Environmental and Sustainability Indicators最新文献_第2页

Spatiotemporal characteristics of drought in the Southwest Karst Rocky desertification zone, 1992–2022 1992-2022年西南喀斯特石漠化区干旱时空特征

IF 5.6

Environmental and Sustainability Indicators Pub Date : 2026-06-01 Epub Date: 2026-02-06 DOI: 10.1016/j.indic.2026.101150

Hanqi Zhang , Rongjian Mo , Yanhua Mo , Rongping Li , Jiangming Ma

{"title":"Spatiotemporal characteristics of drought in the Southwest Karst Rocky desertification zone, 1992–2022","authors":"Hanqi Zhang , Rongjian Mo , Yanhua Mo , Rongping Li , Jiangming Ma","doi":"10.1016/j.indic.2026.101150","DOIUrl":"10.1016/j.indic.2026.101150","url":null,"abstract":"<div><div>Drought threatens ecosystem resilience in the fragile karst rocky desertification zone of Southwest China. Based on meteorological observations from 1992 to 2022, this study assessed drought dynamics using the Reconnaissance Drought Index (RDI), Standardized Precipitation Evapotranspiration Index (SPEI), and Standardized Precipitation Index (SPI), cross-validated against the Temperature Vegetation Dryness Index (TVDI) and disaster records from the Emergency Events Database (EM-DAT). The results indicate that: (1) While all indices identified major events including the 2009 severe drought, SPEI and RDI demonstrated higher sensitivity to warming-driven compound water deficits than SPI, suggesting that standard thresholds serve as a conservative ecological risk baseline; (2) Temporally, a pivotal regime shift around 2002 transitioned the region to a persistent water deficit phase driven by weakened moisture transport and potential evapotranspiration amplification, followed by heightened climatic instability with rapid drought and flood alternations in recent years; (3) Spatially, drought clustering in Eastern Yunnan, Southwestern Guizhou, and Western Guangxi overlaps with rocky desertification hotspots where the dual surface and subsurface hydrological structure exacerbates vulnerability; and (4) Seasonally, droughts concentrated in spring and autumn, disrupting critical phenological stages including regreening. These findings highlight the geological and climatic coupling mechanism, underscoring the need for process-based water regulation and restoration strategies in geologically constrained environments.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101150"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174272","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}

引用次数: 0

Coastal changes monitoring based on DSAS and LCM: implications for habitat management in the largest independent gas reserve in the world 基于DSAS和LCM的海岸变化监测：对世界上最大的独立天然气储量生境管理的影响

IF 5.6

Environmental and Sustainability Indicators Pub Date : 2026-06-01 Epub Date: 2026-01-31 DOI: 10.1016/j.indic.2026.101158

Bonyad Ahmadi , Maryam Naghdi , Mehdi Gholamalifard , Sayed Mahmud Ghasempouri

{"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":"2026-06-01","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}

引用次数: 0

A comprehensive classification of ecosystem resilience assessment methods: Frameworks, approaches, and models 生态系统恢复力评估方法的综合分类：框架、方法和模型

IF 5.6

Environmental and Sustainability Indicators Pub Date : 2026-06-01 Epub Date: 2026-01-03 DOI: 10.1016/j.indic.2026.101116

Sepehr Ghazinoory , Asieh Bakhtiar , Atiyeh Safardoust

{"title":"A comprehensive classification of ecosystem resilience assessment methods: Frameworks, approaches, and models","authors":"Sepehr Ghazinoory , Asieh Bakhtiar , Atiyeh Safardoust","doi":"10.1016/j.indic.2026.101116","DOIUrl":"10.1016/j.indic.2026.101116","url":null,"abstract":"<div><div>In the face of increasing human pressures on ecosystems, the selection and application of appropriate methods for assessing resilience are vital for effective decision-making and policymaking in both natural and social environments. Methods for evaluating resilience differ in various respects, and the main purpose of this study is to identify and classify different approaches to ecosystem resilience assessment for the purpose of analysis and comparison. To this end, a systematic literature review was conducted, identifying 589 studies, of which 98 articles were selected for analysis after refinement. The systematic analysis revealed that resilience assessment methods are highly diverse, with each method focusing on a particular dimension of resilience. To organize and analyze these methods, a well-established framework was employed, classifying them into three main categories: Frameworks (emphasizing structural and cyclical analysis of ecosystems), Models (using indicators and quantitative data to measure resilience dimensions), and Approaches (offering operational tools to guide managerial responses and rapid decision-making). This classification was subsequently applied to analyze an ecosystem, and the findings showed that understanding the distinctions and applications of each category enables the selection of appropriate tools. Such insights can be practically applied to the analysis, management, and policymaking of diverse ecosystems, contributing to improved policies, the design of operational programs, and the enhancement of ecosystem resilience.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101116"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025736","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}

引用次数: 0

Analysis of rural households’ livelihood vulnerability to natural-hazard risks in the Sile-Sago watershed, Southern Rift Valley Basin, Ethiopia 埃塞俄比亚南部裂谷盆地Sile-Sago流域农户生计对自然灾害风险的脆弱性分析

IF 5.6

Environmental and Sustainability Indicators Pub Date : 2026-06-01 Epub Date: 2026-01-12 DOI: 10.1016/j.indic.2026.101126

Asnake Boyana , Abiyot Legesse , Abera Uncha , Abren Gelaw

{"title":"Analysis of rural households’ livelihood vulnerability to natural-hazard risks in the Sile-Sago watershed, Southern Rift Valley Basin, Ethiopia","authors":"Asnake Boyana , Abiyot Legesse , Abera Uncha , Abren Gelaw","doi":"10.1016/j.indic.2026.101126","DOIUrl":"10.1016/j.indic.2026.101126","url":null,"abstract":"<div><div>In Ethiopia, natural hazard threats have an adverse effect on many livelihoods. However, the systematic assessment of rural household livelihood vulnerability to the threats is lacking in the Sile-Sago watershed, which the study seeks to address. A survey was conducted with 299 households chosen using systematic random sampling. The Livelihood Vulnerability-Intergovernmental Panel on Climate Change Indexes were utilized, with values ranging (0 (least to1 most vulnerable). The Livelihood Vulnerability Index for each district was developed using 14 essential components. The Livelihood Vulnerability Index for each district was derived from 14 essential components. The findings showed that Arba Minch Zuriya district, the lower parts of the watershed, was highly vulnerable to flood hazard risks, with indices of 0.73, 0.54, and 0.41 for adaptive capacity, exposure, and sensitivity factors, respectively. Geresse district, located in the watershed's highland agro-ecology, was highly vulnerable to landslide hazard risks, with the respective indices of 0.61, 0.60, and 0.55 for adaptive capacity, exposure and sensitivity. The <em>Zuriya</em> final vulnerability index is 0.22. The Geresse district's aggregate livelihood vulnerability index is 0.54. Plan to mitigate the livelihood vulnerability of households in the Geresse and Arba Minch <em>Zuriya</em> districts to landslide and flood hazards and enhance their resilience. The targeted interventions and collaborative plans should be developed, coordinating productive safety nets, food security, and agricultural offices across affected households, kebeles, districts, and local government administrations, and non-governmental organizations.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101126"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146015710","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}

引用次数: 0

Spatial-temporal patterns and influencing factors of Urban Low-carbon Resilience from a Comprehensive Green Transformation Perspective in different regions of China 综合绿色转型视角下中国不同区域城市低碳弹性时空格局及影响因素

IF 5.6

Environmental and Sustainability Indicators Pub Date : 2026-06-01 Epub Date: 2026-01-27 DOI: 10.1016/j.indic.2026.101147

Wenjie Chen , Yisong Yang , Zhu Xiao , Siqi Li

{"title":"Spatial-temporal patterns and influencing factors of Urban Low-carbon Resilience from a Comprehensive Green Transformation Perspective in different regions of China","authors":"Wenjie Chen , Yisong Yang , Zhu Xiao , Siqi Li","doi":"10.1016/j.indic.2026.101147","DOIUrl":"10.1016/j.indic.2026.101147","url":null,"abstract":"<div><div>The integration of carbon mitigation objectives with urban resilience building, to develop synergistic pathways that combine climate change Adaptability and mitigation, has emerged as a critical focus in global sustainable development discourse. Employing the entropy weight method, this study measures the Urban Low-carbon Resilience (LCR) of 203 prefecture-level cities in China from 2011 to 2023. It then systematically examines the spatial-temporal evolution and influencing factors of LCR and three subsystems both nationally and across seven geographical regions, utilizing kernel density estimation, exploratory spatial data analysis, and spatial Durbin models. The main findings are as follows: (1) The regional evolution of LCR in China shows a trend of differentiation; East China and North China are in the lead, while Northeast China and South China are lagging. For Defensive Resistance, the eastern coastal areas are dominant, and the spatial structure is \"scattered\". For Recovery Adaptability, the polarization of central cities in each region is prominent. For Transformative Regeneration, a diffusion effect from west to east is formed. (2) The agglomeration of LCR in China also shows a trend of differentiation. The gap in the level of LCR between the western region and the eastern and central regions is getting bigger and bigger. (3) Labor quality and Capital structure are the main factors affecting the LCR and Defensive Resistance in China's seven major geographical regions. Grounded in these findings, the study concludes by proposing region-specific policy strategies for enhancing LCR, offering targeted insights to supplement and refine current urban climate governance frameworks.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101147"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080955","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}

引用次数: 0

Global evidence on status, determinants, impact and barriers to adoption of agricultural carbon credits: A systematic literature review using bibliometric, TCCM and ADO framework 关于农业碳信用的现状、决定因素、影响和障碍的全球证据：使用文献计量学、TCCM和ADO框架的系统文献综述

IF 5.6

Environmental and Sustainability Indicators Pub Date : 2026-06-01 Epub Date: 2026-02-02 DOI: 10.1016/j.indic.2026.101156

Gnana Xavier J , Kanagaraj Mohanraj , Tamilarasu Arivelarasan

{"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":"2026-06-01","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}

引用次数: 0

KPIs as catalyst for energy-efficient building renovation under EU regulations kpi作为欧盟法规下节能建筑改造的催化剂

IF 5.6

Environmental and Sustainability Indicators Pub Date : 2026-06-01 Epub Date: 2026-02-03 DOI: 10.1016/j.indic.2026.101162

Beatrice Bartolucci , Francesca Frasca , Chiara Bertolin , Anna Maria Siani

{"title":"KPIs as catalyst for energy-efficient building renovation under EU regulations","authors":"Beatrice Bartolucci , Francesca Frasca , Chiara Bertolin , Anna Maria Siani","doi":"10.1016/j.indic.2026.101162","DOIUrl":"10.1016/j.indic.2026.101162","url":null,"abstract":"<div><div>In a time where sustainability is paramount, evaluating and optimizing energy retrofit projects in historic buildings is essential. This study introduces Key Performance Indicators (KPIs) as part of a new Life Cycle Assessment methodology aimed at achieving net-zero energy renovations. The integration process offers actionable insights and a structured framework for stakeholders to evaluate sustainable renovation choices, encompassing several steps: deriving KPIs from preliminary analysis, organizing them within the PESTEL framework, and creating equations for quantitative KPIs. The last step aligns KPI development with the Life Cycle Assessment targeted at nearly Zero Emission Renovation methodology, improving its adaptability across various economic contexts. However, differences in local socio-political conditions may emerge, highlighting the need for additional research on how Indicators can vary by project location. Qualitative Indicators pertain to Political and Social dimensions, whereas quantitative ones involve specific measurement units. This review paper underscores the relationship between KPIs and the methodology, illustrating how they can be identified or calculated at different renovation phases, such as component selection and overall environmental impact. The established Indicators could assist in updating the European Standard EN 16883:2017, addressing energy renovation challenges for historic structures. An improved standard could provide clear guidelines, balancing conservation efforts with sustainability while fostering collaboration among stakeholders, implementing the methodological framework of Monitoring, Evaluating and Learning (MEL).</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101162"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174458","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}

引用次数: 0

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 结合卫星和农场收集的数据来评估家庭可可生产系统的生态系统功能：来自厄瓜多尔Abras de Mantequilla Ramsar站点的案例研究

IF 5.6

Environmental and Sustainability Indicators Pub Date : 2026-06-01 Epub Date: 2026-02-02 DOI: 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

{"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":"2026-06-01","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}

引用次数: 0

Integrated methods for marine ecosystem physical accounting 海洋生态系统物理核算的综合方法

IF 5.6

Environmental and Sustainability Indicators Pub Date : 2026-06-01 Epub Date: 2026-02-03 DOI: 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

{"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":"2026-06-01","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}

引用次数: 0

Do conditional monetary incentives drive behavioral changes and reduce greenhouse gas emissions in rice production? Evidence from a field experiment in the Mekong Delta, Vietnam 有条件的货币激励是否能推动行为改变并减少水稻生产中的温室气体排放？来自越南湄公河三角洲实地试验的证据

IF 5.6

Environmental and Sustainability Indicators Pub Date : 2026-06-01 Epub Date: 2026-02-11 DOI: 10.1016/j.indic.2026.101178

Ong Quoc Cuong , Trang Vu , Ly Trung Nguyen , Nguyen Bao Tran , Bjoern Ole Sander , Katherine M. Nelson

{"title":"Do conditional monetary incentives drive behavioral changes and reduce greenhouse gas emissions in rice production? Evidence from a field experiment in the Mekong Delta, Vietnam","authors":"Ong Quoc Cuong , Trang Vu , Ly Trung Nguyen , Nguyen Bao Tran , Bjoern Ole Sander , Katherine M. Nelson","doi":"10.1016/j.indic.2026.101178","DOIUrl":"10.1016/j.indic.2026.101178","url":null,"abstract":"<div><div>Rice production is a major contributor to greenhouse gas (GHG) emissions. Reducing GHG emissions in this sector is essential for achieving the climate targets. However, little is known about the effectiveness of monetary incentives for promoting low-emission practices. This study investigated whether conditional monetary incentives could drive behavioral changes and GHG emission reductions among rice farmers in the Mekong Delta, Vietnam. A field experiment was conducted with 200 farmers, applying difference-in-differences regression and inverse-probability-weighted regression adjustment models alongside behavioral indicators, namely, a change scale and a best practice scale. The results showed that monetary incentives had a limited effect on reducing GHG emissions as no statistically significant differences were observed between the treatment and control groups. However, moderate improvements were observed in low-emission practices, such as reducing the seed rate, nitrogen fertilizer, and pesticide spraying within the treatment group. The findings suggest that incentive-based programs should be combined with technical support, local stakeholder engagement, behavioral nudges, and robust monitoring systems. This study provides valuable insights into the limitations and design considerations of incentive interventions for low-emission rice production.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101178"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174194","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}

引用次数: 0