Environmental and Sustainability Indicators最新文献

{"title":"Bridging the yield gap: Assessing the efficacy of adaptation measures for climate resilience under future scenarios","authors":"Masoud K. Barati ,&nbsp;Bankaru-Swamy Soundharajan","doi":"10.1016/j.indic.2025.100799","DOIUrl":"10.1016/j.indic.2025.100799","url":null,"abstract":"<div><div>With climate variability posing significant global risks, semi-arid tropics are particularly vulnerable to the projected rise in radiative forcing, expected to shift monsoon rainfall patterns. Consequently, this heightened variability makes the development of climate adaptation increasingly challenging for rainfed rice. This study integrated bias-corrected CMIP6 projections (SSP245 and SSP585) with the FAO AquaCrop model and a Principal Component Analysis (PCA) to determine how climate adaptation strategies can close the yield gap (YG) and moderate water demand (WD) in the Upper Noyyal Basin, India (2020 2059). Six sowing weeks (SW), including two farmer-informed counterfactuals, were tested for both Kharif and Rabi growing seasons. Uncertainty analysis revealed that ensemble-averaged climate inputs reduced yield projection uncertainty. Under SSP245, water stress events become less frequent, with a 66 % reduction during the first two decades (2020–2039); SSP585 instead mitigates excessive rainfall events by 57 % in the later decades (2040–2059). Kharif rice sown in the counterfactual window outperforms shifted SWs, underscoring the value of indigenous knowledge. For Rabi rice, a two-week advance (SW38) narrows the YG by −65 % (SSP245) and −68 % (SSP585). PCA indicates that Water Stress Index (WSI) and Dry Day frequency (DD) jointly explain &gt;90 % of the variance in YG and WD; under SSP585 these two variables dominate, underscoring a pivot toward high-frequency moisture shocks. This study pioneers a site-specific assessment through innovative counterfactual scenario, decadal-scale analysis to prevent maladaptation, and linking extreme indices to YG and WD under the effective adaptation strategy to quantify adaptation efficacy for policy guidance. These findings provide site-specific, time-bounded guidance for policymakers targeting resilient rice production under escalating climate uncertainty.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"27 ","pages":"Article 100799"},"PeriodicalIF":5.4,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663133","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 dynamics of urban-rural integration and resilience: A multi-layer network study in the Chengdu-Chongqing urban agglomeration","authors":"Cong Lu ,&nbsp;Jianjun She ,&nbsp;Hezhi Pan ,&nbsp;Xuanling Zhou ,&nbsp;Shaotong Zhou ,&nbsp;Zihao Guo","doi":"10.1016/j.indic.2025.100800","DOIUrl":"10.1016/j.indic.2025.100800","url":null,"abstract":"<div><div>Against the backdrop of accelerated new-type urbanization and urban–rural integration, clarifying the multidimensional interaction between urban–rural integration and regional resilience is crucial for achieving coordinated regional development. This study examines the spatiotemporal evolution of urban–rural integration in the Chengdu–Chongqing Urban Agglomeration from 2009 to 2022 and analyzes its impact on regional resilience. A multilayer network framework is constructed, incorporating four subsystems—economic, social, environmental, and governance—to capture structural coordination and dynamic coupling. Results show that overall regional resilience increased by 63.4 %, with some peripheral cities experiencing growth rates exceeding 100 %. However, due to policy preferences and resource concentration, core cities experienced earlier improvements in infrastructure, governance capacity, ecological investment, and public service provision, resulting in a widening resilience gap between core and peripheral cities—from 0.27 to 0.45. This gap exhibits significant spatial heterogeneity across subsystems and city types, particularly in governance and social dimensions. Further analysis identifies employment opportunities, infrastructure investment, and governance synergy as key driving factors. Accordingly, targeted strategies are proposed, including strengthening factor mobility, improving service systems in peripheral areas, and prioritizing green infrastructure development to promote balanced resilience enhancement. This study reveals the spatial heterogeneity and underlying mechanisms of resilience evolution under policy-driven integration, providing empirical support for understanding uneven regional development in the context of multidimensional integration.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"27 ","pages":"Article 100800"},"PeriodicalIF":5.4,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144672646","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":"On the market appeal of smart pedometer-based services within dairy cow farms","authors":"M. Bonfanti ,&nbsp;R. Selvaggi ,&nbsp;G. Pappalardo ,&nbsp;C. Bellia ,&nbsp;B. Pecorino ,&nbsp;S.M.C. Porto","doi":"10.1016/j.indic.2025.100798","DOIUrl":"10.1016/j.indic.2025.100798","url":null,"abstract":"<div><div>The rapid advancement of new technologies has significantly transformed livestock production systems, with Precision Livestock Farming (PLF) playing a crucial role in improving economic, social, and environmental sustainability. Among PLF tools, pedometers stand out for their ability to monitor livestock activity, detect health issues, and optimize resource management. Despite their recognized advantages, pedometers remain underutilized, mainly due to concerns about complexity, battery life, and cost. To address these limitations, an innovative Stand-Alone Smart Pedometer was developed within a European Commission-funded project, incorporating an oestrus detection algorithm. Dairy farmers' willingness to pay (WTP) to adopt and use this innovative pedometer was elicited using experimental auctions and the Multiple Price List (MPL) approach. The findings indicate strong interest from farmers, suggesting that the innovative and cost-effective design could facilitate broader adoption, particularly among small and medium-sized farms, contributing to a more sustainable livestock sector.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"27 ","pages":"Article 100798"},"PeriodicalIF":5.4,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656361","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":"Compounding impacts of climate change and urbanisation on water-energy-food Nexus in global south countries. A systematic review","authors":"Taiwo Temitope Bamgboye ,&nbsp;Tamara Avellán ,&nbsp;Björn Klöve ,&nbsp;Ali Torabi Haghighi","doi":"10.1016/j.indic.2025.100791","DOIUrl":"10.1016/j.indic.2025.100791","url":null,"abstract":"<div><div>As climate change and urbanisation continue to reshape global resource demand and supply, Global South countries face compounded challenges in managing the interconnected water, energy, and food (WEF) nexus. This systematic review assessed the current state of research on their combined impact across Africa, Asia, Latin America, and the Caribbean, analysing 75 peer-reviewed articles published between 2011 and 2023. Key findings include the following: (1) No literature was found analysing the WEF Nexus, climate change, and urbanisation. This gap suggests that policymakers and resource managers may lack full understanding of their combined impact on WEF insecurities. (2) Climate change primarily affects resource supply through biophysical impacts, while urbanisation through socioeconomic impacts influences resource demand and consumption patterns. Together, these two disrupt the balance between supply and demand, increasing insecurities across the WEF elements. (3) In addition, governance issues such as weak systems, siloed government structures, and low political will hinder effective WEF nexus management. (4) Qualitative methods were the most prominent in studying both problems, suggesting a focus on contextual understanding. (5) Distinctively, no existing solutions simultaneously address the impact of climate change and urbanisation on the WEF nexus. The proposed solutions to these impacts tend to target one driver in isolation, such as renewable energy for climate mitigation, or urban agriculture for urban resilience. This review highlights the need to address the compounding impact of these problems to ensure an equilibrium between supply and demand in the face of global environmental changes.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"27 ","pages":"Article 100791"},"PeriodicalIF":5.4,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656943","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 health and management assessment kit (SOHMA KIT®): Development and validation for on-farm applications","authors":"Bruna Emanuele Schiebelbein ,&nbsp;Victória Santos Souza ,&nbsp;Maurício Roberto Cherubin","doi":"10.1016/j.indic.2025.100802","DOIUrl":"10.1016/j.indic.2025.100802","url":null,"abstract":"<div><div>Soil health is a foundation for long-term soil multifunctionality, sustaining crop yields and enhancing crop resilience to climate change. Nevertheless, soil health assessments are often complex, costly and time-consuming, which acts as a barrier to farmers adopting them. Thus, we hypothesized that a simplified, on-farm approach to evaluate soil health, composed by key indicators, could effectively detect changes in soil health across different land management systems. This study aimed to (i) validate the Soil Health and Management Assessment Kit (SOHMA KIT®) as a reliable tool for on-farm soil health assessment, (ii) compare its performance with standard laboratory methods, and (iii) assess its sensitivity for detecting soil health improvements induced by cover crops. The validation study was conducted in two long-term field experiments in the Brazilian savanna (Cerrado biome), where different cover crop systems were evaluated. After extensive work involving literature review, selection and development of methods, the SOHMA KIT® was created. The SOHMA KIT® integrates seven soil health indicators from physical (infiltration, aggregate stability, Visual Evaluation of Soil Structure - VESS), chemical (pH), and biological (catalase enzyme, macrofauna, biogenic aggregates) components into a Soil Health Index (SHI). In the validation tests, results showed that the SHI increased around 35 % in diversified cropping systems. Strong correlations between SOHMA KIT® and standard methods were observed for key indicators (e.g., infiltration: r = 0.71, aggregate stability: r = 0.40, pH: r = 0.88). Despite its portability and cost-effectiveness, the toolkit has some limitations, such as it is recommended that users have a basic training for assessing visual indicators, and the assessment is focused only on topsoil layers. However, the SOHMA KIT® is user-friendly and scalable, being a valuable tool for on-farm decision-making, regenerative agriculture, and large-scale soil health monitoring.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"27 ","pages":"Article 100802"},"PeriodicalIF":5.4,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663043","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":"Land use/cover classification using machine learning algorithms and their impacts on land surface temperature and soil moisture in the Alawuha Watershed, Ethiopia","authors":"Getachew Bayable ,&nbsp;Getie Gebrie ,&nbsp;Tadele Melese ,&nbsp;Alebel Melaku","doi":"10.1016/j.indic.2025.100797","DOIUrl":"10.1016/j.indic.2025.100797","url":null,"abstract":"<div><div>Land use/cover (LULC) mapping is vital for natural resource management and environmental monitoring in rapidly developing regions such as Ethiopia's Northern Highlands. This study pioneers the integration of Sentinel-1 Synthetic Aperture Radar and Sentinel-2 Level 2A MultiSpectral Instrument data via Google Earth Engine to achieve high-accuracy LULC classification in the Alawuha Watershed, evaluating Classification and Regression Trees (CART), Random Forest (RF), and Support Vector Machines (SVM). It also examined spatiotemporal variations in land surface temperature (LST) and the soil moisture index (SMI) across LULC types using Landsat 8. The Radial Basis Function (RBF) SVM outperformed RF and CART, achieving an average overall accuracy (OA) of 89.6 % and an F1 score of 89.5 % across 2019 and 2024, compared to 88.2 % OA and 88.1 % F1 for RF, and 83.8 % OA and 83.3 % F1 for CART. Spatiotemporal analysis revealed urban expansion, increased forest cover, and stable farmland, with farmland consistently dominant in the watershed. LST decreased significantly from 2014 to 2025, with built-up areas showing the highest values at 41.4 °C (2019) and 38.1 °C (2024) and forests the lowest at 30.4 °C (2019) and 27.8 °C (2024). SMI increased significantly (2014–2025), with forests recording the highest values at 0.59 (2019) and 0.66 (2024), and built-up and bare lands the lowest. These findings highlight LULC's role in regulating microclimates and water balance, offering key insights for sustainable land-use planning and environmental management.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"27 ","pages":"Article 100797"},"PeriodicalIF":5.4,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656362","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":"Hybrid AHP-machine learning modelling of groundwater recharge potential under land use and climate change in tropical Basins: Implications for sustainable water management","authors":"Emmanuel Arthur ,&nbsp;Charles Gyamfi ,&nbsp;Fred Oppong Kyekyeku Anyemedu ,&nbsp;Maxwell Anim-Gyampo","doi":"10.1016/j.indic.2025.100796","DOIUrl":"10.1016/j.indic.2025.100796","url":null,"abstract":"<div><div>Groundwater recharge in sub-Saharan Africa is increasingly threatened by climate change and land use/land cover (LULC) changes, yet integrated assessments remain limited for tropical basins. This study evaluates groundwater recharge potential in Ghana's Pra and Ankobra River Basins usings a novel hybrid approach combining Analytical Hierarchy Process (AHP) and machine learning to assess coupled climate-LULC impacts. The framework integrates statistically downscaled CMIP6 projections (SSP1-2.6, SSP2-4.5, SSP5-8.5), Random Forest-based LULC modelling, and AHP-weighted multi-criteria analysis. The Analog method achieved accurate rainfall downscaling (RMSE = 5.56 mm/day, R² = 0.79), while Land Change Modeller predicted LULC transitions (precision = 0.81, Kappa = 0.55). Results indicate climate change dominates recharge variability, with SSP1-2.6 expanding very high recharge zones (+91.90 % mid-future) and SSP5-8.5 reducing very low zones (−67.94 % far-future). Nonlinear responses emerged, including an initial high-recharge decline (−8.72 % near-future) followed by recovery (+34.31 % mid-future). Spatially, the Ankobra Basin and mid-western Pra Basin exhibited the highest recharge potential (14.84 % very high), while southeastern areas remained vulnerable (5.79 % very low). AHP identified rainfall (weight = 0.22), geology (0.20), and lineament density (0.14) as key controls. The hybrid AHP-machine learning approach outperformed conventional methods, providing robust quantification of climate-LULC interactions. Findings emphasise the need for adaptive management, prioritising high-recharge conservation (e.g., Tarkwa) and alternative solutions in vulnerable zones (e.g., Shama). This study offers a transferable framework for tropical basins, supporting sustainable groundwater planning under global change.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"27 ","pages":"Article 100796"},"PeriodicalIF":5.4,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144665506","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":"Allometric models for estimating above-ground biomass and carbon stock of major shrub species in Northern dry mixed deciduous forest in Shivalik foothills, India","authors":"Pempa L. Bhutia ,&nbsp;Sadikul Islam ,&nbsp;Sharmistha Pal ,&nbsp;Rajesh Kaushal ,&nbsp;Pankaj Panwar ,&nbsp;Manoj Kumar ,&nbsp;Dinesh Kumar ,&nbsp;R.P. Yadav ,&nbsp;Karma G. Bhutia ,&nbsp;N Raju Singh ,&nbsp;Mahak Singh ,&nbsp;O.P.S. Khola","doi":"10.1016/j.indic.2025.100795","DOIUrl":"10.1016/j.indic.2025.100795","url":null,"abstract":"<div><div>This study aimed to develop allometric models for estimating above-ground biomass (AGB) and carbon stocks (ACS) in three dominant shrub species-<em>Lantana camara</em>, <em>Justicia adhatoda</em>, and <em>Murraya koenigii</em>-within the Northern Dry Mixed Deciduous Forest of the Shivalik foothills, India. Species were selected based on density, basal area, and importance value index. Biometric variables including diameter at ground level (D₀), diameter at 15 cm (D₁₅), height (H), and crown area (CA) were recorded and used individually or in combination as predictors in two forms of power equations. Forty-eight fixed 5 m × 5 m quadrats were randomly sampled post-rainy season (September–November) for phytosociological assessment; destructive biomass sampling was conducted in 36 of them. Model parameters were estimated using a weighted maximum likelihood non-linear fixed effects approach and validated using Monte Carlo cross-validation. Species-specific models using D₀ and H for <em>M. koenigii</em> and <em>L. camara</em>, as well as CA and H for <em>J. adhatoda</em>, were found most effective. A multi-species model using D₁₅ and H also performed reliably. Estimated total AGB and ACS were 5.24 ± 0.55 Mg ha⁻¹ and 2.49 ± 0.26 Mg ha⁻¹, respectively, with <em>L. camara</em> contributing 72.50 %, <em>M. koenigii</em> 25.60 %, and <em>J. adhatoda</em> 1.90 %. Therefore, the models offer a non-destructive solution to longstanding challenges in estimating the AGB of the shrub species grown under similar conditions and also emphasizing the critical role of shrubs in overall forest carbon storage. These models provide robust estimates of biomass and carbon stock, supporting their application in carbon credit monitoring and assessment.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"27 ","pages":"Article 100795"},"PeriodicalIF":5.4,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144633207","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":"Birds as indicators of the forest management impacts on biodiversity in European temperate floodplain forests","authors":"Petr Kovařík,&nbsp;Ivo Machar,&nbsp;Jaromír Harmáček,&nbsp;Vilém Pechanec","doi":"10.1016/j.indic.2025.100794","DOIUrl":"10.1016/j.indic.2025.100794","url":null,"abstract":"<div><div>Forest biodiversity is significantly influenced by human management practices. To evaluate these changes, bioindicators are frequently employed, with birds being among the most widely used groups. This study investigates how birds respond to the creation of clearings in one of Europe's richest forest ecosystems—hardwood floodplain forests. We compared bird species abundance between old-growth mature forest stands and clear-cuttings areas with retained habitat trees. While some bird species exhibited a strong preference for old-growth forest, a considerable number showed no clear habitat preference, and others were significantly more abundant in patches with clearings. Regression analysis revealed that overall species richness was higher in patches with clearings when all bird species were considered. However, when focusing exclusively on forest specialists, greater species richness was observed in old-growth mature forest stands.</div><div>These findings underscore the critical role of environmental heterogeneity in supporting biodiversity, while also highlighting the concurrent need to conserve habitats for species that depend on continuous old-growth forest.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"27 ","pages":"Article 100794"},"PeriodicalIF":5.4,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656944","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":"How can China's pilot free trade zones achieve high-quality development? Take Tianjin City as an example","authors":"Wenxue Xia ,&nbsp;Guangwen Meng ,&nbsp;Peiyuan Li ,&nbsp;Haiyu Zhang","doi":"10.1016/j.indic.2025.100792","DOIUrl":"10.1016/j.indic.2025.100792","url":null,"abstract":"<div><div>High-quality development of China's pilot free trade zones is essential for economic transformation and supports progress to the Sustainable Development Goals (SDGs). However, limited research has systematically explored the multi-dimensional drivers of high-quality development under varying institutional and environmental contexts. This paper focuses on the Tianjin Pilot Free Trade Zone to investigate key influencing factors and configuration paths. A hybrid method integrating the Technology–Organization–Environment (TOE) framework, Analytic Hierarchy Process–Fuzzy Comprehensive Evaluation (AHP-FCE), and fuzzy-set Qualitative Comparative Analysis (fsQCA) was applied to data from 2016 to 2024, including official statistics and targeted survey responses. Results show the Tianjin Pilot Free Trade Zone's average micro-level high-quality score is 3.26, reflecting overall improvement but revealing deficiencies in innovation, green finance, and regulatory capacity. Four configuration paths were identified for achieving high-quality, while three distinct non-high-quality paths reveal path asymmetry, indicating asymmetric causal relationships. Notably, comprehensive environmental regulation is an important factor across most high-quality configurations. These findings offer theoretical and practical insights for advancing diversified high-quality development strategies in pilot free trade zones and contribute evidence-based support for achieving the United Nations' Sustainable Development Goals.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"27 ","pages":"Article 100792"},"PeriodicalIF":5.4,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631706","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}