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Explaining air pollution exceedance days through land use densities 透过土地使用密度解释空气污染超标天数
IF 5.6 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-15 DOI: 10.1016/j.indic.2025.101087
Mohsen RoohaniQadikolaei , Ali Soltani , Sara Nikmard Namin , Yaser Hatami , Peyman Najafi
Air pollution is one of the most critical sustainability and public health issues facing megacities in the Global South, and Tehran illustrates this challenge with more than 100 polluted days each year. While traffic is widely acknowledged as the leading emission source, less is known about how land use patterns jointly shape exceedance-day frequencies. This study examines the influence of urban form within a 2 km radius of Tehran's 28 monitoring stations on the number of days exceeding air quality standards. Urban form is operationalized through three spatial density dimensions: green space (area density), industrial activity (count and area density), and street networks (distance density). Using GIS-derived measures and a Generalized Spatial Two-Stage Least Squares (GS2SLS) model, the analysis accounts for both spatial dependence and endogeneity. Findings reveal that connected and proximate green patches are effective in reducing exceedance days, while larger industrial areas and clusters substantially increase them. Street networks play a dual role: higher intersection connectivity raises exceedance frequencies, whereas longer continuous street segment lengths appear to facilitate pollutant dispersion and reduce exceedances. Overall, Tehran's exceedance day burden stems from a complex interaction of “source” and “sink” land uses, with fragmented greenery and concentrated industry particularly worsening conditions in southern districts. Conceptually, the study advances a density-based source–sink modeling framework; methodologically, it integrates GIS and spatial econometrics at a detailed urban scale, and substantively, it provides actionable insights for planners. Strategies such as enhancing continuous green corridors, congestion management, and industrial relocation are essential to mitigate air pollution and promote spatial justice.
空气污染是全球南方大城市面临的最关键的可持续性和公共卫生问题之一,德黑兰每年有超过100天的污染天数说明了这一挑战。虽然人们普遍认为交通是主要的排放源,但人们对土地利用模式如何共同影响超过日的频率知之甚少。本研究考察了德黑兰28个监测站半径2公里范围内的城市形态对空气质量超标天数的影响。城市形态通过三个空间密度维度来实现:绿地(面积密度)、工业活动(数量和面积密度)和街道网络(距离密度)。利用gis衍生的测度和广义空间两阶段最小二乘(GS2SLS)模型,分析了空间依赖性和内生性。研究结果表明,连通和邻近的绿色斑块有效减少了超标天数,而较大的工业区和集群则大幅增加了超标天数。街道网络具有双重作用:较高的交叉口连通性提高了超标频率,而较长的连续街道段长度似乎有助于污染物扩散并减少超标。总体而言,德黑兰的超标日负担源于“源”和“汇”土地利用的复杂相互作用,在南部地区,绿地碎片化和工业集中的情况尤其恶化。在概念上,研究提出了基于密度的源汇建模框架;在方法上,它在详细的城市尺度上整合了GIS和空间计量经济学,在实质上,它为规划者提供了可操作的见解。加强连续绿色走廊、拥堵管理和工业搬迁等战略对于缓解空气污染和促进空间正义至关重要。
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引用次数: 0
Remediation performance of land leveling projects on cultivated land fragmentation under micro-topographic differences 微地形差异下平整工程对耕地破碎化的修复效果
IF 5.6 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-13 DOI: 10.1016/j.indic.2025.101089
Siying Zhang , Chaoxian Yang , Yong Liu , Rongrong Chen , Pengfei Gao
China's expansive mountainous and hilly regions, shaped by varied topography, have led to widespread fragmentation of cultivated land, posing challenges to mechanized and large-scale agriculture. Land Leveling Projects (LLPs) have been widely adopted to address this issue. However, their effectiveness, particularly across different micro-topographical conditions, has not been systematically evaluated. This study examines the performance of LLPs in reducing Cultivated Land Fragmentation (CLF) using 16 land consolidation projects in the mountainous and hilly areas of Chongqing as case studies. This study constructs a tripartite analytical framework of “geomorphological type - project intensity - remediation performance”. Taking typical mountainous and hilly areas of Chongqing as a case study, it selects 16 implemented LLPs under different micro-geomorphological conditions as samples to comprehensively investigate the performance of LLPs in remediating CLF. The results showed that: (1) Various types of LLPs, including Strip Field Remediation Projects (SFRP), Terrace Remediation Projects (TRP), Slope-to-Terrace Projects (STP), Slope-to-Slow Projects (SSP), Field Merging Projects (FMP), and Mesa Reconstruction Projects (MRP), can all reduce CLF to some degree. (2) Micro-topographical conditions significantly influence LLPs performance. The Gentle Hilly and Flat Dam Area (GHFDA) showed the highest remediation effectiveness, followed by the Low Hill Area (LHA), Hilly and Wide Valley Area (HWVA), and Middle-Low Hillside Area (MLHA). (3) Complex terrain increases the degree of land fragmentation and the investment required for LLPs, without corresponding improvements in remediation outcomes. (4) Given limited financial resources, priority should be given to areas with high remediation potential and adaptability, such as GHFDA and LHA. These regions are more suitable for reducing fragmentation and promoting large-scale cultivation. In contrast, large-scale LLPs are less appropriate for MLHA; instead, efforts should focus on improving field access, irrigation systems, and basic infrastructure to enhance production and living conditions. This study provides a foundation for evaluating the performance of LLPs and supports more targeted, effective land management strategies in complex terrains.
中国广阔的山地和丘陵地区,地形多变,导致耕地普遍破碎化,给机械化和规模化农业带来挑战。土地平整计划已被广泛采用,以解决这个问题。然而,它们的有效性,特别是在不同的微地形条件下,还没有得到系统的评估。本文以重庆市16个山地丘陵区土地整理项目为研究对象,探讨了土地整理项目在减少耕地细碎化中的作用。本研究构建了“地貌类型-工程强度-修复效果”的三方分析框架。以重庆典型山地丘陵区为例,选取16个不同微地貌条件下实施的llp作为样本,全面考察llp修复CLF的效果。结果表明:(1)带状田修复项目(SFRP)、阶地修复项目(TRP)、坡地改造项目(STP)、坡地改造项目(SSP)、田合并项目(FMP)和台地改造项目(MRP)等不同类型的llp都能在一定程度上降低CLF。(2)微地形条件显著影响llp性能。缓坡平坦坝区(GHFDA)的修复效果最好,其次是低丘陵区(LHA)、丘陵宽谷区(HWVA)和中低丘陵区(MLHA)。(3)复杂地形增加了土地破碎化程度和llp所需的投资,但对修复效果没有相应的改善。(4)在财力有限的情况下,应优先选择具有较高修复潜力和适应性的区域,如GHFDA和LHA。这些地区更适合减少破碎化,促进大规模种植。相比之下,大型llp不太适合MLHA;相反,努力应集中在改善田间通道、灌溉系统和基本基础设施,以改善生产和生活条件。该研究为评估llp的性能提供了基础,并支持在复杂地形中更有针对性、更有效的土地管理策略。
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引用次数: 0
Asset-based millets production interventions for livelihood improvement in semi-arid Telangana: A multidimensional livelihood capital approach 以资产为基础的小米生产干预措施改善半干旱的特伦甘纳邦的生计:多维生计资本方法
IF 5.6 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-12 DOI: 10.1016/j.indic.2025.101088
Rajendra R. Chapke, D. Balakrishna, Tara Satyavathi C, Peddiveeti Laxmiprasanna
Millets offer a climate-resilient and nutrition-rich alternative for enhancing rural livelihoods, yet their potential remains underutilized in semi-arid India. This study addresses the lack of empirical evidence on how millet-based interventions impact household livelihoods when aligned with farmers’ existing asset-based farming practices. The study was conducted in the Sangareddy district of Telangana under the ICAR-Farmer First Programme. It applied a capital-based framework to assess changes across five types of livelihood capitals that were natural, social, physical, financial, and human. A sample of 100 millet-farming households was selected through a stratified random sampling method. The data were collected before and after interventions using semi-structured tools and analysed using an entropy-weighted livelihood index, paired t-tests, and Structural Equation Modeling (SEM). The overall livelihood index increased significantly from 1.80 to 3.97. Social and natural capitals recorded the highest gains, driven by improved extension access, crop diversification, and millet enterprise development. The SEM revealed that social and financial capital had the strongest influence on livelihood enhancement. Improved millet practices, including high-yielding varieties, intercropping, mechanization, and value addition, contributed to higher income, resilience, and well-being. The study concludes that combining appropriate technologies with asset-based interventions can effectively improve the livelihoods of dryland farmers. Participatory technology design, capital-based extension strategies, gender-responsive value chains, and composite livelihood monitoring tools require attention while formulating the policy framework. This study provides strong empirical evidence that millet-based interventions, aligned with the existing livelihood capitals of farmers, can serve as a powerful strategy for achieving sustainable, equitable, and resilient rural development in the semi-arid regions.
小米为改善农村生计提供了一种具有气候适应性和营养丰富的选择,但在半干旱的印度,小米的潜力仍未得到充分利用。本研究解决了缺乏经验证据的问题,即当与农民现有的基于资产的农业实践相结合时,基于小米的干预措施如何影响家庭生计。这项研究是根据icar农民优先计划在特伦甘纳邦的Sangareddy地区进行的。它采用了一个以资本为基础的框架来评估五种生计资本的变化,即自然、社会、物质、金融和人力资本。采用分层随机抽样的方法,选取100户农户进行调查。使用半结构化工具收集干预前后的数据,并使用熵加权生计指数、配对t检验和结构方程模型(SEM)进行分析。整体民生指数从1.80大幅上升至3.97。在推广渠道改善、作物多样化和小米企业发展的推动下,社会和自然资本的收益最高。SEM显示,社会和金融资本对生计改善的影响最大。改进谷子种植方法,包括高产品种、间作、机械化和增值,有助于提高收入、抵御能力和福祉。该研究的结论是,将适当的技术与基于资产的干预措施相结合,可以有效地改善旱地农民的生计。在制定政策框架时,需要注意参与式技术设计、以资本为基础的推广战略、促进性别平等的价值链和综合生计监测工具。本研究提供了强有力的经验证据,表明基于小米的干预措施与农民现有的生计资本相一致,可以作为在半干旱地区实现可持续、公平和有弹性的农村发展的有力战略。
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引用次数: 0
Sustainable community-based tourism development nexus livelihood improvement in urban areas: Evidence from Addis Ababa, Ethiopia 以社区为基础的可持续旅游发展关系到城市地区生计改善:来自埃塞俄比亚亚的斯亚贝巴的证据
IF 5.6 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-11 DOI: 10.1016/j.indic.2025.101074
Kassegn Berhanu Melese , Tsion Mohammed Ismael , Shewandagne Alemayehu
The study aimed to explore the nexus between sustainable community-based urban tourism (CBUT) development and livelihood improvement for the residents of Addis Ababa. Purposive sampling was employed to select unprivileged and disadvantaged groups from the Arada sub-city's population, followed by census sampling to contact respondents. Principal component analysis was used to break down determining factors, followed by a multiple regression test to examine their impact on community-based urban tourism. The research findings indicate that community awareness about community-based urban tourism concepts is low, necessitating intensive awareness creation. However, potential tourism resources and community interest were observed. Arada sub-city is endowed with high-potential tourism resources. Moreover, social capital and empowerment, improved livelihood, and sense of place have been drawn as determining factors for successful community-based urban tourism development. It also revealed that need assessment, development works, administrative frameworks, community participation, benefit sharing, sustainability, and its value are pillars to the development of community-based urban tourism. The study has provided insight for researchers, practitioners, policymakers, and the government on how to concentrate on various forms of tourism that are important for the development of the tourism industry, the well-being of the populace's economy, the diversification of attractions, and the viewpoint of tourists.
本研究旨在探讨可持续社区城市旅游发展与亚的斯亚贝巴居民生计改善之间的关系。采用有目的抽样的方法,从Arada副城市的人口中选择弱势群体,然后进行人口普查抽样,联系被调查者。采用主成分分析分解决定因素,然后采用多元回归检验检验其对社区城市旅游的影响。研究结果表明,社区对社区城市旅游概念的认知度较低,需要加强意识创造。然而,潜在的旅游资源和社区利益被观察到。阿拉达副城市具有高潜力的旅游资源。此外,社会资本和赋权、改善的生计和地方感被认为是成功的社区城市旅游发展的决定因素。报告还显示,需求评估、开发工作、行政框架、社区参与、利益分享、可持续性及其价值是社区城市旅游发展的支柱。该研究为研究人员、从业人员、政策制定者和政府提供了关于如何关注各种形式的旅游的见解,这些旅游对旅游业的发展、民众经济的福祉、景点的多样化和游客的观点都很重要。
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引用次数: 0
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 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 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 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 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 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 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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Environmental and Sustainability Indicators
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