of leveraging geographic and institutional resilience to foster scientific diversification in disaster-prone regions, offering policymakers valuable insights into smart specialization strategies for risk mitigation and long-term knowledge development.</div></div>","PeriodicalId":328,"journal":{"name":"Global Environmental Change","volume":"96 ","pages":"Article 103109"},"PeriodicalIF":9.1,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-07DOI: 10.1016/j.gloenvcha.2025.103111
Haiyan Liu , Jianghao Wang , Zhifeng Cheng , Siqin Wang , Laurence Hawker , Jiatong Han , Phil J. Ashworth , Steve Darby , Faith Ka Shun Chan , Jian Liu , Andrew J. Tatem , Shengjie Lai
Multi-hazard early-warning systems (MHEWS) are critical for mitigating extreme weather impacts and enhancing disaster resilience. However, quantitative empirical evidence on how different types of early warnings individually and collectively trigger preventive actions and influence resilience remains limited. Here, using location-based human mobility data aggregated from over 1.1 billion mobile devices across Chinese cities, we quantified daily intracity human mobility responses to 21,126 early warning signals during 19 tropical cyclones (TCs) from 2021 to 2023. To represent disaster resilience under MHEWS protection, we developed a protected resilience index that integrates both the magnitude of mobility changes and recovery durations. We found that, compared with city-level TC warnings alone, combined multi-level, multi-hazard warnings resulted in a 52.4 % reduction in mobility during TC exposure days, thereby increasing avoided direct population exposure by around 57.1 %. Each additional warning type further shortened recovery times, collectively reducing recovery durations by at least 55.6 %, with larger effects observed for stronger TCs. Under MHEWS protection, protected resilience remained statistically similar between moderate-intensity TCs (34 kt and 50 kt) but declined significantly under severe (≥64 kt) conditions. Although absolute reductions in exposure were greater in high-frequency, coastal, and wealthier cities, relative improvements from MHEWS were more pronounced in less frequently affected, inland, and socioeconomically disadvantaged areas. Consequently, MHEWS significantly narrowed resilience disparities among cities facing equivalent hazard exposures. This study introduces a scalable, behaviour-based framework for quantifying early-warning effectiveness, highlighting the essential role of integrated multi-level and multi-hazard warnings in disaster preparedness across cities amid escalating climate risks.
{"title":"Combined benefits of multi-hazard early warnings on human mobility resilience to tropical cyclones","authors":"Haiyan Liu , Jianghao Wang , Zhifeng Cheng , Siqin Wang , Laurence Hawker , Jiatong Han , Phil J. Ashworth , Steve Darby , Faith Ka Shun Chan , Jian Liu , Andrew J. Tatem , Shengjie Lai","doi":"10.1016/j.gloenvcha.2025.103111","DOIUrl":"10.1016/j.gloenvcha.2025.103111","url":null,"abstract":"<div><div>Multi-hazard early-warning systems (MHEWS) are critical for mitigating extreme weather impacts and enhancing disaster resilience. However, quantitative empirical evidence on how different types of early warnings individually and collectively trigger preventive actions and influence resilience remains limited. Here, using location-based human mobility data aggregated from over 1.1 billion mobile devices across Chinese cities, we quantified daily intracity human mobility responses to 21,126 early warning signals during 19 tropical cyclones (TCs) from 2021 to 2023. To represent disaster resilience under MHEWS protection, we developed a protected resilience index that integrates both the magnitude of mobility changes and recovery durations. We found that, compared with city-level TC warnings alone, combined multi-level, multi-hazard warnings resulted in a 52.4 % reduction in mobility during TC exposure days, thereby increasing avoided direct population exposure by around 57.1 %. Each additional warning type further shortened recovery times, collectively reducing recovery durations by at least 55.6 %, with larger effects observed for stronger TCs. Under MHEWS protection, protected resilience remained statistically similar between moderate-intensity TCs (34 kt and 50 kt) but declined significantly under severe (≥64 kt) conditions. Although absolute reductions in exposure were greater in high-frequency, coastal, and wealthier cities, relative improvements from MHEWS were more pronounced in less frequently affected, inland, and socioeconomically disadvantaged areas. Consequently, MHEWS significantly narrowed resilience disparities among cities facing equivalent hazard exposures. This study introduces a scalable, behaviour-based framework for quantifying early-warning effectiveness, highlighting the essential role of integrated multi-level and multi-hazard warnings in disaster preparedness across cities amid escalating climate risks.</div></div>","PeriodicalId":328,"journal":{"name":"Global Environmental Change","volume":"96 ","pages":"Article 103111"},"PeriodicalIF":9.1,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-03DOI: 10.1016/j.gloenvcha.2025.103110
Stacy-ann Robinson , Mara Dolan , Emma Bouton , J. Timmons Roberts , D’Arcy Carlson
As global adaptation policy moves to operationalize the Global Goal on Adaptation (GGA), questions remain about what sustains success once external funding and oversight have ended. This article advances a relational framework for understanding how adaptation endures, arguing that success is less about technical design and short-term outputs, and more about the continuity of relationships among people, institutions, and place. Drawing on qualitative fieldwork across three rural Jamaican communities that implemented two United Nations Development Programme-supported agricultural adaptation projects, this study examines how adaptation practices have persisted more than five years after project closure. Through interviews, focus groups, and field observation, it identifies seven interlinked factors – volunteerism, local-institutional partnerships, embedded leadership, national alignment, locally tailored livelihoods, perceptions of fairness and inclusion, and long-term community enthusiasm – that have allowed adaptation to remain active and meaningful over time. The findings demonstrate that durability emerges from relational continuity, i.e. the social and institutional infrastructures that embed adaptation in everyday life. Introducing relational durability as both an analytical and policy lens, the article reframes adaptation success as a collective, co-produced process grounded in recognition, reciprocity, and care, and calls for these relational capacities to be treated as core indicators of progress under the GGA.
{"title":"Beyond projects: Relational durability and the measurement of climate adaptation success in practice","authors":"Stacy-ann Robinson , Mara Dolan , Emma Bouton , J. Timmons Roberts , D’Arcy Carlson","doi":"10.1016/j.gloenvcha.2025.103110","DOIUrl":"10.1016/j.gloenvcha.2025.103110","url":null,"abstract":"<div><div>As global adaptation policy moves to operationalize the Global Goal on Adaptation (GGA), questions remain about what sustains success once external funding and oversight have ended. This article advances a relational framework for understanding how adaptation endures, arguing that success is less about technical design and short-term outputs, and more about the continuity of relationships among people, institutions, and place. Drawing on qualitative fieldwork across three rural Jamaican communities that implemented two United Nations Development Programme-supported agricultural adaptation projects, this study examines how adaptation practices have persisted more than five years after project closure. Through interviews, focus groups, and field observation, it identifies seven interlinked factors – volunteerism, local-institutional partnerships, embedded leadership, national alignment, locally tailored livelihoods, perceptions of fairness and inclusion, and long-term community enthusiasm – that have allowed adaptation to remain active and meaningful over time. The findings demonstrate that durability emerges from relational continuity, i.e. the social and institutional infrastructures that embed adaptation in everyday life. Introducing <em>relational durability</em> as both an analytical and policy lens, the article reframes adaptation success as a collective, co-produced process grounded in recognition, reciprocity, and care, and calls for these relational capacities to be treated as core indicators of progress under the GGA.</div></div>","PeriodicalId":328,"journal":{"name":"Global Environmental Change","volume":"96 ","pages":"Article 103110"},"PeriodicalIF":9.1,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}