Pub Date : 2026-01-26DOI: 10.1016/j.indic.2026.101143
Xinyue Zhang , Lingyi Cao , Fan Yang , Guangyu Wang , Huikeng Lai , Rongxiao He
Coastal urban ecosystems are becoming increasingly vulnerable to climate-induced disturbance and damage due to the escalating frequency and intensity of typhoons. This study employed an integrated approach of remote sensing analysis and ground-based surveys to systematically assess the damage patterns and spatial heterogeneity of urban vegetation in the Jiangdong New District (Haikou, China) following super typhoon events. The results indicate that tree community diversity, measured by the Shannon index, was significantly and positively correlated with vegetation damage severity (p < 0.001, r = 0.496). Green space patch characteristics were positively associated with the extent of storm damage. In contrast, building height and landscape aggregation index showed negative correlations with damage severity. Approximately 56.4 % of the vegetated areas exhibited a declining trend in the normalized difference vegetation index (NDVI). Human activity intensity and the magnitude of vegetation decrease were significantly positively correlated in northeastern wetlands and negatively correlated in the southeastern tree nurseries. Relying solely on wind-resistant tree species is insufficient to develop a resilient ecosystem. Instead, heterogeneity in community structure and urban spatial layout are critical in increasing tree resistance to wind disturbances. These findings emphasize the need to consider landscape characteristics and human activity patterns along urban environmental when developing adaptation strategies for coastal cities to improve the resilience of urban green infrastructure to extreme climate events.
由于台风的频率和强度不断上升,沿海城市生态系统越来越容易受到气候引起的干扰和破坏。采用遥感分析与地面调查相结合的方法,系统评价了海口市江东新区超强台风过后城市植被的破坏格局和空间异质性。结果表明,以Shannon指数衡量的树木群落多样性与植被破坏程度呈显著正相关(p < 0.001, r = 0.496)。绿地斑块特征与风暴破坏程度呈正相关。建筑高度和景观聚集指数与破坏程度呈负相关。归一化植被指数(NDVI)呈下降趋势的植被面积约占56.4%。人类活动强度与植被减少幅度在东北湿地呈显著正相关,在东南部乔木苗圃呈显著负相关。仅仅依靠抗风树种不足以发展一个有弹性的生态系统。相反,群落结构和城市空间布局的异质性对于增强树木对风干扰的抵抗力至关重要。这些发现强调,在制定沿海城市适应战略时,需要考虑景观特征和城市环境中的人类活动模式,以提高城市绿色基础设施对极端气候事件的抵御能力。
{"title":"Spatial differences in vegetation damage under typhoon hazards: A case study of a coastal urban district","authors":"Xinyue Zhang , Lingyi Cao , Fan Yang , Guangyu Wang , Huikeng Lai , Rongxiao He","doi":"10.1016/j.indic.2026.101143","DOIUrl":"10.1016/j.indic.2026.101143","url":null,"abstract":"<div><div>Coastal urban ecosystems are becoming increasingly vulnerable to climate-induced disturbance and damage due to the escalating frequency and intensity of typhoons. This study employed an integrated approach of remote sensing analysis and ground-based surveys to systematically assess the damage patterns and spatial heterogeneity of urban vegetation in the Jiangdong New District (Haikou, China) following super typhoon events. The results indicate that tree community diversity, measured by the Shannon index, was significantly and positively correlated with vegetation damage severity (p < 0.001, r = 0.496). Green space patch characteristics were positively associated with the extent of storm damage. In contrast, building height and landscape aggregation index showed negative correlations with damage severity. Approximately 56.4 % of the vegetated areas exhibited a declining trend in the normalized difference vegetation index (NDVI). Human activity intensity and the magnitude of vegetation decrease were significantly positively correlated in northeastern wetlands and negatively correlated in the southeastern tree nurseries. Relying solely on wind-resistant tree species is insufficient to develop a resilient ecosystem. Instead, heterogeneity in community structure and urban spatial layout are critical in increasing tree resistance to wind disturbances. These findings emphasize the need to consider landscape characteristics and human activity patterns along urban environmental when developing adaptation strategies for coastal cities to improve the resilience of urban green infrastructure to extreme climate events.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101143"},"PeriodicalIF":5.6,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-24DOI: 10.1016/j.indic.2026.101137
T.P.M. van Loon, A. Kanellopoulos, S. de Leeuw
Increasing crop diversity in agricultural landscapes can increase biodiversity but it is unclear how different diversification strategies affect crop diversity across spatial scales. Here we compared different diversification strategies for farmers along three dimensions of diversity: temporal, genetic, and spatial. We developed a framework that optimizes crop diversity for different spatial scales and applied it to a case study of 58 arable farms with 544 fields in the municipality of Lelystad, Netherlands. We showed that the scale at which crop diversity is assessed determines what the optimal crop diversification strategy is. At lower spatial scales, strategies that increase crop diversity along the spatial dimension increased crop diversity most. In contrast, at higher spatial scales, strategies that increase crop diversity along the temporal and genetic dimensions increased crop diversity most. These differences led to trade-offs between the optimal level of crop diversity at different spatial scales. With our modelling framework we can provide guidelines to efficiently allocate activities that aim to increase crop diversity across multiple spatial scales.
{"title":"Optimizing crop diversity across multiple spatial scales","authors":"T.P.M. van Loon, A. Kanellopoulos, S. de Leeuw","doi":"10.1016/j.indic.2026.101137","DOIUrl":"10.1016/j.indic.2026.101137","url":null,"abstract":"<div><div>Increasing crop diversity in agricultural landscapes can increase biodiversity but it is unclear how different diversification strategies affect crop diversity across spatial scales. Here we compared different diversification strategies for farmers along three dimensions of diversity: temporal, genetic, and spatial. We developed a framework that optimizes crop diversity for different spatial scales and applied it to a case study of 58 arable farms with 544 fields in the municipality of Lelystad, Netherlands. We showed that the scale at which crop diversity is assessed determines what the optimal crop diversification strategy is. At lower spatial scales, strategies that increase crop diversity along the spatial dimension increased crop diversity most. In contrast, at higher spatial scales, strategies that increase crop diversity along the temporal and genetic dimensions increased crop diversity most. These differences led to trade-offs between the optimal level of crop diversity at different spatial scales. With our modelling framework we can provide guidelines to efficiently allocate activities that aim to increase crop diversity across multiple spatial scales.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101137"},"PeriodicalIF":5.6,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-23DOI: 10.1016/j.indic.2026.101135
Mohammed Mashary Alnaim
This study explores the potential of cultural tourism as a strategic driver for sustainable urban development in Hail City, Saudi Arabia, emphasizing its alignment with the objectives of Saudi Vision (2030). Situated at the intersection of heritage preservation, community participation, and environmental sustainability, the research investigates how Hail's rich cultural assets, ranging from the UNESCO-listed Jubbah Rock Art to its traditional urban fabric and crafts, can be transformed into engines of socio-economic growth. A qualitative-dominant mixed-methods approach was adopted, integrating document analysis, stakeholder interviews, field surveys, and comparative case studies from Fez, Kyoto, and Bath. Findings indicate that despite possessing significant cultural value, Hail's tourism potential remains underdeveloped due to infrastructural limitations and institutional fragmentation. Nevertheless, strong local identity, community enthusiasm, and ecological endowments provide a promising basis for sustainable transformation. The study proposes a comprehensive cultural tourism strategy structured around three interrelated pillars: infrastructure improvement, heritage preservation and programming, and community empowerment with environmental integration. The research contributes to global discourse on heritage-led urbanism by demonstrating how mid-sized cities in developing contexts can achieve balanced modernization, enhance quality of life, and preserve cultural authenticity through a locally adapted sustainability model.
{"title":"Cultural tourism as a driver for sustainable urban development in Hail City, Saudi Arabia","authors":"Mohammed Mashary Alnaim","doi":"10.1016/j.indic.2026.101135","DOIUrl":"10.1016/j.indic.2026.101135","url":null,"abstract":"<div><div>This study explores the potential of cultural tourism as a strategic driver for sustainable urban development in Hail City, Saudi Arabia, emphasizing its alignment with the objectives of Saudi Vision (2030). Situated at the intersection of heritage preservation, community participation, and environmental sustainability, the research investigates how Hail's rich cultural assets, ranging from the UNESCO-listed Jubbah Rock Art to its traditional urban fabric and crafts, can be transformed into engines of socio-economic growth. A qualitative-dominant mixed-methods approach was adopted, integrating document analysis, stakeholder interviews, field surveys, and comparative case studies from Fez, Kyoto, and Bath. Findings indicate that despite possessing significant cultural value, Hail's tourism potential remains underdeveloped due to infrastructural limitations and institutional fragmentation. Nevertheless, strong local identity, community enthusiasm, and ecological endowments provide a promising basis for sustainable transformation. The study proposes a comprehensive cultural tourism strategy structured around three interrelated pillars: infrastructure improvement, heritage preservation and programming, and community empowerment with environmental integration. The research contributes to global discourse on heritage-led urbanism by demonstrating how mid-sized cities in developing contexts can achieve balanced modernization, enhance quality of life, and preserve cultural authenticity through a locally adapted sustainability model.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101135"},"PeriodicalIF":5.6,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-19DOI: 10.1016/j.indic.2026.101139
Mohammad Tavosi , Mehdi Vafakhah , Seyed Hamidreza Sadeghi , Sayed M. Bateni
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.
{"title":"Ecological lens on prioritizing water security at sub-watershed level using Pressure-State-Response model and Ordinal Priority","authors":"Mohammad Tavosi , Mehdi Vafakhah , Seyed Hamidreza Sadeghi , 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":"2026-01-19","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}
Pub Date : 2026-01-18DOI: 10.1016/j.indic.2026.101138
Xochitl Virginia Bello-Yañez , María-Concepción Martínez-Rodríguez , S.B. Sujitha , L.E. Campos-Villegas , Diego Domínguez-Solís , Héctor Guadalupe Ramírez-Escamilla , Ana Laura Cervantes-Najera , M.P. Jonathan
The clay-hosted lithium deposit in Sonora, Mexico, represents a potential mining site for this critical mineral, which is essential for clean energy technologies and currently in high demand during the energy transition. Establishing geochemical baselines is crucial for anticipating potential environmental risks before mining and for supporting a fair and sustainable energy transition. The objective was to report lithium (Li) concentrations and establish a geochemical baseline under pre-mining conditions by analyzing spatial distribution, statistical variability, and background comparisons, and to evaluate the degree of pollution and potential environmental risks, laying a foundation for incorporating sustainable policies. Therefore, 15 samples were collected from the bedrock of the Li deposit in Sonora, Mexico, to determine the concentrations of Li and other toxic heavy metals (Cr, Co, Ni, Cu, Zn, As, and Pb). Results revealed Li concentrations ranging from 301 to 5890 ppm, and multivariate analysis showed significant geochemical associations. The calculated environmental indices (, CF, , PLI, , Er, and RI) showed that most elements presented low contamination and ecological risk, with only localized moderate enrichment for Ni, Cu, and Zn. In contrast, arsenic showed extreme variability and posed a potential environmental risk. Thus, this study provides evidence that bridges geoscientific analysis with sustainability policy in mining, the first link of the supply chain, strengthening the foundations for responsible Li governance in emerging clay-hosted deposits and contributing to sustainable production and consumption.
{"title":"Bedrock geochemical baseline and pre-mining risk assessment of heavy metals in a potential lithium deposit in Sonora, Mexico: Implications for sustainable resource management","authors":"Xochitl Virginia Bello-Yañez , María-Concepción Martínez-Rodríguez , S.B. Sujitha , L.E. Campos-Villegas , Diego Domínguez-Solís , Héctor Guadalupe Ramírez-Escamilla , Ana Laura Cervantes-Najera , M.P. Jonathan","doi":"10.1016/j.indic.2026.101138","DOIUrl":"10.1016/j.indic.2026.101138","url":null,"abstract":"<div><div>The clay-hosted lithium deposit in Sonora, Mexico, represents a potential mining site for this critical mineral, which is essential for clean energy technologies and currently in high demand during the energy transition. Establishing geochemical baselines is crucial for anticipating potential environmental risks before mining and for supporting a fair and sustainable energy transition. The objective was to report lithium (Li) concentrations and establish a geochemical baseline under pre-mining conditions by analyzing spatial distribution, statistical variability, and background comparisons, and to evaluate the degree of pollution and potential environmental risks, laying a foundation for incorporating sustainable policies. Therefore, 15 samples were collected from the bedrock of the Li deposit in Sonora, Mexico, to determine the concentrations of Li and other toxic heavy metals (Cr, Co, Ni, Cu, Zn, As, and Pb). Results revealed Li concentrations ranging from 301 to 5890 ppm, and multivariate analysis showed significant geochemical associations. The calculated environmental indices (<span><math><mrow><msub><mrow><mspace></mspace><mi>I</mi></mrow><mtext>geo</mtext></msub></mrow></math></span>, CF, <span><math><mrow><msub><mrow><mspace></mspace><mi>C</mi></mrow><mi>deg</mi></msub></mrow></math></span>, PLI, <span><math><mrow><msub><mtext>PIN</mtext><mtext>emerow</mtext></msub></mrow></math></span>, Er, and RI) showed that most elements presented low contamination and ecological risk, with only localized moderate enrichment for Ni, Cu, and Zn. In contrast, arsenic showed extreme variability and posed a potential environmental risk. Thus, this study provides evidence that bridges geoscientific analysis with sustainability policy in mining, the first link of the supply chain, strengthening the foundations for responsible Li governance in emerging clay-hosted deposits and contributing to sustainable production and consumption.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101138"},"PeriodicalIF":5.6,"publicationDate":"2026-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-17DOI: 10.1016/j.indic.2026.101131
Zhiying Tang , Yihang Jia , Zhibing Lu , Wenhua Duan , Yonghui He , Gang Lei , Lizheng Fang , Wenting Li , Yaoxing Wu , Tianxiang Wang , Huimin Tian , Lianghua Qi
Global climate change and intensified human activities drive rapid land use and land cover (LULC) changes, particularly in ecologically fragile regions like China's Southern Hilly Region (SHR), affecting ecosystem services (ESs) trade-offs/synergies. However, scale-dependent thresholds governing these relationships remain poorly quantified. We analyzed ESs dynamics (water yield, soil conservation, carbon storage, nutrient retention, habitat quality) across regional, watershed, and sub-watershed scales (1990–2020) using the InVEST model, sensitivity indices, and piecewise linear regression. ESs responses exhibited significant scale effects, with sub-watersheds showing the highest sensitivity to LULC changes and representing the most stable management unit. Particularly, we found that critical LULC thresholds regulate trade-offs/synergies: forest cover exceeding ∼70 % strongly enhanced synergies among multiple ESs, while cropland proportions between 30 and 65 % intensified trade-offs (e.g., between soil conservation and water yield). Impervious expansion consistently degraded ESs. Our results demonstrate that optimizing LULC patterns-prioritizing forest conservation (>70 % cover), limiting cropland (<65 %), and controlling urban sprawl-at the sub-watershed scale minimizes ESs trade-offs. This study establishes quantitative thresholds to guide targeted land-use planning and ecological restoration policies in hilly regions globally, supporting sustainable landscape governance.
{"title":"Thresholds of ecosystem service trade-offs and synergies at different spatio-temporal scales in hilly region of Southern China","authors":"Zhiying Tang , Yihang Jia , Zhibing Lu , Wenhua Duan , Yonghui He , Gang Lei , Lizheng Fang , Wenting Li , Yaoxing Wu , Tianxiang Wang , Huimin Tian , Lianghua Qi","doi":"10.1016/j.indic.2026.101131","DOIUrl":"10.1016/j.indic.2026.101131","url":null,"abstract":"<div><div>Global climate change and intensified human activities drive rapid land use and land cover (LULC) changes, particularly in ecologically fragile regions like China's Southern Hilly Region (SHR), affecting ecosystem services (ESs) trade-offs/synergies. However, scale-dependent thresholds governing these relationships remain poorly quantified. We analyzed ESs dynamics (water yield, soil conservation, carbon storage, nutrient retention, habitat quality) across regional, watershed, and sub-watershed scales (1990–2020) using the InVEST model, sensitivity indices, and piecewise linear regression. ESs responses exhibited significant scale effects, with sub-watersheds showing the highest sensitivity to LULC changes and representing the most stable management unit. Particularly, we found that critical LULC thresholds regulate trade-offs/synergies: forest cover exceeding ∼70 % strongly enhanced synergies among multiple ESs, while cropland proportions between 30 and 65 % intensified trade-offs (e.g., between soil conservation and water yield). Impervious expansion consistently degraded ESs. Our results demonstrate that optimizing LULC patterns-prioritizing forest conservation (>70 % cover), limiting cropland (<65 %), and controlling urban sprawl-at the sub-watershed scale minimizes ESs trade-offs. This study establishes quantitative thresholds to guide targeted land-use planning and ecological restoration policies in hilly regions globally, supporting sustainable landscape governance.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101131"},"PeriodicalIF":5.6,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-16DOI: 10.1016/j.indic.2026.101133
Abdol Rassoul Zarei
To overcome the limitations of traditional models to simulate discrete environmental variables, this study introduces a novel, integrated simulation framework: the Spatio-Temporal Integrated Geographic Generative Adversarial Network (ST-IGeo-GAN). This model directly processes raw raster data, including the target variable along with dynamic and static auxiliary indices. It learns to simulate the system's future state based on its prior state and spatial drivers. To evaluate the model's performance, the Vegetation Health Index (VHI) in Fars province, Iran, was forecast for the 2025–2030 period under three scenarios: (A) without auxiliary indices, (B) with the one dynamic auxiliary index: Normalized Difference Vegetation Index (NDVI), and (C) with both dynamic and static auxiliary indices: NDVI and Digital Elevation Model (DEM). The model was trained using VHI and NDVI imagery from 2003 to 2024. Evaluation results demonstrated that scenario B significantly outperformed scenarios A and C. Furthermore, a direct comparison against a CA-Markov and Conv-LSTM models confirmed the ST-IGeo-GAN's fundamental superiority, as the latter produced forecasts with significantly higher spatial accuracy. This finding suggests that while dynamic drivers are critical for temporal forecasting, the inclusion of less informative static variables can degrade model performance. Additionally, trend analysis for the extended period (2003–2030) under the superior Scenario B projected an emerging tendency towards drier conditions. This highlights a potential shift in the system's variability. The ST-IGeo-GAN framework provides a powerful, data-driven tool for simulating spatiotemporal systems, offering valuable insights for proactive environmental management and risk assessment.
{"title":"Simulating categorical environmental dynamics using a Spatio-Temporal Integrated Geographic Generative Adversarial Network framework","authors":"Abdol Rassoul Zarei","doi":"10.1016/j.indic.2026.101133","DOIUrl":"10.1016/j.indic.2026.101133","url":null,"abstract":"<div><div>To overcome the limitations of traditional models to simulate discrete environmental variables, this study introduces a novel, integrated simulation framework: the Spatio-Temporal Integrated Geographic Generative Adversarial Network (ST-IGeo-GAN). This model directly processes raw raster data, including the target variable along with dynamic and static auxiliary indices. It learns to simulate the system's future state based on its prior state and spatial drivers. To evaluate the model's performance, the Vegetation Health Index (VHI) in Fars province, Iran, was forecast for the 2025–2030 period under three scenarios: (A) without auxiliary indices, (B) with the one dynamic auxiliary index: Normalized Difference Vegetation Index (NDVI), and (C) with both dynamic and static auxiliary indices: NDVI and Digital Elevation Model (DEM). The model was trained using VHI and NDVI imagery from 2003 to 2024. Evaluation results demonstrated that scenario B significantly outperformed scenarios A and C. Furthermore, a direct comparison against a CA-Markov and Conv-LSTM models confirmed the ST-IGeo-GAN's fundamental superiority, as the latter produced forecasts with significantly higher spatial accuracy. This finding suggests that while dynamic drivers are critical for temporal forecasting, the inclusion of less informative static variables can degrade model performance. Additionally, trend analysis for the extended period (2003–2030) under the superior Scenario B projected an emerging tendency towards drier conditions. This highlights a potential shift in the system's variability. The ST-IGeo-GAN framework provides a powerful, data-driven tool for simulating spatiotemporal systems, offering valuable insights for proactive environmental management and risk assessment.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101133"},"PeriodicalIF":5.6,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-16DOI: 10.1016/j.indic.2026.101134
Cristian M. Muñoz-Maluenda , Juan M. Moya-Pérez , Jose A. Navarro-Cano , Miguel A. Esteve
Mining wastes keep soil metal contents above toxicity thresholds many years after abandonment. The physical and chemical infertility of mining tailings makes them prone to high rates of erosion, posing an environmental threat for neighbouring areas. New restoration programs of these wastes might be based on comparative analyses of successful restoration projects.
Here we designed a Tailing Ecological Quality Index (TEQI) to compare the environmental status of nine tailings restored through different techniques across 30 years. These tailings belong to a semiarid mining district from SE Spain. TEQI integrated eight weighted physical, chemical and biological semi-quantitative indices, thus summarizing in a single value an estimate of the current status of a site.
The vegetation growth rate was the main determinant of TEQI, thus contributing to improve physical and ecological conditions. The high bioaccumulation of metals in some of the studied plant species advised against the risk of using them in future restoration projects without an effective waste isolation method. Contrary to what was expected, the results indicated that a higher cost·ha−1 of the project (directly related to higher intervention level), did not guarantee higher success (TEQI) than cheaper and less complex restoration methods. In fact, TEQI was negatively affected by the cost·ha−1 in projects below 0.4 M€·ha−1. Moreover, the closeness to undisturbed vegetation in the tailing neighbourhood contributed to reach a higher TEQI.
This quality index can be adapted as an integrative method to compare other restored ecosystems beyond mining areas through fitting the relative weight of each component.
{"title":"Comparative assessment of restored mine tailings based on an integrative ecological quality index","authors":"Cristian M. Muñoz-Maluenda , Juan M. Moya-Pérez , Jose A. Navarro-Cano , Miguel A. Esteve","doi":"10.1016/j.indic.2026.101134","DOIUrl":"10.1016/j.indic.2026.101134","url":null,"abstract":"<div><div>Mining wastes keep soil metal contents above toxicity thresholds many years after abandonment. The physical and chemical infertility of mining tailings makes them prone to high rates of erosion, posing an environmental threat for neighbouring areas. New restoration programs of these wastes might be based on comparative analyses of successful restoration projects.</div><div>Here we designed a Tailing Ecological Quality Index (TEQI) to compare the environmental status of nine tailings restored through different techniques across 30 years. These tailings belong to a semiarid mining district from SE Spain. TEQI integrated eight weighted physical, chemical and biological semi-quantitative indices, thus summarizing in a single value an estimate of the current status of a site.</div><div>The vegetation growth rate was the main determinant of TEQI, thus contributing to improve physical and ecological conditions. The high bioaccumulation of metals in some of the studied plant species advised against the risk of using them in future restoration projects without an effective waste isolation method. Contrary to what was expected, the results indicated that a higher cost·ha<sup>−1</sup> of the project (directly related to higher intervention level), did not guarantee higher success (TEQI) than cheaper and less complex restoration methods. In fact, TEQI was negatively affected by the cost·ha<sup>−1</sup> in projects below 0.4 M€·ha<sup>−1</sup>. Moreover, the closeness to undisturbed vegetation in the tailing neighbourhood contributed to reach a higher TEQI.</div><div>This quality index can be adapted as an integrative method to compare other restored ecosystems beyond mining areas through fitting the relative weight of each component.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101134"},"PeriodicalIF":5.6,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-15DOI: 10.1016/j.indic.2025.101057
Marjan Bahlekeh , Seyed Hamidreza Sadeghi
The current study will deal with the problem of natural resource degradation, presenting a new, multifaceted approach to the measurement of watershed health. This idea determines the capacity of a watershed to be structurally and functionally sound within a safe operating interval that has its upper (i.e., resilience) and lower (i.e., release) limits. The method extends beyond the analogous concepts by quantitatively prognosing the nearness of a system to highly sensitive breaking points, by providing a dynamically diagnostic framework and management recommendations. The viability was determined at economic, social, infrastructural, and environmental dimensions. Content Validity Ratio (CVR) and Index (CVI) were used to validate criteria refinement with expert input (n = 40) used to refine criteria. A complex viability index was calculated on these criteria, and interrelationships between them investigated by Interpretive Structural Modelling (ISM) and MICMAC analysis. The framework was applied to the Shazand Watershed in Iran and determined a moderate-depletion state with a weighted mean index of viability of 41.46 % (±5.74). Spatial zoning map showed central sub-watersheds to be the most vulnerable. A SDGs-based performance evaluation revealed that SDG 13 (Climate Action) and SDG 3 (Good Health and Well-being) were the most successful (80.63 % and 62.59 %). On the other hand, the lowest scores were received by SDG 17 (Partnerships for the Goals) and SDG 15 (Life on Land) (30.71 % and 33.40 %). The conceptualized model and its pilot application demonstrates a critical and transferable instrument for assessing watershed viability that decision-makers should use to develop comprehensive and specific watershed management plans.
{"title":"A novel watershed viability assessment grounded in global sustainable development goals","authors":"Marjan Bahlekeh , Seyed Hamidreza Sadeghi","doi":"10.1016/j.indic.2025.101057","DOIUrl":"10.1016/j.indic.2025.101057","url":null,"abstract":"<div><div>The current study will deal with the problem of natural resource degradation, presenting a new, multifaceted approach to the measurement of watershed health. This idea determines the capacity of a watershed to be structurally and functionally sound within a safe operating interval that has its upper (i.e., resilience) and lower (i.e., release) limits. The method extends beyond the analogous concepts by quantitatively prognosing the nearness of a system to highly sensitive breaking points, by providing a dynamically diagnostic framework and management recommendations. The viability was determined at economic, social, infrastructural, and environmental dimensions. Content Validity Ratio (CVR) and Index (CVI) were used to validate criteria refinement with expert input (n = 40) used to refine criteria. A complex viability index was calculated on these criteria, and interrelationships between them investigated by Interpretive Structural Modelling (ISM) and MICMAC analysis. The framework was applied to the Shazand Watershed in Iran and determined a moderate-depletion state with a weighted mean index of viability of 41.46 % (±5.74). Spatial zoning map showed central sub-watersheds to be the most vulnerable. A SDGs-based performance evaluation revealed that SDG 13 (Climate Action) and SDG 3 (Good Health and Well-being) were the most successful (80.63 % and 62.59 %). On the other hand, the lowest scores were received by SDG 17 (Partnerships for the Goals) and SDG 15 (Life on Land) (30.71 % and 33.40 %). The conceptualized model and its pilot application demonstrates a critical and transferable instrument for assessing watershed viability that decision-makers should use to develop comprehensive and specific watershed management plans.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101057"},"PeriodicalIF":5.6,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-14DOI: 10.1016/j.indic.2026.101128
Lei Feng , Haoyu Wang , Jiahuan Guo , Xule Zhang , Xiaohua Ma , Yaping Hu , Difei Wu , Qingdi Hu , Jian Zheng
Platycrater arguta, 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 P. arguta sensitivity thresholds to precipitation and UVB radiation, offering a reference model for conserving other subtropical endangered plants.
{"title":"Future climate change will facilitate the distribution expansion of the rare and endangered Platycrater arguta","authors":"Lei Feng , Haoyu Wang , Jiahuan Guo , Xule Zhang , Xiaohua Ma , Yaping Hu , Difei Wu , Qingdi Hu , 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 × 10<sup>4</sup> km<sup>2</sup>. 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":"2026-01-14","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}