Environmental and Sustainability Indicators最新文献

{"title":"The power of a biocentric view: Ecological worldviews as a key driver of subjective well-being for residents near nature reserves","authors":"Zhao Jinyu ,&nbsp;Sa Na ,&nbsp;Kou Xuyang ,&nbsp;Cao Yuexuan ,&nbsp;Lu Zhaohua ,&nbsp;Sang Weiguo","doi":"10.1016/j.indic.2026.101148","DOIUrl":"10.1016/j.indic.2026.101148","url":null,"abstract":"<div><div>Enhancing subjective well-being (SWB) is central to sustainable development, yet the psychological mechanisms linking ecological worldviews to SWB in conservation contexts remain underexplored. This study investigates how the New Ecological Paradigm (NEP)—a measure of biocentric worldview—shapes residents’ perceptions of ecosystem services (ES) and influences SWB in Dailing Town, a community adjacent to Liangshui National Nature Reserve in China. Using a mixed-methods approach combining Structural Equation Modeling (SEM) and Canonical Correspondence Analysis (CCA) with survey data from 169 residents, we find that: (1) SWB is highest in the health dimension but lowest in social relations, with specific deficits in transportation, water quality, and employment conditions; (2) NEP is the strongest predictor of SWB, exerting both direct effects and indirect effects mediated by enhanced ES perceptions; (3) ES preferences are segmented by socioeconomic and demographic factors: older, land-dependent residents prioritize cultural services (e.g., recreation, aesthetics), whereas younger, non-land-based residents value tangible provisioning and regulating services. These findings underscore the critical role of ecological worldviews in shaping well-being and highlight the need for targeted policies that integrate ecological education, social infrastructure, and differentiated livelihood strategies to foster synergistic human-nature outcomes in protected area communities.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101148"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080954","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":"Ecological lens on prioritizing water security at sub-watershed level using Pressure-State-Response model and Ordinal Priority","authors":"Mohammad Tavosi ,&nbsp;Mehdi Vafakhah ,&nbsp;Seyed Hamidreza Sadeghi ,&nbsp;Sayed M. Bateni","doi":"10.1016/j.indic.2026.101139","DOIUrl":"10.1016/j.indic.2026.101139","url":null,"abstract":"<div><div>Amid growing water crises, climate change, and intensified human activities, there is an urgent need to assess water conditions from an ecological perspective. This study evaluated Water Security with an Ecological Lens (WSEL) in the Gorganrud watershed using advanced models at a semi-distributed scale. The Gorganrud watershed is a strategic watershed in northeastern Iran facing critical challenges like drought, water scarcity, floods, and sedimentation. After conceptualizing and quantifying WSEL criteria and testing their collinearity through the Variance Inflation Factor (VIF) method, two approaches the Pressure-State-Response (PSR) model and the Ordinal Prioritization Approach (OPA) were employed and compared. The results of the study showed that the WSEL status was unevenly distributed among the sub-watersheds; some areas were in a critical state and required special management, while others showed successful performance despite the pressures to improve the status. Therefore, the adoption of smart management strategies, such as regulating water consumption in agriculture and implementing innovative cultivation techniques, could further enhance water security. The PSR model, aligning closely with field data, estimated the watershed's average WSEL at 0.42, while the OPA model indicated a more critical status with a mean of 0.3. The difference stemmed from the PSR model's integrated analysis of pressure, state, and response factors. Both models identified sub-watershed 6, located in the eastern part of the watershed, as low security (WSEL less than 0.05) and in need of immediate intervention. Overall, the integrated analytical approach provided an effective tool for sustainable water resource management at local and regional levels.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101139"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081043","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":"Future climate change will facilitate the distribution expansion of the rare and endangered Platycrater arguta","authors":"Lei Feng ,&nbsp;Haoyu Wang ,&nbsp;Jiahuan Guo ,&nbsp;Xule Zhang ,&nbsp;Xiaohua Ma ,&nbsp;Yaping Hu ,&nbsp;Difei Wu ,&nbsp;Qingdi Hu ,&nbsp;Jian Zheng","doi":"10.1016/j.indic.2026.101128","DOIUrl":"10.1016/j.indic.2026.101128","url":null,"abstract":"<div><div><em>Platycrater arguta</em>, an endangered shrub endemic to China subtropical montane forests, plays a key role in regional biodiversity. However, the potential impacts of climate change on its suitable habitat remain unclear. This study employs ensemble modeling to predict the species' distribution under current and future climate scenarios (2050s, 2070s, 2090s) across three SSPs (SSP126, SSP245, SSP585). Annual precipitation (BIO12), and UV-B radiation (UVB4) were identified as dominant environmental drivers. Currently, core suitable habitats are concentrated in Zhejiang, Fujian, and Jiangxi, covering approximately 6.72 × 10⁴ km². Predicted expansion peaks under SSP585 (2070s), followed by SSP245 (2090s), SSP585 (2090s) and SSP126 (2070s). Future core distribution areas are expected to shift northwestward toward the Jiangxi-Hunan border, a region with complex topography. We recommend prioritizing this zone for conservation, establishing ecological corridors, and enhancing ex situ conservation under SSP126. To improve predictive accuracy, future work should incorporate finer-scale regional climate data and field monitoring. Notably, this study is the first to quantify <em>P. arguta</em> sensitivity thresholds to precipitation and UVB radiation, offering a reference model for conserving other subtropical endangered plants.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101128"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976929","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":"Spatiotemporal evolution, driving factors, and future projections of China’s multiple environmental footprints under Shared Socioeconomic Pathways","authors":"Qi Huang ,&nbsp;Zhipeng Li ,&nbsp;Jianxiao Zhu ,&nbsp;Yuxuan Jin ,&nbsp;Zhen Zhang ,&nbsp;Pengdong Yan ,&nbsp;Ziheng Li","doi":"10.1016/j.indic.2026.101124","DOIUrl":"10.1016/j.indic.2026.101124","url":null,"abstract":"<div><div>Recent decades have experienced swift economic growth in China, resulting ecological and environmental challenges of variable severity. However, understanding long-term trends in environmental footprints at the province level from both historical and prospective viewpoints continue to pose a challenge. This study examines three environmental footprint indicators (ecological-carbon-water footprints) across 30 provinces in China from 2000 to 2020, employing the fixed effects-based STIRPAT model and Shared Socioeconomic Pathways (SSPs) framework to investigate their driving forces and forecast long-term trajectories. The findings reveal significant spatial heterogeneity in environmental footprints, with the eastern coastal regions exhibiting markedly elevated values compared to other areas. Meanwhile, ecological and carbon footprints exhibited the most rapid expansion in the western regions, leading to a westward shift in their spatial center of gravity. This is primarily owing to the increase in environmental footprints in underdeveloped regions, driven by demographic and economic growth, although technological advancements have partially mitigated this trend. Moreover, the eastern coastal regions are under significant environmental pressure, and a declining coupling coordination degree between the environmental and economic systems may further exacerbate this pressure in the near term. Scenario analysis indicates that SSP1 represents the most effective pathway, achieving a reduction of roughly 25.2 %–77.1 % in environmental footprints by year 2100.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101124"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976924","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":"Climate-resilient groundwater potential zoning and intervention planning in the Nira River basin using ensemble machine learning, AHP, and CMIP6 scenarios","authors":"Kritagya Kumar Singh Tomar ,&nbsp;Pandurang Choudhari ,&nbsp;Aqil Tariq ,&nbsp;Ankush Kumar ,&nbsp;Shiv Mihu ,&nbsp;Venaktesan Madha Suresh ,&nbsp;Pankaj Kumar ,&nbsp;Santosh M. Pingale","doi":"10.1016/j.indic.2025.101050","DOIUrl":"10.1016/j.indic.2025.101050","url":null,"abstract":"<div><div>This research proposes a data-based, climate-resilient approach for identifying Groundwater Potential Zones (GPZs) in the semi-arid Nira River Basin (NRB) in the western region of Maharashtra (India). This study addresses the major challenge of unsustainable groundwater extraction exacerbated by hydro-climatic uncertainty and anthropogenic pressures. The present research examines long-term climatic trends for historic data (1950–2014) and projection data (2015–2100) based on Coupled Model Intercomparison Project Phase 6 (CMIP6) projections according to the Shared Socio-economic Pathways 2 (SSP2) 4.5 scenario. It reports an increase in temperature coupled with minor changes in rainfall, resulting in increased aridity over the NRB. Further, the present research applied an ensemble machine learning (ML) modeling strategy that combines Artificial Neural Networks (ANN), eXtreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (Light GBM). The XGBoost model showed better predictive performance (AUC = 0.97), identifying rainfall as the most dominant factor, followed by elevation and land surface temperature (LST). The models' robustness was validated based on observed groundwater well data (2023). Prioritization of the most important factors for the identification of water-stressed regions (412.65 km²) was executed using the Analytical Hierarchy Process (AHP). The Consistency Ratio (CR) was determined to be 0.09, indicating an acceptable consistency level and enabling strategic decision support for long-term water security. The 81 precise locations were determined through the spatial intersection in the water-stressed areas, where the groundwater management interventions would be applied. These sites serve as the foundation for a scalable framework aimed at promoting sustainable groundwater management in study regions.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101050"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145797873","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":"Factors that are strongly causal to NPP across diverse climate regions in China","authors":"Kaizhi Liu,&nbsp;Lianghui Tian,&nbsp;Weilin Wang,&nbsp;Yuanyuan Meng,&nbsp;Liangxia Duan,&nbsp;Hongxia Xie","doi":"10.1016/j.indic.2025.101033","DOIUrl":"10.1016/j.indic.2025.101033","url":null,"abstract":"<div><div>While Net Primary Productivity (NPP) driving mechanisms have been widely studied through correlation analysis, precisely quantifying causal relationships remains challenging. This study investigates causal effects of climatic and topographic factors on NPP across five Chinese climatic regions using Geographic Convergent Cross Mapping (GCCM). Our results reveal several strong-causality-yet-weak-correlation patterns: terrain relief with NPP in SE and NE China; DEM in SW and SE China; and sunshine radiation in SW and SE China. Crucially, we identify optimal operative intervals for these causal factors: DEM (511–607 m), terrain relief (22–128 m), temperature (16.2–18.1 °C), and sunshine radiation (1.24–1.36 × 10^7 J/m²). By integrating GCCM with Geodetector analysis, we further uncover the underlying mechanisms, demonstrating topography's role as an integrator in ecosystem processes. These insights provide valuable scientific support for optimizing NPP modeling parameters and formulating regional ecological restoration strategies.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101033"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145748871","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":"Spatio-temporal evolution and driving mechanisms of rural resilience under ecological protection policies: A multi-scale analysis of technology-governance synergy in the Changsha-Zhuzhou-Xiangtan Green Heart, China","authors":"Ping Zhang ,&nbsp;Xuyang Yi ,&nbsp;Hanwu Yu ,&nbsp;Ting Li ,&nbsp;Yan Mao","doi":"10.1016/j.indic.2025.101091","DOIUrl":"10.1016/j.indic.2025.101091","url":null,"abstract":"<div><div>Exploring the dynamic evolution of rural resilience and its influencing factors in the background of ecological protection policies is of great significance for promoting comprehensive rural revitalization and achieving sustainable rural development in ecologically sensitive areas. This study takes 119 villages in 25 towns of the Changsha-Zhuzhou-Xiangtan Green Heart Area as the research objects, constructs a four-dimensional evaluation system of \"economy-society-ecology -governance\" based on the theoretical framework of \"ecological protection policy-rural resilience,\" and analyzes the spatiotemporal evolution and driving factors of rural resilience under the impetus of ecological protection policies from 2003 to 2023. The study found: (1) Resilience exhibits the characteristics of a \"three-stage leap-spatial bipolar reorganization,\" with the composite index rising from 0.127 to 0.428, and the spatial pattern shifting from a \"central single-core\" to a \"northeast-southwest bipolar high-value\" configuration, with smart agriculture coverage and village-level autonomous decision-making as the core driving forces; (2) The driving mechanism has undergone a transition from dependence on cultivated land resources, to technological penetration, and finally to technology-governance synergy, where, during the policy deepening period, technology penetration and governance decentralization formed a closed loop of \"ecological restoration-industrial upgrading\"; (3) Regional differences stem from the binary contradiction of \"inter-city polarization-peripheral activation,\" with Changsha's siphon effect causing a resilience gradient gap of 0.27, while ecological protection policies, through spatial reorganization, increased the hypervariability density to 40.2 %, indicating that the traditional block-style governance framework of \"three separate cities in Changsha-Zhuzhou-Xiangtan \" has weakened, effectively activating the spatial interaction capacity of peripheral areas.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101091"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938418","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":"Cultural ecosystem benefits mediate the impact of environmental quality of treetop trails on perceived health benefits","authors":"Wei Zhou ,&nbsp;Shaozhen Fan ,&nbsp;Yuanjing Wu ,&nbsp;Xin Wang ,&nbsp;Guangyu Wang ,&nbsp;Siren Lan","doi":"10.1016/j.indic.2026.101122","DOIUrl":"10.1016/j.indic.2026.101122","url":null,"abstract":"<div><div>Understanding how urban forest trail environments contribute to visitors’ health through cultural ecosystem benefits (CEBs) is essential for integrating human well-being into urban forest management. However, empirical evidence remains limited, particularly for treetop trails, which are underrepresented in the literature. This study investigates how environmental quality perception (EQP) influences perceived health benefits (PHBs), with CEBs conceptualized as key mediating variables. A field survey was conducted at the Fu Forest Trail in Fuzhou, Fujian Province, China, yielding 445 valid questionnaires. Structural equation modeling was employed to examine the direct and indirect pathways linking EQP, CEBs, and PHBs. The results show that high-quality treetop trail environments significantly enhance CEBs across the identity, experience, and capability dimensions. Among these, the identity dimension exerted positive effects on both experience and capability. Mediation analyses further revealed that identity and experience played significant parallel mediating roles between EQP and PHBs, whereas the mediating effect of capability was relatively weaker. In addition, a sequential mediation pathway was identified, in which EQP influenced PHBs through an identity-driven experiential process. Overall, the findings highlight the pivotal role of CEBs in translating environmental quality into health outcomes and underscore the importance of prioritizing identity- and experience-oriented benefits in the planning and management of urban treetop trails to better support public health.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101122"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925422","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":"A multi-criteria decision analysis method for sustainability improvement of the hydropower megaproject system","authors":"Peiran Jing ,&nbsp;Linlin Fan ,&nbsp;Lidan Guo ,&nbsp;Chenchen Wei ,&nbsp;Jinbao Sheng ,&nbsp;Kai Dong ,&nbsp;Rui Zhu ,&nbsp;Yong Liu ,&nbsp;Qinyuan Li","doi":"10.1016/j.indic.2025.101106","DOIUrl":"10.1016/j.indic.2025.101106","url":null,"abstract":"<div><div>The sustainable development of the hydropower megaproject (HM) is a vital component of watershed sustainable water resources management. Multiple measures should be taken to enhance the HM system's overall performance and sustainability when environmental changes disrupt it. Hence, making scientific and applicable decisions on various measures to improve the HM system's sustainability is a critical and complex problem. This study proposed a novel multi-criteria decision analysis method for sustainability improvement (MCDA-SI) of the HM system. The MCDA-SI method develops the multi-criteria evaluation indicator system, the Cloud-EM-AHP weight solution model, the comprehensive development index (CDI) model, and the coupling coordination degree (CCD) model. The Three Gorges Project (TGP) is selected as a case study, and the key measure to improve the TGP system's sustainability is determined. The results showed that from 2003 to 2023, the CDI of the TGP rose from 0.40 to 0.61, and the CCD indicated a fluctuating increasing trend with a mean value of 0.42, revealing that the TGP system's comprehensive development level and coupling coordination development degree are gradually improving. The sustainability assessment results indicate that the critical factors influencing the TGP system's sustainable coordinated development are flood control safety, resettlement compensation, biodiversity protection, and prevention of water pollution. The multi-criteria decision analysis results illustrated that optimizing the TGP's scheduling, operation, and management is the most effective measure for enhancing the system's sustainability, which aligns with the TGP's actual state. Compared to traditional MCDA technology for hydropower and reservoirs, this study integrates Cloud-EM-AHP, CDI, and CCD within a unified MCDA-SI model framework to enhance the applicability of the MCDA method in sustainable hydropower assessment and decision-making. Meanwhile, the novel MCDA-SI framework can serve as an evaluation index and provide policy insights for coordinating the protection of watershed ecological environments and sustainable hydropower development.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101106"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925505","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":"Cross-sensitivity of ecosystem services to land use change in China's poverty-stricken areas","authors":"Jiale Liang ,&nbsp;Sipei Pan ,&nbsp;Nan Xia ,&nbsp;Wanxu Chen ,&nbsp;Manchun Li","doi":"10.1016/j.indic.2025.101105","DOIUrl":"10.1016/j.indic.2025.101105","url":null,"abstract":"<div><div>Contiguous poverty-stricken areas commonly face dual pressures of ecological conservation and economic development. Land use change may lead to ecological degradation, which in turn may exacerbate poverty. Understanding how ecosystem services respond to land use change is crucial to mitigate the vicious cycle between poverty and ecological fragility. Therefore, this study focuses on 680 counties within China's contiguous poverty-stricken areas. Using remote sensing and statistical data, we employed a cross-sensitivity method to quantify county-level ecosystem services response to land use change from 1980 to 2020. Results revealed that the most dramatic change in China's contiguous poverty-stricken areas was the interconversion between agricultural production land (APL) and pasture ecological land (PEL). The transition from PEL to APL inhibited the growth of ecosystem services value (ESV). Overall, ESV initially declined before increasing, resulting in a net gain of US$11.04 billion. Cross-sensitivity analysis showed that sensitivity coefficients in 2000–2020 were generally lower than those in 1980–2000, especially for transitions among ecological land types. ESV was more sensitive to the transition from APL to ecological land and to transitions occurring within ecological land. Changes in APL had the greatest impact on ESV. Transitions from industrial and mining land (IML) to other land types tended to enhance ESV, whereas transition from forest ecological land (FEL) to other land types resulted in substantial ESV losses. Spatial zoning further revealed strong clustering patterns of ecological sensitivity, with highly sensitive areas concentrated east of the Hu Line and extensive no-net change areas on the Qinghai-Tibet Plateau. These findings provide a scientific basis for improving land use management and enhancing ecosystem functions in poverty-stricken areas.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101105"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925570","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}