Environmental and Sustainability Indicators最新文献_第3页

Asymmetric roles of innovation and renewable energy in shaping carbon emissions in China 创新和可再生能源在中国碳排放中的不对称作用

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2026-06-01 Epub Date: 2026-01-26 DOI: 10.1016/j.indic.2026.101145

Dinh Thi Kim Chung , Vu Ngoc Xuan , Pham Xuan Hoa

Achieving sustained economic growth while reducing carbon emissions remains a central challenge for China's sustainability transition. Despite the rapid expansion of renewable energy capacity and innovation activity, carbon emissions continue to rise, suggesting that the environmental effects of technological progress and energy restructuring may be nonlinear and asymmetric. Understanding whether positive and negative changes in innovation and renewable energy exert different impacts on emissions is therefore fundamental for effective climate and development policies. This study examines the asymmetric relationships between innovation, renewable energy consumption, economic growth, trade openness, and CO₂ emissions in China from 1990 to 2023. The analysis employs a Nonlinear Autoregressive Distributed Lag (NARDL) model as the base framework, allowing positive and negative shocks in innovation and renewable energy to affect emissions differently in the short and long run. Long-run cointegration is examined using the NARDL bounds testing approach, while dynamic multiplier functions trace adjustment paths following asymmetric shocks. Robustness is assessed through alternative lag specifications, a linear ARDL benchmark model, and extensive diagnostic and stability tests, including CUSUM and CUSUMSQ. The results reveal asymmetries. Positive shocks to innovation and renewable energy reduce CO₂ emissions, while negative shocks increase emissions. Economic growth continues to raise emissions. Trade openness raises emissions in the short run. Policies should stabilize R&D, prioritize grid integration and storage, and strengthen links with the emissions trading system.

在实现经济持续增长的同时减少碳排放，仍然是中国向可持续转型的核心挑战。尽管可再生能源产能和创新活动迅速扩张，但碳排放仍在持续上升，这表明技术进步和能源结构调整对环境的影响可能是非线性和不对称的。因此，了解创新和可再生能源的积极和消极变化是否对排放产生不同的影响，对于有效的气候和发展政策至关重要。本文研究了1990 - 2023年中国创新、可再生能源消费、经济增长、贸易开放和二氧化碳排放之间的不对称关系。该分析采用非线性自回归分布滞后（NARDL）模型作为基本框架，允许创新和可再生能源的积极和消极冲击在短期和长期内对排放产生不同的影响。使用NARDL边界检验方法检验长期协整，而动态乘数函数跟踪非对称冲击后的调整路径。鲁棒性通过替代滞后规范、线性ARDL基准模型和广泛的诊断和稳定性测试（包括CUSUM和CUSUMSQ）进行评估。结果揭示了不对称性。对创新和可再生能源的正面冲击减少了二氧化碳排放，而负面冲击则增加了排放。经济增长继续增加排放。贸易开放在短期内会增加排放。政策应稳定研发，优先考虑并网和储能，并加强与排放交易体系的联系。

{"title":"Asymmetric roles of innovation and renewable energy in shaping carbon emissions in China","authors":"Dinh Thi Kim Chung , Vu Ngoc Xuan , Pham Xuan Hoa","doi":"10.1016/j.indic.2026.101145","DOIUrl":"10.1016/j.indic.2026.101145","url":null,"abstract":"<div><div>Achieving sustained economic growth while reducing carbon emissions remains a central challenge for China's sustainability transition. Despite the rapid expansion of renewable energy capacity and innovation activity, carbon emissions continue to rise, suggesting that the environmental effects of technological progress and energy restructuring may be nonlinear and asymmetric. Understanding whether positive and negative changes in innovation and renewable energy exert different impacts on emissions is therefore fundamental for effective climate and development policies. This study examines the asymmetric relationships between innovation, renewable energy consumption, economic growth, trade openness, and CO<sub>2</sub> emissions in China from 1990 to 2023. The analysis employs a Nonlinear Autoregressive Distributed Lag (NARDL) model as the base framework, allowing positive and negative shocks in innovation and renewable energy to affect emissions differently in the short and long run. Long-run cointegration is examined using the NARDL bounds testing approach, while dynamic multiplier functions trace adjustment paths following asymmetric shocks. Robustness is assessed through alternative lag specifications, a linear ARDL benchmark model, and extensive diagnostic and stability tests, including CUSUM and CUSUMSQ. The results reveal asymmetries. Positive shocks to innovation and renewable energy reduce CO<sub>2</sub> emissions, while negative shocks increase emissions. Economic growth continues to raise emissions. Trade openness raises emissions in the short run. Policies should stabilize R&D, prioritize grid integration and storage, and strengthen links with the emissions trading system.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101145"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Simulating categorical environmental dynamics using a Spatio-Temporal Integrated Geographic Generative Adversarial Network framework 使用时空集成地理生成对抗网络框架模拟分类环境动态

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2026-06-01 Epub Date: 2026-01-16 DOI: 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.

为了克服传统模型在模拟离散环境变量方面的局限性，本研究引入了一种新的集成模拟框架：时空集成地理生成对抗网络（ST-IGeo-GAN）。该模型直接处理原始栅格数据，包括目标变量以及动态和静态辅助指标。它学习基于系统的先前状态和空间驱动来模拟系统的未来状态。为了评价模型的性能，对伊朗法尔斯省2025-2030年植被健康指数（VHI）进行了三种情景下的预测：(A)无辅助指数，(B)有一个动态辅助指数：归一化植被指数（NDVI）， (C)有动态和静态辅助指数：NDVI和数字高程模型（DEM）。该模型使用2003 - 2024年的VHI和NDVI图像进行训练。评估结果表明，情景B显著优于情景A和情景c。此外，与CA-Markov模型和convl - lstm模型的直接比较证实了ST-IGeo-GAN的根本优势，因为后者产生的预测具有更高的空间精度。这一发现表明，虽然动态驱动因素对时间预测至关重要，但包含信息较少的静态变量可能会降低模型的性能。此外，在较优情景B下对较长时期（2003-2030年）的趋势分析预测，气候条件将出现越来越干燥的趋势。这突出了系统可变性的潜在转变。ST-IGeo-GAN框架为模拟时空系统提供了强大的数据驱动工具，为主动环境管理和风险评估提供了有价值的见解。

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

引用次数: 0

Early determinants of packaging waste recovery under Iceland's 2023 EPR reform: Evidence from Grey Relational and econometric analysis 冰岛2023年EPR改革下包装废弃物回收的早期决定因素：来自灰色关联和计量经济学分析的证据

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2026-06-01 Epub Date: 2026-01-26 DOI: 10.1016/j.indic.2026.101144

Guðmundur Kristján Óskarsson , Sveinn Agnarsson , Brynhildur Davíðsdóttir

This study examines the early effects of Iceland's 2023 extended producer responsibility (EPR) reform for packaging waste, one of the first nationwide implementations of a fully harmonised, producer-funded system in a small and geographically dispersed country. Using municipal-level data for 2023–2024, the analysis evaluates how socioeconomic, demographic, and infrastructural factors influence per capita collection of packaging paper and plastics. Grey Relational Analysis (GRA) is applied to identify the most influential determinants under limited data conditions, and pooled ordinary least squares (OLS) regression is used to estimate their statistical associations while controlling for region and year.

Results

show that paper recovery increased markedly in 2024, reflecting rapid adaptation to standardised collection, whereas plastic recovery remained largely unchanged. In this early two-year sample, municipal variation appears to be shaped primarily by structural and service-design factors rather than socioeconomic characteristics. A higher ratio of seasonal housing is associated with greater apparent per capita recovery, and a higher share of home collection is linked to lower recovery for both materials. The negative relationship between per capita costs and plastic recovery suggests diminishing returns to expenditure or reflects structural remoteness constraints that raise costs without increasing capture.

The findings highlight the importance of tailoring EPR implementation to the local context. Adjusting performance metrics for seasonal occupancy, optimising the curbside/drop-off collection mix, and refining fee distributions for structurally high-cost municipalities can improve equity and efficiency. Overall, EPR provides the financial and regulatory scaffold, but geography and system design ultimately determine realised recycling outcomes.

本研究考察了冰岛2023年扩大生产者责任（EPR）改革对包装废弃物的早期影响，这是在一个小而地理分散的国家中，第一个在全国范围内实施完全协调的、生产者资助的系统之一。利用2023-2024年的市级数据，该分析评估了社会经济、人口统计和基础设施因素如何影响人均包装纸和塑料的收集。灰色关联分析（GRA）用于识别有限数据条件下最具影响力的决定因素，并使用汇总普通最小二乘（OLS）回归来估计其统计关联，同时控制地区和年份。结果表明，2024年纸张回收率显著增加，反映了对标准化收集的快速适应，而塑料回收率基本保持不变。在前两年的样本中，城市的变化似乎主要是由结构和服务设计因素而不是社会经济特征决定的。较高的季节性住房比例与更大的人均表观回收率有关，较高的家庭收集份额与两种材料的较低回收率有关。人均成本与塑料回收之间的负相关关系表明支出收益递减，或反映了结构上的偏远限制，增加了成本而不增加捕获量。研究结果强调了根据当地情况调整EPR实施的重要性。调整季节性入住率的绩效指标，优化路边/下车收集组合，并为结构上高成本的市政当局改善费用分配，可以提高公平性和效率。总体而言，EPR提供了财政和监管框架，但地理位置和系统设计最终决定了实现的回收结果。

{"title":"Early determinants of packaging waste recovery under Iceland's 2023 EPR reform: Evidence from Grey Relational and econometric analysis","authors":"Guðmundur Kristján Óskarsson , Sveinn Agnarsson , Brynhildur Davíðsdóttir","doi":"10.1016/j.indic.2026.101144","DOIUrl":"10.1016/j.indic.2026.101144","url":null,"abstract":"<div><div>This study examines the early effects of Iceland's 2023 extended producer responsibility (EPR) reform for packaging waste, one of the first nationwide implementations of a fully harmonised, producer-funded system in a small and geographically dispersed country. Using municipal-level data for 2023–2024, the analysis evaluates how socioeconomic, demographic, and infrastructural factors influence per capita collection of packaging paper and plastics. Grey Relational Analysis (GRA) is applied to identify the most influential determinants under limited data conditions, and pooled ordinary least squares (OLS) regression is used to estimate their statistical associations while controlling for region and year.</div></div><div><h3>Results</h3><div>show that paper recovery increased markedly in 2024, reflecting rapid adaptation to standardised collection, whereas plastic recovery remained largely unchanged. In this early two-year sample, municipal variation appears to be shaped primarily by structural and service-design factors rather than socioeconomic characteristics. A higher ratio of seasonal housing is associated with greater apparent per capita recovery, and a higher share of home collection is linked to lower recovery for both materials. The negative relationship between per capita costs and plastic recovery suggests diminishing returns to expenditure or reflects structural remoteness constraints that raise costs without increasing capture.</div><div>The findings highlight the importance of tailoring EPR implementation to the local context. Adjusting performance metrics for seasonal occupancy, optimising the curbside/drop-off collection mix, and refining fee distributions for structurally high-cost municipalities can improve equity and efficiency. Overall, EPR provides the financial and regulatory scaffold, but geography and system design ultimately determine realised recycling outcomes.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101144"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Navigating rural futures: Scenario-Based insights into non-agricultural employment in western Iran 导航农村未来：基于场景的伊朗西部非农业就业洞察

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2026-06-01 Epub Date: 2026-01-10 DOI: 10.1016/j.indic.2026.101129

Samaneh Sanjabi, Amirhossein Alibaygi

Rural communities are increasingly challenged by climate change, declining agricultural productivity, and economic vulnerabilities, highlighting the urgent need for livelihood diversification. This study aims to identify, analyze, and forecast the key driving factors shaping the future of rural non-agricultural employment (RNFE) in the Bilavar district, Kermanshah, Iran. Specifically, the research seeks to (1) determine the main socio-economic and environmental variables influencing RNFE, (2) assess their mutual interactions, and (3) develop plausible future scenarios to support rural policy planning. A mixed-methods design was employed, integrating sustainable development and social capital frameworks. Using MICMAC and Scenario Wizard analytical tools, key drivers and interrelationships were explored to construct alternative futures. Results reveal that government support policies (V3), entrepreneurship and innovation (V4), and rural tourism (V13) emerged as the most influential and strategic drivers of RNFE development. Among the scenarios, balanced growth (Scenario 2) is the most likely, reflecting gradual progress under current conditions, while conservative stability and stagnation (Scenarios 3 and 4) are also plausible. The primary objective to develop a foresight-based framework for rural employment diversification underscores the importance of targeted interventions such as local financial initiatives, market-oriented skills training, and tourism infrastructure development to promote economic diversification, reduce youth migration, and enhance livelihood resilience. The study introduces a novel, futures-oriented analytical framework and offers a practical model applicable to similar rural regions in developing countries.

农村社区日益受到气候变化、农业生产力下降和经济脆弱性的挑战，凸显了生计多样化的迫切需要。本研究旨在识别、分析和预测影响伊朗克尔曼沙阿Bilavar地区农村非农业就业未来的关键驱动因素。具体而言，该研究旨在(1)确定影响农村农村经济发展的主要社会经济和环境变量，(2)评估它们之间的相互作用，以及(3)制定合理的未来情景，以支持农村政策规划。采用混合方法设计，整合可持续发展和社会资本框架。利用MICMAC和Scenario Wizard分析工具，探讨了构建替代未来的关键驱动因素和相互关系。研究结果表明，政府扶持政策（V3）、创业创新（V4）和乡村旅游（V13）是东北地区发展最具影响力的战略驱动力。在这些情景中，平衡增长（情景2）是最有可能的，反映了当前条件下的渐进进展，而保守稳定和停滞（情景3和4）也是有可能的。主要目标是为农村就业多样化制定一个以远见为基础的框架，强调有针对性的干预措施的重要性，如地方金融倡议、市场导向的技能培训和旅游基础设施发展，以促进经济多样化，减少青年移民，增强生计抵御能力。该研究引入了一种新颖的、面向未来的分析框架，并提供了一个适用于发展中国家类似农村地区的实用模型。

{"title":"Navigating rural futures: Scenario-Based insights into non-agricultural employment in western Iran","authors":"Samaneh Sanjabi, Amirhossein Alibaygi","doi":"10.1016/j.indic.2026.101129","DOIUrl":"10.1016/j.indic.2026.101129","url":null,"abstract":"<div><div>Rural communities are increasingly challenged by climate change, declining agricultural productivity, and economic vulnerabilities, highlighting the urgent need for livelihood diversification. This study aims to identify, analyze, and forecast the key driving factors shaping the future of rural non-agricultural employment (RNFE) in the Bilavar district, Kermanshah, Iran. Specifically, the research seeks to (1) determine the main socio-economic and environmental variables influencing RNFE, (2) assess their mutual interactions, and (3) develop plausible future scenarios to support rural policy planning. A mixed-methods design was employed, integrating sustainable development and social capital frameworks. Using MICMAC and Scenario Wizard analytical tools, key drivers and interrelationships were explored to construct alternative futures. Results reveal that government support policies (V3), entrepreneurship and innovation (V4), and rural tourism (V13) emerged as the most influential and strategic drivers of RNFE development. Among the scenarios, balanced growth (Scenario 2) is the most likely, reflecting gradual progress under current conditions, while conservative stability and stagnation (Scenarios 3 and 4) are also plausible. The primary objective to develop a foresight-based framework for rural employment diversification underscores the importance of targeted interventions such as local financial initiatives, market-oriented skills training, and tourism infrastructure development to promote economic diversification, reduce youth migration, and enhance livelihood resilience. The study introduces a novel, futures-oriented analytical framework and offers a practical model applicable to similar rural regions in developing countries.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101129"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bibliometric and systematic evaluation of lichens for biomonitoring in hydrocarbon pollution and mining 地衣在油气污染与开采生物监测中的文献计量学与系统评价

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2026-06-01 Epub Date: 2026-02-10 DOI: 10.1016/j.indic.2026.101172

Ingrid Milagros Iliquin-Inga , Anthony Apolinario Cortez-Lázaro , Dalila Irene Villanueva-Cadenas , Pablo Rituay , Jessy P. Arista , Jorge Ronny Díaz-Valderrama

Hydrocarbon pollution from oil spills, traffic emissions, and industrial processes continues to be a significant global threat to biodiversity, soil quality, water quality, and human health. Lichens, mutualistic life forms between fungi and photobiont symbionts that lack a protective cuticle, are widely used as biomonitors because they integrate atmospheric inputs and accumulate organic and inorganic contaminants. However, evidence for lichen-based hydrocarbon biomonitoring is methodologically heterogeneous, with limited comparability across studies regarding taxon selection, analytical endpoints, exposure design, and reporting practices. Here, we combine a global bibliometric analysis with a systematic review to map research trends in environments influenced by mining, where co-exposure to metals is frequently reported alongside organic fractions. The literature shows the recurrent use of taxa such as Xanthoria parietina, Pseudevernia furfuracea, Evernia mesomorpha, Cladonia mitis, and Hypogymnia physodes, but there is substantial variability in the measured variables and protocols. Polycyclic aromatic hydrocarbons and total petroleum-related fractions are the primary organic targets across studies, often accompanied by metal tracers (e.g., Hg, As, Pb, Cu) for source attribution and characterization of co-pollutants. We highlight implications for environmental monitoring in resource-limited regions and propose priority elements for standardization to improve reproducibility and cross-study synthesis.

石油泄漏、交通排放和工业过程造成的碳氢化合物污染继续对全球生物多样性、土壤质量、水质和人类健康构成重大威胁。地衣是真菌和光生物共生体之间的共生生命形式，缺乏保护角质层，因其整合大气输入并积累有机和无机污染物而被广泛用作生物监测仪。然而，基于地衣的碳氢化合物生物监测的证据在方法上是不一致的，在分类单元选择、分析终点、暴露设计和报告实践方面，研究之间的可比性有限。在这里，我们将全球文献计量学分析与系统综述相结合，绘制了受采矿影响环境的研究趋势图，在这些环境中，金属与有机组分的共同暴露经常被报道。文献显示反复使用的分类群，如顶黄病菌、糠皮假病菌、中叶黄病菌、mitis Cladonia和Hypogymnia physodes，但在测量的变量和方案上有很大的差异。多环芳烃和总石油相关馏分是所有研究的主要有机目标，通常伴随着金属示踪剂（例如，Hg, As, Pb, Cu），用于源归属和共污染物的表征。我们强调了资源有限地区环境监测的意义，并提出了标准化的优先要素，以提高可重复性和交叉研究的综合。

{"title":"Bibliometric and systematic evaluation of lichens for biomonitoring in hydrocarbon pollution and mining","authors":"Ingrid Milagros Iliquin-Inga , Anthony Apolinario Cortez-Lázaro , Dalila Irene Villanueva-Cadenas , Pablo Rituay , Jessy P. Arista , Jorge Ronny Díaz-Valderrama","doi":"10.1016/j.indic.2026.101172","DOIUrl":"10.1016/j.indic.2026.101172","url":null,"abstract":"<div><div>Hydrocarbon pollution from oil spills, traffic emissions, and industrial processes continues to be a significant global threat to biodiversity, soil quality, water quality, and human health. Lichens, mutualistic life forms between fungi and photobiont symbionts that lack a protective cuticle, are widely used as biomonitors because they integrate atmospheric inputs and accumulate organic and inorganic contaminants. However, evidence for lichen-based hydrocarbon biomonitoring is methodologically heterogeneous, with limited comparability across studies regarding taxon selection, analytical endpoints, exposure design, and reporting practices. Here, we combine a global bibliometric analysis with a systematic review to map research trends in environments influenced by mining, where co-exposure to metals is frequently reported alongside organic fractions. The literature shows the recurrent use of taxa such as <em>Xanthoria parietina</em>, <em>Pseudevernia furfuracea</em>, <em>Evernia mesomorpha</em>, <em>Cladonia mitis</em>, and <em>Hypogymnia physodes</em>, but there is substantial variability in the measured variables and protocols. Polycyclic aromatic hydrocarbons and total petroleum-related fractions are the primary organic targets across studies, often accompanied by metal tracers (<em>e.g.</em>, Hg, As, Pb, Cu) for source attribution and characterization of co-pollutants. We highlight implications for environmental monitoring in resource-limited regions and propose priority elements for standardization to improve reproducibility and cross-study synthesis.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101172"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative assessment of restored mine tailings based on an integrative ecological quality index 基于综合生态质量指数的恢复尾矿对比评价

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2026-06-01 Epub Date: 2026-01-16 DOI: 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.

采矿废弃物在废弃多年后仍保持土壤金属含量高于毒性阈值。采矿尾矿的物理和化学不育性使它们容易受到高度侵蚀，对邻近地区构成环境威胁。新的废物修复方案可以在对成功的修复方案进行比较分析的基础上制定。本文设计了尾矿生态质量指数（TEQI），比较了不同工艺修复的9种尾矿30年来的环境状况。这些尾矿属于西班牙东南部的半干旱矿区。TEQI综合了八个加权的物理、化学和生物半定量指标，从而在一个单一的值中总结了对一个地点现状的估计。植被生长速率是TEQI的主要决定因素，有助于改善物理和生态条件。由于金属在某些被研究的植物物种中具有较高的生物蓄积性，建议在没有有效的废物隔离方法的情况下，避免在未来的修复项目中使用它们。与预期相反，结果表明，与成本更低、更简单的修复方法相比，较高的项目成本（与较高的干预水平直接相关）并不能保证更高的修复成功率（TEQI）。事实上，在低于40万欧元·ha - 1的项目中，TEQI受到成本·ha - 1的负面影响。此外，尾矿库周边与未受干扰植被的接近程度有助于达到较高的TEQI。通过拟合各组成部分的相对权重，该质量指数可以作为一种综合方法来比较矿区以外的其他恢复生态系统。

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

引用次数: 0

Physical and socio-economic drought vulnerability in a high-risk local government unit of the Bicol River Basin, Philippines 菲律宾比科尔河流域一个高风险地方政府单位的物质和社会经济干旱脆弱性

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2026-06-01 Epub Date: 2026-02-10 DOI: 10.1016/j.indic.2026.101177

Ernie Nograles Bañares , Muhammad Shafqat Mehboob , Manas Ranjan Panda

Climate change–driven drought increasingly threatens water security and community resilience in climate-sensitive watersheds like the Bicol River Basin (BRB) in the Philippines, highlighting the urgent need for sustainable watershed management. This study evaluates the drought vulnerability of selected local government units (LGUs) in water-stressed areas of the BRB. Using a quantitative approach, the research integrates primary data (socio-demographics, water usage, watershed practices) and secondary sources (field observations and literature). A stratified random sampling approach was employed in a March 2025 survey conducted in selected barangays of the BRB, involving 98 household residents (n = 98). Thereafter, 11 indicators across social, economic, and physical dimensions were selected, normalized and weighted using the Analytic Hierarchy Process (AHP) to construct a Physical and Socio-Economic Drought Vulnerability Index (PSE-DVI), categorizing vulnerability into Low (0-0.25), Moderate (0.26-0.50), High (0.51-0.75), and Very High (0.75-1.00) levels. Results indicate that the economic dimension exhibits the highest vulnerability range (0.43–0.99), making it the most influential factor, followed by physical conditions (0.00–0.81). The social vulnerability indicator shows a comparatively moderate range (0.39–0.56). Moreover, clear disparities across the five barangays are observed, with economically constrained and upland communities exhibiting higher vulnerability due to reduced water access, limited infrastructure, and reliance on climate-sensitive livelihoods. To address these gaps, the study proposed an Integrated Watershed Management (IWM) plan that converts assessment results into practical, locally tailored actions to improve drought preparedness and watershed governance.

气候变化导致的干旱日益威胁着菲律宾比科尔河流域（BRB）等气候敏感流域的水安全和社区恢复力，凸显了对可持续流域管理的迫切需要。本研究对BRB缺水地区部分地方政府单位（lgu）的干旱脆弱性进行了评估。该研究采用定量方法，综合了主要数据（社会人口统计、用水、流域实践）和次要来源（实地观察和文献）。本文采用分层随机抽样方法，于2025年3月在BRB选定的村庄进行调查，涉及98户居民（n = 98）。随后，选取社会、经济和物理维度的11个指标，采用层次分析法（AHP）进行归一化和加权，构建了物理和社会经济干旱脆弱性指数（se - dvi），将脆弱性分为低（0-0.25）、中（0.26-0.50）、高（0.51-0.75）和极高（0.75-1.00）四个级别。结果表明，经济维度的脆弱性范围最大（0.43 ~ 0.99），是影响最大的因素，其次是物理条件（0.00 ~ 0.81）。社会脆弱性指数的范围相对适中（0.39-0.56）。此外，五个村之间存在明显的差异，经济受限和高地社区由于水资源减少、基础设施有限以及依赖气候敏感型生计而表现出更高的脆弱性。为了解决这些差距，该研究提出了一项流域综合管理（IWM）计划，该计划将评估结果转化为实际的、适合当地的行动，以改善干旱防范和流域治理。

{"title":"Physical and socio-economic drought vulnerability in a high-risk local government unit of the Bicol River Basin, Philippines","authors":"Ernie Nograles Bañares , Muhammad Shafqat Mehboob , Manas Ranjan Panda","doi":"10.1016/j.indic.2026.101177","DOIUrl":"10.1016/j.indic.2026.101177","url":null,"abstract":"<div><div>Climate change–driven drought increasingly threatens water security and community resilience in climate-sensitive watersheds like the Bicol River Basin (BRB) in the Philippines, highlighting the urgent need for sustainable watershed management. This study evaluates the drought vulnerability of selected local government units (LGUs) in water-stressed areas of the BRB. Using a quantitative approach, the research integrates primary data (socio-demographics, water usage, watershed practices) and secondary sources (field observations and literature). A stratified random sampling approach was employed in a March 2025 survey conducted in selected barangays of the BRB, involving 98 household residents (<em>n</em> = <em>98</em>). Thereafter, 11 indicators across social, economic, and physical dimensions were selected, normalized and weighted using the Analytic Hierarchy Process (AHP) to construct a Physical and Socio-Economic Drought Vulnerability Index (PSE-DVI), categorizing vulnerability into Low (0-0.25), Moderate (0.26-0.50), High (0.51-0.75), and Very High (0.75-1.00) levels. Results indicate that the economic dimension exhibits the highest vulnerability range (0.43–0.99), making it the most influential factor, followed by physical conditions (0.00–0.81). The social vulnerability indicator shows a comparatively moderate range (0.39–0.56). Moreover, clear disparities across the five barangays are observed, with economically constrained and upland communities exhibiting higher vulnerability due to reduced water access, limited infrastructure, and reliance on climate-sensitive livelihoods. To address these gaps, the study proposed an Integrated Watershed Management (IWM) plan that converts assessment results into practical, locally tailored actions to improve drought preparedness and watershed governance.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101177"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Inequality and the driving forces of carbon emissions from urban and rural household consumption in China 中国城乡家庭消费的不平等与碳排放驱动力

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2026-06-01 Epub Date: 2026-02-10 DOI: 10.1016/j.indic.2026.101176

Meijie Wu , Zhiwen Li

Household consumption is emerging as a significant source of carbon emissions growth; however, embedded equity concerns, particularly the mechanisms underlying urban–rural carbon inequality, remain inadequately explored. This study examined the trends, sources, and driving mechanisms of carbon inequality in household consumption between urban and rural residents in China from 2005 to 2022. The findings reveal that while carbon emissions from households continue to rise and the absolute urban–rural gap widens, relative inequality has narrowed. Structurally, the decline in inequality is primarily attributable to a reduction in within-group disparities, particularly in rural areas. Regarding the driving factors, the dominant role of income inequality weakened, inequality in consumption propensity exerted a persistent suppressive effect, and inequality in the carbon intensity emerged as a new driving force. Findings from the decomposition analysis reveal that household income is the primary and persistent driver of the growth in urban–rural per capita consumption-based carbon emissions, with the income effect in urban areas being several times that in rural areas. By contrast, carbon intensity acts as a mitigating factor, with its inhibitory effect growing steadily, whereas the role of the propensity to consume is limited. Further analysis indicates that the driving factors exhibit spatial heterogeneity at the provincial level. These findings provide critical insights into the evolving landscape of consumption-based carbon inequality in urban and rural China.

家庭消费正在成为碳排放增长的一个重要来源；然而，深层次的公平问题，特别是城乡碳不平等背后的机制，仍未得到充分探讨。本研究考察了2005 - 2022年中国城乡居民家庭消费碳不平等的趋势、来源及驱动机制。研究结果显示，虽然家庭碳排放量继续上升，城乡绝对差距扩大，但相对不平等已经缩小。从结构上看，不平等现象的减少主要是由于群体内部差距的减少，特别是在农村地区。从驱动因素来看，收入不平等的主导作用减弱，消费倾向不平等的抑制作用持续存在，碳强度不平等成为新的驱动因素。分解分析的结果表明，家庭收入是城乡人均消费碳排放增长的主要和持续驱动力，城市地区的收入效应是农村地区的数倍。碳强度作为缓解因素，其抑制作用稳步增强，而消费倾向的作用有限。进一步分析表明，在省级层面上，驱动因素表现出空间异质性。这些发现为了解中国城乡基于消费的碳不平等的演变格局提供了重要见解。

{"title":"Inequality and the driving forces of carbon emissions from urban and rural household consumption in China","authors":"Meijie Wu , Zhiwen Li","doi":"10.1016/j.indic.2026.101176","DOIUrl":"10.1016/j.indic.2026.101176","url":null,"abstract":"<div><div>Household consumption is emerging as a significant source of carbon emissions growth; however, embedded equity concerns, particularly the mechanisms underlying urban–rural carbon inequality, remain inadequately explored. This study examined the trends, sources, and driving mechanisms of carbon inequality in household consumption between urban and rural residents in China from 2005 to 2022. The findings reveal that while carbon emissions from households continue to rise and the absolute urban–rural gap widens, relative inequality has narrowed. Structurally, the decline in inequality is primarily attributable to a reduction in within-group disparities, particularly in rural areas. Regarding the driving factors, the dominant role of income inequality weakened, inequality in consumption propensity exerted a persistent suppressive effect, and inequality in the carbon intensity emerged as a new driving force. Findings from the decomposition analysis reveal that household income is the primary and persistent driver of the growth in urban–rural per capita consumption-based carbon emissions, with the income effect in urban areas being several times that in rural areas. By contrast, carbon intensity acts as a mitigating factor, with its inhibitory effect growing steadily, whereas the role of the propensity to consume is limited. Further analysis indicates that the driving factors exhibit spatial heterogeneity at the provincial level. These findings provide critical insights into the evolving landscape of consumption-based carbon inequality in urban and rural China.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101176"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing sustainability in agriculture water management: Insights from literature 推进农业水管理的可持续性：来自文献的见解

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2026-06-01 Epub Date: 2026-02-02 DOI: 10.1016/j.indic.2026.101142

Bishal Dahal , Tamara Avellán , Ali Torabi Haghighi , Bjørn Kløve

The rising demand for food, escalating water security, the impact of climate change, and global policy initiatives have heightened research focus on sustainability in agricultural water management. However, the field suffers from a lack of conceptual coherence and the persistence of conceptual ambiguity, resulting in limited transferable knowledge production. This study addresses these gaps through a systematic review using the Search, Appraisal, Synthesis, and Analysis (SALSA) framework, encompassing literature published by the end of 2021. Quantitative bibliometric analysis revealed an upsurge in literature (an average annual increase of 33.88% from 1970 to 2021), reflecting alignment with scientific priorities and global policy initiatives. However, conceptual advancement has not kept pace with this rising volume. Keyword proliferation and disciplinary concentration indicate ongoing ambiguity, with sustainability often framed through environmentally centric and context-specific perspectives. The economic and social pillars remain insufficiently explored, and the production of knowledge is disproportionately centered in the Global North. Qualitative synthesis evidence, definitional plurality, and methodological diversity, hindering comparability and transferability across contexts. We integrate our findings into a cohesive thematic structure based on the three pillars of sustainability. Conceptual consolidation and consistent application of sustainability principles require a shift toward more integrative research practices. For this, we recommend focusing on stakeholder co-production, inclusive research agenda, expanded coverage of all three pillars, and increased representation from the Global South.

不断增长的粮食需求、不断升级的水安全、气候变化的影响以及全球政策举措使农业水管理的可持续性研究受到高度关注。然而，该领域缺乏概念一致性和概念模糊性的持续存在，导致有限的可转移知识生产。本研究通过使用搜索、评估、综合和分析（SALSA）框架进行系统审查，包括到2021年底发表的文献，解决了这些差距。定量文献计量分析显示，文献数量激增（从1970年到2021年平均每年增长33.88%），反映了与科学优先事项和全球政策举措的一致性。然而，概念上的进步并没有跟上这一增长的速度。关键词的扩散和学科的集中表明了持续的模糊性，可持续性通常通过以环境为中心和特定环境的视角来构建。经济和社会支柱仍未得到充分探索，知识生产不成比例地集中在全球北方。定性综合证据，定义的多样性和方法的多样性，阻碍了跨上下文的可比性和可转移性。我们将我们的研究结果整合到一个基于可持续性三大支柱的有凝聚力的主题结构中。概念性的巩固和可持续性原则的一致应用需要转向更综合的研究实践。为此，我们建议将重点放在利益相关者合作生产、包容性研究议程、扩大所有三大支柱的覆盖范围以及增加全球南方的代表性上。

{"title":"Advancing sustainability in agriculture water management: Insights from literature","authors":"Bishal Dahal , Tamara Avellán , Ali Torabi Haghighi , Bjørn Kløve","doi":"10.1016/j.indic.2026.101142","DOIUrl":"10.1016/j.indic.2026.101142","url":null,"abstract":"<div><div>The rising demand for food, escalating water security, the impact of climate change, and global policy initiatives have heightened research focus on sustainability in agricultural water management. However, the field suffers from a lack of conceptual coherence and the persistence of conceptual ambiguity, resulting in limited transferable knowledge production. This study addresses these gaps through a systematic review using the Search, Appraisal, Synthesis, and Analysis (SALSA) framework, encompassing literature published by the end of 2021. Quantitative bibliometric analysis revealed an upsurge in literature (an average annual increase of 33.88% from 1970 to 2021), reflecting alignment with scientific priorities and global policy initiatives. However, conceptual advancement has not kept pace with this rising volume. Keyword proliferation and disciplinary concentration indicate ongoing ambiguity, with sustainability often framed through environmentally centric and context-specific perspectives. The economic and social pillars remain insufficiently explored, and the production of knowledge is disproportionately centered in the Global North. Qualitative synthesis evidence, definitional plurality, and methodological diversity, hindering comparability and transferability across contexts. We integrate our findings into a cohesive thematic structure based on the three pillars of sustainability. Conceptual consolidation and consistent application of sustainability principles require a shift toward more integrative research practices. For this, we recommend focusing on stakeholder co-production, inclusive research agenda, expanded coverage of all three pillars, and increased representation from the Global South.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101142"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A multi-stage strategy and geoscience knowledge-based method for shoreline extraction from Landsat time-series 基于地球科学知识的Landsat时间序列海岸线提取多阶段策略

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2026-06-01 Epub Date: 2026-01-30 DOI: 10.1016/j.indic.2026.101153

Chao Chen , Shuo Lv , Ni Kong , Miao Li , Ziyao Jin , Xinping Yan , Aoxiang Zhu , Xiaoyan Yang , Jian Gao

Shoreline resources constitute one of the most critical terrestrial elements, as they play a pivotal role in fluvial-lacustrine monitoring and the sustainable utilization of spatial resources. As the longest and most economically significant river in China, the Yangtze River exhibits several unique geographical attributes, and as such, research on the spatiotemporal evolution and precise spatial delineation of its shoreline is important. Taking into account the complexity of the geographical environment, the study proposed a multi-stage strategy and geoscience knowledge-based method for shoreline extraction from Landsat time-series data. Longitudinal variations, spatial displacement, and interbank disparities between the northern and southern shores of the Yangtze River, China have been quantitatively assessed, supported by a shoreline change rate model was developed using the Digital Shoreline Analysis System. The results demonstrated a high level of accuracy in shoreline spatial positioning, with clearly demarcated land–water boundaries. From 1990 to 2020, the total shoreline length exhibited a net increase from 12,645.02 km to 13,637.42 km. Both the northern and southern shores displayed synchronous elongation trends, peaking in 2010 before subsequent retreat. Linear regression rate and end point rate analyses revealed overall stability in these migration trends but pronounced interbank heterogeneity. The southern shore exhibited significantly greater linear regression and end point rate variability than the northern shore (P < 0.05), indicative of the stronger synergistic impacts from anthropogenic and natural drivers in that area. This study establishes a framework for high-resolution dynamic monitoring of shorelines along large river systems and elucidates the spatial differentiation mechanisms governing the fluvial evolution of shorelines. The findings provide empirical support for optimizing shoreline resource allocation, delineating environmental conservation boundaries, and implementing the “Yangtze River Conservation Strategy,” thereby advancing the capacity of regional sustainable development and spatial governance.

岸线资源是最重要的陆地要素之一，在河湖监测和空间资源可持续利用中起着举足轻重的作用。长江作为中国最长、最具经济意义的河流，具有许多独特的地理属性，因此，研究长江岸线的时空演变和精确的空间圈定具有重要意义。考虑到地理环境的复杂性，本研究提出了一种基于地球科学知识的多阶段Landsat时间序列岸线提取策略。利用数字岸线分析系统开发的岸线变化率模型，对中国长江南北岸线的纵向变化、空间位移和银行间差异进行了定量评估。结果表明，岸线空间定位精度较高，陆水边界划分清晰。从1990年到2020年，岸线总长度从12645.02 km净增加到13637.42 km。南北海岸均呈现同步延伸趋势，在2010年达到峰值，随后回落。线性回归率和终点率分析显示，这些移民趋势总体稳定，但银行间异质性明显。南岸的线性回归和终点速率变异性显著大于北岸（P < 0.05），表明该地区的人为和自然驱动因素的协同影响更强。本研究建立了大型水系岸线高分辨率动态监测框架，阐明了岸线河流演化的空间分异机制。研究结果可为优化岸线资源配置、划定环境保护边界、实施“长江保护战略”提供实证支持，从而提升区域可持续发展能力和空间治理能力。

{"title":"A multi-stage strategy and geoscience knowledge-based method for shoreline extraction from Landsat time-series","authors":"Chao Chen , Shuo Lv , Ni Kong , Miao Li , Ziyao Jin , Xinping Yan , Aoxiang Zhu , Xiaoyan Yang , Jian Gao","doi":"10.1016/j.indic.2026.101153","DOIUrl":"10.1016/j.indic.2026.101153","url":null,"abstract":"<div><div>Shoreline resources constitute one of the most critical terrestrial elements, as they play a pivotal role in fluvial-lacustrine monitoring and the sustainable utilization of spatial resources. As the longest and most economically significant river in China, the Yangtze River exhibits several unique geographical attributes, and as such, research on the spatiotemporal evolution and precise spatial delineation of its shoreline is important. Taking into account the complexity of the geographical environment, the study proposed a multi-stage strategy and geoscience knowledge-based method for shoreline extraction from Landsat time-series data. Longitudinal variations, spatial displacement, and interbank disparities between the northern and southern shores of the Yangtze River, China have been quantitatively assessed, supported by a shoreline change rate model was developed using the Digital Shoreline Analysis System. The results demonstrated a high level of accuracy in shoreline spatial positioning, with clearly demarcated land–water boundaries. From 1990 to 2020, the total shoreline length exhibited a net increase from 12,645.02 km to 13,637.42 km. Both the northern and southern shores displayed synchronous elongation trends, peaking in 2010 before subsequent retreat. Linear regression rate and end point rate analyses revealed overall stability in these migration trends but pronounced interbank heterogeneity. The southern shore exhibited significantly greater linear regression and end point rate variability than the northern shore (<em>P</em> < 0.05), indicative of the stronger synergistic impacts from anthropogenic and natural drivers in that area. This study establishes a framework for high-resolution dynamic monitoring of shorelines along large river systems and elucidates the spatial differentiation mechanisms governing the fluvial evolution of shorelines. The findings provide empirical support for optimizing shoreline resource allocation, delineating environmental conservation boundaries, and implementing the “Yangtze River Conservation Strategy,” thereby advancing the capacity of regional sustainable development and spatial governance.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101153"},"PeriodicalIF":5.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0