Environmental and Sustainability Indicators最新文献_第8页

Knowledge, attitudes, and perceptions about wildlife governance in the Hwange Tsholotsho wildlife area in Zimbabwe: A multi-methods approach

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-01-27 DOI: 10.1016/j.indic.2025.100615

Tanyaradzwa Mundoga, Walter Musakwa, Nelson Chanza

Local communities' knowledge, Attitudes, and Perceptions (KAP) are at the center of wildlife governance, particularly the discourse on conservation of megafauna such as the African savannah elephant. Yet, there is limited scholarship on (KAP) related to different levels of wildlife governance and the consequences, especially in the global South. Local KAP are likely diverse and multifaceted and often contradict higher-level perspectives. To contribute to the understanding of KAP of the local communities about wildlife governance, this study applied a multi-method approach utilizing the Q methodology and focus group discussions (FDG) in the Hwange Tsholotsho Wildlife Area of Zimbabwe. Fifty-nine (59) purposively selected participants sorted forty-nine (49) statements collected from related literature. Data from the Q-method was analyzed for factors and compared with emerging themes from the FGD. Four distinct clusters emerged i.e. the progressive and collaborative perspective; the pro-multilateralism perspective; the disenfranchised and radical reforms perspective; and the, balanced perspective. The clusters indicate that while respondents agree on the need for multilevel wildlife governance systems, there is a general concern about the restrictive and opaque nature of decisions outside their scope with little recognition of their views. While there is scope for collaborative approaches and best practices, local interests should guide decisions on concepts, conservation, and participation. This work adds to the dearth of scholarship on wildlife governance, particularly in Africa, through the use of mixed methods which exhibited potential for application in studies that address complex environmental management challenges.

{"title":"Knowledge, attitudes, and perceptions about wildlife governance in the Hwange Tsholotsho wildlife area in Zimbabwe: A multi-methods approach","authors":"Tanyaradzwa Mundoga, Walter Musakwa, Nelson Chanza","doi":"10.1016/j.indic.2025.100615","DOIUrl":"10.1016/j.indic.2025.100615","url":null,"abstract":"<div><div>Local communities' knowledge, Attitudes, and Perceptions (KAP) are at the center of wildlife governance, particularly the discourse on conservation of megafauna such as the African savannah elephant. Yet, there is limited scholarship on (KAP) related to different levels of wildlife governance and the consequences, especially in the global South. Local KAP are likely diverse and multifaceted and often contradict higher-level perspectives. To contribute to the understanding of KAP of the local communities about wildlife governance, this study applied a multi-method approach utilizing the Q methodology and focus group discussions (FDG) in the Hwange Tsholotsho Wildlife Area of Zimbabwe. Fifty-nine (59) purposively selected participants sorted forty-nine (49) statements collected from related literature. Data from the Q-method was analyzed for factors and compared with emerging themes from the FGD. Four distinct clusters emerged i.e. the <em>progressive and collaborative perspective</em>; the <em>pro-multilateralism perspective</em>; the <em>disenfranchised and radical reforms perspective</em>; and the, <em>balanced perspective</em>. The clusters indicate that while respondents agree on the need for multilevel wildlife governance systems, there is a general concern about the restrictive and opaque nature of decisions outside their scope with little recognition of their views. While there is scope for collaborative approaches and best practices, local interests should guide decisions on concepts, conservation, and participation. This work adds to the dearth of scholarship on wildlife governance, particularly in Africa, through the use of mixed methods which exhibited potential for application in studies that address complex environmental management challenges.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100615"},"PeriodicalIF":5.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characterizing the agroecological transition of Italian farming systems using FADN database

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-01-27 DOI: 10.1016/j.indic.2025.100616

Sarah Stempfle , Simone Russo , Vincenzo Fiore , Ruggiero Sardaro , Piermichele La Sala , Luigi Roselli

The Common Agricultural Policy 2023–2027 encourages the transition towards sustainable agriculture in line with the goals of the European Green Deal. Agroecology is gaining recognition as a valuable approach to enhance the sustainability of faming systems. However, there is limited understanding of the status quo of the farming systems and their readiness for transition, especially at large scales such as the national one. This paper investigates the current uptake of agroecology across the Italian farming systems, by adapting the Tool for Agroecology Performance Evaluation (TAPE) methodology to use secondary data from the Farm Accountancy Data Network (FADN). Besides, a panel between-variance regression was estimated to identify the key determinants of the transition degree. The results indicate that agroecology has not yet been widely adopted by the Italian farms. Additionally, factors such as the type of farming, farm management, farm economic and physical size, farm location, and farmer's socio-demographics play a significant role in explaining the variation in the transition intensity towards an agroecological production system. The findings provide a knowledgebase for developing targeted policies and monitoring progress in agroecological transition. The study confirms the viability of using the FADN to evaluate the degree of agroecological transition, while also revealing information gaps. Although essential environmental and social information will be included in the forthcoming Farm Sustainability Data Network, further integrative sources should be explored to capture multifaced aspects of agroecological transition within broader agri-food systems, while in-depth studies based on primary data collection could offer more detailed and nuanced insights.

{"title":"Characterizing the agroecological transition of Italian farming systems using FADN database","authors":"Sarah Stempfle , Simone Russo , Vincenzo Fiore , Ruggiero Sardaro , Piermichele La Sala , Luigi Roselli","doi":"10.1016/j.indic.2025.100616","DOIUrl":"10.1016/j.indic.2025.100616","url":null,"abstract":"<div><div>The Common Agricultural Policy 2023–2027 encourages the transition towards sustainable agriculture in line with the goals of the European Green Deal. Agroecology is gaining recognition as a valuable approach to enhance the sustainability of faming systems. However, there is limited understanding of the <em>status quo</em> of the farming systems and their readiness for transition, especially at large scales such as the national one. This paper investigates the current uptake of agroecology across the Italian farming systems, by adapting the Tool for Agroecology Performance Evaluation (TAPE) methodology to use secondary data from the Farm Accountancy Data Network (FADN). Besides, a panel between-variance regression was estimated to identify the key determinants of the transition degree. The results indicate that agroecology has not yet been widely adopted by the Italian farms. Additionally, factors such as the type of farming, farm management, farm economic and physical size, farm location, and farmer's socio-demographics play a significant role in explaining the variation in the transition intensity towards an agroecological production system. The findings provide a knowledgebase for developing targeted policies and monitoring progress in agroecological transition. The study confirms the viability of using the FADN to evaluate the degree of agroecological transition, while also revealing information gaps. Although essential environmental and social information will be included in the forthcoming Farm Sustainability Data Network, further integrative sources should be explored to capture multifaced aspects of agroecological transition within broader agri-food systems, while in-depth studies based on primary data collection could offer more detailed and nuanced insights.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100616"},"PeriodicalIF":5.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Policy insights for drought adaptation: Farmers' behavior and sustainable agricultural development

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-01-26 DOI: 10.1016/j.indic.2025.100603

Mostafa Moridi , Mehdi Rahimian , Rezvan Ghanbari Movahed , Homa Molavi , Saeed Gholamrezai , Kianfar Payamani

Drought is arguably one of the most severe consequences of climate change. However, in Iran, the occurrence of drought predates the current climate crisis, making it a longstanding environmental challenge. While existing studies often emphasize the technical aspects and severity of drought, there is a pressing need to focus on policies that equip managers and policymakers to support farmers in adapting to these conditions. Sustainable agricultural development depends on transforming farmers' behaviors to effectively cope with crises such as drought. This study explores the responses of farmers in western Iran to drought through the lens of protection motivation theory. The findings demonstrate the utility of this model in understanding farmer adaptation behaviors. To strengthen drought resilience, the study highlights the importance of enhancing farmers' self-efficacy, refining response strategies, and addressing perceptions of vulnerability. By offering actionable recommendations, this research provides managers and agricultural policymakers with practical tools to improve drought management and foster adaptive behaviors among farmers, contributing to more sustainable and resilient agricultural systems.

{"title":"Policy insights for drought adaptation: Farmers' behavior and sustainable agricultural development","authors":"Mostafa Moridi , Mehdi Rahimian , Rezvan Ghanbari Movahed , Homa Molavi , Saeed Gholamrezai , Kianfar Payamani","doi":"10.1016/j.indic.2025.100603","DOIUrl":"10.1016/j.indic.2025.100603","url":null,"abstract":"<div><div>Drought is arguably one of the most severe consequences of climate change. However, in Iran, the occurrence of drought predates the current climate crisis, making it a longstanding environmental challenge. While existing studies often emphasize the technical aspects and severity of drought, there is a pressing need to focus on policies that equip managers and policymakers to support farmers in adapting to these conditions. Sustainable agricultural development depends on transforming farmers' behaviors to effectively cope with crises such as drought. This study explores the responses of farmers in western Iran to drought through the lens of protection motivation theory. The findings demonstrate the utility of this model in understanding farmer adaptation behaviors. To strengthen drought resilience, the study highlights the importance of enhancing farmers' self-efficacy, refining response strategies, and addressing perceptions of vulnerability. By offering actionable recommendations, this research provides managers and agricultural policymakers with practical tools to improve drought management and foster adaptive behaviors among farmers, contributing to more sustainable and resilient agricultural systems.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100603"},"PeriodicalIF":5.4,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Power generation expansion planning with high penetration of geothermal energy – Potential, prospects and policy

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-01-25 DOI: 10.1016/j.indic.2025.100614

Muhammad Amir Raza , Mahmoud Ahmad Al-Khasawneh , Yahya Z. Alharthi , Muhammad Faheem , Raza Haider , Laveet Kumar

Climate is changing due to greater carbon emissions with observable effects like severe weather events, shifts in precipitation patterns, rising sea levels, and warming oceans. Hence power generation expansion planning with high penetration of geothermal energy is proposed in Pakistan for sustainable climate environment. Pakistan is blessed with 100 GW of geothermal capacity and it is exploited using the Low Emissions Analysis platform (LEAP) software for the study period 2024 to 2060 by taking the base year 2023. The results revealed that for the year 2024 geothermal energy will be produced around 33.12 TWh which then increased to 58.07 TWh until 2027, 108.15 TWh units until 2030 to 364.56 TWh units until 2040, 787.91 TWh units until 2050 and 1599.99 TWh units until 2060. Further, the investment cost is forecasted that 1.07 US billion $ until 2024 which then enhanced to 2.13 US billion $ until 2027, 3.41 US billion $ until 2030, 9.83 US billion $ until 2040, 24.42 US billion $ until 2050 and 55.34 US billion $ until 2060. The forecasted capacity of geothermal is capable of reducing 30% carbon emissions until 2030 and further it reduces 50% and 100% carbon emissions until 2030 and 2040. This study provides zero-emission solutions, climate risk management, equity, and justice in the climate action goals worldwide.

{"title":"Power generation expansion planning with high penetration of geothermal energy – Potential, prospects and policy","authors":"Muhammad Amir Raza , Mahmoud Ahmad Al-Khasawneh , Yahya Z. Alharthi , Muhammad Faheem , Raza Haider , Laveet Kumar","doi":"10.1016/j.indic.2025.100614","DOIUrl":"10.1016/j.indic.2025.100614","url":null,"abstract":"<div><div>Climate is changing due to greater carbon emissions with observable effects like severe weather events, shifts in precipitation patterns, rising sea levels, and warming oceans. Hence power generation expansion planning with high penetration of geothermal energy is proposed in Pakistan for sustainable climate environment. Pakistan is blessed with 100 GW of geothermal capacity and it is exploited using the Low Emissions Analysis platform (LEAP) software for the study period 2024 to 2060 by taking the base year 2023. The results revealed that for the year 2024 geothermal energy will be produced around 33.12 TWh which then increased to 58.07 TWh until 2027, 108.15 TWh units until 2030 to 364.56 TWh units until 2040, 787.91 TWh units until 2050 and 1599.99 TWh units until 2060. Further, the investment cost is forecasted that 1.07 US billion $ until 2024 which then enhanced to 2.13 US billion $ until 2027, 3.41 US billion $ until 2030, 9.83 US billion $ until 2040, 24.42 US billion $ until 2050 and 55.34 US billion $ until 2060. The forecasted capacity of geothermal is capable of reducing 30% carbon emissions until 2030 and further it reduces 50% and 100% carbon emissions until 2030 and 2040. This study provides zero-emission solutions, climate risk management, equity, and justice in the climate action goals worldwide.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100614"},"PeriodicalIF":5.4,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial-temporal baseline study of nutrients and trace elements characterization of a large tropical transition system in West Africa

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-01-25 DOI: 10.1016/j.indic.2025.100610

Celso Paulo , João A. Carreiras , Susanne Tanner , Carmen Van-Dúnem dos Santos , Vanessa F. Fonseca , Bernardo Duarte

Diogo Cao Bay is a massive transitional system northeast of Angola at the Congo/Zaire River mouth, the second-largest river in the world and the largest river in Africa, making it ideal for urban development. The Bay's physicochemical features, nutrients, and trace element contamination were evaluated to assess the system's anthropogenic pressure. Sediment and water samples were taken via a pressure gradient from Bocolo (BO), Moita Seca (MS), and Pululu (PLO). Water physicochemical characteristics (including nitrogen and phosphorus inorganic forms) varied seasonally, whereas sediments as trace element archives revealed a spatial variation pattern. DIN concentrations were between 8 and 140 times higher, and DIP concentrations were between 1 and 75 times higher than those in previous studies, highlighting the need for a comprehensive monitoring program. Pb and Hg Enrichment Factors (EF) and Sediment Quality Guideline-Quotient (SQG-Q) indicated the presence of anthropogenic contamination with high potential for specific adverse biological effects. Nevertheless, in terms of ecological risk, the majority of the samples were classified as having a low to moderate ecological risk. Within each of the surveyed abiotic compartments (water and sediment), the analyzed elements showed significant correlations with each other, indicating a shared source and accumulation mechanism. The pressure gradient revealed PLO as the most polluted area and BO as a potential reference site for future impact assessment studies. The current results provide key baseline information in a data-poor environment, serving as a stepping stone for future ecological health assessments and conservation efforts of this large transitional system.

{"title":"Spatial-temporal baseline study of nutrients and trace elements characterization of a large tropical transition system in West Africa","authors":"Celso Paulo , João A. Carreiras , Susanne Tanner , Carmen Van-Dúnem dos Santos , Vanessa F. Fonseca , Bernardo Duarte","doi":"10.1016/j.indic.2025.100610","DOIUrl":"10.1016/j.indic.2025.100610","url":null,"abstract":"<div><div>Diogo Cao Bay is a massive transitional system northeast of Angola at the Congo/Zaire River mouth, the second-largest river in the world and the largest river in Africa, making it ideal for urban development. The Bay's physicochemical features, nutrients, and trace element contamination were evaluated to assess the system's anthropogenic pressure. Sediment and water samples were taken via a pressure gradient from Bocolo (BO), Moita Seca (MS), and Pululu (PLO). Water physicochemical characteristics (including nitrogen and phosphorus inorganic forms) varied seasonally, whereas sediments as trace element archives revealed a spatial variation pattern. DIN concentrations were between 8 and 140 times higher, and DIP concentrations were between 1 and 75 times higher than those in previous studies, highlighting the need for a comprehensive monitoring program. Pb and Hg Enrichment Factors (EF) and Sediment Quality Guideline-Quotient (SQG-Q) indicated the presence of anthropogenic contamination with high potential for specific adverse biological effects. Nevertheless, in terms of ecological risk, the majority of the samples were classified as having a low to moderate ecological risk. Within each of the surveyed abiotic compartments (water and sediment), the analyzed elements showed significant correlations with each other, indicating a shared source and accumulation mechanism. The pressure gradient revealed PLO as the most polluted area and BO as a potential reference site for future impact assessment studies. The current results provide key baseline information in a data-poor environment, serving as a stepping stone for future ecological health assessments and conservation efforts of this large transitional system.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100610"},"PeriodicalIF":5.4,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A systematic review of urban ecosystem disservices and its evaluation: Key findings and implications

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-01-24 DOI: 10.1016/j.indic.2025.100612

Ruthi Veibiakkim, Anton Shkaruba, Kalev Sepp

Ecosystem functions generate both ecosystem services (ES) and ecosystem disservices (EDS). EDS are aspects of ecosystems that have a negative impact on human well-being. Despite growing recognition of EDS, comprehensive reviews exploring their nature across different geographical contexts and the evaluation methods utilized to study them remains scarce. This study addresses this gap through a systematic review and bibliometric analysis. A search in the Web of Science (WoS) database identified 1098 articles, from which 49 papers were selected using the ROSES flow diagram, including one pre-screened article from Google Scholar. The bibliometric analysis in VOSviewer revealed four clusters, highlighting key themes and hotspots in EDS research. The reviewed papers primarily used case study methodologies, focusing on European cities, with limited research from the global South, where socio-cultural and environmental differences may reveal different EDS dynamics. Our review identified 24 EDS types and various evaluation methods, including qualitative analysis, remote sensing and GIS, sampling method and mixed-methods which reveals a predominance of qualitative assessments of EDS, with limited quantitative approaches. Moreover, the impact of EDS on vulnerable groups are rarely explored, indicating a gap in urban environment research. This review calls for the development of evidence-based quantitative methods to assess EDS and urges their integration within ES frameworks for a more holistic understanding of urban ecosystem complexities. By bridging gaps in geographical coverage, addressing socio-cultural dimensions, and focusing on the needs of vulnerable populations, future research can guide urban planners towards more sustainable, equitable, and resilient cities.

{"title":"A systematic review of urban ecosystem disservices and its evaluation: Key findings and implications","authors":"Ruthi Veibiakkim, Anton Shkaruba, Kalev Sepp","doi":"10.1016/j.indic.2025.100612","DOIUrl":"10.1016/j.indic.2025.100612","url":null,"abstract":"<div><div>Ecosystem functions generate both ecosystem services (ES) and ecosystem disservices (EDS). EDS are aspects of ecosystems that have a negative impact on human well-being. Despite growing recognition of EDS, comprehensive reviews exploring their nature across different geographical contexts and the evaluation methods utilized to study them remains scarce. This study addresses this gap through a systematic review and bibliometric analysis. A search in the Web of Science (WoS) database identified 1098 articles, from which 49 papers were selected using the ROSES flow diagram, including one pre-screened article from Google Scholar. The bibliometric analysis in VOSviewer revealed four clusters, highlighting key themes and hotspots in EDS research. The reviewed papers primarily used case study methodologies, focusing on European cities, with limited research from the global South, where socio-cultural and environmental differences may reveal different EDS dynamics. Our review identified 24 EDS types and various evaluation methods, including qualitative analysis, remote sensing and GIS, sampling method and mixed-methods which reveals a predominance of qualitative assessments of EDS, with limited quantitative approaches. Moreover, the impact of EDS on vulnerable groups are rarely explored, indicating a gap in urban environment research. This review calls for the development of evidence-based quantitative methods to assess EDS and urges their integration within ES frameworks for a more holistic understanding of urban ecosystem complexities. By bridging gaps in geographical coverage, addressing socio-cultural dimensions, and focusing on the needs of vulnerable populations, future research can guide urban planners towards more sustainable, equitable, and resilient cities.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100612"},"PeriodicalIF":5.4,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143149382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatiotemporal dynamics and driving mechanism of eco-environmental quality in piedmont-oasis-desert ecotone based on long-term harmonized remote sensing ecological index- take Korla - Tiemenguan oasis in Xinjiang as an example

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-01-24 DOI: 10.1016/j.indic.2025.100611

Junling He , Xifeng Ju , Chuqiao Han , Liming Liu , Haidong Zhang , Saitiniyazi Adilai , Chongbo Li

Eco-environmental quality is the basic premise of oasis socio-economic development. Clarifying the spatiotemporal dynamic pattern and evolution mechanism in the piedmont-oasis-desert ecotone is a basis for regional development. To solve this problem, the Korla- Tiemengguan piedmont-oasis-desert ecotone, located between the southern foot of the Tianshan Mountain and the northern edge of the Taklimakan Desert in Xinjiang, China, was selected in this study. Meanwhile, this study proposed an oasis remote sensing ecological index (ORSEI), which considered the influence of salinization and explored the spatiotemporal pattern with long-term harmonized Landsat. Secondly, the spatial patterns were identified by trend analysis, coefficient of variation, and spatiotemporal migration model. Finally, the explanatory power was quantified, and the evolution trend was further discussed. The results showed: (1) the ORSEI had a strong correlation with RSEI (R = 0.93), but the ORSEI had better performance in the ecotone and could reflect more details. (2) In spatial distribution, the mean ORSEI was 0.334, and the central oasis was better than the northern mountainous and the southern desert. Time series showed a fluctuating upward trend, the mean value increased from 0.203 in 1991 to 0.383 in 2020. (3) The improvement area was concentrated in the central area, accounting for 46.798%, and the fluctuation of the improvement area was high. The degraded and essential stable areas were located in the northern and the southern, accounting for about 25% of the total area, and the overall fluctuation was low. (4) The spatiotemporal distribution results from the joint action of natural and human factors, the key factors were temperature, precipitation, and socio-economic development level. This study can provide ideas and methods for ecological governance and basis for the implementation of ecological protection and restoration projects.

{"title":"Spatiotemporal dynamics and driving mechanism of eco-environmental quality in piedmont-oasis-desert ecotone based on long-term harmonized remote sensing ecological index- take Korla - Tiemenguan oasis in Xinjiang as an example","authors":"Junling He , Xifeng Ju , Chuqiao Han , Liming Liu , Haidong Zhang , Saitiniyazi Adilai , Chongbo Li","doi":"10.1016/j.indic.2025.100611","DOIUrl":"10.1016/j.indic.2025.100611","url":null,"abstract":"<div><div>Eco-environmental quality is the basic premise of oasis socio-economic development. Clarifying the spatiotemporal dynamic pattern and evolution mechanism in the piedmont-oasis-desert ecotone is a basis for regional development. To solve this problem, the Korla- Tiemengguan piedmont-oasis-desert ecotone, located between the southern foot of the Tianshan Mountain and the northern edge of the Taklimakan Desert in Xinjiang, China, was selected in this study. Meanwhile, this study proposed an oasis remote sensing ecological index (ORSEI), which considered the influence of salinization and explored the spatiotemporal pattern with long-term harmonized Landsat. Secondly, the spatial patterns were identified by trend analysis, coefficient of variation, and spatiotemporal migration model. Finally, the explanatory power was quantified, and the evolution trend was further discussed. The results showed: (1) the ORSEI had a strong correlation with RSEI (R = 0.93), but the ORSEI had better performance in the ecotone and could reflect more details. (2) In spatial distribution, the mean ORSEI was 0.334, and the central oasis was better than the northern mountainous and the southern desert. Time series showed a fluctuating upward trend, the mean value increased from 0.203 in 1991 to 0.383 in 2020. (3) The improvement area was concentrated in the central area, accounting for 46.798%, and the fluctuation of the improvement area was high. The degraded and essential stable areas were located in the northern and the southern, accounting for about 25% of the total area, and the overall fluctuation was low. (4) The spatiotemporal distribution results from the joint action of natural and human factors, the key factors were temperature, precipitation, and socio-economic development level. This study can provide ideas and methods for ecological governance and basis for the implementation of ecological protection and restoration projects.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100611"},"PeriodicalIF":5.4,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143149383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An overview of smart agriculture using internet of things (IoT) and web services

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-01-23 DOI: 10.1016/j.indic.2025.100607

Vijaya Choudhary , Paramita Guha , Giovanni Pau , Sunita Mishra

The presented work provides an insightful overview of the Internet of Things (IoT), emphasizing its role in enabling real-world objects to communicate through networking technologies. IoT integrates wireless sensor networks, artificial intelligence, and cloud computing to boost productivity while minimizing costs and losses. The abstract underscores the importance of GUI applications for user-friendly interaction with IoT systems and the widespread use of RFID for tracking items, especially in supply chain management and inventory tracking. IoT devices equipped with RFID tags are highlighted as integral components of a broader network, with cloud computing offering a scalable infrastructure to manage the substantial data generated by IoT components. Data collection in IoT relies heavily on wireless sensor networks, with data uploaded to the cloud for synchronized analysis. The abstract suggests a comprehensive exploration of IoT applications across various fields, with a focus on smart-enabled applications. Overall, it sets the stage for a detailed examination of IoT's impact and potential in diverse contexts.

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引用次数: 0

Population dynamics, economic growth, energy mix, and environmental pollution in ASEAN: Exploring the role of renewable, nuclear, and nonrenewable energy using the CCEMG approach

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-01-23 DOI: 10.1016/j.indic.2025.100598

Lilik Sugiharti , Sharmin Akter , Mihir Kumar Das , Dulal Chandra Pattak , Miguel Angel Esquivias , Salma Akter

This study uses a stochastic impact model based on population, wealth, and technology to examine carbon dioxide (CO₂) emissions in the Association of Southeast Asian Nations (ASEAN) region from 1990 to 2021. To investigate the long-term and short-term interactions between energy and the environment, this study applies the Common Correlated Effects Mean Group (CCEMG) methodology as the baseline regression. The Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) approach shows the complexities of the impacts of economic activities, development, technology, and population growth on environmental quality. The findings suggest that expanding renewable energy consumption and increasing the role of nuclear energy in electricity generation, are significant strategies for reducing CO₂ in ASEAN countries. The CCEMG findings suggest that CO₂ emissions are negatively correlated to the use of fossil fuels. The Fully Modified Ordinary Least Square and Dynamic Ordinary Least Square tests demonstrated that CO₂ emissions decreased with more use of renewable and nuclear energy sources. However, economic growth, population expansion, and increasing energy intensity have significantly contributed to the persistent rise of CO₂ emissions across the region. This research highlights the necessity of diversifying the energy mix, improving energy efficiency, and redesigning economic and demographic development paths to enhance environmental standards in ASEAN.

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引用次数: 0

Assessing the ecological consequences of crude oil spills on bird communities in an Afrotropical landscape

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-01-23 DOI: 10.1016/j.indic.2025.100600

Iniunam Aniefiok Iniunam, Talatu Tende, Adams Adamanyiwa Chaskda

Oil spills present a significant challenge to global environmental sustainability, potentially impacting biodiversity and ecosystem functioning. In the Niger Delta, where crude oil production plays an important role in both local and national economies, oil spills have the potential to impact habitats and threaten local biodiversity negatively. This study aims to improve our understanding of the impact of crude oil spills on bird communities in the Niger Delta region, with a particular focus on species richness, diversity, and functional traits. We found that bird species richness and diversity were significantly lower at impacted sites compared to reference areas. Furthermore, our findings revealed a clear distinction in bird community structure, with generalist species prevailing in spill-affected areas, while specialist species exhibited lower abundance. Our findings also indicate a significant reduction in functional diversity, as indicated by functional richness and Rao's entropy, in spill-impacted habitats. This suggests a loss of critical ecological functions such as pollination, seed dispersal, and pest control. Our study highlights the cascading effects of oil spills on ecosystem services provided by birds, which are vital for human well-being. This research fills a critical gap in understanding the ecological consequences of oil spills on avian communities within the oil-rich Niger Delta area in tropical Africa. The findings underscore the urgent need for effective conservation strategies and policy measures to mitigate the environmental impacts of oil spills and protect biodiversity in the Niger Delta.

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引用次数: 0