Geography and Sustainability最新文献_第3页

Beyond renewable energy targets: Understanding the land use implications of solar energy facilities in Continental Portugal 超越可再生能源目标：了解葡萄牙大陆太阳能设施对土地使用的影响

IF 8 1区环境科学与生态学 Q1 GEOGRAPHY, PHYSICAL

Geography and Sustainability

Pub Date : 2026-02-01 Epub Date: 2026-01-06 DOI: 10.1016/j.geosus.2026.100406

André Alves , Eduardo Gomes , Eduarda Marques da Costa , Mário Caetano

The growing demand for land to accommodate renewable energy infrastructure has intensified competition with biodiversity conservation, agriculture, and ecosystem services. In Portugal, electricity system decarbonisation relies heavily on utility-scale solar energy (USSE) facilities, yet the spatial extent of land transformation associated with photovoltaic development has not been systematically assessed. This study provides an assessment of the land occupancy of USSE facilities and associated land use and land cover (LULC) changes in continental Portugal over the past two decades, as well as their spatial relationship with areas designated for land and nature conservation. A geospatial database of USSE installations (≥1 MW) was developed through the integration of multiple data sources using geographic information systems (GIS). The geometric consistency of spatial features was ensured through harmonisation and validation procedures involving GIS-based corrections supported by Sentinel-2 satellite imagery. Spatial overlay analyses were conducted with multitemporal LULC datasets and with land-use planning constraints, including areas classified for nature conservation, ecological reserves, and agricultural reserves. The results indicate that USSE deployment has been predominantly located in the southern regions of Portugal, although the location of planned projects indicates a northward shift. The implementation of USSE facilities has been mainly associated with LULC changes in forest land, agricultural areas, pastures and shrubland. Spatial overlaps were observed with areas classified within the national ecological and agricultural reserves. These patterns may be indicative of growing land-use conflicts, but the extent to which these developments align with land-use planning objectives and conservation priorities requires further examination.

可再生能源基础设施对土地的需求不断增长，加剧了与生物多样性保护、农业和生态系统服务的竞争。在葡萄牙，电力系统脱碳在很大程度上依赖于公用事业规模的太阳能（USSE）设施，但与光伏开发相关的土地改造的空间范围尚未得到系统评估。本研究评估了过去二十年来葡萄牙大陆USSE设施的土地占用和相关的土地利用和土地覆盖（LULC）变化，以及它们与土地和自然保护区的空间关系。通过使用地理信息系统（GIS）整合多个数据源，开发了USSE安装（≥1 MW）的地理空间数据库。空间特征的几何一致性通过协调和验证程序得到保证，这些程序涉及基于gis的校正，并由Sentinel-2卫星图像支持。利用时序LULC数据集和土地利用规划约束（包括自然保护区、生态保护区和农业保护区）进行空间覆盖分析。结果表明，USSE的部署主要位于葡萄牙南部地区，尽管计划项目的位置表明向北转移。USSE设施的实施主要与林地、农业区、牧场和灌木林的土地利用价值变化有关。在国家生态和农业保护区内观察到空间重叠。这些模式可能表明土地使用冲突日益增加，但这些发展在多大程度上符合土地使用规划目标和保护优先事项需要进一步审查。

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引用次数: 0

The evolution and current landscape of AI in geographical research: A large-scale systematic review 人工智能在地理研究中的演变与现状：一项大规模的系统综述

IF 8 1区环境科学与生态学 Q1 GEOGRAPHY, PHYSICAL

Geography and Sustainability

Pub Date : 2026-02-01 Epub Date: 2025-11-28 DOI: 10.1016/j.geosus.2025.100392

Chenjin An , Jianghao Wang , Chenghu Zhou

With the rapid advancement of Artificial Intelligence (AI) technologies, its applications have become increasingly widespread across various aspects of geography, offering unprecedented analytical capabilities across disciplinary boundaries. Despite this revolutionary potential, a comprehensive understanding of the current research landscape and development trajectory of AI in geographical sciences remains limited. To fill this gap, we conducted a large-scale systematic review based on 400,000 geographical publications published from 1990 to 2023. We utilized large language model (LLM) prompt engineering, topic modeling and other natural language processing techniques to analyze the publications. Our findings reveal that AI applications constitute 8.1 % of geographical research, with publication volume having increased 20-fold over three decades. Both China and the United States have been the leading contributors to AI-driven geographical studies, together accounting for 62.78 % of all publications in this field. Notably, more than half of the studies used traditional machine learning methods. Among the various geographical topics, remote sensing applications and spatial data analysis emerged as the most extensively explored areas using AI techniques, with image feature extraction being the topic with the deepest level of adoption and most significant ongoing impact of AI methods. This systematic review provides critical insights into the integration trajectory of AI within geographical sciences, establishing a foundation for identifying emerging research opportunities and enhancing our understanding of AI’s transformative role in advancing geographical knowledge.

随着人工智能（AI）技术的快速发展，其应用在地理的各个方面越来越广泛，提供了前所未有的跨学科分析能力。尽管具有这种革命性的潜力，但对人工智能在地理科学中的研究现状和发展轨迹的全面理解仍然有限。为了填补这一空白，我们基于1990年至2023年出版的40万份地理出版物进行了大规模的系统评价。我们利用大语言模型（LLM）提示工程、主题建模等自然语言处理技术对出版物进行分析。我们的研究结果显示，人工智能应用占地理研究的8.1%，在过去30年里，其出版物数量增长了20倍。中国和美国一直是人工智能驱动的地理研究的主要贡献者，占该领域所有出版物的62.78%。值得注意的是，超过一半的研究使用了传统的机器学习方法。在各种地理主题中，遥感应用和空间数据分析成为使用人工智能技术探索最广泛的领域，图像特征提取是人工智能方法采用程度最深、影响最显著的主题。本系统综述为人工智能在地理科学中的整合轨迹提供了重要见解，为识别新兴研究机会奠定了基础，并增强了我们对人工智能在推进地理知识方面的变革作用的理解。

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引用次数: 0

Land use dynamics and the fate of indigenous culture in China’s cultural ecological protection areas 中国文化生态保护区土地利用动态与本土文化命运

IF 8 1区环境科学与生态学 Q1 GEOGRAPHY, PHYSICAL

Geography and Sustainability

Pub Date : 2026-02-01 Epub Date: 2025-11-28 DOI: 10.1016/j.geosus.2025.100390

Zihua Chen , Jiaxin Li , Haiyang Cui , Xiaowei Li , Zhenbo Wang

With the global expansion of protected areas (PAs) and increasing involvement of indigenous communities, understanding their impacts on indigenous peoples is crucial. This study evaluates the extent to which China’s national cultural ecological protection areas (CEPAs) safeguard indigenous culture, using land-use disturbance as a key metric to assess impacts on cultural keystone species (CKS). We employ a multi-step evaluation framework that reclassifies land use, identifies environment-dependent CKS, and analyzes land-use dynamics by comparing disturbances before and after CEPAs establishment. Our results reveal that, despite overall improvements in land conditions, over 36 % of CEPAs are in land disturbance threat or warning status. All of these sites are indigenous CEPAs, indicating a disproportionate disturbance burden on indigenous communities. Notably, traditional medicinal practices are particularly vulnerable. These findings underscore the urgent need for policies aligning ecological diversity with cultural diversity to support the global commitment to expand PAs to over 30 % of Earth’s land and oceans by 2030.

随着保护区在全球范围内的扩大和土著社区的日益参与，了解它们对土著人民的影响至关重要。本研究以土地利用干扰为主要指标，评价了中国国家级文化生态保护区对本土文化的保护程度。我们采用了一个多步骤的评估框架，重新分类土地利用，识别环境依赖的CKS，并通过比较cepa建立前后的干扰来分析土地利用动态。我们的研究结果表明，尽管土地条件总体上有所改善，但超过36%的cepa处于土地干扰威胁或预警状态。所有这些地点都是土著cepa，表明对土著社区造成了不成比例的干扰负担。值得注意的是，传统医学尤其脆弱。这些发现强调，迫切需要制定使生态多样性与文化多样性保持一致的政策，以支持到2030年将保护区扩大到地球陆地和海洋的30%以上的全球承诺。

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引用次数: 0

Hotspots of disagreement across global urban land projections until 2100 2100年前全球城市土地预测的分歧热点

IF 8 1区环境科学与生态学 Q1 GEOGRAPHY, PHYSICAL

Geography and Sustainability

Pub Date : 2026-02-01 Epub Date: 2025-12-29 DOI: 10.1016/j.geosus.2025.100403

Jasper van Vliet , Hang Yang , Nathalie Benz , Changxiu Cheng , Jonathan Doelman , Jing Gao , Qingxu Huang , Eric Koomen , Xuecao Li , Lu Niu , Elizabeth A. Schrammeijer , Yuyu Zhou

Projections of future urban land change are essential for a range of sustainability assessments, including those related to biodiversity loss, carbon emissions, and agricultural land conversion. However, to what extent and where current projections agree or disagree remains unknown. Here, we systematically compare existing global projections that are consistent with the Shared Socioeconomic Pathways. We find that the total global urban land area is expected to increase by 112% between 2020 and 2100 (averaged across all projections), with a coefficient of variation of 0.81. This variation is mostly caused by the selection of the underlying drivers that are included in the different models. Regionally, the highest average growth rates are found in sub-Saharan Africa (+679% to +730%), while this region also has the highest variation across projections (coefficient of variation ranging from 2.02 to 2.18). When ranking scenarios within a study from the highest to the lowest projected increase in urban land, rankings are relatively similar for regions in the Global North, but not for regions in the Global South. The large disagreement across projections can lead to high uncertainties in assessments of future urban land change impacts, which can undermine the effectiveness of long-term planning, policymaking, and resource management decisions.

对未来城市土地变化的预测对于一系列可持续性评估至关重要，包括与生物多样性丧失、碳排放和农业用地转换有关的评估。然而，目前的预测在多大程度上是一致的，在什么地方是不一致的，仍然不得而知。在这里，我们系统地比较了与共享社会经济路径一致的现有全球预测。我们发现，在2020年至2100年期间，全球城市土地总面积预计将增加112%（所有预测的平均值），变异系数为0.81。这种差异主要是由不同模型中包含的潜在驱动因素的选择引起的。从区域来看，撒哈拉以南非洲地区的平均增长率最高（+679%至+730%），而该地区的预测差异也最大（变异系数为2.02至2.18）。在一项研究中将城市土地预计增长从最高到最低的情景排序时，全球北方地区的排名相对相似，但全球南方地区则不同。预测之间的巨大分歧可能导致未来城市土地变化影响评估的高度不确定性，这可能破坏长期规划、政策制定和资源管理决策的有效性。

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引用次数: 0

Emerging lessons on how participatory scenario planning can support sustainable land management and climate resilience 关于参与式情景规划如何支持可持续土地管理和气候适应能力的新经验

IF 8 1区环境科学与生态学 Q1 GEOGRAPHY, PHYSICAL

Geography and Sustainability

Pub Date : 2026-02-01 Epub Date: 2025-12-31 DOI: 10.1016/j.geosus.2025.100405

Pattrawut Pusingha , Robert A. Marchant , Richard M. Friend , Rui Han

Land degradation, coupled with climate change impacts, poses serious threats to global land health and human well-being. Participatory scenario planning (PSP) has become a key tool for exploring these interconnected challenges; however, its progress and effectiveness remain underexplored. This study reviews 46 papers, using PRISMA guidelines, to investigate how PSP supports sustainable land management and climate resilience. We document how PSP applications have evolved from a biophysical focus to one addressing broader environmental, societal, and economic challenges. Disparities in how participants engage across PSP phases document the need for more equitable and meaningful participation. Clustering future scenarios reveals the complex interconnections among ecological, social, and economic factors underpinning land management and climate resilience, underscoring the need for inclusive and integrated strategies. From the emerging trends, we identify opportunities to advance PSP implementation, including early engagement of decision-makers, balanced representation and equitable power dynamics, meaningful participation, cross-disciplinary collaboration, integration of human–nature relationships, and regular revision of future pathways. Overall, our review highlights PSP’s potential to co-create inclusive, equitable scenarios and actionable pathways towards sustainable and resilient land use futures.

土地退化，加上气候变化的影响，对全球土地健康和人类福祉构成严重威胁。参与式情景规划（PSP）已成为探索这些相互关联的挑战的关键工具；然而，其进展和有效性仍未得到充分探讨。本研究回顾了46篇论文，使用PRISMA指南来研究PSP如何支持可持续土地管理和气候适应能力。我们记录了PSP应用如何从生物物理的焦点发展到解决更广泛的环境、社会和经济挑战。参与者在PSP各个阶段的参与方式存在差异，这表明需要更公平、更有意义的参与。聚类未来情景揭示了支撑土地管理和气候适应能力的生态、社会和经济因素之间复杂的相互联系，强调了制定包容性和综合战略的必要性。从新兴趋势中，我们发现了推进PSP实施的机会，包括决策者的早期参与、平衡的代表性和公平的权力动态、有意义的参与、跨学科合作、人与自然关系的整合以及对未来路径的定期修订。总体而言，我们的评估强调了PSP在共同创造包容、公平的情景和可操作的途径，以实现可持续和有弹性的土地利用未来方面的潜力。

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引用次数: 0

The impact of extreme climate on soil organic carbon in China 极端气候对中国土壤有机碳的影响

IF 8 1区环境科学与生态学 Q1 GEOGRAPHY, PHYSICAL

Geography and Sustainability

Pub Date : 2025-12-01 Epub Date: 2025-07-28 DOI: 10.1016/j.geosus.2025.100356

Zipeng Zhang , Jianli Ding , Liangyi Li , Jinhua Cao , Keqiang Wang , Chuanmei Zhu , Xiangyu Ge , Jinjie Wang , Chaolei Yang , Fujie Li , Jingzhe Wang

Quantitative studies on the national-scale effects of extreme climatic events on soil organic carbon (SOC) remain scarce, thus limiting our understanding of SOC dynamics. This study utilized 4515 publicly available soil samples to quantify the impacts of 19 extreme climatic indices (ECIs) on ΔSOC reservoirs in China through a hybrid space-for-time and meta-analysis approach. Overall, 16/19 ECIs were negatively correlated with ΔSOC, with the minimum temperature of the coldest night (TNn) showing the strongest negative correlation. Notably, topographic factors played a pivotal role in the modeling process, contributing an average of 25 %, followed by ECIs. Under the influence of the ECIs, SOC exhibited spatial variation. Extreme heat resulted in the greatest SOC losses in cold regions, such as North China, with average reductions of > 5 %, whereas its impact was weaker in South China, with SOC losses of ∼3 %. Extreme cold and wet indices promoted SOC accumulation in the Northeast China, with increases of ∼3 %, but showed a weaker response in the humid region, where the SOC increased by only 1 %. At the national scale, the impacts of extreme climatic events on SOC in the 0–20 cm ranged from −2.36 Pg to 2.34 Pg. Different ecosystems responded variably, with forest and grassland ecosystems being more sensitive to ECIs, potentially due to higher organic matter inputs and greater ecosystem complexity. In contrast, bare land exhibited weaker responses due to limited vegetation cover and organic inputs. These findings provide valuable insights into SOC dynamics at national scale during extreme climatic events.

极端气候事件对土壤有机碳（SOC）影响的定量研究仍然很少，因此限制了我们对土壤有机碳动态的认识。本研究利用4515个公开土壤样本，采用时空混合和元分析的方法，量化了19个极端气候指数（ECIs）对中国ΔSOC水库的影响。总体而言，16/19 eci与ΔSOC呈负相关，其中最冷夜最低温度（TNn）负相关最强。值得注意的是，地形因素在建模过程中发挥了关键作用，平均贡献了25%，其次是eci。在eci的影响下，土壤有机碳呈现空间差异。极端高温导致中国北方等寒冷地区的有机碳损失最大，平均减少5%，而中国南方的影响较弱，有机碳损失约为3%。极端寒冷和潮湿指数促进了东北地区有机碳的积累，增加了约3%，但在潮湿地区表现出较弱的响应，其有机碳仅增加了1%。在全国范围内，极端气候事件对0 ~ 20 cm土壤有机碳的影响范围为- 2.36 ~ 2.34 Pg。不同生态系统对eci的响应差异较大，森林和草地生态系统对eci更为敏感，这可能是由于更高的有机质投入和更大的生态系统复杂性。相比之下，由于植被覆盖和有机投入有限，裸地表现出较弱的响应。这些发现为研究极端气候事件期间全国范围内的有机碳动态提供了有价值的见解。

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引用次数: 0

Exacerbated global surface water stress under climate change 气候变化下全球地表水压力加剧

IF 8 1区环境科学与生态学 Q1 GEOGRAPHY, PHYSICAL

Geography and Sustainability

Pub Date : 2025-12-01 Epub Date: 2025-09-02 DOI: 10.1016/j.geosus.2025.100361

Ming Peng , Haipeng Yu , Jianping Huang , Yu Ren , Li Fu

Water stress is expected to intensify due to escalating atmospheric and surface dryness under global warming. Despite extensive research indicate that intensified dryness exacerbates water constraints on ecosystems, the dynamics and underlying mechanisms of surface water stress (SWS) under climate change remain poorly understood. In this study, we use annual evaporative stress as the surface water stress index (WSI) and provide a comprehensive analysis of historical and projected global terrestrial SWS, covering its characteristic changes, driving factors, and impacts on vegetation. Our results show a significant declining trend in WSI during 1982–2014 (-0.0033/decade, p < 0.01), indicating the enhancement of SWS concurrent with a rapid expansion of water stress intensified areas at a rate of 1.85 %/decade (p < 0.01). Using the Budyko-Penman budget framework, we found that the intensification of SWS was primarily driven by an increase in vapor pressure deficit (VPD) and a decrease in precipitation. Furthermore, the intensification of SWS contributed to a decline in vegetation growth, with the extent of areas experiencing increased vegetation water deficit expanding rapidly at a rate of 1.38 % per decade (p < 0.01). In the future, SWS is projected to escalate, with the proportion of areas experiencing intensified SWS increasing from 6.3 % to 24.3 % by the end of the century under the SSP5–8.5. Our study provides a comprehensive analysis of the drivers of SWS under climate change and its impacts on ecosystems, offering valuable scientific insights for the effective management of water resources.

由于全球变暖导致大气和地表日益干燥，预计水资源压力将加剧。尽管广泛的研究表明，干旱加剧加剧了生态系统的水约束，但气候变化下地表水胁迫（SWS）的动态和潜在机制仍然知之甚少。本研究以年蒸发胁迫作为地表水胁迫指数（WSI），对全球陆地SWS的变化特征、驱动因素以及对植被的影响进行了综合分析。结果表明，1982-2014年WSI呈显著下降趋势（-0.0033/ 10年，p < 0.01），表明SWS增强的同时，水分胁迫加剧区域以1.85% / 10年的速度迅速扩大（p < 0.01）。利用buddyko - penman预算框架，我们发现SWS的增强主要是由水汽压亏缺（VPD）的增加和降水的减少驱动的。此外，SWS的加剧导致植被生长下降，植被水分亏缺增加的面积以每10年1.38%的速度迅速扩大（p < 0.01）。在SSP5-8.5下，预计未来SWS将升级，到本世纪末经历SWS强化的地区比例将从6.3%增加到24.3%。本研究全面分析了气候变化下SWS的驱动因素及其对生态系统的影响，为水资源的有效管理提供了有价值的科学见解。

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引用次数: 0

Dryland Social-Ecological Systems in Changing Environments: By Bojie Fu and Mark Stafford Smith, 2024, Springer, Singapore. 424 pages, Open Access. ISBN 978-981-99-9374-1 变化环境中的旱地社会生态系统：傅伯杰和马克·斯塔福德·史密斯著，2024年，施普林格，新加坡，424页，开放获取。ISBN 978-981-99-9374-1

IF 8 1区环境科学与生态学 Q1 GEOGRAPHY, PHYSICAL

Geography and Sustainability

Pub Date : 2025-12-01 Epub Date: 2025-11-10 DOI: 10.1016/j.geosus.2025.100378

David J Eldridge

引用次数: 0

Profiles and risk assessment of antibiotic resistome between Qinghai-Xizang Plateau and polar regions 青藏高原与极地地区抗生素耐药组特征及风险评估

IF 8 1区环境科学与生态学 Q1 GEOGRAPHY, PHYSICAL

Geography and Sustainability

Pub Date : 2025-12-01 Epub Date: 2025-07-16 DOI: 10.1016/j.geosus.2025.100342

Zhenzhe Wu , Guannan Mao , Yuan Gou , Mukan Ji , Qingqing Ma , Yongqin Liu

Antibiotic resistance genes (ARGs) are increasingly recognized as a global public health threat, with glaciers acting as reservoirs for ARGs transported via atmospheric pathways. Warming climate accelerates glacier melting, releasing ARGs into downstream environments, posing ecological health and sustainable aquatic ecosystem development challenges. However, the distribution profiles of ARGs and their risks in glaciers from the polar region remain unclear. This study used 294 metagenomic sequences to investigate the distribution and risks of ARGs in glaciers across the Qinghai-Xizang Plateau, Antarctica, and the Arctic regions and compared them with adjacent and anthropogenically impacted environments. Among the three glacier regions studied, the Qinghai-Xizang Plateau exhibited the highest abundance of ARGs, whereas Antarctica displayed the lowest. ARG abundance in adjacent environments was comparable to that in the glaciers of the Qinghai-Xizang Plateau, but in the anthropogenically impacted environment, it was significantly higher than in glaciers. A shared resistome was identified in glaciers, dominated by bacitracin, multidrug, and macrolide-lincosamide-streptogramin (MLS) resistance genes. The bacA gene, which is related to bacitracin resistance, was the most common subtype, indicating that it is naturally present in microbial communities of glaciers. Risk assessments showed that 74.1 %–78.9 % of ARGs were low-risk in the Qinghai-Xizang Plateau and polar glaciers, indicating minimal human influence. However, 7.3 %–8.0 % were classified as high-risk, posing potential threats through horizontal gene transfer (HGT) and the spread of multidrug-resistant pathogens. These findings highlight the need to monitor ARGs in glacier environments, as climate change accelerates glacier melting and subsequent release of ARGs into downstream ecosystems.

抗生素耐药基因（ARGs）日益被认为是一种全球公共卫生威胁，冰川是ARGs通过大气途径运输的储藏库。气候变暖加速冰川融化，向下游环境释放ARGs，对生态健康和水生生态系统可持续发展构成挑战。然而，ARGs的分布概况及其在极地冰川中的风险仍不清楚。本研究利用294个宏基因组序列调查了青藏高原、南极和北极地区冰川ARGs的分布和风险，并将其与邻近环境和受人为影响的环境进行了比较。在研究的3个冰川区中，青藏高原ARGs丰度最高，南极洲最少。邻近环境中ARG丰度与青藏高原冰川相当，但在人为影响环境中，ARG丰度显著高于冰川。在冰川中发现了一个共享的抵抗组，主要是杆菌肽、多药和大环内酯-林科胺-链状gramin （MLS）耐药基因。与杆菌素耐药性有关的bacA基因是最常见的亚型，这表明它自然存在于冰川的微生物群落中。风险评估显示，青藏高原和极地冰川地区74.1% ~ 78.9%的ARGs为低风险，表明人类影响最小。然而，7.3% - 8.0%被列为高风险，通过水平基因转移（HGT）和多重耐药病原体的传播构成潜在威胁。这些发现强调了监测冰川环境中ARGs的必要性，因为气候变化加速了冰川融化，随后ARGs释放到下游生态系统中。

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引用次数: 0

Navigating the safe and just operating space for urban systems: A cross-scale landscape approach 为城市系统导航安全和公正的操作空间：一种跨尺度的景观方法

IF 8 1区环境科学与生态学 Q1 GEOGRAPHY, PHYSICAL

Geography and Sustainability

Pub Date : 2025-12-01 Epub Date: 2025-07-26 DOI: 10.1016/j.geosus.2025.100352

Hongyan Bian , Jianguo Wu , Runxi Jia , Linyong Wang , Zihan Zhu , Mengyu Wei , Jie Gao

Safe and just operating spaces (SJOS) are influenced by complex cross-scale interactions and cascading effects spanning global, regional, and local landscape scales. However, existing SJOS research has often focused on single-scale assessments, overlooking the impacts of multiscale interactions and within-region heterogeneity on urban SJOS. To address this gap, we developed a cross-scale framework for assessing urban SJOS, explicitly incorporating top-down influences from upper-level constraints and bottom-up effects from lower-level heterogeneity. This approach was applied to China’s five major metropolises to examine the states and cross-scale dynamics influencing urban SJOS between 1990 and 2020. Our findings reveal that the SJOS of China’s metropolises were primarily influenced by factors at national and local landscape scales, with weaker influences from the global and continental scales. A persistent trade-off between social justice and environmental safety was identified across spatiotemporal scales. For instance, Chongqing in southwestern China lagged behind the eastern four metropolises in social performance but exhibited stronger environmental safety due to its extensive natural landscapes, which mitigated the anthropogenic impacts of urban centers. Regional issues, such as the overshoot of PM_2.5 and ecological footprints (EF), were primarily driven by the bottom-up accumulation of localized pressures, while the overshoot of CO₂ was attributed to national policy constraints and the universal exceedance of safe thresholds across scales. Addressing urban sustainability requires avoiding adverse cascading effects from other levels by emphasizing landscape heterogeneity within metropolises and fostering coordinated collaboration across scales, particularly at the regional landscape and national levels.

安全与公正的操作空间（SJOS）受到复杂的跨尺度相互作用和级联效应的影响，这些效应跨越全球、区域和地方景观尺度。然而，现有的城市sjo研究往往侧重于单尺度评估，忽视了多尺度相互作用和区域内异质性对城市sjo的影响。为了解决这一差距，我们开发了一个评估城市sjo的跨尺度框架，明确地结合了上层约束的自上而下影响和下层异质性的自下而上影响。以1990 - 2020年中国五大城市为例，研究了影响城市sjo的状态和跨尺度动态。研究结果表明，中国大都市的sjo主要受国家和地方景观尺度的影响，全球和大陆尺度的影响较弱。社会公正与环境安全之间的持续权衡跨越时空尺度。例如，中国西南部的重庆在社会绩效方面落后于东部四大大都市，但由于其广泛的自然景观，减轻了城市中心的人为影响，因此表现出更强的环境安全性。区域问题，如PM2.5和生态足迹（EF）的超调，主要是由局部压力的自下而上积累驱动的，而CO 2的超调则归因于国家政策约束和跨尺度的普遍超过安全阈值。解决城市可持续性问题需要通过强调大都市内部景观的异质性和促进跨尺度（特别是区域景观和国家层面）的协调合作，避免来自其他层面的负面级联效应。

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引用次数: 0