Environmental Impact Assessment Review最新文献_第5页

Assessing synergy of CO2 and pollutant reductions in industrial parks from the industrial chain perspective 基于产业链视角的工业园区二氧化碳减排与污染物减排协同效应评估

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-12-06 DOI: 10.1016/j.eiar.2025.108299

Shenghua Yan , Chen Cai , Jia Liu , Kaiming Peng , Ru Guo , Xiangfeng Huang

Synergy refers to the degree to which the same measure produces simultaneous reductions in CO₂ and pollutant emissions at the industrial parks. Assessing the synergy can inform key management policies and measures critical for advancing emission reduction efforts. However, the overall impact of industrial symbiosis on the synergy remains unclear due to the lack of a systematic quantitative method for embedding network topology into synergy measurement. Therefore, we proposed the Complex Network Analysis-Synergistic Assessment method (CNA-SA), which integrates the symbiotic relationships among enterprises within the industrial chain to assess the contribution of industrial symbiosis to synergy quantitatively. By combining CNA-SA with scenario analysis, this study also quantitatively compares the relative merits of different symbiosis modes that promote synergy. The results from typical industrial parks indicate that industrial symbiosis among enterprises can enhance synergy by at least 5.49 % to 102.63 %. Furthermore, the synergy of CO₂ and pollutant reductions was more strongly influenced by the integrity of the industrial chain than its diversity. Extending the existing industrial chain will increase the synergy from 0.67 to at least 0.80, yielding greater improvements with less effort compared to establishing new industrial chains. These results support ecologically guided park design, help managers identify opportunities for emission reduction and development pathways, and provide technical support for achieving synergy of CO₂ and pollutant reductions.

协同效应指的是同一措施同时减少工业园区的二氧化碳和污染物排放量的程度。评估协同作用可以为推进减排工作至关重要的关键管理政策和措施提供信息。然而，由于缺乏将网络拓扑嵌入协同效应测量的系统定量方法，产业共生对协同效应的整体影响尚不清楚。为此，我们提出了复杂网络分析-协同评价方法（CNA-SA），通过整合产业链内企业间的共生关系，定量评价产业共生对协同的贡献。通过结合CNA-SA和情景分析，本研究还定量比较了促进协同的不同共生模式的相对优势。典型工业园区的研究结果表明，企业间的产业共生能使协同效应提高至少5.49% ~ 102.63%。此外，二氧化碳减排和污染物减排的协同效应受产业链完整性的影响大于产业链多样性的影响。延长现有产业链将使协同效应从0.67提高到至少0.80，比建立新的产业链更省力。这些结果为生态引导型公园设计提供了支持，帮助管理者识别减排机会和发展路径，并为实现二氧化碳减排和污染物减排的协同效应提供了技术支持。

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引用次数: 0

Multivariate environmental and social life cycle assessment of circular recycled-plastic voided slabs for data-driven sustainable construction 数据驱动的可持续建筑循环再生塑料中空板的多元环境与社会生命周期评价

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-12-05 DOI: 10.1016/j.eiar.2025.108297

Antonio J. Sánchez-Garrido , Ignacio J. Navarro , Víctor Yepes

The construction sector is a major contributor to climate change and resource depletion, responsible for over 36 % of global final energy use and nearly half of all raw material consumption. Addressing structural systems' environmental and social sustainability is a critical challenge for the transition toward a circular and low-carbon built environment. Among structural elements, floor slabs are particularly critical due to their intensive use of concrete and steel. This study develops an integrated, data-driven framework that combines multivariate structural modeling with environmental and social life cycle assessment (E-LCA and S-LCA), explicitly describing the methodological approach before results are introduced. Leveraging empirical data from 67 real buildings, the framework generates robust pre-dimensioning guidelines that support early-stage decision-making in sustainable construction. Results demonstrate substantial material and impact reductions: concrete and steel use decrease by 23–33 % and up to 29 %, respectively, leading to average endpoint environmental impact reductions of 25 % and global warming potential decreases of 24 %, reaching 30 % for six-meter spans. S-LCA highlights social risk reductions up to 20 % in the Workers and Local Community categories, reflecting safer and more socially responsible construction practices. By integrating advanced multivariate modeling with comprehensive life cycle assessment, this research delivers a decision-oriented tool that accelerates the adoption of circular, low-carbon construction systems. The revised abstract also highlights the policy and management implications: the findings provide actionable insights for engineers, regulators, and policymakers, supporting the development of building codes, resource-efficient design guidelines, and climate-aligned strategies for the construction sector. Ultimately, this work promotes a resilient and sustainable built environment, advancing circular economy principles and the United Nations Sustainable Development Goals (SDGs).

建筑业是造成气候变化和资源枯竭的主要因素，占全球最终能源消耗的36%以上，占所有原材料消耗的近一半。解决结构系统的环境和社会可持续性是向循环低碳建筑环境过渡的关键挑战。在结构元素中，楼板尤其重要，因为它们大量使用混凝土和钢材。本研究开发了一个集成的、数据驱动的框架，将多变量结构建模与环境和社会生命周期评估（E-LCA和S-LCA）相结合，在介绍结果之前明确描述了方法方法。利用来自67座真实建筑的经验数据，该框架生成了强大的预维度指导方针，支持可持续建筑的早期决策。结果显示了大量的材料和影响的减少：混凝土和钢材的使用分别减少了23 - 33%和高达29%，导致平均端点环境影响减少25%，全球变暖潜势减少24%，6米跨度达到30%。S-LCA强调，在工人和当地社区类别中，社会风险降低了20%，反映了更安全和更具社会责任的建筑实践。通过将先进的多元建模与综合生命周期评估相结合，本研究提供了一个决策导向的工具，加速了循环低碳建筑系统的采用。修订后的摘要还强调了政策和管理方面的影响：研究结果为工程师、监管机构和政策制定者提供了可操作的见解，为建筑行业制定建筑规范、资源节约型设计指南和与气候相关的战略提供了支持。最终，这项工作促进了一个有弹性和可持续的建筑环境，推进循环经济原则和联合国可持续发展目标（sdg）。

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引用次数: 0

The role of China's urban green space in synergistically mitigating PM2.5-attributed health impact and climate change 中国城市绿地在协同缓解pm2.5导致的健康影响和气候变化中的作用

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-12-05 DOI: 10.1016/j.eiar.2025.108298

Yang Guan , Nannan Zhang , Yan Wang , Wentao Lu , Bin Li , Changbo Qin

Urban green space (UGS) serves to mitigate ambient pollutant concentrations through adsorption and dispersion effects while providing carbon sequestration via photosynthesis, contributing synergistically to urban climate and air quality improvement. This study quantifies this synergistic role by evaluating the UGS-attributed reduction in PM_2.5-related health impacts, the UGS-produced carbon sequestration, and the socioeconomic value of these co-benefits, using Chinese cities as a case study. From 2008 to 2022, UGS collectively prevented an estimated 179.34 thousand PM_2.5-related premature deaths and sequestered 349.81 million tCO₂e, corresponding to socioeconomic values of 694.69 and 314.94 billion CNY, respectively. Driven by urbanization and the expansion of UGS in China, UGS-attributed health benefits and carbon sequestration have shown steady growth over the past 15 years. Furthermore, this study evaluates the UGS investment-benefit ratio, environmental Gini coefficient, and offsetting rate (relative to city-level PM_2.5-related health impacts and CO₂ emissions), revealing inequalities in UGS-related environmental investment, benefits, and responsibilities across cities. The identification of associated socioeconomic factors indicated that urbanization progress exerted a complex influence on the capacity of UGS to deliver environmental health and climate co-benefits. As an integral component of urban green infrastructure and a product of urbanization, the UGS helps offset negative environmental impacts arising from urban development and construction to a certain extent. A comprehensive and system-wide evaluation of UGS-derived co-benefits can inform UGS spatial planning and support green urbanization, Beautiful China development, and achieving Sustainable Development Goal 11.

城市绿地（UGS）通过吸附和分散作用降低环境污染物浓度，同时通过光合作用提供碳固存，对城市气候和空气质量的改善有协同作用。本研究以中国城市为例，通过评估ugs对pm2.5相关健康影响的减少、ugs产生的碳固存以及这些共同效益的社会经济价值，量化了这种协同作用。2008年至2022年，UGS共预防了约17934万例与pm2.5相关的过早死亡，封存了3.4981亿吨二氧化碳当量，分别产生了6946.9亿元和3149.4亿元的社会经济价值。在中国城市化和UGS扩张的推动下，UGS带来的健康效益和碳固存在过去15年中稳步增长。此外，本研究还评估了UGS的投资效益比、环境基尼系数和抵消率（相对于城市层面的pm2.5相关健康影响和二氧化碳排放），揭示了UGS相关环境投资、效益和责任在城市之间的不平等。相关社会经济因素的确定表明，城市化进程对UGS提供环境健康和气候共同效益的能力产生了复杂的影响。UGS作为城市绿色基础设施的组成部分和城市化的产物，在一定程度上抵消了城市开发建设对环境的负面影响。对UGS衍生的协同效益进行全面、系统的评估，可以为UGS空间规划提供信息，支持绿色城市化、美丽中国发展和实现可持续发展目标11。

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引用次数: 0

Biodiversity loss and human health: An analysis based on cross-country panel data 生物多样性丧失与人类健康：基于跨国面板数据的分析

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-12-05 DOI: 10.1016/j.eiar.2025.108296

Shenxiang Xie , Feng Yi , Shuhong Wang

In the context of globalization, biodiversity loss has become a significant challenge for global sustainable development, and its impact on human health cannot be ignored. Based on data from the Global Biodiversity Information Facility and the World Bank Development Indicators database, this paper employs a cross-national panel dataset of 174 countries from 2000 to 2021 to examine the impact of biodiversity loss on human health. Further analysis elucidates two potential pathways through nutritional and environmental quality perspectives. The findings reveal that biodiversity loss can negatively impact human health. This paper only tests two such pathways regarding mechanisms, finding that biodiversity loss can reduce human health by exacerbating malnutrition and degrading environmental quality. Additionally, biodiversity loss has a more pronounced impact on health in low-income countries and those with higher aging populations, reflecting differences in vulnerability across varying economic and social contexts. Based on these findings, this study recommends that governments worldwide strengthen biodiversity conservation efforts, enhance nutritional security, and improve environmental governance systems to mitigate the negative impacts of biodiversity loss on human health and promote harmonious coexistence between humans and nature.

在全球化背景下，生物多样性丧失已成为全球可持续发展面临的重大挑战，对人类健康的影响不容忽视。根据全球生物多样性信息基金和世界银行发展指标数据库的数据，本文采用2000年至2021年174个国家的跨国面板数据集，研究生物多样性丧失对人类健康的影响。进一步的分析从营养和环境质量的角度阐明了两种可能的途径。研究结果表明，生物多样性的丧失会对人类健康产生负面影响。本文只测试了这两种途径的机制，发现生物多样性丧失可以通过加剧营养不良和降低环境质量来降低人类健康。此外，在低收入国家和人口老龄化程度较高的国家，生物多样性丧失对健康的影响更为明显，反映出不同经济和社会背景下脆弱性的差异。研究建议各国政府应加强生物多样性保护，加强营养安全，完善环境治理体系，以减轻生物多样性丧失对人类健康的负面影响，促进人与自然的和谐共处。

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引用次数: 0

Toward a transparent life cycle assessment of photovoltaic systems: Addressing regulatory and methodological challenges 迈向透明的光伏系统生命周期评估：解决监管和方法上的挑战

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-12-04 DOI: 10.1016/j.eiar.2025.108290

Ilham Ihoume , Michiel van Noord , André Augusto

Photovoltaic (PV) systems are central to global decarbonization, but their assessed environmental impacts vary due to inconsistencies in life cycle assessment (LCA) methodologies. These differences hinder comparability and the development of a transparent sustainability framework. To address this issue, this review systematically synthesizes PV LCA studies across five continents. The analysis highlights variations in system boundaries, functional units, data quality, and regulatory frameworks, revealing that methodological coherence is strongly shaped by regional policy and data infrastructure. Europe, supported by stringent regulations and localized inventories, demonstrates high methodological alignment. In contrast, Africa and Latin America face major data gaps, with over 90 % of studies relying on non local inventories, creating uncertainty in the results. Building on these findings, this study proposes key harmonization strategies, including enhanced transparency, the adoption of standardized guidelines such as IEA PVPS Task 12, and the targeted development of regional life cycle inventory databases. These measures provide policymakers, industry, and researchers with a practical framework to strengthen the reliability and comparability of PV sustainability assessments, supporting solar energy's role in a low carbon future. Future research should prioritize the expansion of localized datasets and the integration of dynamic LCA approaches to capture rapid technological evolution and circular economy principles.

光伏（PV）系统是全球脱碳的核心，但由于生命周期评估（LCA）方法的不一致性，其评估的环境影响各不相同。这些差异阻碍了可比性和透明可持续性框架的发展。为了解决这一问题，本文系统地综合了五大洲的PV - LCA研究。分析强调了系统边界、功能单元、数据质量和监管框架的差异，揭示了方法一致性在很大程度上受到区域政策和数据基础设施的影响。欧洲在严格的法规和本地化库存的支持下，显示出高度的方法一致性。相比之下，非洲和拉丁美洲面临着重大的数据缺口，超过90%的研究依赖于非当地的库存，造成了结果的不确定性。在这些发现的基础上，本研究提出了关键的协调策略，包括提高透明度，采用标准化指南，如IEA PVPS任务12，以及有针对性地开发区域生命周期清单数据库。这些措施为政策制定者、行业和研究人员提供了一个实用的框架，以加强光伏可持续性评估的可靠性和可比性，支持太阳能在低碳未来中的作用。未来的研究应优先考虑本地化数据集的扩展和动态LCA方法的整合，以捕捉快速的技术演变和循环经济原则。

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引用次数: 0

Nudge waste out: Understanding the impacts of green nudges on on-site construction waste management based on metaverse serious game 轻推废物：了解绿色轻推对现场建筑废物管理的影响

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-12-04 DOI: 10.1016/j.eiar.2025.108293

Yaoliang Zhuang , Weisheng Lu , Ziyu Peng , Zhikang Bao , Liang Yuan , Yichen Yin

Nudge theory proposes that subtle changes in choice presentation can have a profound influence on people's decisions and behaviors. Grounded in this theory, researchers and practitioners started to design and implement ‘green nudges’ that can alter workers' behavior in conducting on-site construction waste management (CWM). However, how exactly such nudges can be designed and implemented remains unclear. This paper explores ‘green nudges’ that can be deployed to boost CWM on site. Instead of developing physical nudges and implementing them, this research adopts the metaverse serious games. Firstly, several green nudge options were developed based on the literature and CWM practices. Their on-site implementations were simulated in metaverse serious games. Next, seventy participants with construction site management experience were randomly assigned to either an experimental group (exposed to green nudges) or a control group (operating under conventional conditions). The Mann-Whitney U tests and XGBoost-based SHAP analyses were conducted to compare the results between the two groups. It is discovered that participants who were exposed to green nudges, such as ‘moral suasion’, ‘simplification’, and ‘social comparison’ with timely feedback, showed improved performance in ‘participation count’, ‘waste collection rate’, and ‘sorting accuracy’ in CWM. Moreover, attitudes, perceived convenience, and emotion were found to significantly influence CWM performance. Waste managers should consciously tap into these green nudges to improve these aspects and ultimately achieve improved CWM performance.

助推理论认为，选择呈现的细微变化会对人们的决策和行为产生深远的影响。基于这一理论，研究人员和实践者开始设计和实施“绿色推动”，以改变工人在现场建筑垃圾管理（CWM）中的行为。然而，这种推动究竟如何设计和实施仍不清楚。本文探讨了可以部署的“绿色推动”，以促进现场的CWM。本研究采用了虚拟严肃游戏，而不是开发和执行物理推动。首先，在文献和CWM实践的基础上，提出了几种绿色推动方案。在虚拟世界严肃游戏中模拟了他们的现场实施。接下来，70名有建筑工地管理经验的参与者被随机分配到实验组（接触绿色轻推）和对照组（在常规条件下操作）。采用Mann-Whitney U检验和基于xgboost的SHAP分析来比较两组之间的结果。研究发现，在“道德劝说”、“简化”、“社会比较”等及时反馈的绿色推动下，参与者在CWM中的“参与次数”、“废物收集率”和“分类准确性”方面的表现有所提高。此外，态度、感知便利和情绪显著影响CWM绩效。废物管理人员应有意识地利用这些绿色推动来改善这些方面，并最终实现改善CWM的性能。

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引用次数: 0

From global to domestic scales: Do changes in industrial divisions burden sub-national emission reduction? 从全球到国内：产业分工的变化会给地方减排带来负担吗？

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-12-03 DOI: 10.1016/j.eiar.2025.108280

Xinxin Yu , Mingdong Jiang , Guanyu Zhong

The complex international situation threatens global trade, emphasizing the role of domestic industrial divisions. However, whether the economic linkage changes brought by thriving domestic divisions burden emission reductions hasn't received enough attention, though it's vital for carbon neutrality. To fill this gap, we developed a novel analytical framework by constructing a Global-Chinese-provincial Nested Multi-regional Input-Output (NMRIO) table, enabling comprehensive analysis across global, regional, and sub-national scales. We attempted to determine whether domestic divisions would impose a greater burden on sub-national emission reduction and how they function compared to participation in global divisions. We found that provincial participation in domestic divisions showed an upward trend during the study periods. However, compared with global divisions, domestic industrial divisions demonstrate a stronger effect increasing carbon emissions. Such emission growth is primarily driven by production scale expansion and carbonization of sub-sector structures within aggregate industries. Technology-driven reduction in carbon emission intensity is critical to mitigating the rise in emissions under domestic divisions, particularly between provinces in western and central regions and eastern regions. Global regional analysis shows that divisions with EU and North American countries will increase the carbon emissions, while those with the One Belt and One Road have no significant emission effects. Moreover, in the global divisions, a higher proportion of vertical specialization helps mitigate carbon emissions in provinces, while in the domestic divisions, a more downstream position can more significantly alleviate the carbon emissions driven by divisions.

复杂的国际形势威胁到全球贸易，强调了国内产业分工的作用。然而，国内分化的蓬勃发展所带来的经济联动变化是否会给减排带来负担却没有得到足够的重视，尽管这对碳中和至关重要。为了填补这一空白，我们开发了一个新的分析框架，通过构建全球-中国省嵌套多区域投入产出（NMRIO）表，实现了全球、区域和次国家尺度的综合分析。我们试图确定国内分工是否会给地方减排带来更大的负担，以及与参与全球分工相比，国内分工是如何发挥作用的。我们发现，在研究期间，各省对国内区划的参与呈上升趋势。但与全球分工相比，国内产业分工对碳排放的增加作用更强。这种排放增长的主要驱动因素是生产规模的扩大和总体产业内部分部门结构的碳化。技术驱动的碳排放强度降低对于缓解国内区域内，特别是中西部省份与东部地区之间的排放上升至关重要。全球区域分析表明，与欧盟和北美国家的分裂会增加碳排放，而与一带一路国家的分裂没有显著的排放效应。此外，在全球分工中，垂直专业化比例越高，有助于缓解各省的碳排放，而在国内分工中，位置越下游，可以更显著地缓解分工驱动的碳排放。

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引用次数: 0

Individual mobility and heat exposure: Distinguishing residence-based and mobility-based assessments 个人流动性和热暴露：区分基于居住和基于流动性的评估

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-12-03 DOI: 10.1016/j.eiar.2025.108292

Heng Wu, Yong Liu

Human mobility is essential for accurately estimating individual heat exposure, yet most assessments still rely on residence-based measures that neglect daily movements. How mobility patterns influence heat exposure across different urban contexts remains underexplored. This study used mobile phone signaling data to capture individual mobility and employed a numerical model to simulate mean radiant temperature. Residence-based exposure (RBE) and mobility-based exposure (MBE) to heat were estimated in Chongqing and Chengdu, and the differences between the two were examined. Interpretable machine learning was then applied to explore the nonlinear effects of mobility indicators on estimated differences (|MBE–RBE|). Estimated results show that RBE can both overestimate and underestimate heat exposure, leading to biases relative to MBE. These differences were larger in Chongqing, reflecting its more complex mobility patterns. In Chongqing, human flows were more dispersed toward scattered subcenters, increasing exposure, whereas in Chengdu, flows concentrated toward a few employment centers, reducing exposure. Machine learning analysis revealed that mobility indicators substantially influenced the estimated differences. Out-of-home duration had a positive effect once exceeding 6 h, stabilizing beyond 12 h. Travel frequency exerted a positive effect within an effective range from 2 to 4 trips, particularly in Chongqing. Radius of gyration showed a positive effect beyond 3 km, with diminishing marginal effects after 10 km, especially in Chengdu. These findings highlight the methodological importance of incorporating mobility into heat-related assessments and provide evidence for designing targeted planning and adaptation strategies to reduce urban heat risks.

人类活动对于准确估计个人热暴露至关重要，但大多数评估仍然依赖于基于住所的措施，忽视了日常活动。交通模式如何影响不同城市背景下的热暴露仍未得到充分研究。本研究利用手机信号数据捕捉个体移动，并采用数值模型模拟平均辐射温度。估算了重庆和成都的居住热暴露（RBE）和流动热暴露（MBE），并分析了两者之间的差异。然后应用可解释机器学习来探索流动性指标对估计差异（| MBE-RBE |）的非线性影响。估计结果表明，RBE可以高估或低估热暴露，导致相对于MBE的偏差。这些差异在重庆更大，反映了其更复杂的流动模式。在重庆，人口流动向分散的次中心分散，暴露程度增加；在成都，人口流动向少数就业中心集中，暴露程度降低。机器学习分析显示，流动性指标对估计的差异有很大影响。外出时长一旦超过6 h，就会产生积极影响，超过12 h后就会趋于稳定。出行频率在2 ~ 4次有效范围内产生积极影响，特别是在重庆。旋转半径在3 km以上表现为正效应，10 km以上边际效应逐渐减弱，成都地区尤甚。这些发现强调了将流动性纳入热相关评估的方法重要性，并为设计有针对性的规划和适应策略提供了证据，以减少城市热风险。

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引用次数: 0

Assessing the assessors: A systematic review of neighbourhood sustainability assessment tool effectiveness 评估评估者：系统检讨社区可持续发展评估工具的成效

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-12-03 DOI: 10.1016/j.eiar.2025.108295

Tayyaba Riaz , Aysin Dedekorkut-Howes , Tony Matthews , Scott Baum

Neighbourhood Sustainability Assessment Tools (NSATs) have been essential instruments for evaluating and guiding sustainable urban development. Despite insights provided into various aspects of sustainability assessment in the literature, limited research focuses on how effectively NSATs measure sustainability or what should be benchmarked in their assessment criteria. This study addresses this gap by identifying key factors that contribute to NSAT effectiveness. A systematic literature review, guided by PRISMA protocols, analyses 70 peer-reviewed articles from Scopus and Web of Science. Thematic analysis identifies three core dimensions that influence NSAT effectiveness: performance, applicability, and operational efficiency. Effective NSATs incorporate comprehensive assessment frameworks, standardised metrics, balanced sustainability dimensions, clear prerequisites, and long-term performance tracking. Applicability improves through policy alignment, institutional integration, and stakeholder engagement. Operational efficiency results from technological integration, cost-effective processes, and data-driven decision-making. The study proposes benchmark criteria to guide the development and evaluation of NSATs and demonstrates how standardised indicators and GIS-enabled workflows support benchmark-based planning decisions. It emphasises the need for tools that remain consistent, adaptable, and capable of driving measurable progress toward sustainable urban outcomes.

社区可持续发展评估工具（NSATs）已成为评价和指导城市可持续发展的重要工具。尽管在文献中对可持续性评估的各个方面提供了见解，但有限的研究集中在nsat如何有效地测量可持续性或在其评估标准中应该以什么为基准。本研究通过确定影响NSAT有效性的关键因素来解决这一差距。在PRISMA协议的指导下，一项系统的文献综述分析了来自Scopus和Web of Science的70篇同行评议文章。专题分析确定了影响NSAT有效性的三个核心维度：性能、适用性和操作效率。有效的nsat包括全面的评估框架、标准化的指标、平衡的可持续性维度、明确的先决条件和长期的绩效跟踪。适用性通过政策一致性、制度整合和利益相关者参与来改善。运营效率源于技术集成、成本效益流程和数据驱动的决策。该研究提出了基准标准，以指导nsat的开发和评估，并演示了标准化指标和gis支持的工作流程如何支持基于基准的规划决策。它强调需要保持一致、适应性强、能够推动可持续城市成果取得可衡量进展的工具。

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引用次数: 0

Abandonment duration shapes reuse strategies and benefits of abandoned cropland in China 撂荒时间决定了中国撂荒土地的再利用策略和效益

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-12-03 DOI: 10.1016/j.eiar.2025.108281

Yixin Liao , Chenrui Luo , Xue Wang , Jialin Liu , Xiaoqi Huang , Xinliang Xu , Rui Qin , Yuanwei Qin , Luo Liu

The reuse potential of abandoned cropland is significantly affected by the duration of abandonment. Ignoring such variation may lead to inefficient resource allocation. However, a systematic understanding of how abandonment duration shapes reuse strategies and associated multi-objective benefits remains limited. To address this gap, we excluded ecological restoration areas and identified the spatial distribution of abandoned cropland of varying durations across China. We then applied an interpretable machine learning model to distinguish between recultivation and afforestation pathways and quantified their potential benefits in terms of food production and carbon storage. The results are as follows: (1) The total abandoned cropland area reached 126 thousand km², mainly located in China's second topographic step. Both abandonment area and recultivation probability decreased with longer abandonment duration, with 52.2 thousand km² abandoned for up to 10 years and 73.7 thousand km² for 11 to 33 years. (2) Abandoned cropland can be reused through two pathways: 70.2 thousand km² via recultivation and 34.5 thousand km² via afforestation. (3) Reusing abandoned cropland could yield 26.3 million tons of food, enough to feed 66 million people, and sequester 570 million tons of carbon, equivalent to 16.6 % of China's annual emissions. Recultivation of short-term abandonment offers higher production gains, as the per-area yield potential declines with increasing abandonment duration. This study emphasizes that abandonment duration should be taken into account when formulating land use policies for abandoned cropland reuse. The findings provide valuable insights for enhancing food security and supporting carbon neutrality goals.

撂荒年限对撂荒耕地的再利用潜力有显著影响。忽略这种变化可能导致资源配置效率低下。然而，对废弃持续时间如何影响重用策略和相关的多目标效益的系统理解仍然有限。为了解决这一差距，我们排除了生态恢复区域，并确定了中国不同年限撂荒耕地的空间分布。然后，我们应用了一个可解释的机器学习模型来区分再植和造林途径，并量化了它们在粮食生产和碳储存方面的潜在效益。结果表明：①中国撂荒耕地面积达12.6万平方公里，主要分布在地形第二步；撂荒时间越长，撂荒面积和复垦概率越低，撂荒10年的撂荒面积为5.22万km2，撂荒11 ~ 33年的撂荒面积为7.37万km2。(2)退耕还林面积可达7.20万km2，退耕还林面积可达3.45万km2。(3)利用撂荒耕地可生产2630万吨粮食，足以养活6600万人，封存5.7亿吨碳，相当于中国年排放量的16.6%。由于单产潜力随着弃井时间的增加而下降，短期弃井的复垦可获得更高的产量收益。本研究强调在制定撂荒耕地再利用的土地利用政策时应考虑撂荒时间。这些发现为加强粮食安全和支持碳中和目标提供了宝贵的见解。

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引用次数: 0