Environmental and Sustainability Indicators最新文献

{"title":"An integrated multi-model approach reveals the nonlinear driving mechanisms of the ecosystem services supply-demand balance: Towards sustainable ecological management","authors":"Xiaobao Wang ,&nbsp;Xiaoqing Zhao ,&nbsp;Canfei He ,&nbsp;Pei Huang ,&nbsp;Yuju Ran ,&nbsp;Xianmin Ye ,&nbsp;Yuqin Zhou ,&nbsp;Beihao Wu ,&nbsp;Guoxun Qu","doi":"10.1016/j.indic.2025.101058","DOIUrl":"10.1016/j.indic.2025.101058","url":null,"abstract":"<div><div>Exploring the nonlinear relationship and threshold between the ecosystem services (ESs) supply-demand balance and key driving factors and revealing their intrinsic mechanism is crucial for coordinating the ESs supply-demand balance and formulating sustainable management strategies. Accordingly, taking Honghe Prefecture (HHP) as an example. This study constructed a comprehensive methodological framework to comprehensively explain the nonlinear driving mechanism of ESs supply-demand balance. The research results show that: (1) From 2000 to 2020, the six ESs supply was more significant than the demand, showing a balanced state overall, but the spatial distribution differences were significant. (2) Comparing the simulation prediction results of the linear model and the machine learning (ML) model, the nonlinear machine learning models are better than the linear models, and the XGBoost has the best fitting effect. (3) The nonlinear coupling process between key driving factors and the ESs supply-demand balance was visualized through partial dependence plots (PDPs), and the optimal threshold range of key driving factors was obtained. (4) Socio-economic, landscape composition, and topographic drivers negatively impact the ESs supply-demand balance, while climate drivers positively affect ESs supply-demand. This framework has strong applicability and scalability, and can provide references for ESs Management in other regions worldwide.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101058"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693179","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":"Decoupling research of tourism economic efficiency and tourism transport carbon intensity in Yangtze River Delta urban agglomeration","authors":"Yushu Qin ,&nbsp;Hongtao Li","doi":"10.1016/j.indic.2025.101027","DOIUrl":"10.1016/j.indic.2025.101027","url":null,"abstract":"<div><div>This study examines whether carbon intensity in tourism transport is decoupling from improvements in tourism economic efficiency within the context of regional transportation–tourism integration. Using the Yangtze River Delta urban agglomeration as a case study, we apply the Tapio decoupling model to quantify decoupling coefficients, classify decoupling types, and trace their spatiotemporal evolution. Spatial autocorrelation and dynamic diffusion trends are further explored using ESDA and spatial kernel density methods. The geographic detector is employed to identify key factors shaping decoupling patterns. Results show that: (1) Temporally, the number of strong decoupled cities in the urban agglomeration gradually increases; while spatially, the strong decoupled areas tend to concentrate in the southwest and southeast directions. (2) Decoupling patterns are spatially polarized and path dependent, rather than evenly spread across the region. (3) Spatiotemporal factors significantly contribute to the upward convergence of the decoupling effect in urban agglomeration. (4) The level of integration not only serves as the primary factor influencing the decoupling effect but also exhibits significant explanatory power in its interaction with other influencing factors. These findings contribute to the understanding of low-carbon tourism transitions at the urban-agglomeration scale and provide actionable insights for advancing sustainable, high-quality tourism development.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101027"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925502","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":"Design flows and security tradeoffs in the lower Mekong basin","authors":"Joseph Holway,&nbsp;Qi Deng,&nbsp;John Sabo","doi":"10.1016/j.indic.2025.101092","DOIUrl":"10.1016/j.indic.2025.101092","url":null,"abstract":"<div><div>Lotic environments support the food security of hundreds of millions globally, yet tradeoffs among freshwater-dependent food systems remain poorly understood. In the Lower Mekong Basin, where rice and fish production systems are highly heterogeneous, we modeled harvest outcomes using multivariate autoregressive state-space (MARSS) models and flood magnitude as a key driver, measured by the High Seasonal Amplitude Metric (HSAM). High HSAM values (0.5) positively affected floodplain (FP) fish catch and Ca' Mau rice harvests, while moderate val-ues (0.1) had negative effects. In contrast, Dai fish catch and Cambodian rice harvest responded positively to moderate HSAM values but negatively to high values. Based on these patterns, we engineered four flow regimes optimized for each system. Forecasts over 10 years showed that each engineered hydrograph increased harvest for its target system. Some tradeoffs emerged: the FP hydrograph boosted FP fish catch and Ca' Mau rice but reduced Dai fish and Cambodian rice; the Cambodian rice hydrograph showed the reverse. Alternating between high and mod-erate HSAM values mitigated risk to individual systems, improving FP fish catch while having mixed or neutral effects elsewhere. Setting HSAM at 0.19 stabilized production across all four systems, balancing tradeoffs and maintaining current yields. These results highlight the potential to deliberately manage hydrologic regimes to co-optimize food production systems. Expanding hydrologic objectives beyond power generation is essential for sustaining ecosystem services, maintaining regional food security, and staying within planetary boundaries.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101092"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925572","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":"Water-energy-food-GHG nexus-based optimization of irrigation and nitrogen strategies for sustainable intensification of Indian mustard in hot arid region of India","authors":"Vijay Singh Rathore ,&nbsp;Narayan Singh Nathawat ,&nbsp;Ravindra Singh Shekhawat ,&nbsp;Bhagirath Mal Yadav ,&nbsp;Dinesh Kumar ,&nbsp;Mahesh Kumar ,&nbsp;Banwari Lal ,&nbsp;Priyanka Gautam","doi":"10.1016/j.indic.2025.101055","DOIUrl":"10.1016/j.indic.2025.101055","url":null,"abstract":"<div><div>Water, energy, food, and environment are strongly interconnected in agricultural systems, and understanding these linkages is essential for sustainable crop production. This study evaluated the inter-linkage among water-energy-food-greenhouse gas (WEFG) dimensions in Indian mustard under varying irrigation, nitrogen (N) rates and bio-regulator (BR) application using WEFG framework to identify resource-efficient and environmentally-sound management practices. A three-year field experiment was conducted in arid region of India with three irrigation levels [full (FI, 100 % ETc), moderate deficit (MDI, 70 % ETc), severe deficit (SDI, 40 % ETc)], three N rates (40, 80, 120 kg N ha⁻¹), and three BR treatments [without BR, thiourea (500 ppm), salicylic acid (0.5 mM)]. Water and energy use, yield, profitability, resource-use efficiency and CO₂-eq emissions were quantified and integrated through WEFG Nexus Index (WEFGNI). Irrigation accounted for 95 % of water and 37–66 % of energy use. FI produced highest yield but substantially increased water/energy use and emissions, while SDI reduced resource consumption and emissions but caused substantial yield/profit losses. MDI reduced water (∼25 %) and energy (20–40 %) consumption with negligible yield loss (≤4 %), achieving higher resource use efficiencies. Higher N rates under FI and MDI enhanced yield/profitability but also enhanced emissions, while BR application enhanced productivity, profitability and efficiency particularly under MDI and SDI. The combination of MDI, 120 kg N ha⁻¹, and BR application achieved highest WEFGNI, indicating optimal balance among productivity, efficiency and environmental performance. The WEFG framework effectively capture trade-offs and synergies across nexus dimensions, offering a tool to guide sustainable crop management strategies aligned with the SDGs.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101055"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145651785","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":"Identification of ecosystem service bundles and social-ecological driving factors in the Poyang Lake Basin, China","authors":"Yiming Wang ,&nbsp;Zengxin Zhang ,&nbsp;Xi Chen","doi":"10.1016/j.indic.2025.101095","DOIUrl":"10.1016/j.indic.2025.101095","url":null,"abstract":"<div><div>A comprehensive understanding of the relationships between ecosystem services (ESs) and their social-ecological driving factors is the foundation for sustainable ecosystem management. Taking the Poyang Lake basin as the study area, this study first evaluated and mapped six ESs, namely carbon storage (CS), habitat quality (HQ), water yield (WY), water purification (WP), soil conservation (SC), and food production (FP). Then, the Spearman correlation was used to explore the relationships between ESs, and the Self-organizing map (SOM) was used to explore ecosystem service bundles (ESBs). Finally, the geographical detector was used to quantify the impacts of social-ecological drivers on ESs. The results showed that: (1) Strong Synergies were observed among regulation services (WP, SC, and CS) and supporting services (HQ) (e.g., WP-HQ: r = 0.91). Meanwhile, a synergy was found between provisioning services (WY and FP). In contrast, pronounced trade-offs existed between provisioning services and regulation services (WP, SC, and CS) or supporting services (HQ) (e.g., FP-WP: r = −0.90), except for the relationship between WY and SC. (2) WY, SC, and CS are dominated by climatic factors, terrain factors, and socioeconomic factors, respectively. WP, HQ, and FP are dominated by socioeconomic factors and terrain factors. (3) The basin can be clustered into six ESBs, and we proposed targeted ecosystem management strategies for each ESB based on their characteristics. This study provides scientific references for the management and optimization of ecosystems in the Poyang Lake basin.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101095"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145797826","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":"Soil nematodes as bioindicators of agricultural management practices: Insights from bibliometric analysis","authors":"Haotian Chen ,&nbsp;Xiaoyu Shi ,&nbsp;Hao Yang ,&nbsp;Xinyi Wang ,&nbsp;Haoruo Li","doi":"10.1016/j.indic.2026.101123","DOIUrl":"10.1016/j.indic.2026.101123","url":null,"abstract":"<div><div>Soil nematodes have established themselves as powerful bioindicators for assessing soil health and ecosystem functioning in agricultural systems. Despite extensive research linking nematode communities to agricultural management practices such as tillage, crop rotation, and organic amendment, a global synthesis of research trends is lacking. This study conducted a bibliometric analysis of 2730 articles published between 1991 and 2024 to identify research hotspots and thematic evolution. Results revealed a steady increase in publications, with a marked statistical inflection in 2009 signaling a shift from exploratory to mature research phases. Organic amendments dominated the literature, accounting for over 60 % of studies, likely because they align with multiple sustainability agendas and benefit from long-term trial availability, whereas tillage and crop diversification were less represented. The United States and China were identified as the most productive contributors, with rapidly expanding international collaborations. Co-citation analysis revealed the central role of ecological indices and underscored a sustained research focus on root-knot nematodes (<em>Meloidogyne spp.</em>), a prioritization driven by their substantial impact on crop productivity. Emerging research increasingly emphasizes functional and metabolic footprints as integrative measures of soil food web functioning. Overall, substantial progress has been made in developing nematode-based ecological frameworks for soil health assessment. Translating these advances into robust field applications hinges on the enhanced collaboration among stakeholders to standardize methods and integrate nematode with key soil and environmental covariates.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101123"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938496","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 ,&nbsp;Saifur Rahman ,&nbsp;Rojina Akter ,&nbsp;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}

{"title":"Trading emissions, shaping ambitions: Understanding what drives carbon market intentions in Vietnam","authors":"Ngo Thanh Mai,&nbsp;Dinh Duc Truong,&nbsp;Le Huy Huan,&nbsp;Duong Duc Tam","doi":"10.1016/j.indic.2025.101110","DOIUrl":"10.1016/j.indic.2025.101110","url":null,"abstract":"<div><div>As carbon markets emerge as critical instruments in climate policy, understanding what drives corporate participation becomes essential, particularly in developing countries undergoing regulatory transformation. This study investigates the determinants of carbon market participation intention among emission-intensive enterprises in Vietnam, a fast-growing economy establishing its domestic carbon trading scheme. Grounded in the Technology - Organization - Environment framework and Institutional Theory, the research develops a conceptual model encompassing technological perceptions, organizational readiness, and institutional pressures. The study also examines the mediating role of firms’ attitude toward carbon markets and the moderating effects of government support and industry association engagement. A structured survey of 338 enterprises across six high-emitting sectors was conducted. Data were analyzed using PLS-SEM. The results reveal that seven factors significantly influence carbon market participation intention, with perceived economic benefits, regulatory pressure, and reputation concern emerging as the most influential predictors. Attitude mediates several key relationships, particularly those involving economic, institutional, and cognitive factors. Furthermore, both government support and industry association engagement significantly moderate firm behavior, enhancing participation intentions under favorable institutional conditions. This study offers empirical evidence on the behavioral and institutional enablers of carbon market participation in the Global South. It contributes to the literature by integrating Technology - Organization - Environment and Institutional Theory frameworks in the context of carbon pricing and provides practical recommendations for regulators, industry associations, and enterprises. By highlighting both the opportunities and challenges firms face, the study informs the design of inclusive, context-specific carbon market policies aimed at accelerating private sector engagement in climate mitigation.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101110"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976930","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":"Nature-based health initiatives: A governance assessment tool based on indicators","authors":"Alessandra Rigo,&nbsp;Laura Secco,&nbsp;Elena Pisani","doi":"10.1016/j.indic.2025.101085","DOIUrl":"10.1016/j.indic.2025.101085","url":null,"abstract":"<div><div>Nature-based health initiatives (NbHIs) are emerging as innovative approaches to promoting human well-being and environmental sustainability. However, a standardised method to evaluate the multi-actor, multi-level, and multi-sector governance required for their implementation is lacking. This study addresses this gap by presenting an evaluation tool empirically tested through a multi-case study involving three NbHIs at different stages of development in North-Eastern Italy. Data were collected through 20 in-depth structured interviews with experts and 27 online questionnaires completed by the initiative participants. A total of 152 governance indicators were derived and hierarchically aggregated into a composite index, designed to capture the multidimensional and context-sensitive nature of NbHI governance, based on a purpose-built conceptual framework. The findings highlight that overall governance performance does not align uniformly across all dimensions and components of the framework. This variability is shaped by governance-related and contextual factors, such as the composition of the actor network and the maturity stage of each initiative. The proposed methodology provides a practical and adaptable tool for monitoring and evaluating the governance of NbHIs, helping to identify strengths and weaknesses and offering guidance for targeted improvements. It enhances understanding of how these initiatives can generate meaningful environmental and health outcomes through stronger cross-sectoral collaboration, providing evidence to support their integration into both health and environmental policy agendas. Finally, the study illustrates the application of the tool by offering case-specific recommendations and actionable insights for practitioners involved in the design and implementation of NbHIs.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101085"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145797883","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":"Assessing the spatio-temporal impacts of digital economy drivers on carbon emission intensity: An interactive geographically and temporally weighted regression framework","authors":"Huiqing Dai ,&nbsp;Luanyun Hu ,&nbsp;Xiaoye Zhu ,&nbsp;Panyue Zhang ,&nbsp;Yuwei Wang ,&nbsp;Xiaoling Guo","doi":"10.1016/j.indic.2025.101104","DOIUrl":"10.1016/j.indic.2025.101104","url":null,"abstract":"<div><div>This study aims to precisely quantify the spatio-temporal impacts of specific digital economy (DE) drivers and their interactions on carbon emission intensity (CEI) across China. Utilizing a panel dataset from 30 Chinese provinces (2011–2022), this study first constructs a comprehensive composite digital economy index. The core of the methodology is a novel interactive geographically and temporally weighted regression model, which integrates interaction factors identified by the optimal parameter geographical detector into the geographically and temporally weighted regression model. The results indicate that (1) Among DE driving factors, software business revenue and enterprise R&amp;D expenditure intensity exert the strongest explanatory power on CEI. (2) Interactions between DE driving factors augment their individual effects, with the interaction between proportion of digital industry employees and per capita telecommunication business volume exhibiting the strongest explanatory power. (3) The impacts of DE driving factors and their interactions on CEI exhibit pronounced spatial heterogeneity. Interactions between factors induce nonlinear changes in their individual effects, mainly reflected in the direction, intensity, and spatial scope of their impacts on CEI. These findings provide critical and actionable insights for designing regionally differentiated policies, enabling policymakers to harness the synergistic potential of the digital economy for targeted carbon mitigation, thereby supporting the achievement of China's “Dual Carbon” goals.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101104"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976977","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}