Pub Date : 2025-12-22DOI: 10.1016/j.envdev.2025.101416
Lindiwe Hayo , Peter Terrance Jacobs , Hideo Hasegawa
Cereal crop farming in South Africa is critical in supplying staple foods and for generating export revenue. However, intensified farming practices are tied to significant greenhouse gas (GHG) emissions, challenging national climate goals. This study employs the Environmental Kuznets Curve (EKC) hypothesis to analyze time-series data (1961–2021) and identify the cereal yield threshold where emissions begin to decline. The main goal is to find a turning point that balances food security with climate mitigation actions. Employing both parametric and nonparametric techniques, the analysis finds an inverted U-shaped link between cereal yield and emissions, with a turning point at 3.40 tonnes per hectare. The results confirm a nonlinear relationship, with linear and quadratic yield terms statistically significant at the 1 % and 5 % levels, respectively. Above the turning point, higher cereal yields correlate with lower emissions, supporting the feasibility of sustainable intensification strategies. These findings reveal a crucial emissions-reduction benchmark, linking mitigation measures with policy and supporting yield-linked carbon credit schemes to promote sustainable agriculture and lower emissions. The study advances EKC research in agriculture and offers actionable insights for integrating food security with the Nationally Determined Contributions (NDCs). This research contributes to discussions on sustainable development and climate-smart agriculture.
{"title":"Cereal yield's effect on greenhouse gas emissions in South Africa: Examining the Environmental Kuznets Curve hypothesis","authors":"Lindiwe Hayo , Peter Terrance Jacobs , Hideo Hasegawa","doi":"10.1016/j.envdev.2025.101416","DOIUrl":"10.1016/j.envdev.2025.101416","url":null,"abstract":"<div><div>Cereal crop farming in South Africa is critical in supplying staple foods and for generating export revenue. However, intensified farming practices are tied to significant greenhouse gas (GHG) emissions, challenging national climate goals. This study employs the Environmental Kuznets Curve (EKC) hypothesis to analyze time-series data (1961–2021) and identify the cereal yield threshold where emissions begin to decline. The main goal is to find a turning point that balances food security with climate mitigation actions. Employing both parametric and nonparametric techniques, the analysis finds an inverted U-shaped link between cereal yield and emissions, with a turning point at 3.40 tonnes per hectare. The results confirm a nonlinear relationship, with linear and quadratic yield terms statistically significant at the 1 % and 5 % levels, respectively. Above the turning point, higher cereal yields correlate with lower emissions, supporting the feasibility of sustainable intensification strategies. These findings reveal a crucial emissions-reduction benchmark, linking mitigation measures with policy and supporting yield-linked carbon credit schemes to promote sustainable agriculture and lower emissions. The study advances EKC research in agriculture and offers actionable insights for integrating food security with the Nationally Determined Contributions (NDCs). This research contributes to discussions on sustainable development and climate-smart agriculture.</div></div>","PeriodicalId":54269,"journal":{"name":"Environmental Development","volume":"58 ","pages":"Article 101416"},"PeriodicalIF":5.3,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840826","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 : 2025-12-20DOI: 10.1016/j.envdev.2025.101417
Devi Mariya Sulfa , Hadi Suwono , Sofia Ery Rahayu
The Human–Nature Connection (HNC) has gained increasing relevance as a psychological construct linked to environmental behavior, particularly within rapidly urbanizing societies such as Indonesia. Despite growing research interest, variations in measurement models, cultural adaptation, and behavioral relevance remain insufficiently synthesized. This study conducted a systematic review and meta-analysis of 42 eligible empirical studies published between 2010 and November 2025 to evaluate the psychometric performance, structural validity, and behavioral associations of HNC measurement instruments, with a particular emphasis on their adaptation in Indonesia. Searches were performed across Scopus, Web of Science, PubMed, PsycINFO, and regional repositories using PRISMA-based screening criteria. Reliability statistics demonstrated strong measurement stability across instruments, with Cronbach's Alpha ranging from 0.84 to 0.90 and Composite Reliability from 0.86 to 0.92. Exploratory Factor Analysis revealed a four-factor structure, explaining 57.6 % of the variance, with the affective and cognitive dimensions contributing the highest loadings. Meta-analytic modeling yielded a pooled correlation of r = 0.42 between HNC and pro-environmental behavior, with subgroup results indicating the most potent effects among children and young adults (r = 0.45–0.48) and among individuals with at least 120 min of weekly nature exposure. The findings suggest that HNC serves as both a measurable psychological construct and a meaningful behavioral predictor in educational and sustainability contexts. Overall, this review underscores the importance of culturally grounded measurement and highlights opportunities to integrate HNC into environmental education, policy design, and longitudinal intervention research, thereby strengthening ecological engagement across Indonesian society.
人与自然的联系(HNC)作为一种与环境行为相关的心理结构,尤其是在印度尼西亚等快速城市化的社会中,已经获得了越来越多的相关性。尽管研究兴趣不断增长,但测量模型、文化适应和行为相关性的变化仍然没有得到充分的综合。本研究对2010年至2025年11月发表的42项符合条件的实证研究进行了系统回顾和荟萃分析,以评估HNC测量工具的心理测量性能、结构效度和行为关联,并特别强调了它们在印度尼西亚的适应性。使用基于prisma的筛选标准,在Scopus、Web of Science、PubMed、PsycINFO和区域存储库中进行搜索。可靠性统计表明,不同仪器的测量具有很强的稳定性,Cronbach's Alpha在0.84至0.90之间,复合信度在0.86至0.92之间。探索性因子分析揭示了一个四因素结构,解释了57.6%的方差,其中情感和认知维度贡献了最高的负荷。荟萃分析模型显示,HNC与亲环境行为之间的相关性为r = 0.42,亚组结果表明,儿童和年轻人(r = 0.45-0.48)以及每周接触自然至少120分钟的个体的影响最大。研究结果表明,在教育和可持续性背景下,HNC既是一种可测量的心理结构,也是一种有意义的行为预测因子。总体而言,本综述强调了基于文化的测量的重要性,并强调了将HNC整合到环境教育、政策设计和纵向干预研究中的机会,从而加强了印度尼西亚社会的生态参与。
{"title":"Strengthening sustainability mindsets: Evidence from an analysis of the Human–Nature Connection and environmental behavior in Indonesia","authors":"Devi Mariya Sulfa , Hadi Suwono , Sofia Ery Rahayu","doi":"10.1016/j.envdev.2025.101417","DOIUrl":"10.1016/j.envdev.2025.101417","url":null,"abstract":"<div><div>The Human–Nature Connection (HNC) has gained increasing relevance as a psychological construct linked to environmental behavior, particularly within rapidly urbanizing societies such as Indonesia. Despite growing research interest, variations in measurement models, cultural adaptation, and behavioral relevance remain insufficiently synthesized. This study conducted a systematic review and meta-analysis of 42 eligible empirical studies published between 2010 and November 2025 to evaluate the psychometric performance, structural validity, and behavioral associations of HNC measurement instruments, with a particular emphasis on their adaptation in Indonesia. Searches were performed across Scopus, Web of Science, PubMed, PsycINFO, and regional repositories using PRISMA-based screening criteria. Reliability statistics demonstrated strong measurement stability across instruments, with Cronbach's Alpha ranging from 0.84 to 0.90 and Composite Reliability from 0.86 to 0.92. Exploratory Factor Analysis revealed a four-factor structure, explaining 57.6 % of the variance, with the affective and cognitive dimensions contributing the highest loadings. Meta-analytic modeling yielded a pooled correlation of r = 0.42 between HNC and pro-environmental behavior, with subgroup results indicating the most potent effects among children and young adults (r = 0.45–0.48) and among individuals with at least 120 min of weekly nature exposure. The findings suggest that HNC serves as both a measurable psychological construct and a meaningful behavioral predictor in educational and sustainability contexts. Overall, this review underscores the importance of culturally grounded measurement and highlights opportunities to integrate HNC into environmental education, policy design, and longitudinal intervention research, thereby strengthening ecological engagement across Indonesian society.</div></div>","PeriodicalId":54269,"journal":{"name":"Environmental Development","volume":"58 ","pages":"Article 101417"},"PeriodicalIF":5.3,"publicationDate":"2025-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840827","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 : 2025-12-20DOI: 10.1016/j.envdev.2025.101415
Eria Serwajja , Yeeko Kisira , F.S. Nalwanga , Priscilla Mwondha , Herman Muhindo , Charlotte Nakakaawa Jjunju
Climate change has intensified the occurrence of natural hazards, leading to widespread forced relocations across the globe. These events have significantly reshaped socio-economic and livelihood pathways in both rural and urban landscapes. This study explores the gendered impacts of climate-induced migration and how women cope with and navigate these challenges in Muhokya resettlement village, Rwenzori region of western Uganda. A cross-sectional research design comprising of a survey of 171 households, 4 focus group discussions, and 20 key informant interviews was used. Quantitative data were analyzed using frequencies and one-sample t-test, while thematic and content analysis were applied to qualitative data. The findings reveal that most women were forcibly displaced after losing their homes to floods. The consequences of displacement have been severe, including increased school dropout rates among girls, early marriages, heightened vulnerability to HIV/AIDS, engagement in transactional sex, denial of conjugal rights, and rising cases of gender-based violence. Limited access to healthcare services, particularly antenatal, sexual, and reproductive health care has further exacerbated women's vulnerability. The coping mechanisms, such as survival-based practices like “sex for fish,” have proven unsustainable and harmful. The study proposes strengthening local women-led self-help groups to enhance access to livelihood assets, integrating gender-responsive livelihood training within resettlement programs, increasing access to government livelihood initiatives, and improving healthcare and psychosocial support services. Establishing inclusive community decision-making platforms can also enhance women's agency in adaptation planning. These interventions offer practical pathways for reducing gender disparities and promoting equitable resilience in line with Sustainable Development Goals 11 and 13.
{"title":"Climate hazards, migration, gendered exploitation, and the ‘sex-for-fish’ economy in Rwenzori region: Implications for development to Uganda","authors":"Eria Serwajja , Yeeko Kisira , F.S. Nalwanga , Priscilla Mwondha , Herman Muhindo , Charlotte Nakakaawa Jjunju","doi":"10.1016/j.envdev.2025.101415","DOIUrl":"10.1016/j.envdev.2025.101415","url":null,"abstract":"<div><div>Climate change has intensified the occurrence of natural hazards, leading to widespread forced relocations across the globe. These events have significantly reshaped socio-economic and livelihood pathways in both rural and urban landscapes. This study explores the gendered impacts of climate-induced migration and how women cope with and navigate these challenges in Muhokya resettlement village, Rwenzori region of western Uganda. A cross-sectional research design comprising of a survey of 171 households, 4 focus group discussions, and 20 key informant interviews was used. Quantitative data were analyzed using frequencies and one-sample t-test, while thematic and content analysis were applied to qualitative data. The findings reveal that most women were forcibly displaced after losing their homes to floods. The consequences of displacement have been severe, including increased school dropout rates among girls, early marriages, heightened vulnerability to HIV/AIDS, engagement in transactional sex, denial of conjugal rights, and rising cases of gender-based violence. Limited access to healthcare services, particularly antenatal, sexual, and reproductive health care has further exacerbated women's vulnerability. The coping mechanisms, such as survival-based practices like “sex for fish,” have proven unsustainable and harmful. The study proposes strengthening local women-led self-help groups to enhance access to livelihood assets, integrating gender-responsive livelihood training within resettlement programs, increasing access to government livelihood initiatives, and improving healthcare and psychosocial support services. Establishing inclusive community decision-making platforms can also enhance women's agency in adaptation planning. These interventions offer practical pathways for reducing gender disparities and promoting equitable resilience in line with Sustainable Development Goals 11 and 13.</div></div>","PeriodicalId":54269,"journal":{"name":"Environmental Development","volume":"58 ","pages":"Article 101415"},"PeriodicalIF":5.3,"publicationDate":"2025-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840779","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 : 2025-12-19DOI: 10.1016/j.envdev.2025.101414
Douglas K. Bardsley , Edwin Cedamon , Naya Paudel , Ian Nuberg
Responses to risk have been insufficiently incorporated into sustainable development pathways. Development interventions can both generate new socio-ecological risks and fail to mitigate the risks experienced by rural communities. We analyse perceptions of socio-ecological risks within community forest user group households in Bagmati province in central Nepal across a three-year period. Community forestry has successfully returned the forest to the middle hills of Nepal, helping to mitigate landslide risks and conserve biodiversity, but other risks are being produced and reinforced within the forest as it transitions. Households are becoming less active in community forest management and are accessing smaller percentages of their income from agriculture and forestry. At the same time, wild animal and wildfire risks are increasing. Climate change is seen to be a key driver of a range of new risks in association with the forest. Perceived household food self-sufficiency has declined recently within all municipalities, with increasingly high levels of households going into debt to support food security. People are valuing the forest for the ecosystem services they provide, including improving biodiversity, supporting subsistence agriculture and stabilising landscapes, but most respondents were not using the forest either to mitigate food insecurity or generate financial incomes. Forests must be managed to continue to be part of the solution, not the problem. As new levels of risk become apparent, knowledge of risk perceptions and interactions with the forest need to be integrated reflexively within policy and practice to guide sustainable development outcomes.
{"title":"Sustainable development and the legacy of socio-ecological risk: the example of community forestry in Nepal","authors":"Douglas K. Bardsley , Edwin Cedamon , Naya Paudel , Ian Nuberg","doi":"10.1016/j.envdev.2025.101414","DOIUrl":"10.1016/j.envdev.2025.101414","url":null,"abstract":"<div><div>Responses to risk have been insufficiently incorporated into sustainable development pathways. Development interventions can both generate new socio-ecological risks and fail to mitigate the risks experienced by rural communities. We analyse perceptions of socio-ecological risks within community forest user group households in Bagmati province in central Nepal across a three-year period. Community forestry has successfully returned the forest to the middle hills of Nepal, helping to mitigate landslide risks and conserve biodiversity, but other risks are being produced and reinforced within the forest as it transitions. Households are becoming less active in community forest management and are accessing smaller percentages of their income from agriculture and forestry. At the same time, wild animal and wildfire risks are increasing. Climate change is seen to be a key driver of a range of new risks in association with the forest. Perceived household food self-sufficiency has declined recently within all municipalities, with increasingly high levels of households going into debt to support food security. People are valuing the forest for the ecosystem services they provide, including improving biodiversity, supporting subsistence agriculture and stabilising landscapes, but most respondents were not using the forest either to mitigate food insecurity or generate financial incomes. Forests must be managed to continue to be part of the solution, not the problem. As new levels of risk become apparent, knowledge of risk perceptions and interactions with the forest need to be integrated reflexively within policy and practice to guide sustainable development outcomes.</div></div>","PeriodicalId":54269,"journal":{"name":"Environmental Development","volume":"58 ","pages":"Article 101414"},"PeriodicalIF":5.3,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840828","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}
This study aims to evaluate the spatiotemporal impacts of climate-induced drought on crop production across the USA from 2003 to 2023, with a focus on understanding how different climatic factors influence agricultural yield in drought-prone regions. This study exclusively considered climatic factors, including precipitation, temperature, and drought severity, with no anthropogenic influences. To understand the different aspects of drought, four drought indices were selected: Standardized Precipitation Index (SPI) for short-term precipitation anomalies; Standardized Precipitation Evapotranspiration Index (SPEI) for temperature-adjusted drought; Evaporative Demand Drought Index (EDDI) for atmospheric demand; and Palmer Drought Severity Index (PDSI) for long-term drought conditions. These indices were quantified using Google Earth Engine, providing a consistent and large-scale geospatial dataset. Factors such as surface temperature and precipitation distributions were also investigated. Investigating surface temperature and precipitation helps explain their direct role in driving drought variability and crop yield changes, thereby strengthening the study's objective of assessing climate-induced impacts on agriculture. The results revealed an increase in drought-prone and wet-attributed areas along with expanded croplands (corn, cotton, soybeans, wheat, and rye) during study period. Surface temperatures have increased across the southwestern regions, while precipitation rates have increased across the eastern regions. Further, using Shapley Additive Explanations (SHAP) algorithms, the climate-induced drought impacts on crop yield were investigated more in consideration of the magnitudes of factors, which suggests that the impacts of drought and climatic factors varied in different years, while precipitation had the highest impact on crop fields in almost every phase. Furthermore, spatiotemporal trend analysis and classification of precipitation regimes were conducted using Google Earth Engine to detect shifting patterns over the past two decades. The impact of precipitation on crop yield has intensified over time, particularly in regions with declining rainfall. It also shows how the precipitation impact changed from high precipitation to low precipitation over the last 20 years using geospatial analysis. The study also characterized drought events based on their frequency, duration, intensity, and spatial extent across different U.S. regions. Findings revealed an increase in the occurrence and severity of moderate to extreme droughts, especially in the western and central parts of the country. Overall study demonstrates the significant impacts of climate-induced drought on crop production as well as food security across the USA, highlighting the need for targeted water management and adaptive agriculture practices.
{"title":"Unraveling the climate induced drought impacts on crop pattern distribution using explainable machine learning algorithms","authors":"Rhyme Rubayet Rudra , Fazla Rabbi , Niamat Ullah Ibne Hossain , Showmitra Kumar Sarkar","doi":"10.1016/j.envdev.2025.101397","DOIUrl":"10.1016/j.envdev.2025.101397","url":null,"abstract":"<div><div>This study aims to evaluate the spatiotemporal impacts of climate-induced drought on crop production across the USA from 2003 to 2023, with a focus on understanding how different climatic factors influence agricultural yield in drought-prone regions. This study exclusively considered climatic factors, including precipitation, temperature, and drought severity, with no anthropogenic influences. To understand the different aspects of drought, four drought indices were selected: Standardized Precipitation Index (SPI) for short-term precipitation anomalies; Standardized Precipitation Evapotranspiration Index (SPEI) for temperature-adjusted drought; Evaporative Demand Drought Index (EDDI) for atmospheric demand; and Palmer Drought Severity Index (PDSI) for long-term drought conditions. These indices were quantified using Google Earth Engine, providing a consistent and large-scale geospatial dataset. Factors such as surface temperature and precipitation distributions were also investigated. Investigating surface temperature and precipitation helps explain their direct role in driving drought variability and crop yield changes, thereby strengthening the study's objective of assessing climate-induced impacts on agriculture. The results revealed an increase in drought-prone and wet-attributed areas along with expanded croplands (corn, cotton, soybeans, wheat, and rye) during study period. Surface temperatures have increased across the southwestern regions, while precipitation rates have increased across the eastern regions. Further, using Shapley Additive Explanations (SHAP) algorithms, the climate-induced drought impacts on crop yield were investigated more in consideration of the magnitudes of factors, which suggests that the impacts of drought and climatic factors varied in different years, while precipitation had the highest impact on crop fields in almost every phase. Furthermore, spatiotemporal trend analysis and classification of precipitation regimes were conducted using Google Earth Engine to detect shifting patterns over the past two decades. The impact of precipitation on crop yield has intensified over time, particularly in regions with declining rainfall. It also shows how the precipitation impact changed from high precipitation to low precipitation over the last 20 years using geospatial analysis. The study also characterized drought events based on their frequency, duration, intensity, and spatial extent across different U.S. regions. Findings revealed an increase in the occurrence and severity of moderate to extreme droughts, especially in the western and central parts of the country. Overall study demonstrates the significant impacts of climate-induced drought on crop production as well as food security across the USA, highlighting the need for targeted water management and adaptive agriculture practices.</div></div>","PeriodicalId":54269,"journal":{"name":"Environmental Development","volume":"58 ","pages":"Article 101397"},"PeriodicalIF":5.3,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737766","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 : 2025-12-06DOI: 10.1016/j.envdev.2025.101409
Monalin Mishra , A. Asutosh , Boopathy Ramasamy , Rajasekhar Reddy , Vamsi G , Trupti Das
Background
Bhubaneswar, a rapidly developing smart city in eastern India, faces persistent air quality challenges primarily due to vehicular emissions, construction, and industrial activities. Conventional monitoring in the city has been limited to a few fixed stations, providing insufficient spatial coverage to represent citywide pollution variability.
Methodology
To address this gap, a dense low-cost sensor (LCS) network comprising 21 stations was deployed across Bhubaneswar's residential, traffic, and industrial zones. The network operated continuously for one year (2022–2023), and the LCS-based PM2.5 and PM10 data were validated against co-located gravimetric reference measurements and compared with MERRA-2 reanalysis datasets to assess performance and spatial representativeness.
Major findings
The LCS-based PM2.5 measurements showed strong agreement with reference gravimetric data (r ∼ 0.92), confirming the reliability of the network for long-term urban monitoring. The observed PM2.5/PM10 ratio (∼0.92) indicated a dominant contribution from fine anthropogenic particles. The network identified pollution hotspots near major highways and dense traffic corridors, where pollutant concentrations exceeded the National Ambient Air Quality Standards (NAAQS) for more than 50 % of the observation period. A notable positive weekend effect was observed across most stations, in contrast to trends reported for other Tier-II Indian cities.
Conclusions
This study provides the first high-resolution, yearlong characterization of PM pollution in Bhubaneswar using a citywide LCS network. The results highlight the potential of low-cost sensing systems for cost-effective, scalable urban air-quality surveillance and support the formulation of targeted mitigation strategies for rapidly urbanizing regions in the Global South.
{"title":"Insights from sensor-based hyperlocal air pollution measurements over Bhubaneswar, India","authors":"Monalin Mishra , A. Asutosh , Boopathy Ramasamy , Rajasekhar Reddy , Vamsi G , Trupti Das","doi":"10.1016/j.envdev.2025.101409","DOIUrl":"10.1016/j.envdev.2025.101409","url":null,"abstract":"<div><h3>Background</h3><div>Bhubaneswar, a rapidly developing smart city in eastern India, faces persistent air quality challenges primarily due to vehicular emissions, construction, and industrial activities. Conventional monitoring in the city has been limited to a few fixed stations, providing insufficient spatial coverage to represent citywide pollution variability.</div></div><div><h3>Methodology</h3><div>To address this gap, a dense low-cost sensor (LCS) network comprising 21 stations was deployed across Bhubaneswar's residential, traffic, and industrial zones. The network operated continuously for one year (2022–2023), and the LCS-based PM<sub>2.5</sub> and PM<sub>10</sub> data were validated against co-located gravimetric reference measurements and compared with MERRA-2 reanalysis datasets to assess performance and spatial representativeness.</div></div><div><h3>Major findings</h3><div>The LCS-based PM<sub>2.5</sub> measurements showed strong agreement with reference gravimetric data (r ∼ 0.92), confirming the reliability of the network for long-term urban monitoring. The observed PM<sub>2.5</sub>/PM<sub>10</sub> ratio (∼0.92) indicated a dominant contribution from fine anthropogenic particles. The network identified pollution hotspots near major highways and dense traffic corridors, where pollutant concentrations exceeded the National Ambient Air Quality Standards (NAAQS) for more than 50 % of the observation period. A notable positive weekend effect was observed across most stations, in contrast to trends reported for other Tier-II Indian cities.</div></div><div><h3>Conclusions</h3><div>This study provides the first high-resolution, yearlong characterization of PM pollution in Bhubaneswar using a citywide LCS network. The results highlight the potential of low-cost sensing systems for cost-effective, scalable urban air-quality surveillance and support the formulation of targeted mitigation strategies for rapidly urbanizing regions in the Global South.</div></div>","PeriodicalId":54269,"journal":{"name":"Environmental Development","volume":"58 ","pages":"Article 101409"},"PeriodicalIF":5.3,"publicationDate":"2025-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737767","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 : 2025-12-05DOI: 10.1016/j.envdev.2025.101408
Rani Lefler , Yoram Reich
This article addresses the management of socially sensitive environmental projects that pose significant risks to human health, society, and the environment. Such projects require a careful balance between the interests of diverse stakeholders, as well as the evaluation of complex environmental, health, and economic impacts. We propose a unique systems engineering (SE) framework that integrates both established and innovative methods to improve project management, mitigate risks, and facilitate informed decision-making.
The methodology involves an interdisciplinary analysis of two actual case studies in Israel: the removal of friable asbestos from a school in Haifa and the proposed establishment of a phosphate mine in Sde Barir, near the city of Arad. Employing the systems thinking (ST) approach, the study integrates both conceptual and technical perspectives. ST provides an overarching worldview for understanding interdependencies, feedback loops, and social dynamics, while SE contributes structured processes, analytical rigor, and lifecycle management methods.
The study integrates a tailored combination of engineering and decision-support tools – including, but not limited to, After Action Review (AAR), the Systems Theoretic Accident Model and Processes (STAMP), and Value-Oriented Requirements Analysis (VORA) – to construct a comprehensive framework for managing complex environmental risks and addressing diverse stakeholder concerns. The primary research question is: How can systems engineering frameworks and tools improve the management of socially sensitive environmental projects?
The framework evolved through two carefully selected case studies, each providing an in-depth examination of complex, socially sensitive environmental projects. These cases demonstrate the framework's potential and its capacity to be further strengthened through future applications in additional contexts. The findings indicate that integrating ST with a coordinated set of SE tools significantly improves the balance between competing objectives and enhances decision-making processes. This combined approach promotes a more holistic understanding of project dynamics, enabling better management of environmental, technical, and social dimensions within socially sensitive projects.
{"title":"Addressing environmental and societal challenges through systems thinking: Lessons from socially sensitive environmental projects","authors":"Rani Lefler , Yoram Reich","doi":"10.1016/j.envdev.2025.101408","DOIUrl":"10.1016/j.envdev.2025.101408","url":null,"abstract":"<div><div>This article addresses the management of socially sensitive environmental projects that pose significant risks to human health, society, and the environment. Such projects require a careful balance between the interests of diverse stakeholders, as well as the evaluation of complex environmental, health, and economic impacts. We propose a unique systems engineering (SE) framework that integrates both established and innovative methods to improve project management, mitigate risks, and facilitate informed decision-making.</div><div>The methodology involves an interdisciplinary analysis of two actual case studies in Israel: the removal of friable asbestos from a school in Haifa and the proposed establishment of a phosphate mine in Sde Barir, near the city of Arad. Employing the systems thinking (ST) approach, the study integrates both conceptual and technical perspectives. ST provides an overarching worldview for understanding interdependencies, feedback loops, and social dynamics, while SE contributes structured processes, analytical rigor, and lifecycle management methods.</div><div>The study integrates a tailored combination of engineering and decision-support tools – including, but not limited to, After Action Review (AAR), the Systems Theoretic Accident Model and Processes (STAMP), and Value-Oriented Requirements Analysis (VORA) – to construct a comprehensive framework for managing complex environmental risks and addressing diverse stakeholder concerns. The primary research question is: How can systems engineering frameworks and tools improve the management of socially sensitive environmental projects?</div><div>The framework evolved through two carefully selected case studies, each providing an in-depth examination of complex, socially sensitive environmental projects. These cases demonstrate the framework's potential and its capacity to be further strengthened through future applications in additional contexts. The findings indicate that integrating ST with a coordinated set of SE tools significantly improves the balance between competing objectives and enhances decision-making processes. This combined approach promotes a more holistic understanding of project dynamics, enabling better management of environmental, technical, and social dimensions within socially sensitive projects.</div></div>","PeriodicalId":54269,"journal":{"name":"Environmental Development","volume":"58 ","pages":"Article 101408"},"PeriodicalIF":5.3,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737765","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 : 2025-12-05DOI: 10.1016/j.envdev.2025.101410
Suman Dutta , Sumanta Das , Subrata Gorain , Santanu Kundu , Mahadev Bera , Malini Roy Choudhury , Subrata Bag , Dhananjay Paswan Das
The Sundarbans, the largest continuous mangrove forest on Earth and a UNESCO World Heritage Site, is under growing threat from human activity and climate change. Over the last two decades, the region has faced rising sea levels, increasing salinity, biodiversity loss, more frequent cyclones, deforestation, and poorly planned development. These issues are affecting the ecosystem and also making life harder for local communities. Although researchers have studied the area extensively, there is still a lack of a unified analysis that brings together research trends and key knowledge areas. This study aims to fill that gap by offering a systematic review followed by a bibliometric analysis of studies from 2000 to 2024. It explores how human and climate-related pressures interact and affect both the environment and people living in the Sundarbans, while also looking for ways to support long-term sustainability. Here, we followed PRISMA guidelines and used tools like VOSviewer, Bibliometrix (based on R), and content analysis to review peer-reviewed articles (n = 269), screened out from the Web of Science database. Findings indicate a growing body of work, but one that is often fragmented. Common themes included climate change, degradation of ecosystem services, vulnerability to disasters, human migration, and policy approaches. Interestingly, studies that cross disciplines or focus on community-based solutions are still relatively rare, even though they are essential for sustainable outcomes. The study, further, points to the need for stronger, more connected governance, cooperation across borders, and better use of traditional local knowledge to improve adaptability. It also stresses the importance of inclusive, grassroots planning and smart policies that protect biodiversity while also promoting fairness and equity. Overall, this paper offers an improved understanding of the complex environmental and socio-economic challenges in the Sundarbans by bringing together two decades of research. The insights can help guide local conservation efforts, as well as global conversations on climate justice, delta sustainability, and resilience in vulnerable ecosystems.
孙德尔本斯是地球上最大的连续红树林,也是联合国教科文组织的世界遗产,它正受到人类活动和气候变化日益严重的威胁。在过去的二十年里,该地区面临着海平面上升、盐度增加、生物多样性丧失、更频繁的气旋、森林砍伐和规划不周的发展。这些问题正在影响生态系统,也使当地社区的生活更加艰难。尽管研究人员对该领域进行了广泛的研究,但仍然缺乏将研究趋势和关键知识领域结合起来的统一分析。本研究旨在通过对2000年至2024年的研究进行系统回顾和文献计量分析来填补这一空白。它探讨了人类和气候相关的压力是如何相互作用并影响孙德尔本斯的环境和居民的,同时也在寻找支持长期可持续性的方法。在这里,我们遵循PRISMA的指导方针,使用VOSviewer、Bibliometrix(基于R语言)和内容分析等工具,从Web of Science数据库中筛选出同行评议的文章(n = 269)。研究结果表明,这方面的工作越来越多,但往往是零散的。共同的主题包括气候变化、生态系统服务退化、对灾害的脆弱性、人类迁移和政策方法。有趣的是,跨学科或以社区为重点的解决方案的研究仍然相对较少,尽管它们对可持续成果至关重要。此外,该研究还指出,需要更强有力、更紧密的治理、跨境合作以及更好地利用传统的地方知识来提高适应性。它还强调了包容性的基层规划和明智政策的重要性,这些政策既要保护生物多样性,又要促进公平和公正。总的来说,本文通过汇集二十年的研究,对孙德尔本斯地区复杂的环境和社会经济挑战有了更好的理解。这些见解可以帮助指导当地的保护工作,以及关于气候正义、三角洲可持续性和脆弱生态系统恢复力的全球对话。
{"title":"Unraveling anthropogenic and climate stressors in the Sundarbans and their ripple effects on livelihoods and ecosystems, and adaptation strategies for a sustainable future – A systematic review","authors":"Suman Dutta , Sumanta Das , Subrata Gorain , Santanu Kundu , Mahadev Bera , Malini Roy Choudhury , Subrata Bag , Dhananjay Paswan Das","doi":"10.1016/j.envdev.2025.101410","DOIUrl":"10.1016/j.envdev.2025.101410","url":null,"abstract":"<div><div>The Sundarbans, the largest continuous mangrove forest on Earth and a UNESCO World Heritage Site, is under growing threat from human activity and climate change. Over the last two decades, the region has faced rising sea levels, increasing salinity, biodiversity loss, more frequent cyclones, deforestation, and poorly planned development. These issues are affecting the ecosystem and also making life harder for local communities. Although researchers have studied the area extensively, there is still a lack of a unified analysis that brings together research trends and key knowledge areas. This study aims to fill that gap by offering a systematic review followed by a bibliometric analysis of studies from 2000 to 2024. It explores how human and climate-related pressures interact and affect both the environment and people living in the Sundarbans, while also looking for ways to support long-term sustainability. Here, we followed PRISMA guidelines and used tools like VOSviewer, Bibliometrix (based on R), and content analysis to review peer-reviewed articles (n = 269), screened out from the Web of Science database. Findings indicate a growing body of work, but one that is often fragmented. Common themes included climate change, degradation of ecosystem services, vulnerability to disasters, human migration, and policy approaches. Interestingly, studies that cross disciplines or focus on community-based solutions are still relatively rare, even though they are essential for sustainable outcomes. The study, further, points to the need for stronger, more connected governance, cooperation across borders, and better use of traditional local knowledge to improve adaptability. It also stresses the importance of inclusive, grassroots planning and smart policies that protect biodiversity while also promoting fairness and equity. Overall, this paper offers an improved understanding of the complex environmental and socio-economic challenges in the Sundarbans by bringing together two decades of research. The insights can help guide local conservation efforts, as well as global conversations on climate justice, delta sustainability, and resilience in vulnerable ecosystems.</div></div>","PeriodicalId":54269,"journal":{"name":"Environmental Development","volume":"58 ","pages":"Article 101410"},"PeriodicalIF":5.3,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791210","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 : 2025-12-05DOI: 10.1016/j.envdev.2025.101413
Weeberb J. Requia, Hosana Gomes da Silva, Danilo Guimarães Dantas
Wildfires in Brazil have intensified over the past two decades, posing escalating threats to biodiversity, public health, and climate stability. In response, the Brazilian government has enacted several public policy interventions aimed at curbing wildfire incidence. This study evaluates the causal impact of two major federal interventions—the PPCerrado Plan (2010) and the Forest Code reform (Law No 12.651/2012)—on national wildfire activity between 2003 and 2017. Using Bayesian structural time-series models, we estimated counterfactual wildfire trends in the absence of policy interventions and compared these to observed records, adjusting for key climatic variables and temporal confounders. Results reveal that both policies produced statistically significant reductions in wildfire activity, particularly during peak fire months such as August. The PPCerrado Plan was associated with an average monthly reduction of 5120 wildfires (−54.2 %) during effective periods, while the Forest Code yielded an average reduction of 28,880 wildfires per month (−73.1 %) across selected months. However, these effects were temporally limited and not consistently sustained across all post-intervention years. Our findings suggest that while policy frameworks can mitigate wildfire risks, their long-term success is contingent on effective implementation, cross-scale coordination, and alignment with local socioeconomic realities. We conclude that integrating legal enforcement with economic incentives, institutional capacity-building, and culturally adaptive fire management is essential to achieving durable reductions in wildfire activity in Brazil.
{"title":"Evaluating public policy effectiveness in reducing wildfires in Brazil","authors":"Weeberb J. Requia, Hosana Gomes da Silva, Danilo Guimarães Dantas","doi":"10.1016/j.envdev.2025.101413","DOIUrl":"10.1016/j.envdev.2025.101413","url":null,"abstract":"<div><div>Wildfires in Brazil have intensified over the past two decades, posing escalating threats to biodiversity, public health, and climate stability. In response, the Brazilian government has enacted several public policy interventions aimed at curbing wildfire incidence. This study evaluates the causal impact of two major federal interventions—the PPCerrado Plan (2010) and the Forest Code reform (Law No 12.651/2012)—on national wildfire activity between 2003 and 2017. Using Bayesian structural time-series models, we estimated counterfactual wildfire trends in the absence of policy interventions and compared these to observed records, adjusting for key climatic variables and temporal confounders. Results reveal that both policies produced statistically significant reductions in wildfire activity, particularly during peak fire months such as August. The PPCerrado Plan was associated with an average monthly reduction of 5120 wildfires (−54.2 %) during effective periods, while the Forest Code yielded an average reduction of 28,880 wildfires per month (−73.1 %) across selected months. However, these effects were temporally limited and not consistently sustained across all post-intervention years. Our findings suggest that while policy frameworks can mitigate wildfire risks, their long-term success is contingent on effective implementation, cross-scale coordination, and alignment with local socioeconomic realities. We conclude that integrating legal enforcement with economic incentives, institutional capacity-building, and culturally adaptive fire management is essential to achieving durable reductions in wildfire activity in Brazil.</div></div>","PeriodicalId":54269,"journal":{"name":"Environmental Development","volume":"58 ","pages":"Article 101413"},"PeriodicalIF":5.3,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737764","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 : 2025-12-04DOI: 10.1016/j.envdev.2025.101400
Mohammad Forrukh Hossain Khan , Faysal Ahamed Akash , Shaik Muntasir Shovon , Istiak Ahmed , Tania Sultana Sweety
Mining is a significant driver of economic development in developing countries, fueling industrialization, employment, and infrastructure growth. Bangladesh, despite its limited geographic size, relies heavily on fossil fuels, with coal as a primary energy source for electricity generation. The Barapukuria Coal Mine, Bangladesh's only operational coal mine, underscores this dependency on coal. However, coal extraction is associated with substantial carbon emissions and environmental degradation. This review synthesizes current knowledge on the environmental impacts of coal mining in Bangladesh, identifying critical research gaps and addressing key dimensions such as water and stream sediment quality, soil and mine tailings management, and temperature fluctuations with cascading ecological effects. The analysis also examines public health implications, socio-economic impacts, land cover and land use changes, and air quality. The review further explores sustainable mitigation and management strategies to address these challenges. Comparative analyses with global case studies and advanced modeling approaches are recommended to enhance predictive understanding of the long-term environmental impacts of coal mining and to inform effective mitigation planning.
{"title":"Sustainability challenges and environmental consequences of the Barapukuria coal mine: A comprehensive review","authors":"Mohammad Forrukh Hossain Khan , Faysal Ahamed Akash , Shaik Muntasir Shovon , Istiak Ahmed , Tania Sultana Sweety","doi":"10.1016/j.envdev.2025.101400","DOIUrl":"10.1016/j.envdev.2025.101400","url":null,"abstract":"<div><div>Mining is a significant driver of economic development in developing countries, fueling industrialization, employment, and infrastructure growth. Bangladesh, despite its limited geographic size, relies heavily on fossil fuels, with coal as a primary energy source for electricity generation. The Barapukuria Coal Mine, Bangladesh's only operational coal mine, underscores this dependency on coal. However, coal extraction is associated with substantial carbon emissions and environmental degradation. This review synthesizes current knowledge on the environmental impacts of coal mining in Bangladesh, identifying critical research gaps and addressing key dimensions such as water and stream sediment quality, soil and mine tailings management, and temperature fluctuations with cascading ecological effects. The analysis also examines public health implications, socio-economic impacts, land cover and land use changes, and air quality. The review further explores sustainable mitigation and management strategies to address these challenges. Comparative analyses with global case studies and advanced modeling approaches are recommended to enhance predictive understanding of the long-term environmental impacts of coal mining and to inform effective mitigation planning.</div></div>","PeriodicalId":54269,"journal":{"name":"Environmental Development","volume":"58 ","pages":"Article 101400"},"PeriodicalIF":5.3,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738323","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}