Pub Date : 2024-09-03DOI: 10.1088/1748-9326/ad677e
Andreas Kellerer-Pirklbauer, Xavier Bodin, Reynald Delaloye, Christophe Lambiel, Isabelle Gärtner-Roer, Mylène Bonnefoy-Demongeot, Luca Carturan, Bodo Damm, Julia Eulenstein, Andrea Fischer, Lea Hartl, Atsushi Ikeda, Viktor Kaufmann, Karl Krainer, Norikazu Matsuoka, Umberto Morra Di Cella, Jeannette Noetzli, Roberto Seppi, Cristian Scapozza, Philippe Schoeneich, Martin Stocker-Waldhuber, Emmanuel Thibert, Matteo Zumiani
This is a correction for Kellerer-Pirklbauer et al (2024 Environ. Res. Lett.19 034022).
这是对 Kellerer-Pirklbauer 等人 (2024 Environ. Res. Lett. 19 034022) 的更正。
{"title":"Corrigendum: Acceleration and interannual variability of creep rates in mountain permafrost landforms (rock glacier velocities) in the European Alps in 1995–2022 (2024 Environ. Res. Lett. 19 034022)","authors":"Andreas Kellerer-Pirklbauer, Xavier Bodin, Reynald Delaloye, Christophe Lambiel, Isabelle Gärtner-Roer, Mylène Bonnefoy-Demongeot, Luca Carturan, Bodo Damm, Julia Eulenstein, Andrea Fischer, Lea Hartl, Atsushi Ikeda, Viktor Kaufmann, Karl Krainer, Norikazu Matsuoka, Umberto Morra Di Cella, Jeannette Noetzli, Roberto Seppi, Cristian Scapozza, Philippe Schoeneich, Martin Stocker-Waldhuber, Emmanuel Thibert, Matteo Zumiani","doi":"10.1088/1748-9326/ad677e","DOIUrl":"https://doi.org/10.1088/1748-9326/ad677e","url":null,"abstract":"This is a correction for Kellerer-Pirklbauer <italic toggle=\"yes\">et al</italic> (2024 <italic toggle=\"yes\">Environ. Res. Lett.</italic> <bold>19</bold> 034022).","PeriodicalId":11747,"journal":{"name":"Environmental Research Letters","volume":"2 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-09-03DOI: 10.1088/1748-9326/ad6fb6
Mohammed Basheer, Nadir Ahmed Elagib
Armed conflict has many adverse impacts beyond violence such as increasing risks of natural hazards. Analyses of the interactions between flood risks and armed conflict are essential for developing effective policies and strategies to address both challenges. This study aims to develop conceptual and analytical socio-hydrological frameworks for assessing how armed conflict can impact flood risks. The frameworks postulate a link between armed conflict and flood vulnerability, given that armed conflict creates unique challenges that exacerbate the effects of floods. Our conceptual framework identifies routes through which armed conflict affects vulnerability to floods, such as damage to infrastructure, population displacement and density, weak governance, and less awareness, resulting in lower resilience, higher susceptibility, and increased flood vulnerability and risk. Our analytical framework uses flood modeling to evaluate flood hazards and incorporates spatial data related to armed conflict zones, nighttime light, population classification by age, land price, land cover, and rural/urban areas classification. We take Khartoum, the capital city of Sudan, as a case study in view of its armed conflict that erupted in 2023. By highlighting the linkages between armed conflict and flood risk, this study contributes to conceptualizing the broader interlinkages between conflict and environmental systems. The study emphasizes the importance of integrating conflict analysis with disaster risk management strategies. We encourage collaboration between humanitarian, environmental, and security sectors to improve preparedness, response, and resilience in conflict-affected regions. While our analysis for Khartoum is based on conflict zones in the early stages of the conflict and uses simple estimates for conflict vulnerability contribution, the proposed frameworks provide groundwork for assessing changes in flood risk in Sudan and other conflict regions around the world.
{"title":"Armed conflict as a catalyst for increasing flood risk","authors":"Mohammed Basheer, Nadir Ahmed Elagib","doi":"10.1088/1748-9326/ad6fb6","DOIUrl":"https://doi.org/10.1088/1748-9326/ad6fb6","url":null,"abstract":"Armed conflict has many adverse impacts beyond violence such as increasing risks of natural hazards. Analyses of the interactions between flood risks and armed conflict are essential for developing effective policies and strategies to address both challenges. This study aims to develop conceptual and analytical socio-hydrological frameworks for assessing how armed conflict can impact flood risks. The frameworks postulate a link between armed conflict and flood vulnerability, given that armed conflict creates unique challenges that exacerbate the effects of floods. Our conceptual framework identifies routes through which armed conflict affects vulnerability to floods, such as damage to infrastructure, population displacement and density, weak governance, and less awareness, resulting in lower resilience, higher susceptibility, and increased flood vulnerability and risk. Our analytical framework uses flood modeling to evaluate flood hazards and incorporates spatial data related to armed conflict zones, nighttime light, population classification by age, land price, land cover, and rural/urban areas classification. We take Khartoum, the capital city of Sudan, as a case study in view of its armed conflict that erupted in 2023. By highlighting the linkages between armed conflict and flood risk, this study contributes to conceptualizing the broader interlinkages between conflict and environmental systems. The study emphasizes the importance of integrating conflict analysis with disaster risk management strategies. We encourage collaboration between humanitarian, environmental, and security sectors to improve preparedness, response, and resilience in conflict-affected regions. While our analysis for Khartoum is based on conflict zones in the early stages of the conflict and uses simple estimates for conflict vulnerability contribution, the proposed frameworks provide groundwork for assessing changes in flood risk in Sudan and other conflict regions around the world.","PeriodicalId":11747,"journal":{"name":"Environmental Research Letters","volume":"5 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-09-03DOI: 10.1088/1748-9326/ad7042
Khristopher M Nicholas, Margaret E Bentley, Enrique Terán, Amanda L Thompson
Food environments are the interface between food systems and consumers. Although market access contributes to diet intake, consumer behavior determines food acquisition practices yet is often neglected in food environment research. Implementing sustainable food system transformations in climate-vulnerable, trade-dependent settings requires effective integration of both geographic and experienced-based measures of access. This study in the Galápagos Islands (i) develops measures for geographic and experience-based food environments (EFEs) and (ii) links diet outcomes to these food environment measures independently and when interacted. Cross-sectional household data including diet recalls come from 388 participants in the Healthy Family Study from San Cristóbal Island, Galápagos in 2018. Geocoded market inventory and price data were obtained in 2018 using the Nutritional Environment Measurement Survey for Stores (n = 60). Geographic food environments were created from market scores and distribution. EFEs were based on factor analyzed consumer behavior strategies. Diet quality was defined using the global dietary recommendations score. Adjusted linear regressions tested the relationships between diet and food environment measures and included sociodemographic covariates. Interactions between geographic and EFEs were tested. This study showed that higher prioritization of convenience when food shopping was associated with lower healthy food intake. However, the relationship between food environment measures and diet is strongly modified by consumer behavior. For convenience-prioritizing households, the nearest market proved most associated with healthy diet outcomes. For households with a food-driven purchasing strategy, the preferred market was most associated with healthy diet outcomes. These findings show that market inventory can be healthful or deleterious to diets, depending on how individuals navigate their food environments. Empirical measures of food access that neglect to consider consumer behavior may fail to capture realistic representations of food environment and diet relationships. These findings underscore the importance of tailoring food system changes to incorporate context-specific consumer behavior.
{"title":"Healthy eating in globalized food environments: market access and consumer behavior in the Galápagos Islands of Ecuador","authors":"Khristopher M Nicholas, Margaret E Bentley, Enrique Terán, Amanda L Thompson","doi":"10.1088/1748-9326/ad7042","DOIUrl":"https://doi.org/10.1088/1748-9326/ad7042","url":null,"abstract":"Food environments are the interface between food systems and consumers. Although market access contributes to diet intake, consumer behavior determines food acquisition practices yet is often neglected in food environment research. Implementing sustainable food system transformations in climate-vulnerable, trade-dependent settings requires effective integration of both geographic and experienced-based measures of access. This study in the Galápagos Islands (i) develops measures for geographic and experience-based food environments (EFEs) and (ii) links diet outcomes to these food environment measures independently and when interacted. Cross-sectional household data including diet recalls come from 388 participants in the <italic toggle=\"yes\">Healthy Family Study</italic> from San Cristóbal Island, Galápagos in 2018. Geocoded market inventory and price data were obtained in 2018 using the Nutritional Environment Measurement Survey for Stores (<italic toggle=\"yes\">n</italic> = 60). Geographic food environments were created from market scores and distribution. EFEs were based on factor analyzed consumer behavior strategies. Diet quality was defined using the global dietary recommendations score. Adjusted linear regressions tested the relationships between diet and food environment measures and included sociodemographic covariates. Interactions between geographic and EFEs were tested. This study showed that higher prioritization of convenience when food shopping was associated with lower healthy food intake. However, the relationship between food environment measures and diet is strongly modified by consumer behavior. For convenience-prioritizing households, the nearest market proved most associated with healthy diet outcomes. For households with a food-driven purchasing strategy, the preferred market was most associated with healthy diet outcomes. These findings show that market inventory can be healthful or deleterious to diets, depending on how individuals navigate their food environments. Empirical measures of food access that neglect to consider consumer behavior may fail to capture realistic representations of food environment and diet relationships. These findings underscore the importance of tailoring food system changes to incorporate context-specific consumer behavior.","PeriodicalId":11747,"journal":{"name":"Environmental Research Letters","volume":"28 10 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-09-03DOI: 10.1088/1748-9326/ad7278
Huu Duy Nguyen, Dinh Kha Dang, Quoc-Huy Nguyen, Tan Phan-Van, Quang-Thanh Bui, Alexandru-Ionut Petrisor, Son Van Nghiem
In recent decades, global rapid urbanization has exacerbated the impacts of natural hazards due to changes in Southeast Asia’s environmental, hydrological, and socio-economic conditions. Confounding non-stationary processes of climate change and global warming and their negative impacts can make hazards more complex and severe, particularly in Vietnam. Such complexity necessitates a study that can synthesize multi-dimensional natural-human factors in disaster risk assessments. This synthesis study aims to assess and monitor climate change and land-cover/land-use change impacts on flood and landslide hazards in Vietnam’s Gianh River basin. Three Deep Neural Network (DNN) and optimization algorithms, including the Adam, Tunicate Swarm Algorithm (TSA), and Dwarf Mongoose Optimization (DMOA) were used to determine the regions with the probability of the occurrence of flood and landslide and their combination. All efficiently evaluated hazard susceptibility based on a synthesis analysis encompassing 14 natural and anthropogenic conditioning factors. Of the three, the Deep Neural Network (DNN)-DMOA model performed the best for both flood and landslide susceptibility, with area-under-curve values of 0.99 and 0.97, respectively, followed by DNN-TSA (0.97 for flood, 0.92 for landslide), and DNN-Adam (0.96 for flood, 0.89 for landslide). Although the area affected by flooding is predicted to decrease, the overall trend for total hazard-prone areas increases over 2005–2050 due to the more extensive area affected by landslides. This study develop and demonstrate a robust framework to monitor multi-hazard susceptibility, taking into account the changes in climate and land-use influence the occurrence of multiple hazards. Based on the quantitative assessment, these findings can help policymakers understand and identify confounding hazard issues to develop proactive land-management approaches in effective mitigation or adaptation strategies that are spatially and temporally appropriate.
{"title":"Monitoring the effects of climate, land cover and land use changes on multi-hazards in the Gianh River watershed, Vietnam","authors":"Huu Duy Nguyen, Dinh Kha Dang, Quoc-Huy Nguyen, Tan Phan-Van, Quang-Thanh Bui, Alexandru-Ionut Petrisor, Son Van Nghiem","doi":"10.1088/1748-9326/ad7278","DOIUrl":"https://doi.org/10.1088/1748-9326/ad7278","url":null,"abstract":"In recent decades, global rapid urbanization has exacerbated the impacts of natural hazards due to changes in Southeast Asia’s environmental, hydrological, and socio-economic conditions. Confounding non-stationary processes of climate change and global warming and their negative impacts can make hazards more complex and severe, particularly in Vietnam. Such complexity necessitates a study that can synthesize multi-dimensional natural-human factors in disaster risk assessments. This synthesis study aims to assess and monitor climate change and land-cover/land-use change impacts on flood and landslide hazards in Vietnam’s Gianh River basin. Three Deep Neural Network (DNN) and optimization algorithms, including the Adam, Tunicate Swarm Algorithm (TSA), and Dwarf Mongoose Optimization (DMOA) were used to determine the regions with the probability of the occurrence of flood and landslide and their combination. All efficiently evaluated hazard susceptibility based on a synthesis analysis encompassing 14 natural and anthropogenic conditioning factors. Of the three, the Deep Neural Network (DNN)-DMOA model performed the best for both flood and landslide susceptibility, with area-under-curve values of 0.99 and 0.97, respectively, followed by DNN-TSA (0.97 for flood, 0.92 for landslide), and DNN-Adam (0.96 for flood, 0.89 for landslide). Although the area affected by flooding is predicted to decrease, the overall trend for total hazard-prone areas increases over 2005–2050 due to the more extensive area affected by landslides. This study develop and demonstrate a robust framework to monitor multi-hazard susceptibility, taking into account the changes in climate and land-use influence the occurrence of multiple hazards. Based on the quantitative assessment, these findings can help policymakers understand and identify confounding hazard issues to develop proactive land-management approaches in effective mitigation or adaptation strategies that are spatially and temporally appropriate.","PeriodicalId":11747,"journal":{"name":"Environmental Research Letters","volume":"71 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-09-03DOI: 10.1088/1748-9326/ad7306
Irfan Khan Surattee, Aung Kyaw Naing, Shivani Agarwal, Maung Maung Than, Edward L Webb
Contemporary evaluations of outcomes in human-managed systems have been constrained by a lack of counterfactual analysis. Community forestry (CF), a widely adopted strategy to achieve both conservation and management in coupled human-environment systems, is no exception, and counterfactual analysis would greatly enhance CF research. We used a mixed method approach incorporating quantification of deforestation and forest regrowth rates, synthetic control analysis, and focus groups discussions to evaluate mangrove CF outcomes in the Ayeyarwady Delta, Myanmar, from to 1990–2021. CF resulted in an overall increase in net forest gain and reduction in net forest loss across sites. More than two-thirds of CF sites had superior outcomes relative to synthetic controls for at least one metric (deforestation or forest regrowth); however, CF tended to perform better for only one outcome while avoiding underperformance in the other. The annual rate of forest regrowth in CFs accelerated beginning three years prior to certification and peaked two years after certification, likely related to pre-certification engagement with the Forest Department or non-government organizations. Moreover, control sites near CFs experienced more rapid forest regrowth than controls further from CFs, suggesting spillover effects. The predominant challenge facing successful CF management was illegal extraction and overharvesting, and poor performing CFs experienced a complex array of challenges facing forest regrowth, likely related to the private nature of individual land claims within the CFs. Most supporting factors for CF were related to community management capacity, strongly indicating a need for extended close engagement with competent government and non-government actors to develop long-term management and governance capacities, which are sustainably funded. Our mixed-method approach can be replicated in other human-managed systems to evaluate the biophysical impacts of policies and gain insights into the underlying drivers of outcomes.
{"title":"Evaluating mangrove community forestry outcomes: a mixed synthetic control and field-based approach","authors":"Irfan Khan Surattee, Aung Kyaw Naing, Shivani Agarwal, Maung Maung Than, Edward L Webb","doi":"10.1088/1748-9326/ad7306","DOIUrl":"https://doi.org/10.1088/1748-9326/ad7306","url":null,"abstract":"Contemporary evaluations of outcomes in human-managed systems have been constrained by a lack of counterfactual analysis. Community forestry (CF), a widely adopted strategy to achieve both conservation and management in coupled human-environment systems, is no exception, and counterfactual analysis would greatly enhance CF research. We used a mixed method approach incorporating quantification of deforestation and forest regrowth rates, synthetic control analysis, and focus groups discussions to evaluate mangrove CF outcomes in the Ayeyarwady Delta, Myanmar, from to 1990–2021. CF resulted in an overall increase in net forest gain and reduction in net forest loss across sites. More than two-thirds of CF sites had superior outcomes relative to synthetic controls for at least one metric (deforestation or forest regrowth); however, CF tended to perform better for only one outcome while avoiding underperformance in the other. The annual rate of forest regrowth in CFs accelerated beginning three years prior to certification and peaked two years after certification, likely related to pre-certification engagement with the Forest Department or non-government organizations. Moreover, control sites near CFs experienced more rapid forest regrowth than controls further from CFs, suggesting spillover effects. The predominant challenge facing successful CF management was illegal extraction and overharvesting, and poor performing CFs experienced a complex array of challenges facing forest regrowth, likely related to the private nature of individual land claims within the CFs. Most supporting factors for CF were related to community management capacity, strongly indicating a need for extended close engagement with competent government and non-government actors to develop long-term management and governance capacities, which are sustainably funded. Our mixed-method approach can be replicated in other human-managed systems to evaluate the biophysical impacts of policies and gain insights into the underlying drivers of outcomes.","PeriodicalId":11747,"journal":{"name":"Environmental Research Letters","volume":"39 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-09-03DOI: 10.1088/1748-9326/ad715b
Shasha Xu, Silu Zhang, Yujie Pan, Xiaorui Liu, Emily Welsch, Xiaotian Ma, Chaoyi Guo, Hancheng Dai
Quantifying regional health disparities linked to air pollution is essential for enhancing air quality and attaining carbon neutrality objectives. Nonetheless, the efficacy of proactive policies in ensuring equitable health protection in China’s Eastern Coastal Area (ECA) remains uncertain. Here, we employed an integrated assessment model to assess the combined reduction of carbon dioxide (CO2) and atmospheric pollutants and their health repercussions in the ECA of China. Our findings reveal that 273 000 premature deaths are attributable to air pollution in 2060 in the ECA in the absence of mitigation policies. Conversely, carbon reduction policies are poised to curtail 80% of CO2 emissions, alongside reductions of 76% for NOx, 79% for SO2, 80% for PM2.5, 72% for VOCs, and 66% for NH3 emissions. Air pollution control policies could mitigate premature deaths by 19 600, while carbon reduction policies could potentially lower them by 50 800. The health inequality coefficient among provinces stands at 0.19, primarily attributable to significantly higher mortality rates in Hebei and Shandong. These findings yield valuable insights for crafting synergistic abatement strategies in similarly imbalanced developmental regions grappling with comparable environmental challenges.
{"title":"Health equity and synergistic abatement strategies of carbon dioxide and air pollutant emissions reduction in China’s eastern coastal area","authors":"Shasha Xu, Silu Zhang, Yujie Pan, Xiaorui Liu, Emily Welsch, Xiaotian Ma, Chaoyi Guo, Hancheng Dai","doi":"10.1088/1748-9326/ad715b","DOIUrl":"https://doi.org/10.1088/1748-9326/ad715b","url":null,"abstract":"Quantifying regional health disparities linked to air pollution is essential for enhancing air quality and attaining carbon neutrality objectives. Nonetheless, the efficacy of proactive policies in ensuring equitable health protection in China’s Eastern Coastal Area (ECA) remains uncertain. Here, we employed an integrated assessment model to assess the combined reduction of carbon dioxide (CO<sub>2</sub>) and atmospheric pollutants and their health repercussions in the ECA of China. Our findings reveal that 273 000 premature deaths are attributable to air pollution in 2060 in the ECA in the absence of mitigation policies. Conversely, carbon reduction policies are poised to curtail 80% of CO<sub>2</sub> emissions, alongside reductions of 76% for NO<sub>x</sub>, 79% for SO<sub>2</sub>, 80% for PM<sub>2.5</sub>, 72% for VOCs, and 66% for NH<sub>3</sub> emissions. Air pollution control policies could mitigate premature deaths by 19 600, while carbon reduction policies could potentially lower them by 50 800. The health inequality coefficient among provinces stands at 0.19, primarily attributable to significantly higher mortality rates in Hebei and Shandong. These findings yield valuable insights for crafting synergistic abatement strategies in similarly imbalanced developmental regions grappling with comparable environmental challenges.","PeriodicalId":11747,"journal":{"name":"Environmental Research Letters","volume":"10 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-09-02DOI: 10.1088/1748-9326/ad6888
Laura Krumm
A substantial change towards more pro-environmental behavior (PEB) is essential to reach the required reduction in greenhouse gas emissions and mitigate climate change. These behavior changes will have consequences on people’s daily lives and thus might affect their well-being. Previous research generally finds positive correlations between PEB and well-being. This meta-analysis explores whether the relationship between PEB and well-being depends on the environmental impact of the performed PEB. Overall, the paper finds a small but significant positive relation between PEB and well-being. When accounting for the environmental impact of the PEB, however, the positive relationship only remains for low-impact PEB. The meta-analysis does not provide any evidence that engaging in high-impact PEB relates to well-being. Consequently, these findings demonstrate that there is more ambiguity in the relationship between PEB and well-being than previously described in the literature and that the environmental impact of PEB matters when evaluating its relationship with well-being. These findings have important implications for policy-making trying to facilitate mitigation efforts that ultimately aim to balance the well-being of the current and future generations.
{"title":"The relationship between pro-environmental behavior, subjective well-being, and environmental impact: a meta-analysis","authors":"Laura Krumm","doi":"10.1088/1748-9326/ad6888","DOIUrl":"https://doi.org/10.1088/1748-9326/ad6888","url":null,"abstract":"A substantial change towards more pro-environmental behavior (PEB) is essential to reach the required reduction in greenhouse gas emissions and mitigate climate change. These behavior changes will have consequences on people’s daily lives and thus might affect their well-being. Previous research generally finds positive correlations between PEB and well-being. This meta-analysis explores whether the relationship between PEB and well-being depends on the environmental impact of the performed PEB. Overall, the paper finds a small but significant positive relation between PEB and well-being. When accounting for the environmental impact of the PEB, however, the positive relationship only remains for low-impact PEB. The meta-analysis does not provide any evidence that engaging in high-impact PEB relates to well-being. Consequently, these findings demonstrate that there is more ambiguity in the relationship between PEB and well-being than previously described in the literature and that the environmental impact of PEB matters when evaluating its relationship with well-being. These findings have important implications for policy-making trying to facilitate mitigation efforts that ultimately aim to balance the well-being of the current and future generations.","PeriodicalId":11747,"journal":{"name":"Environmental Research Letters","volume":"275 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-09-02DOI: 10.1088/1748-9326/ad6ea7
Ye Yuan, Anming Bao, Cun Chang, Liangliang Jiang, Guoxiong Zheng, Tao Yu, Ping Jiang
Water availability and its timing are essential for determining dryland dynamics, and grasslands in Central Asia are particularly vulnerable to water provided by precipitation. Climate change is projected to alter the seasonal distribution of precipitation patterns and increase the frequency of extreme events. Little is known about the response of grasslands to seasonal precipitation deficiency (PD), especially considering the time lag effect. Here, we evaluated the impacts of PD on grassland growth at the seasonal scale based on the normalized difference vegetation index (NDVI). Our findings showed that grassland growth during spring was mostly affected by PD in arid regions, with PD occurring during the nongrowing season and spring causing mean standardized anomalies (SAs) of −0.83 and −0.54, respectively, for the NDVI. In semiarid and subhumid regions, summer PD caused not only the largest negative response in summer (with SAs of −0.94 and −0.80 for semiarid and subhumid regions, respectively) but also in autumn (−0.80 and −0.74). PD in autumn had a less adverse effect on grassland growth. The divergent seasonal responses primarily stemmed from shifts in the dominant factors influencing grassland growth across seasons. PD reduced soil moisture in spring and summer, which in turn affected grassland growth. However, summer PD affected autumn grassland growth primarily through the carryover effect. Our results highlighted the importance of the timing of PD and suggested that precipitation in the previous season should receive more attention when considering the relationship between vegetation and precipitation at the seasonal scale.
{"title":"Divergent impacts of seasonal precipitation deficiency on grassland growth in drylands of Central Asia","authors":"Ye Yuan, Anming Bao, Cun Chang, Liangliang Jiang, Guoxiong Zheng, Tao Yu, Ping Jiang","doi":"10.1088/1748-9326/ad6ea7","DOIUrl":"https://doi.org/10.1088/1748-9326/ad6ea7","url":null,"abstract":"Water availability and its timing are essential for determining dryland dynamics, and grasslands in Central Asia are particularly vulnerable to water provided by precipitation. Climate change is projected to alter the seasonal distribution of precipitation patterns and increase the frequency of extreme events. Little is known about the response of grasslands to seasonal precipitation deficiency (PD), especially considering the time lag effect. Here, we evaluated the impacts of PD on grassland growth at the seasonal scale based on the normalized difference vegetation index (NDVI). Our findings showed that grassland growth during spring was mostly affected by PD in arid regions, with PD occurring during the nongrowing season and spring causing mean standardized anomalies (SAs) of −0.83 and −0.54, respectively, for the NDVI. In semiarid and subhumid regions, summer PD caused not only the largest negative response in summer (with SAs of −0.94 and −0.80 for semiarid and subhumid regions, respectively) but also in autumn (−0.80 and −0.74). PD in autumn had a less adverse effect on grassland growth. The divergent seasonal responses primarily stemmed from shifts in the dominant factors influencing grassland growth across seasons. PD reduced soil moisture in spring and summer, which in turn affected grassland growth. However, summer PD affected autumn grassland growth primarily through the carryover effect. Our results highlighted the importance of the timing of PD and suggested that precipitation in the previous season should receive more attention when considering the relationship between vegetation and precipitation at the seasonal scale.","PeriodicalId":11747,"journal":{"name":"Environmental Research Letters","volume":"59 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-09-02DOI: 10.1088/1748-9326/ad6ea4
Piyali Majumder, Ekta Chaudhary, Sagnik Dey
Evidence of the impacts of ambient air pollution on health in India has been expanding. However, the economic impact of air pollution has rarely been explored. Here, we examined the impact of exposure to ambient fine particulate matter (PM2.5) derived from satellite data at 1 km × 1 km resolution on the productivity of the manufacturing plants using a micro-level dataset for the period 2008–2009 and 2009–2010 across 465 districts in India. Using a system generalized methods of moments techniques, we estimated that for every 10% increase in PM2.5 exposure, labor productivity decreases by 14.8% after controlling for the confounding factors. For exposure exceeding the national ambient air quality standard of annual PM2.5 in India (40 μg m−3), the labor productivity decreases by a bigger margin (20%) for the same margin of increase in PM2.5. We found that labor productivity loss due to ambient air pollution was lower for plants using capital-intensive production techniques. The labor productivity in plants with a higher share of blue-collar workers was more sensitive to exposure to PM2.5 as opposed to plants with a higher share of supervisors or managerial staff. This suggests that plant-level managerial skill and capital-intensive production techniques (including expenditure on pollution control and abatement equipment) will be critical in mitigating air pollution-induced labor productivity loss across manufacturing plants in India.
{"title":"Exposure to ambient PM2.5 and its association with the loss of labor productivity of manufacturing plants in India","authors":"Piyali Majumder, Ekta Chaudhary, Sagnik Dey","doi":"10.1088/1748-9326/ad6ea4","DOIUrl":"https://doi.org/10.1088/1748-9326/ad6ea4","url":null,"abstract":"Evidence of the impacts of ambient air pollution on health in India has been expanding. However, the economic impact of air pollution has rarely been explored. Here, we examined the impact of exposure to ambient fine particulate matter (PM<sub>2.5</sub>) derived from satellite data at 1 km × 1 km resolution on the productivity of the manufacturing plants using a micro-level dataset for the period 2008–2009 and 2009–2010 across 465 districts in India. Using a system generalized methods of moments techniques, we estimated that for every 10% increase in PM<sub>2.5</sub> exposure, labor productivity decreases by 14.8% after controlling for the confounding factors. For exposure exceeding the national ambient air quality standard of annual PM<sub>2.5</sub> in India (40 <italic toggle=\"yes\">μ</italic>g m<sup>−3</sup>), the labor productivity decreases by a bigger margin (20%) for the same margin of increase in PM<sub>2.5</sub>. We found that labor productivity loss due to ambient air pollution was lower for plants using capital-intensive production techniques. The labor productivity in plants with a higher share of blue-collar workers was more sensitive to exposure to PM<sub>2.5</sub> as opposed to plants with a higher share of supervisors or managerial staff. This suggests that plant-level managerial skill and capital-intensive production techniques (including expenditure on pollution control and abatement equipment) will be critical in mitigating air pollution-induced labor productivity loss across manufacturing plants in India.","PeriodicalId":11747,"journal":{"name":"Environmental Research Letters","volume":"29 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2024-09-01Epub Date: 2024-08-16DOI: 10.1088/1748-9326/ad6ce9
Lauren M T Broyles, Emily L Pakhtigian, Alfonso Mejia
The importance of climate in water resources management is well recognized, but less is known about how climate affects water access at the household level. Understanding this is crucial for identifying vulnerable households, reducing health and well-being risks, and finding equitable solutions. Using difference-in-differences regression analyses and relying on temporal variation in interview timing from multiple, cross-sectional surveys, we examine the effects of monsoon riverine flooding on household water access among 34 000 households in Bangladesh in 2011 and 2014. We compare water access, a combined measure of both water source and time for collection, among households living in flood-affected and non-flood-affected districts before and after monsoon flooding events. We find that households in monsoon flood-affected districts surveyed after the flooding had between 2.27 and 4.42 times higher odds of experiencing low water access. Separating geographically, we find that while households in coastal districts have lower water access than those in non-coastal districts, monsoon flood exposure is a stronger predictor of low water access in non-coastal districts. Non-coastal districts were particularly burdened in 2014, when households affected by monsoon flooding had 4.71 times higher odds of low water access. We also find that household wealth is a consistent predictor of household water access. Overall, our results show that monsoon flooding is associated with a higher prevalence of low water access; socioeconomically vulnerable households are especially burdened.
{"title":"Estimating effects of monsoon flooding on household water access.","authors":"Lauren M T Broyles, Emily L Pakhtigian, Alfonso Mejia","doi":"10.1088/1748-9326/ad6ce9","DOIUrl":"10.1088/1748-9326/ad6ce9","url":null,"abstract":"<p><p>The importance of climate in water resources management is well recognized, but less is known about how climate affects water access at the household level. Understanding this is crucial for identifying vulnerable households, reducing health and well-being risks, and finding equitable solutions. Using difference-in-differences regression analyses and relying on temporal variation in interview timing from multiple, cross-sectional surveys, we examine the effects of monsoon riverine flooding on household water access among 34 000 households in Bangladesh in 2011 and 2014. We compare water access, a combined measure of both water source and time for collection, among households living in flood-affected and non-flood-affected districts before and after monsoon flooding events. We find that households in monsoon flood-affected districts surveyed after the flooding had between 2.27 and 4.42 times higher odds of experiencing low water access. Separating geographically, we find that while households in coastal districts have lower water access than those in non-coastal districts, monsoon flood exposure is a stronger predictor of low water access in non-coastal districts. Non-coastal districts were particularly burdened in 2014, when households affected by monsoon flooding had 4.71 times higher odds of low water access. We also find that household wealth is a consistent predictor of household water access. Overall, our results show that monsoon flooding is associated with a higher prevalence of low water access; socioeconomically vulnerable households are especially burdened.</p>","PeriodicalId":11747,"journal":{"name":"Environmental Research Letters","volume":"19 9","pages":"094038"},"PeriodicalIF":5.8,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11327760/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141999620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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