Environmental and Sustainability Indicators最新文献_第7页

Nature-based health initiatives: A governance assessment tool based on indicators 基于自然的卫生举措：基于指标的治理评估工具

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-11 DOI: 10.1016/j.indic.2025.101085

Alessandra Rigo, Laura Secco, Elena Pisani

Nature-based health initiatives (NbHIs) are emerging as innovative approaches to promoting human well-being and environmental sustainability. However, a standardised method to evaluate the multi-actor, multi-level, and multi-sector governance required for their implementation is lacking. This study addresses this gap by presenting an evaluation tool empirically tested through a multi-case study involving three NbHIs at different stages of development in North-Eastern Italy. Data were collected through 20 in-depth structured interviews with experts and 27 online questionnaires completed by the initiative participants. A total of 152 governance indicators were derived and hierarchically aggregated into a composite index, designed to capture the multidimensional and context-sensitive nature of NbHI governance, based on a purpose-built conceptual framework. The findings highlight that overall governance performance does not align uniformly across all dimensions and components of the framework. This variability is shaped by governance-related and contextual factors, such as the composition of the actor network and the maturity stage of each initiative. The proposed methodology provides a practical and adaptable tool for monitoring and evaluating the governance of NbHIs, helping to identify strengths and weaknesses and offering guidance for targeted improvements. It enhances understanding of how these initiatives can generate meaningful environmental and health outcomes through stronger cross-sectoral collaboration, providing evidence to support their integration into both health and environmental policy agendas. Finally, the study illustrates the application of the tool by offering case-specific recommendations and actionable insights for practitioners involved in the design and implementation of NbHIs.

基于自然的健康倡议（NbHIs）正在成为促进人类福祉和环境可持续性的创新方法。然而，缺乏一种标准化的方法来评估其实施所需的多参与者、多层次和多部门治理。本研究提出了一种评估工具，通过对意大利东北部处于不同发展阶段的三家NbHIs的多案例研究进行了实证检验，从而解决了这一差距。数据是通过与专家的20次深度结构化访谈和由倡议参与者完成的27份在线问卷收集的。根据专门构建的概念框架，共推导出152项治理指标，并按层次将其汇总为一个复合指数，旨在捕捉NbHI治理的多维性和上下文敏感性。研究结果强调，总体治理绩效在框架的所有维度和组件之间并不一致。这种可变性是由治理相关的和上下文因素形成的，例如参与者网络的组成和每个计划的成熟阶段。所建议的方法为监测和评估NbHIs的治理提供了一种实用且适应性强的工具，有助于确定优势和劣势，并为有针对性的改进提供指导。它增进了对这些举措如何能够通过更强有力的跨部门合作产生有意义的环境和健康成果的理解，并提供证据支持将这些举措纳入卫生和环境政策议程。最后，该研究通过为参与NbHIs设计和实施的从业者提供具体案例建议和可操作的见解来说明该工具的应用。

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引用次数: 0

Asymmetric effects of environmental taxes, growth, and renewable energy on consumption-based CO2 emissions in Italy 环境税、经济增长和可再生能源对意大利基于消费的二氧化碳排放的不对称影响

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-10 DOI: 10.1016/j.indic.2025.101086

Seyed Alireza Athari , Eric Tieku Agyemang , Dervis Kirikkaleli

The reduction of consumption-based carbon dioxide emissions (CO₂) is crucial to attaining sustainable development goals, protecting the ecosystem, combating global warming, and preserving biodiversity for a better future. Based on this purpose, the current study aims to investigate the impact of environmental taxes, economic growth, and renewable energy on CO₂ emissions in Italy, using the nonlinear ARDL bounds test. The findings of the study reveal that (i) CO₂ emissions, environmental taxes, economic growth, and renewable energy variables are cointegrated; (ii) a 1 % increase in environmental taxes is equivalent to about a 0.08 million metric tonnes decrease in emissions, but a negative shock insignificantly affects CO₂. (iii) There is an increase in CO₂ by 1.84 million metric tonnes for every 1 US dollar increase in GDP, but a negative shock insignificantly affects CO₂; (iv) For every 1 % increase in renewable energy, CO₂ decreases by 0.007 million metric tonnes. In line with empirical findings, Italy should strategically increase environmental taxes to consistently curb CO₂ emissions. Decouple economic growth from environmental damage by incentivizing green investment and innovation. Accelerate the renewable energy transition through subsidies and infrastructure to ensure it permanently reduces emissions, even during economic downturns.

减少以消费为基础的二氧化碳排放对于实现可持续发展目标、保护生态系统、应对全球变暖和保护生物多样性以创造更美好的未来至关重要。基于这一目的，本研究旨在利用非线性ARDL边界检验，探讨环境税、经济增长和可再生能源对意大利二氧化碳排放的影响。研究结果表明：(1)CO2排放、环境税收、经济增长和可再生能源变量是协整的；（ii）增加1%的环境税相当于减少约0.08万公吨的排放量，但负面冲击对二氧化碳的影响不显著。国内总产值每增加1美元，二氧化碳就增加184万公吨，但负面冲击对二氧化碳的影响不大；（iv）可再生能源每增加1%，二氧化碳就减少0.007万公吨。根据实证研究结果，意大利应该战略性地增加环境税，以持续遏制二氧化碳排放。通过鼓励绿色投资和创新，使经济增长与环境破坏脱钩。通过补贴和基础设施建设加速可再生能源转型，确保即使在经济低迷时期也能永久减少排放。

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引用次数: 0

Digital rural development and the alleviation of the urban-rural digital divide: An analysis based on the theory of co-production 数字农村发展与城乡数字鸿沟的缓解：基于合作生产理论的分析

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-09 DOI: 10.1016/j.indic.2025.101066

Wei Wang , Xiang Li , Manman Cheng , Weikun Zhang , Bin Zhang

The development of digital villages represents a critical pathway for dismantling the urban-rural dual structure and promoting inclusive digital development. This study moves beyond the traditional framework of technological determinism by adopting the lens of co-production theory. It constructs a three-dimensional analytical framework-“co-construction of rules-resource integration-dynamic feedback”-to reveal how digital village initiatives, under conditions of multi-actor interaction, contribute to narrowing the urban-rural digital divide. Drawing on panel data from 30 Chinese provinces between 2013 and 2021, the study employs a global entropy method to measure the level of digital village development and utilizes dynamic Qualitative Comparative Analysis (QCA) to identify configurational paths that contribute to the reduction of the digital divide. The key findings are as follows. Digital village development significantly reduces the urban-rural digital divide through synergistic mechanisms involving institutional rule optimization, complementary resource allocation, and data-driven feedback. The core mechanism lies in the coupling effect between technological diffusion and the transformation of governance paradigms. Three distinct configurational paths are identified for alleviating the digital divide: the“Service-Space Synergistic Optimization”model centered on digitalized public services and spatial connectivity; the “Digital-Spatial Resilience Matching”model based on robust digital infrastructure and adaptable population mobility; and the“Digital-Industrial Co-evolution”model driven by the digital restructuring of industrial chains. These configurations under-score the non-linear synergy among diverse actors and the resulting amplifying effects. Regional heterogeneity reveals that in eastern regions, the“technological siphoning effect”intensifies the divide, whereas central and western regions achieve reverse convergence through institutional equity and spatial rebalancing strategies. Based on these insights, the study proposes a triadic governance framework integrating institutions, technology, and society. It emphasizes the importance of dynamically adaptive policy tools, the dual empowerment of human capital and ecological value, and the urgent need to overcome the pitfalls of“technological monism.”These findings offer both theoretical grounding and practical guidance for the advancement of digital villages and the broader goal of common prosperity.

发展数字村庄是打破城乡二元结构、促进包容性数字发展的重要途径。本研究采用合作生产理论的视角，超越了技术决定论的传统框架。构建了“规则共建-资源整合-动态反馈”的三维分析框架，揭示了多主体互动条件下数字村倡议对缩小城乡数字鸿沟的促进作用。本研究利用2013 - 2021年中国30个省份的面板数据，采用全局熵法衡量数字村的发展水平，并利用动态定性比较分析（QCA）找出有助于缩小数字鸿沟的配置路径。主要发现如下。数字村发展通过制度规则优化、资源互补配置和数据驱动反馈等协同机制显著缩小城乡数字鸿沟。其核心机制在于技术扩散与治理范式转换之间的耦合效应。本文确定了缓解数字鸿沟的三种不同的配置路径：以数字化公共服务和空间连通性为中心的“服务-空间协同优化”模式；基于稳健数字基础设施和适应性人口流动的“数字-空间弹性匹配”模型；以产业链数字化重组为驱动的“数字-产业协同进化”模式。这些配置强调了不同行为者之间的非线性协同作用以及由此产生的放大效应。区域异质性表明，东部地区的“技术虹吸效应”加剧了差距，而中西部地区通过制度公平和空间再平衡战略实现了反向趋同。基于这些见解，本研究提出了一个整合制度、技术和社会的三元治理框架。它强调了动态适应政策工具的重要性，人力资本和生态价值的双重赋权，以及克服“技术一元论”陷阱的迫切需要。这些发现为推进数字村庄建设和实现共同繁荣的更广泛目标提供了理论基础和实践指导。

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引用次数: 0

Coastal sustainability responsibility model: A PLS-SEM analysis of knowledge, attitudes, decision-making, and behavior in Indonesian coastal communities 沿海可持续发展责任模型：印尼沿海社区的知识、态度、决策和行为的PLS-SEM分析

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-09 DOI: 10.1016/j.indic.2025.101083

Saparuddin , Hadi Suwono , Sitoresmi Prabaningtyas

Coastal environmental sustainability is largely shaped by the responsibility of local communities in preserving coastal ecosystems. However, limited empirical research has examined the psychosocial mechanisms that underpin this responsibility. This study aims to examine the psychosocial factors influencing coastal sustainability responsibility, including knowledge, attitudes, decision-making, and behavior. A cross-sectional survey design was employed, using Structural Equation Modeling (SEM) with data from 450 coastal community respondents in Bulukumba Regency, Indonesia. Data were collected through online questionnaires and analyzed to assess both direct and mediating effects among variables. The findings indicate that decision-making (β = 0.464; p < 0.001) and behavior (β = 0.455; p < 0.001) significantly shape sustainability responsibility, whereas knowledge does not directly predict behavior (β = 0.003; p = 0.882). Attitudes strongly influence decision-making (β = 0.608; p < 0.001) but show no direct effect on responsibility (β = 0.012; p = 0.716), highlighting the pivotal role of psychological mediation in shaping responsibility. Mediation analysis further confirmed the indirect influence of knowledge on responsibility through attitudes, decision-making, and behavior, with significant path coefficients (β = 0.21; p < 0.001). These results underscore the importance of strengthening decision-making skills and pro-environmental behaviors in coastal education and policy interventions. The novelty of this study lies in positioning responsibility as the primary outcome within the conceptual Coastal Sustainability Responsibility (CSR) model, offering both theoretical and practical contributions to the coastal sustainability literature.

沿海环境的可持续性很大程度上取决于当地社区在保护沿海生态系统方面的责任。然而，有限的实证研究已经检查了支持这一责任的社会心理机制。本研究旨在探讨影响沿海可持续发展责任的心理社会因素，包括知识、态度、决策和行为。采用横断面调查设计，使用结构方程模型（SEM）对印度尼西亚Bulukumba Regency 450个沿海社区受访者的数据进行调查。通过在线问卷收集数据并进行分析，以评估变量之间的直接和中介效应。研究结果表明，决策（β = 0.464; p < 0.001）和行为（β = 0.455; p < 0.001）显著塑造了可持续发展责任，而知识并不能直接预测行为（β = 0.003; p = 0.882）。态度强烈影响决策（β = 0.608; p < 0.001），但对责任没有直接影响（β = 0.012; p = 0.716），突出了心理中介在塑造责任中的关键作用。中介分析进一步证实了知识通过态度、决策和行为对责任的间接影响，路径系数显著（β = 0.21; p < 0.001）。这些结果强调了在沿海教育和政策干预中加强决策技能和亲环境行为的重要性。本研究的新颖之处在于将责任定位为沿海可持续性责任（CSR）概念模型中的主要结果，为沿海可持续性文献提供了理论和实践贡献。

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引用次数: 0

Analysis on impact of farmers' management behavior on the growth or decline of forest resources in semi-arid regions of China 中国半干旱区农民经营行为对森林资源增减的影响分析

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-09 DOI: 10.1016/j.indic.2025.101081

Xiaoyu Wu, Guiyan Liu, Qingfeng Bao

The changes in forest resources are primarily influenced by natural and socio-economic factors. However, in a given region, the impacts of natural conditions remain relatively constant. Based on this assumption, this study investigates how household management behaviors affect forest resource changes in semi-arid regions. Taking the collective forest areas of Chifeng City, Inner Mongolia, China, as a case study, we analyzed how farmers’ management behaviors drive the growth or decline of forest resources. Employing a mixed-methods approach, we collected questionnaire data from 562 households across 35 villages, supplemented by interview records and secondary forestry department data. A multiple linear regression model was constructed with forest stock volume per unit area as the dependent variable, while controlling for household characteristics, resource endowments, and policy factors. Key findings reveal that drought-resistant afforestation techniques, village-level information channels, and diversified management modes significantly enhance forest stock accumulation. Household size, proportion of forestry income, and moderate forest fragmentation also positively influence resource growth. The study concludes that targeted technology extension, localized information dissemination, and management mode are crucial for enhancing forest sustainability in semi-arid regions. Policy recommendations include improving drought-resistant water infrastructure, promoting cooperative forestry management, and adopting eco-economic tree species to reconcile livelihood needs with ecological conservation. By integrating micro-level behavioral analysis with macro forest resource dynamics, this research provides empirical evidence for forest management and policy optimization in semi-arid regions.

森林资源的变化主要受自然和社会经济因素的影响。然而，在某一区域，自然条件的影响保持相对恒定。基于这一假设，本研究考察了半干旱区家庭经营行为对森林资源变化的影响。本文以内蒙古赤峰市集体林区为例，分析了农民经营行为对森林资源增减的影响。采用混合方法收集了35个村庄562户家庭的问卷调查数据，并辅以访谈记录和林业二级部门的数据。以单位面积森林蓄积量为因变量，控制农户特征、资源禀赋和政策因素，构建多元线性回归模型。研究结果表明，抗旱造林技术、村级信息渠道和多样化经营模式显著提高了森林蓄积量。家庭规模、林业收入占比和适度的森林破碎化对资源增长也有正向影响。研究认为，有针对性的技术推广、本地化的信息传播和管理模式是提高半干旱区森林可持续性的关键。政策建议包括改善抗旱水利基础设施、促进林业合作经营、采用生态经济树种以协调生计需求和生态保护。本研究将微观层面的行为分析与宏观森林资源动态相结合，为半干旱区森林经营和政策优化提供实证依据。

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引用次数: 0

Elevation and management-induced vegetation and soil carbon shift in Eastern Himalayan forests: Advancing nature-based sustainability solutions (NbS) 东喜马拉雅森林海拔和管理诱导的植被和土壤碳转移：推进基于自然的可持续解决方案（NbS）

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-08 DOI: 10.1016/j.indic.2025.101082

Shri Kant Tripathi, Rajdeep Chanda, Aosanen Ao, Basanta Moirangthem, Santosh Chauhan, Lianhmingthanga Mizo, Salam Suresh Singh, Ngangbam Somen Singh, Keshav Kumar Upadhyay, David C. Vanlalfakawma, Lalnunmawia

Tropical montane forests are essential carbon sinks that significantly contribute to climate regulation; however, their biomass and carbon dynamics remain underexplored in Indo-Burma biodiversity hotspot of the Eastern Himalaya. With this motive, we quantified tree diversity, above- and below-ground biomass, and soil organic carbon across five forest sites in Mizoram, Northeast India, encompassing three protected areas and two community-managed forests distributed along an elevational gradient (70–1900 m amsl). A total of 192 tree species, belonging to 132 genera and 65 families, were recorded, with higher tree richness and density in community forests. Total tree carbon stock ranged from 182.9 to 297.4 Mg C ha⁻¹ and increased as a function of elevation, explaining 57 % of the variability in above-ground biomass. Sentinel-2–derived vegetation indices demonstrated strong correlations with field-measured biomass, particularly modified soil-adjusted indices such as MSAVI (R² = 0.71) and SAVI (R² = 0.70). A multivariate regression model integrating multiple indices achieved high predictive accuracy (R² = 0.87). High-elevation forests, such as Phawngpui National Park (PNP) and Hmuifang Community Forest (HCF), exhibited greater carbon storage, reflecting lower disturbance and favourable microclimatic conditions. Community-managed forests stored carbon amounts comparable to or exceeding those of protected areas, highlighting the effectiveness of participatory governance in the region. Integrating remote sensing with field-based data provides robust, scalable framework for monitoring carbon dynamics in mountainous regions. These findings emphasise that community forestry represents effective Nature-based Solutions (NbS) for enhancing carbon sequestration, strengthening ecosystem resilience, and advancing India's climate commitments under NDCs and REDD + frameworks.

热带山地森林是重要的碳汇，对气候调节有重要贡献；然而，在东喜马拉雅的印度-缅甸生物多样性热点地区，它们的生物量和碳动态仍未得到充分的研究。基于这一动机，我们量化了印度东北部米佐拉姆邦5个森林点的树木多样性、地上和地下生物量和土壤有机碳，包括沿海拔梯度（70-1900米）分布的3个保护区和2个社区管理森林。共记录到192种乔木，隶属于65科132属，群落林树木丰富度和密度较高。树木总碳储量在182.9 ~ 297.4 Mg C ha - 1之间，随海拔升高而增加，可解释57%的地上生物量变异。sentinel -2衍生的植被指数与野外测量的生物量具有很强的相关性，特别是改良的土壤调整指数，如MSAVI （R2 = 0.71）和SAVI （R2 = 0.70）。综合多指标的多元回归模型预测准确率较高（R2 = 0.87）。黄埔国家公园（PNP）和Hmuifang社区林（HCF）等高海拔森林表现出更大的碳储量，反映了较少的干扰和有利的小气候条件。社区管理的森林储存的碳量与保护区相当或超过保护区，突出了该地区参与式治理的有效性。将遥感与实地数据相结合，为监测山区碳动态提供了强大的、可扩展的框架。这些发现强调，社区林业代表了有效的基于自然的解决方案（NbS），可以加强碳固存、增强生态系统的复原力，并推进印度在国家自主贡献和REDD +框架下的气候承诺。

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引用次数: 0

Threshold indicator trait analysis uncovers functional shifts in macrobenthos across stress gradients: Insights from two adjacent yet contrasting bays 阈值指标特征分析揭示了大型底栖动物在压力梯度中的功能变化：来自两个相邻但对比鲜明的海湾的见解

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-08 DOI: 10.1016/j.indic.2025.101084

Wanhong Han , Weiwei Zhou , Yushu Yang , Aoxiang Huang , Yong Xu , Anguo Zhang , Qingxi Han

Bay ecosystems are highly sensitive to anthropogenic stress, requiring precise ecological monitoring and management. This study investigated Xiangshan Bay (semi-enclosed) and Sanmen Bay (open bay) using macrobenthic data from 2018 to 2022. A combination of ecological indices (AMBI, M-AMBI, bAMBI, M-bAMBI, and CWM) and Threshold Indicator Taxa Analysis (TITAN) was applied to evaluate ecological quality and identify trait-based thresholds. Results showed that Sanmen Bay exhibited higher ecological quality and clearer functional trait thresholds than Xiangshan Bay. In Sanmen Bay, AMBI (0.50–2.13) and bAMBI (0.42–1.60) indicated undisturbed to slightly disturbed conditions, while M-AMBI (0.45–0.72) and M-bAMBI (0.42–0.52) corresponded to moderate to good status. Trait thresholds (AMBI = 0.74–1.85; bAMBI = 0.60–1.45) revealed gradual replacement of sensitive taxa by tolerant ones along increasing stress gradients. In contrast, Xiangshan Bay showed higher disturbance levels (AMBI = 1.30–2.38; M-AMBI = 0.36–0.46) and evident functional convergence, reflecting an “adaptive locking” effect where long-term eutrophication constrained community resilience. The open hydrodynamics of Sanmen Bay maintained higher functional diversity, whereas the semi-enclosed Xiangshan Bay experienced stronger human-induced stress. These results suggest that restocking species with negative trait responses in highly stressed areas could enhance ecosystem resilience. Overall, the trait-based TITAN framework reveals critical thresholds of macrobenthic functional responses to environmental stress, offering new insights for the refined assessment and adaptive management of coastal bay ecosystems.

海湾生态系统对人为压力高度敏感，需要精确的生态监测和管理。利用2018 - 2022年象山湾（半封闭湾）和三门湾（开放湾）大型底栖动物数据进行调查。采用生态指数（AMBI、M-AMBI、bAMBI、M-bAMBI和CWM）和阈值指标分类群分析（TITAN）相结合的方法评价生态质量，确定基于性状的阈值。结果表明，三门湾的生态质量高于象山湾，功能性状阈值更清晰。在三门湾，AMBI（0.50-2.13）和bAMBI（0.42-1.60）表示未受干扰至轻度干扰，而M-AMBI（0.45-0.72）和M-bAMBI（0.42-0.52）表示中等至良好状态。性状阈值（AMBI = 0.74-1.85; bAMBI = 0.60-1.45）表明，随着胁迫梯度的增加，敏感分类群逐渐被耐受性分类群所取代。而香山湾则表现出较高的扰动水平（AMBI = 1.30 ~ 2.38, M-AMBI = 0.36 ~ 0.46）和明显的功能趋同，反映出长期富营养化制约群落恢复力的“适应性锁定”效应。三门湾的开放水动力保持了较高的功能多样性，而半封闭的象山湾则受到了更强的人为压力。这些结果表明，在高胁迫地区重新放养具有负性状响应的物种可以增强生态系统的恢复力。总体而言，基于性状的TITAN框架揭示了大型底栖动物对环境胁迫的功能响应的临界阈值，为沿海海湾生态系统的精细评估和适应性管理提供了新的见解。

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引用次数: 0

Evaluation and optimization of urban ecological resilience in rapidly urbanizing areas of China: A case study of Taiyuan metropolitan area 中国快速城市化地区城市生态弹性评价与优化——以太原都市圈为例

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-07 DOI: 10.1016/j.indic.2025.101077

Ruidong Zhao , Wenjiong Guo , Xiaoli Jiang

Urban agglomerations and metropolitan areas are pivotal to China's rapid urbanization. In this context, conducting the evaluation of metropolitan ecosystem resilience is essential for ensuring the ecological security of these regions. Grounded in evolutionary resilience concepts, this study develops a framework for assessing urban ecological landscape resilience, which across three dimensions: defense, adaptability, and recovery, and was selected the Taiyuan metropolitan area as a case study. The findings indicate that from 2000 to 2022, the urban ecological resilience (UER) of the Taiyuan metropolitan area declined by 21.7 %. Specifically, ecological defense and adaptability demonstrated a downward trend, while ecological recovery exhibited a slight increase. The urban ecological resilience presents a distribution pattern of increasing circles from the center to the periphery, but there are islands or strip high resilience areas within urban areas, and improving their connectivity in the future will help enhance ecological resilience. Moreover, from 2000 to 2022, the low-low clusters of ecological resilience in the Taiyuan metropolitan area were predominantly located in the urban center, whereas high-high clusters expanded into the eastern and western mountainous regions. The study applied the Ordered Weighted Averaging method to construct scenario-based optimization maps by integrating ecological elements and functions. Three distinct scenarios were developed: “unsustainable-oriented”, “status-oriented”, and “sustainable-oriented” by assigning varying weights to defense and adaptability indicators. These scenario-based maps offer valuable decision-making support for planning and designing strategies to enhance ecological resilience in the Taiyuan metropolitan area.

城市群和都市圈是中国快速城市化的关键。在此背景下，开展城市生态系统恢复力评价对保障城市生态安全至关重要。基于进化弹性概念，构建了城市生态景观弹性评估框架，并以太原市大都市区为例，从防御、适应性和恢复三个维度对城市生态景观弹性进行了评估。结果表明：2000 - 2022年，太原都市圈城市生态恢复力下降21.7%；其中，生态防御和适应性呈下降趋势，生态恢复略有增加。城市生态弹性呈现由中心向外围增加的圆圈分布格局，但城市内部存在岛屿或条状高弹性区域，未来改善其连通性有助于增强生态弹性。2000 - 2022年，太原都市圈生态弹性低-低集群主要分布在城市中心，而高-高集群则向东部和西部山区扩展。本研究采用有序加权平均法，对生态要素和生态功能进行整合，构建基于场景的优化图。通过赋予防御和适应性指标不同的权重，提出了三种不同的情景：“不可持续导向”、“状态导向”和“可持续导向”。这些基于场景的地图为增强太原都市圈生态弹性的规划和设计策略提供了有价值的决策支持。

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引用次数: 0

Hydrogeochemical assessment and spring water quality modelling along the Upper, Middle, and Lower Tyrrhenian Coast of the Calabria region, southern Italy 意大利南部卡拉布里亚地区上、中、下第勒尼安海岸的水文地球化学评价和泉水水质模拟

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-05 DOI: 10.1016/j.indic.2025.101079

Ilaria Guagliardi , Luisa Perna , Tommaso Caloiero , Ernesto Infusino

Groundwater, the main drinking source for over 2.8 billion people, meets more than half of global water needs. Effective management requires knowledge of its quantity and quality. This study analyzes 160 spring water points along Calabria's Tyrrhenian coast (southern Italy), divided into five sectors based on topographic, geological, and hydrogeological features. Physical-chemical parameters and hydrochemical facies were assessed using Langelier-Ludwig and Piper diagrams, supported by geostatistical tools. Results show significant variability. Waters in the Lao/Noce basins are “fairly to very hard” but “low mineral.” In the Upper Tyrrhenian, hardness and mineralization range from “low” to “average.” The Middle Tyrrhenian spans from “very light” waters over acidic rocks to “hard” waters over marble. The Lower Tyrrhenian is mostly “fairly hard,” while the Savuto Basin features “very light” to “light” waters, with minimal mineralization. Hydrochemical facies differ by area: Lao/Noce show chloride-sulphate and bicarbonate Ca-Mg types, influenced by agriculture. Upper Tyrrhenian waters vary with altitude. Middle Tyrrhenian springs in metamorphic rocks show lower Ca-Mg content. Lower Tyrrhenian waters reflect lithological diversity, while the Savuto shows nitrate contamination, indicating anthropogenic impact. This Mediterranean-representative area offers a reference for groundwater quality assessment and supports future comparative and sustainable management efforts.

地下水是28亿多人的主要饮用水源，满足了全球一半以上的用水需求。有效的管理需要了解其数量和质量。本研究分析了卡拉布里亚第勒尼安海岸（意大利南部）的160个泉水点，根据地形、地质和水文地质特征将其分为五个部分。在地质统计工具的支持下，利用Langelier-Ludwig图和Piper图评估了物理化学参数和水化学相。结果显示显著的可变性。Lao/Noce盆地的水“相当到非常硬”，但“矿物质含量低”。在上第勒尼统，硬度和矿化范围从“低”到“平均”。中第勒尼安河从酸性岩石上的“非常轻”的水到大理石上的“坚硬”的水。下第勒尼安盆地大部分“相当坚硬”，而萨乌托盆地的特点是“非常轻”到“轻”的水，矿化程度最低。水化学相因地区而异：Lao/Noce显示氯化物-硫酸盐和碳酸氢盐-钙-镁类型，受农业影响。第勒尼安河上游的水域随海拔高低而变化。变质岩中第勒尼期泉水Ca-Mg含量较低。第勒尼安河下游水域反映了岩性多样性，而萨乌托则显示出硝酸盐污染，表明人为影响。这个具有地中海代表性的地区为地下水质量评估提供了参考，并支持未来的比较和可持续管理工作。

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引用次数: 0

Spatial-temporal variation characteristics of ecosystem service bundles in the Wei river basin based on the SOFM model 基于SOFM模型的渭河流域生态系统服务束时空变化特征

IF 5.6 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-12-05 DOI: 10.1016/j.indic.2025.101080

Jiankun Chen , Dongmei Zhou , Yajuan Gao , Jun Zhang , Jing Jiang

This research focuses on the Weihe River Basin (WRB) as the study area and quantified five key ESs (Habitat Quality-HQ, Water Yield-WY, Carbon Sequestration-CA, Soil Conservation-SD, Food Provision -FP) from 2000 to 2020 using multisource remote sensing and the InVEST model. Spearman correlation and Geographically Weighted Regression (GWR) analyzed ES trade-offs/synergies, while a Self-Organizing Feature Map (SOFM) neural network identified spatial bundles. The results are presented as follows: (1) The ESs in the WRB exhibited significant spatiotemporal heterogeneity. Between 2000 and 2020, the total amounts of HQ, WY, SD, and FP increased by 5.34 %, 45.03 %, 9.20 %, and 32.08 %, respectively, while CA decreased by 0.38 %, primarily due to the decline in vegetation carbon sequestration resulting from land use changes. (2) HQ and CA exhibited significant synergistic relationships at both basin and spatial scales (P < 0.01), with other pairs showing pronounced spatial heterogeneity. (3) Four ecosystem service bundles were identified via the SOFM model: Ecological protection bundle (A), dominated by WY, was distributed in forest ecosystems such as the Qinling Mountains, Liupan Mountains, and Ziwuling Forest, accounting for 27.04 % of the total area. The food supply bundle (B), which is located primarily in the agricultural region of the Loess Plateau, covered the largest area (82,564.74 km², 61.24 %). Ecological fragile bundle (C); and Urban Development bundle (D) (smallest at 829.58 km², Guanzhong Plain), defined by trade-offs among HQ, CA, and SD. These findings provide a foundation for optimizing regional ecological zoning and promoting sustainable development.

本研究以渭河流域为研究区，利用多源遥感和InVEST模型，量化了2000 - 2020年渭河流域5个关键ESs（生境质量- hq、水量- wy、固碳- ca、土壤保持- sd、粮食供应-FP）。Spearman相关和地理加权回归（GWR）分析了ES的权衡/协同效应，而自组织特征映射（SOFM）神经网络识别了空间束。结果表明：(1)湿地生态系统具有明显的时空异质性。2000—2020年，土壤中HQ、WY、SD和FP的总量分别增加了5.34%、45.03%、9.20%和32.08%，而CA减少了0.38%，主要原因是土地利用变化导致植被固碳减少。(2) HQ和CA在流域和空间尺度上均表现出显著的协同关系（P < 0.01），其他对表现出明显的空间异质性。(3)通过SOFM模型识别出4个生态系统服务束：生态保护束(A)分布在秦岭、六盘山和子午岭森林等森林生态系统中，以WY为主，占总面积的27.04%；粮食供应束(B)主要位于黄土高原农业区，面积最大（82564.74 km2，占61.24%）。生态脆弱束(C)；城市发展区(D)（最小面积为829.58平方公里，关中平原），由总部、加州和SD之间的权衡决定。研究结果为优化区域生态区划、促进可持续发展提供了依据。

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引用次数: 0