Pub Date : 2026-02-03DOI: 10.1016/j.indic.2026.101163
Beñat Egidazu-de la Parte , Stefano Balbi , Ferdinando Villa , Anita Franco , Tiziana Luisetti , Daryl Burdon , Bárbara Ondiviela , Cristina Galván , Dorota Kolbuk , Julie Bremner , Willem Boone , Hanneloor Heynderickx , Klaas Deneudt , Marta Pascual
Studies assessing marine physical stock accounts compliant with the globally adopted System of Environmental-Economic Accounting - Ecosystem Accounting are limited. These studies typically focus on ecosystems easy to map, and the fundamental linkage between ecosystem extent and condition and ecosystem services is rarely considered. Moreover, methodologies assessing marine ecosystem condition are diverse, but there is no standardised framework yet. In this study, we have successfully integrated an ecological valuation approach — the Ecological Value Assessment — with an established habitat classification system — EUNIS — to monitor marine ecosystem extent and condition in three European Atlantic regions. Results obtained in this study reveal that ecosystems’ condition spatial patterns vary depending on the context and are driven by specific ecosystem components. Additionally, this study has proven that our methodology has the potential to track ecosystem extent and condition over time, enable the direct connection of both extent and condition to ecosystem services and potentially be standardised to support national and international accounting efforts in oceans. The integrated method proposed in this study can operate with limited data and is easily adaptable to other coastal and marine regions, fostering its reusability.
{"title":"Integrated methods for marine ecosystem physical accounting","authors":"Beñat Egidazu-de la Parte , Stefano Balbi , Ferdinando Villa , Anita Franco , Tiziana Luisetti , Daryl Burdon , Bárbara Ondiviela , Cristina Galván , Dorota Kolbuk , Julie Bremner , Willem Boone , Hanneloor Heynderickx , Klaas Deneudt , Marta Pascual","doi":"10.1016/j.indic.2026.101163","DOIUrl":"10.1016/j.indic.2026.101163","url":null,"abstract":"<div><div>Studies assessing marine physical stock accounts compliant with the globally adopted System of Environmental-Economic Accounting - Ecosystem Accounting are limited. These studies typically focus on ecosystems easy to map, and the fundamental linkage between ecosystem extent and condition and ecosystem services is rarely considered. Moreover, methodologies assessing marine ecosystem condition are diverse, but there is no standardised framework yet. In this study, we have successfully integrated an ecological valuation approach — the Ecological Value Assessment — with an established habitat classification system — EUNIS — to monitor marine ecosystem extent and condition in three European Atlantic regions. Results obtained in this study reveal that ecosystems’ condition spatial patterns vary depending on the context and are driven by specific ecosystem components. Additionally, this study has proven that our methodology has the potential to track ecosystem extent and condition over time, enable the direct connection of both extent and condition to ecosystem services and potentially be standardised to support national and international accounting efforts in oceans. The integrated method proposed in this study can operate with limited data and is easily adaptable to other coastal and marine regions, fostering its reusability.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101163"},"PeriodicalIF":5.6,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1016/j.indic.2026.101161
Rafael Suárez-López, Camilo Ruiz
Rising global temperatures are increasingly recognized as a threat to education, affecting students’ cognitive performance, learning environments, and institutional resilience. However, educational data are rarely available in many regions of the world at sufficient spatial and temporal resolution to directly quantify these impacts. This study focuses on the development and comparison of four temperature-based climate indices across Spain—mean daily temperature, maximum daily temperature, number of days above 26.7 °C, and number of days with temperature anomalies above the 95th percentile—and examines how these indices can inform understanding of heat-related risks in education. Each index captures different dimensions of climate hazards, exposure, and vulnerability, providing complementary perspectives on how increasing heat affects educational outcomes. Using ERA5-Land data from 1961 to 2022, linear regression models were applied to assess geographic disparities and climate change trends in the ten most populous Spanish cities. The indices are weighted based on their relevance to educational impacts, including inequality, learning disruptions, and health-related stress. Results reveal regional disparities in both baseline climate conditions and the pace of warming, underscoring that no single metric fully captures the multifaceted nature of heat exposure. While the study does not quantify educational impacts directly, the indices provide a framework for evaluating and comparing climate hazards in education and may also serve as tools to support climate literacy and institutional preparedness.
{"title":"Assessing climate impacts on education: a comparison of four temperature indices in Spain","authors":"Rafael Suárez-López, Camilo Ruiz","doi":"10.1016/j.indic.2026.101161","DOIUrl":"10.1016/j.indic.2026.101161","url":null,"abstract":"<div><div>Rising global temperatures are increasingly recognized as a threat to education, affecting students’ cognitive performance, learning environments, and institutional resilience. However, educational data are rarely available in many regions of the world at sufficient spatial and temporal resolution to directly quantify these impacts. This study focuses on the development and comparison of four temperature-based climate indices across Spain—mean daily temperature, maximum daily temperature, number of days above 26.7 °C, and number of days with temperature anomalies above the 95th percentile—and examines how these indices can inform understanding of heat-related risks in education. Each index captures different dimensions of climate hazards, exposure, and vulnerability, providing complementary perspectives on how increasing heat affects educational outcomes. Using ERA5-Land data from 1961 to 2022, linear regression models were applied to assess geographic disparities and climate change trends in the ten most populous Spanish cities. The indices are weighted based on their relevance to educational impacts, including inequality, learning disruptions, and health-related stress. Results reveal regional disparities in both baseline climate conditions and the pace of warming, underscoring that no single metric fully captures the multifaceted nature of heat exposure. While the study does not quantify educational impacts directly, the indices provide a framework for evaluating and comparing climate hazards in education and may also serve as tools to support climate literacy and institutional preparedness.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101161"},"PeriodicalIF":5.6,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Market-based instruments such as agricultural carbon credit programs are being encouraged as a way of mitigating climate change, and at the same time, encouraging farm-level sustainability. The review paper consolidates the literature presented throughout the world in agricultural carbon credit initiatives by analysing the expansion of research, theoretical and methodological frameworks, and determining factors that define the participation, result and limitations of the farmers. The systematic literature review was conducted in line with PRISMA, using the Scopus and WoS databases. A multi-stage screening method was used to select seventy-nine peer-reviewed articles published between 2005 and 2025. The Theory-Context-Characteristics-Methodology (TCCM) framework and the Antecedents-Decision-Outcomes (ADO) framework were used together with bibliometric analysis to assess the trends in research, drivers of participation and system-level outcomes. The existing literature is dominated by behavioural and economic theories as compared to institutional and systems-based views that are relatively undeveloped. The involvement of the farmers depends on a mixture of the economic incentives, the institutional trust, policy stability, transaction costs, and social and informational factors and not necessarily on the carbon prices themselves. Even though carbon credit initiatives can create supportive economic, social and environmental impacts, these impacts are extremely contextual and unevenly distributed, hence, skewed against smallholder farmers. Carbon credits can promote climate mitigation in agricultural contexts when entrenched in consistent policy systems and reliable institutional structures.
{"title":"Global evidence on status, determinants, impact and barriers to adoption of agricultural carbon credits: A systematic literature review using bibliometric, TCCM and ADO framework","authors":"Gnana Xavier J , Kanagaraj Mohanraj , Tamilarasu Arivelarasan","doi":"10.1016/j.indic.2026.101156","DOIUrl":"10.1016/j.indic.2026.101156","url":null,"abstract":"<div><div>Market-based instruments such as agricultural carbon credit programs are being encouraged as a way of mitigating climate change, and at the same time, encouraging farm-level sustainability. The review paper consolidates the literature presented throughout the world in agricultural carbon credit initiatives by analysing the expansion of research, theoretical and methodological frameworks, and determining factors that define the participation, result and limitations of the farmers. The systematic literature review was conducted in line with PRISMA, using the Scopus and WoS databases. A multi-stage screening method was used to select seventy-nine peer-reviewed articles published between 2005 and 2025. The Theory-Context-Characteristics-Methodology (TCCM) framework and the Antecedents-Decision-Outcomes (ADO) framework were used together with bibliometric analysis to assess the trends in research, drivers of participation and system-level outcomes. The existing literature is dominated by behavioural and economic theories as compared to institutional and systems-based views that are relatively undeveloped. The involvement of the farmers depends on a mixture of the economic incentives, the institutional trust, policy stability, transaction costs, and social and informational factors and not necessarily on the carbon prices themselves. Even though carbon credit initiatives can create supportive economic, social and environmental impacts, these impacts are extremely contextual and unevenly distributed, hence, skewed against smallholder farmers. Carbon credits can promote climate mitigation in agricultural contexts when entrenched in consistent policy systems and reliable institutional structures.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101156"},"PeriodicalIF":5.6,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1016/j.indic.2026.101159
Malena Torres-Ulloa , Vladimir Verner , Ramón Espinel , Diego Portalanza , Eduardo Álava , María Jiménez Feijoó , Omar Ruiz-Barzola , Patrick Van Damme
Family farming systems are widespread in tropical cocoa production, supporting rural livelihoods while providing ecosystem services such as carbon storage and soil protection. However, farm structure and crop diversity are not always integrated into ecosystem function assessments, particularly in wetland–agriculture mosaics. This study analyses how crop diversity and farm characteristics influence soil organic carbon (SOC), biomass carbon (BOC), and erosion control (EC), and how these functions relate to climate regulation and erosion prevention in the Abras de Mantequilla Ramsar site, coastal Ecuador. Data were collected from 131 farms. Family farms were classified using k-means clustering based on labour composition and land-use distribution into three types: market-oriented farms with greater use of hired labour, small-scale farms mainly reliant on family labour, and balanced farms with mixed labour use. Non-family farms were analysed as a separate group. Crop diversity was quantified using Shannon's index. Ecosystem functions were mapped using an indicator-based approach that combines satellite-derived information with farm-level data. Statistical and machine-learning models were used to analyse relationships between crop diversity, farm type, and ecosystem functions. Results show heterogeneity across farm types: crop diversity was positively associated with SOC in one family-farm type and in non-family farms, BOC showed weak associations with farm characteristics, and EC showed no consistent relationships across farm categories. These findings indicate that accounting for farm structural diversity can improve ecosystem function assessments and inform policy approaches aimed at climate regulation and soil conservation in cocoa-based farming systems.
家庭农业系统在热带可可生产中广泛存在，支持农村生计，同时提供碳储存和土壤保护等生态系统服务。然而，农业结构和作物多样性并不总是被纳入生态系统功能评估，特别是在湿地-农业马赛克中。本研究分析了厄瓜多尔沿海Abras de Mantequilla Ramsar地区作物多样性和农业特征对土壤有机碳（SOC）、生物质碳（BOC）和侵蚀控制（EC）的影响，以及这些功能与气候调节和侵蚀预防的关系。数据收集自131个农场。基于劳动力构成和土地利用分布，采用k-means聚类方法将家庭农场分为三种类型：以市场为导向、更多使用雇佣劳动力的农场、主要依赖家庭劳动力的小规模农场和混合使用劳动力的平衡农场。非家庭农场作为一个单独的群体进行分析。采用香农指数对作物多样性进行量化。生态系统功能是利用一种基于指标的方法绘制的，该方法将卫星获得的信息与农场一级的数据相结合。统计和机器学习模型用于分析作物多样性、农场类型和生态系统功能之间的关系。结果显示出不同农场类型的异质性：作物多样性与有机碳在一种家庭农场类型中呈正相关，在非家庭农场类型中，有机碳与农场特征呈弱相关，而有机碳在不同农场类型中没有一致的关系。这些发现表明，考虑农业结构多样性可以改善生态系统功能评估，并为以可可为基础的农业系统的气候调节和土壤保持的政策制定提供信息。
{"title":"Combining satellite and farm-collected data to assess ecosystem functions in family-run cocoa production systems: a case study from the Abras de Mantequilla Ramsar site in Ecuador","authors":"Malena Torres-Ulloa , Vladimir Verner , Ramón Espinel , Diego Portalanza , Eduardo Álava , María Jiménez Feijoó , Omar Ruiz-Barzola , Patrick Van Damme","doi":"10.1016/j.indic.2026.101159","DOIUrl":"10.1016/j.indic.2026.101159","url":null,"abstract":"<div><div>Family farming systems are widespread in tropical cocoa production, supporting rural livelihoods while providing ecosystem services such as carbon storage and soil protection. However, farm structure and crop diversity are not always integrated into ecosystem function assessments, particularly in wetland–agriculture mosaics. This study analyses how crop diversity and farm characteristics influence soil organic carbon (SOC), biomass carbon (BOC), and erosion control (EC), and how these functions relate to climate regulation and erosion prevention in the Abras de Mantequilla Ramsar site, coastal Ecuador. Data were collected from 131 farms. Family farms were classified using k-means clustering based on labour composition and land-use distribution into three types: market-oriented farms with greater use of hired labour, small-scale farms mainly reliant on family labour, and balanced farms with mixed labour use. Non-family farms were analysed as a separate group. Crop diversity was quantified using Shannon's index. Ecosystem functions were mapped using an indicator-based approach that combines satellite-derived information with farm-level data. Statistical and machine-learning models were used to analyse relationships between crop diversity, farm type, and ecosystem functions. Results show heterogeneity across farm types: crop diversity was positively associated with SOC in one family-farm type and in non-family farms, BOC showed weak associations with farm characteristics, and EC showed no consistent relationships across farm categories. These findings indicate that accounting for farm structural diversity can improve ecosystem function assessments and inform policy approaches aimed at climate regulation and soil conservation in cocoa-based farming systems.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101159"},"PeriodicalIF":5.6,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The rising demand for food, escalating water security, the impact of climate change, and global policy initiatives have heightened research focus on sustainability in agricultural water management. However, the field suffers from a lack of conceptual coherence and the persistence of conceptual ambiguity, resulting in limited transferable knowledge production. This study addresses these gaps through a systematic review using the Search, Appraisal, Synthesis, and Analysis (SALSA) framework, encompassing literature published by the end of 2021. Quantitative bibliometric analysis revealed an upsurge in literature (an average annual increase of 33.88% from 1970 to 2021), reflecting alignment with scientific priorities and global policy initiatives. However, conceptual advancement has not kept pace with this rising volume. Keyword proliferation and disciplinary concentration indicate ongoing ambiguity, with sustainability often framed through environmentally centric and context-specific perspectives. The economic and social pillars remain insufficiently explored, and the production of knowledge is disproportionately centered in the Global North. Qualitative synthesis evidence, definitional plurality, and methodological diversity, hindering comparability and transferability across contexts. We integrate our findings into a cohesive thematic structure based on the three pillars of sustainability. Conceptual consolidation and consistent application of sustainability principles require a shift toward more integrative research practices. For this, we recommend focusing on stakeholder co-production, inclusive research agenda, expanded coverage of all three pillars, and increased representation from the Global South.
{"title":"Advancing sustainability in agriculture water management: Insights from literature","authors":"Bishal Dahal , Tamara Avellán , Ali Torabi Haghighi , Bjørn Kløve","doi":"10.1016/j.indic.2026.101142","DOIUrl":"10.1016/j.indic.2026.101142","url":null,"abstract":"<div><div>The rising demand for food, escalating water security, the impact of climate change, and global policy initiatives have heightened research focus on sustainability in agricultural water management. However, the field suffers from a lack of conceptual coherence and the persistence of conceptual ambiguity, resulting in limited transferable knowledge production. This study addresses these gaps through a systematic review using the Search, Appraisal, Synthesis, and Analysis (SALSA) framework, encompassing literature published by the end of 2021. Quantitative bibliometric analysis revealed an upsurge in literature (an average annual increase of 33.88% from 1970 to 2021), reflecting alignment with scientific priorities and global policy initiatives. However, conceptual advancement has not kept pace with this rising volume. Keyword proliferation and disciplinary concentration indicate ongoing ambiguity, with sustainability often framed through environmentally centric and context-specific perspectives. The economic and social pillars remain insufficiently explored, and the production of knowledge is disproportionately centered in the Global North. Qualitative synthesis evidence, definitional plurality, and methodological diversity, hindering comparability and transferability across contexts. We integrate our findings into a cohesive thematic structure based on the three pillars of sustainability. Conceptual consolidation and consistent application of sustainability principles require a shift toward more integrative research practices. For this, we recommend focusing on stakeholder co-production, inclusive research agenda, expanded coverage of all three pillars, and increased representation from the Global South.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101142"},"PeriodicalIF":5.6,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1016/j.indic.2026.101154
Boniface Ngah Epo, David Arsène Temching Sonkeng Etame
This study analyzes the temporal synchronization and spillover impacts of China's green growth on African Regional Economic Communities (RECs) from 1996 to 2019, emphasizing emissions dynamics and environmental externalities. Two composite indicators are developed: the Stimulating Green Growth Index (SGGI), which measures advancements in energy sustainability, production efficiency, and social inclusion, and the Destimulating Green Growth Index (DGGI), which indicates pollution intensity, resource depletion, and ecological degradation. The indices are generated by a two-stage Principal Component Analysis and examined through the Continuous Wavelet Transform, facilitating the detection of time-frequency-specific synchronization and lead-lag correlations. The results indicate a significant disparity in the transfer of green growth between China and Africa. China's promotion of green growth has weak and sporadic alignment with African trends, demonstrating modest convergence solely following the Paris Agreement. Conversely, China's counterproductive green growth demonstrates robust, enduring, and China-driven synchronization with African regions, signifying considerable transboundary spillovers of environmental costs. Phases of accelerated economic growth in China often align with increasing destimulating pressures in resource-abundant African Regional Economic Communities, indicating emissions externalization via trade and extractive connections. This study documents pre-2020 dynamics to offer a baseline for assessing China's post-2020 dual-carbon promises and their effects on carbon spillovers within China–Africa supply chains.
{"title":"China and Africa in the green transition: Evidence from wavelet analysis","authors":"Boniface Ngah Epo, David Arsène Temching Sonkeng Etame","doi":"10.1016/j.indic.2026.101154","DOIUrl":"10.1016/j.indic.2026.101154","url":null,"abstract":"<div><div>This study analyzes the temporal synchronization and spillover impacts of China's green growth on African Regional Economic Communities (RECs) from 1996 to 2019, emphasizing emissions dynamics and environmental externalities. Two composite indicators are developed: the Stimulating Green Growth Index (SGGI), which measures advancements in energy sustainability, production efficiency, and social inclusion, and the Destimulating Green Growth Index (DGGI), which indicates pollution intensity, resource depletion, and ecological degradation. The indices are generated by a two-stage Principal Component Analysis and examined through the Continuous Wavelet Transform, facilitating the detection of time-frequency-specific synchronization and lead-lag correlations. The results indicate a significant disparity in the transfer of green growth between China and Africa. China's promotion of green growth has weak and sporadic alignment with African trends, demonstrating modest convergence solely following the Paris Agreement. Conversely, China's counterproductive green growth demonstrates robust, enduring, and China-driven synchronization with African regions, signifying considerable transboundary spillovers of environmental costs. Phases of accelerated economic growth in China often align with increasing destimulating pressures in resource-abundant African Regional Economic Communities, indicating emissions externalization via trade and extractive connections. This study documents pre-2020 dynamics to offer a baseline for assessing China's post-2020 dual-carbon promises and their effects on carbon spillovers within China–Africa supply chains.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101154"},"PeriodicalIF":5.6,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1016/j.indic.2026.101157
Teklu Gebretsadik, Tsadiku Alemu
Linking Bees, Biodiversity, and Breadwinners highlights the complex and essential relationship between Bees and the survival of rural livelihoods. Although the role of bees in advancing sustainable development objectives is broadly recognized, a range of additional advantages offered by bees has not been completely acknowledged. This study examines how Beekeeping adoption influences ecological productivity and the sustainability of livelihoods for rural households across six kebele in Dilla Zuria, Wonago, and Dale woreda clusters in Southern Ethiopia. It employs a triangulated mixed-methods design that includes household surveys (n = 178), plot-level production data (n = 120), alongside 10 key informant interviews (KIIs) and 6 focus group discussions (FGDs). An index for livelihood sustainability (LSI) was developed utilizing normalized components of economic, social, and ecological factors. Findings indicate that adopting Beekeeping boosts the likelihood of enhanced livelihood sustainability by 6 percentage points, and every extra ETB 1000 in honey revenue elevates LSI by 1.2 percentage points. Productivity assessment shows that a one-unit rise in the pollinator index boosts crop yield by 12%, while adding 10 hives raises yield by 3%. Mediation analysis verifies a modest yet significant ecological pathway; adoption enhances pollinator abundance (β = 0.35, p < 0.001), leading to higher yield (β = 0.11, p = 0.007), resulting in a small but notable indirect benefit in LSI. Propensity score matching shows an average income increase of ETB 3200 for those who adopt. Qualitative evidence spines these conclusions, emphasizing Beekeeping as a means of income stability, ecosystem benefits, and empowerment, especially when combined with institutional backing and gender inclusivity. The research introduces and determines that Beekeeping acts as a connection between 3B's (Bees, Biodiversity, and Breadwinners) as preserving biodiversity and ensuring the sustainability of rural livelihoods. The research finds that enhancing Beekeeping in smallholder farming systems can greatly support in reaching the Sustainable Development Goals (SDGs)- especially SDG 1.1 and 1.2 through improved income-focused poverty alleviation, SDG 2 (Zero Hunger), SDG 13 (Climate Action), and SDG 15.1 and 15.5, aligning with the Biodiversity Strategy and Action Plan. Enhancing agroecological methods that support pollinators, increasing access to modern Beekeeping technologies, and boosting institutional capabilities can expedite advancements towards sustainable agri-food systems.
《联系蜜蜂、生物多样性和养家糊口者》强调了蜜蜂与农村生计生存之间复杂而重要的关系。虽然蜜蜂在促进可持续发展目标方面的作用已得到广泛承认，但蜜蜂提供的一系列额外优势尚未得到完全承认。本研究考察了在埃塞俄比亚南部的Dilla Zuria、Wonago和Dale worreda集群的六个kebele中，养蜂的采用如何影响农村家庭的生态生产力和生计的可持续性。该研究采用三角混合方法设计，包括住户调查（n = 178）、小区生产数据（n = 120）、10次关键信息者访谈（kii）和6次焦点小组讨论（fgd）。利用经济、社会和生态因素的标准化成分，开发了生计可持续性指数（LSI）。研究结果表明，养蜂使生计可持续性提高了6个百分点，蜂蜜收入每增加1000英镑，LSI就会提高1.2个百分点。生产力评估显示，传粉者指数每增加一个单位，作物产量就会提高12%，而增加10个蜂箱，产量就会提高3%。中介分析验证了一条适度但重要的生态路径；采食增加传粉媒介丰度（β = 0.35, p < 0.001），导致更高的产量（β = 0.11, p = 0.007），在大规模种植中产生了虽小但显著的间接效益。倾向得分匹配显示，那些采用的人平均收入增加了3200英镑。定性证据支持这些结论，强调养蜂是收入稳定、生态系统效益和赋权的一种手段，特别是在与制度支持和性别包容性相结合的情况下。该研究介绍并确定了养蜂作为3B（蜜蜂、生物多样性和养家糊口者）之间的联系，以保护生物多样性和确保农村生计的可持续性。研究发现，通过加强以收入为重点的扶贫、可持续发展目标2（零饥饿）、可持续发展目标13（气候行动）以及可持续发展目标15.1和15.5，加强小农农业系统的养蜂可以极大地支持实现可持续发展目标（SDG），特别是可持续发展目标1.1和1.2，并与《生物多样性战略和行动计划》保持一致。加强支持传粉媒介的农业生态方法，增加获得现代养蜂技术的机会，并提高机构能力，可以加快实现可持续农业粮食系统的进程。
{"title":"Linking Bees, Biodiversity, and Breadwinners: Ecological and Economic values of Beekeeping for Agricultural productivity and livelihood sustainability in Southern Ethiopia","authors":"Teklu Gebretsadik, Tsadiku Alemu","doi":"10.1016/j.indic.2026.101157","DOIUrl":"10.1016/j.indic.2026.101157","url":null,"abstract":"<div><div>Linking Bees, Biodiversity, and Breadwinners highlights the complex and essential relationship between Bees and the survival of rural livelihoods. Although the role of bees in advancing sustainable development objectives is broadly recognized, a range of additional advantages offered by bees has not been completely acknowledged. This study examines how Beekeeping adoption influences ecological productivity and the sustainability of livelihoods for rural households across six kebele in Dilla Zuria, Wonago, and Dale woreda clusters in Southern Ethiopia. It employs a triangulated mixed-methods design that includes household surveys (n = 178), plot-level production data (n = 120), alongside 10 key informant interviews (KIIs) and 6 focus group discussions (FGDs). An index for livelihood sustainability (LSI) was developed utilizing normalized components of economic, social, and ecological factors. Findings indicate that adopting Beekeeping boosts the likelihood of enhanced livelihood sustainability by 6 percentage points, and every extra ETB 1000 in honey revenue elevates LSI by 1.2 percentage points. Productivity assessment shows that a one-unit rise in the pollinator index boosts crop yield by 12%, while adding 10 hives raises yield by 3%. Mediation analysis verifies a modest yet significant ecological pathway; adoption enhances pollinator abundance (β = 0.35, p < 0.001), leading to higher yield (β = 0.11, p = 0.007), resulting in a small but notable indirect benefit in LSI. Propensity score matching shows an average income increase of ETB 3200 for those who adopt. Qualitative evidence spines these conclusions, emphasizing Beekeeping as a means of income stability, ecosystem benefits, and empowerment, especially when combined with institutional backing and gender inclusivity. The research introduces and determines that Beekeeping acts as a connection between 3B's (Bees, Biodiversity, and Breadwinners) as preserving biodiversity and ensuring the sustainability of rural livelihoods. The research finds that enhancing Beekeeping in smallholder farming systems can greatly support in reaching the Sustainable Development Goals (SDGs)- especially SDG 1.1 and 1.2 through improved income-focused poverty alleviation, SDG 2 (Zero Hunger), SDG 13 (Climate Action), and SDG 15.1 and 15.5, aligning with the Biodiversity Strategy and Action Plan. Enhancing agroecological methods that support pollinators, increasing access to modern Beekeeping technologies, and boosting institutional capabilities can expedite advancements towards sustainable agri-food systems.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101157"},"PeriodicalIF":5.6,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01DOI: 10.1016/j.indic.2025.101042
Moslem Savari , Bagher Khaleghi
Climate Smart Agriculture (CSA) represents a progressive approach to the sustainable management of agricultural resources, playing a critical role in enhancing productivity, reducing operational costs, and mitigating the impacts of climate change. Recognizing the significance of CSA in rice cultivation, this study investigates the factors influencing the adoption of CSA practices among rice farmers in Shushtar County, Khuzestan Province, Iran. The theoretical framework was grounded in Protection Motivation Theory (PMT), with two additional behavioral constructs—social norms (SN) and habits—integrated to enrich the model. Data were collected via a structured questionnaire and analyzed using structural equation modeling. Findings revealed that the original PMT framework accounted for 57.9 % of the variance in CSA adoption. Key constructs—perceived severity (PS), perceived vulnerability (PV), response cost (CR), response efficacy (RE), and self-efficacy (SE)—all demonstrated significant influence. Notably, the extended model incorporating SN and habits improved explanatory power by an additional 22 %, underscoring the relevance of social and behavioral dimensions in shaping farmer decisions. Among all variables, perceived vulnerability and response efficacy emerged as the most influential factors. Based on these insights, it is recommended that policymakers prioritize initiatives that raise awareness of climate-related risks and enhance farmers’ understanding of their vulnerability. Such efforts can foster greater engagement with CSA practices and support sustainable agricultural development in climate-sensitive regions.
{"title":"Healthy rice production with environmental sustainability through climate smart agriculture: based on evidence from Iran","authors":"Moslem Savari , Bagher Khaleghi","doi":"10.1016/j.indic.2025.101042","DOIUrl":"10.1016/j.indic.2025.101042","url":null,"abstract":"<div><div>Climate Smart Agriculture (CSA) represents a progressive approach to the sustainable management of agricultural resources, playing a critical role in enhancing productivity, reducing operational costs, and mitigating the impacts of climate change. Recognizing the significance of CSA in rice cultivation, this study investigates the factors influencing the adoption of CSA practices among rice farmers in Shushtar County, Khuzestan Province, Iran. The theoretical framework was grounded in Protection Motivation Theory (PMT), with two additional behavioral constructs—social norms (SN) and habits—integrated to enrich the model. Data were collected via a structured questionnaire and analyzed using structural equation modeling. Findings revealed that the original PMT framework accounted for 57.9 % of the variance in CSA adoption. Key constructs—perceived severity (PS), perceived vulnerability (PV), response cost (CR), response efficacy (RE), and self-efficacy (SE)—all demonstrated significant influence. Notably, the extended model incorporating SN and habits improved explanatory power by an additional 22 %, underscoring the relevance of social and behavioral dimensions in shaping farmer decisions. Among all variables, perceived vulnerability and response efficacy emerged as the most influential factors. Based on these insights, it is recommended that policymakers prioritize initiatives that raise awareness of climate-related risks and enhance farmers’ understanding of their vulnerability. Such efforts can foster greater engagement with CSA practices and support sustainable agricultural development in climate-sensitive regions.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101042"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corrigendum to “The dynamics of social conflict and deforestation: Empirical evidence from the refugee crisis in southeast Bangladesh” [Environ. Sustain. Indicat. 28 (2025) 101014]","authors":"S.M. Asik Ullah , Saifur Rahman , Rojina Akter , Khondokar Humayun Kabir","doi":"10.1016/j.indic.2025.101114","DOIUrl":"10.1016/j.indic.2025.101114","url":null,"abstract":"","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101114"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-31DOI: 10.1016/j.indic.2026.101158
Bonyad Ahmadi , Maryam Naghdi , Mehdi Gholamalifard , Sayed Mahmud Ghasempouri
Coastal ecosystems such as mangroves, seagrasses, and coral reefs are highly sensitive to shoreline instability and rapid land-use changes in industrializing regions. Nayband Gulf, located adjacent to the Pars Special Economic Energy Zone (PSEEZ) in the northern Persian Gulf, has experienced considerable environmental pressures over the past two decades. The overarching aim of this study is to analyze the interplay between shoreline dynamics, land-use/land-cover (LULC) changes, and habitat degradation. Specifically, we seek to: (1) quantify shoreline changes from 2000 to 2023, (2) assess the effects of LULC changes on sensitive coastal habitats, and (3) examine the potential relationship between industrial expansion, Shoreline Fluctuations, and habitat degradation. To this end, cloud-free Landsat imagery acquired under low-tide conditions (30 m resolution; 2000, 2010/2013, 2021, 2023) was used. Shoreline changes were quantified along 974 transects using the Digital Shoreline Analysis System (DSAS) version 5.0 through EPR, LRR, NSM, and SCE metrics. LULC transitions were mapped through supervised classification (overall accuracy 88–91%, κ = 0.87–0.90) with habitats delineated using Allen Coral Atlas and field surveys. Quantification demonstrates a >2600-ha transformation of landscapes and coastal waters, primarily for petrochemical and industrial land reclamation and development. Western sectors exhibited pronounced erosion (70.7% transects; mean retreat 88.5 m), whereas accretion processes were dominant in the eastern sector. The findings underscore that large-scale industrial transformation of the coastline is a critical driver of concurrent habitat degradation and shoreline change in this vulnerable system, suggesting a probable causal link within the complex coastal dynamics.
{"title":"Coastal changes monitoring based on DSAS and LCM: implications for habitat management in the largest independent gas reserve in the world","authors":"Bonyad Ahmadi , Maryam Naghdi , Mehdi Gholamalifard , Sayed Mahmud Ghasempouri","doi":"10.1016/j.indic.2026.101158","DOIUrl":"10.1016/j.indic.2026.101158","url":null,"abstract":"<div><div>Coastal ecosystems such as mangroves, seagrasses, and coral reefs are highly sensitive to shoreline instability and rapid land-use changes in industrializing regions. Nayband Gulf, located adjacent to the Pars Special Economic Energy Zone (PSEEZ) in the northern Persian Gulf, has experienced considerable environmental pressures over the past two decades. The overarching aim of this study is to analyze the interplay between shoreline dynamics, land-use/land-cover (LULC) changes, and habitat degradation. Specifically, we seek to: (1) quantify shoreline changes from 2000 to 2023, (2) assess the effects of LULC changes on sensitive coastal habitats, and (3) examine the potential relationship between industrial expansion, Shoreline Fluctuations, and habitat degradation. To this end, cloud-free Landsat imagery acquired under low-tide conditions (30 m resolution; 2000, 2010/2013, 2021, 2023) was used. Shoreline changes were quantified along 974 transects using the Digital Shoreline Analysis System (DSAS) version 5.0 through EPR, LRR, NSM, and SCE metrics. LULC transitions were mapped through supervised classification (overall accuracy 88–91%, κ = 0.87–0.90) with habitats delineated using Allen Coral Atlas and field surveys. Quantification demonstrates a >2600-ha transformation of landscapes and coastal waters, primarily for petrochemical and industrial land reclamation and development. Western sectors exhibited pronounced erosion (70.7% transects; mean retreat 88.5 m), whereas accretion processes were dominant in the eastern sector. The findings underscore that large-scale industrial transformation of the coastline is a critical driver of concurrent habitat degradation and shoreline change in this vulnerable system, suggesting a probable causal link within the complex coastal dynamics.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101158"},"PeriodicalIF":5.6,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号