Geography and Sustainability最新文献_第3页

Life cycle environmental impacts and emission reduction pathways of wind power in western China: A scenario-based assessment 中国西部风电全生命周期环境影响与减排路径：基于场景的评估

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

Geography and Sustainability

Pub Date : 2025-11-28 DOI: 10.1016/j.geosus.2025.100394

Ning Su , Xiaobing Li , Xin Lyu , Dongliang Dang , Siyu Liu , Chenhao Zhang

Compared with traditional energy sources, wind power has a lower environmental impact. However, emissions are still generated across the life cycle of wind turbines, from production to recycling. As wind power rapidly develops and deployment increases, these impacts are becoming increasingly evident. A comprehensive understanding of these impacts is crucial for sustainable development. Based on the harmonization of previous detailed life cycle assessment (LCA) studies, this study develops a simplified LCA model that estimates the life cycle environmental impacts of wind turbines based on their nominal power. Using this simplified LCA model, we assess the global warming potential (GWP), acidification potential (AP), and cumulative energy demand (CED) of wind power at the regional scale for 2022 and under three future scenarios (high-power wind turbine promotion, reduced wind curtailment, and a comprehensive development scenario). The results indicate that in 2022, the life cycle GWP, AP, and CED of wind power in western China were 10.76 g CO₂ eq/kWh, 0.177 g SO₂ eq/kWh, and 17.6 kJ/kWh, respectively. Scenario simulations suggest that reducing wind curtailment is the most effective approach for reducing emissions in Inner Mongolia, Gansu, Qinghai, Ningxia, and Xinjiang, producing average decreases of 8.64 % in GWP, 8.39 % in AP, and 9.26 % in CED. In contrast, for Guangxi, Chongqing, Sichuan, Guizhou, Yunnan, Xizang, and Shaanxi, the promotion of high-power wind turbines provides greater environmental benefits than reducing curtailment, producing average decreases of 3.45 %, 3.09 %, and 4.29 % in GWP, AP, and CED, respectively. These findings help clarify the environmental impact of wind power across its life cycle at the regional scale and provide theoretical references for the direction of future wind power development and the formulation of related policies.

与传统能源相比，风力发电对环境的影响较小。然而，在风力涡轮机的整个生命周期中，从生产到回收，仍然会产生排放。随着风电的快速发展和部署的增加，这些影响变得越来越明显。全面了解这些影响对可持续发展至关重要。基于先前详细的生命周期评估（LCA）研究的统一，本研究开发了一个简化的LCA模型，该模型基于其标称功率估计风力涡轮机的生命周期环境影响。利用该简化的LCA模型，我们评估了2022年区域尺度上风电的全球变暖潜势（GWP）、酸化潜势（AP）和累积能源需求（CED），以及未来三种情景（大功率风力发电推广、减少弃风和综合开发情景）。结果表明，2022年中国西部风电全生命周期GWP、AP和CED分别为10.76 g CO2 eq/kWh、0.177 g SO2 eq/kWh和17.6 kJ/kWh。情景模拟结果表明，减少弃风是内蒙古、甘肃、青海、宁夏和新疆地区最有效的减排方法，平均减少了8.64%的GWP，减少了8.39%的AP和9.26%的CED。相比之下，在广西、重庆、四川、贵州、云南、西藏和陕西，推广大功率风力发电机组的环境效益大于减少弃风，GWP、AP和CED的平均降幅分别为3.45%、3.09%和4.29%。这些发现有助于在区域尺度上理清风电全生命周期的环境影响，为未来风电发展方向和相关政策的制定提供理论参考。

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引用次数: 0

Increasing meridional disparity of population exposure to heat stress 人口暴露于热应激的经向差异越来越大

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

Geography and Sustainability

Pub Date : 2025-11-28 DOI: 10.1016/j.geosus.2025.100391

Xiaofan Xu , Yuxiao Kong , Jintao Zhang , Jianping Duan , Minghong Tan , Xue Yang , Hongzhou Zhu , Deliang Chen

Global warming and socioeconomic development are expected to exacerbate human exposure to heat stress, but the extent and inequality of such changes remain unclear. Here, we quantified the future population exposure to heat stress (PEHS) under different Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs) scenarios using a novel decomposition framework that separates the contributions of climate change, population change, and their interaction. Results show that global PEHS will increase substantially during the 21st century, with low-latitude regions experiencing the largest absolute increases, and high-latitude regions facing the largest relative increases. Globally, projected increases in PEHS under SSP3–7.0 are roughly three times those under SSP1–2.6, with low latitudes contributing about 70 %–75 % of the global total. SSP1–2.6 most effectively limits future heat exposure, with the highest risks in low-latitude developing regions, underscoring the need for low-emission pathways and targeted population and urbanization management. The findings highlight the urgent need for both climate mitigation and population adaptation strategies to address the growing and uneven heat exposure risks worldwide.

全球变暖和社会经济发展预计会加剧人类的热应激暴露，但这种变化的程度和不平等尚不清楚。本文采用一种分离气候变化、人口变化及其相互作用的新型分解框架，量化了不同共享社会经济路径（ssp）和代表性浓度路径（rcp）情景下的未来人口热应激暴露（PEHS）。结果表明，21世纪全球PEHS将大幅增加，其中低纬度地区的绝对增幅最大，高纬度地区的相对增幅最大。在全球范围内，在SSP3-7.0下预估的PEHS增长大约是SSP1-2.6下的3倍，其中低纬度地区约占全球总量的70% - 75%。SSP1-2.6最有效地限制了未来的热暴露，低纬度发展中地区的风险最高，强调了低排放途径和有针对性的人口和城市化管理的必要性。研究结果强调，迫切需要制定气候减缓和人口适应战略，以应对全球日益增长和不均匀的热暴露风险。

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引用次数: 0

Linking net ecosystem benefits and human activity: Regional management implications on the China’s Loess Plateau 链接生态系统净效益与人类活动：中国黄土高原区域管理启示

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

Geography and Sustainability

Pub Date : 2025-11-28 DOI: 10.1016/j.geosus.2025.100398

Xiaozhen Wang , Shuai Wang , Kangying Li , Xing Wu , Chunbo Huang , Zhouping Shangguan , Kaibo Wang , Lei Deng

Understanding the complex interactions between human activities and ecosystem functions is a prerequisite for achieving sustainable development. Since the implementation of the “Grain for Green” Project in 1999, ecosystem functions in China’s Loess Plateau have significantly improved. However, intensified human activities have also exacerbated the pressures on the region’s fragile ecological environment. This study investigates the spatiotemporal variations in the human activity intensity index (HAI) and net ecosystem benefits (NEB) from 2000 to 2020, using expert-based assessments and an enhanced cost-benefit evaluation framework. Results indicate that HAI increased by 16.7 % and 16.6 % at the grid and county levels, respectively. NEB exhibited pronounced spatial heterogeneity, with a total increase of USD 36.2 trillion at the grid scale. At the county level, the average NEB rose by 75 %. The degree of trade-off was higher at the grid scale than at the county scale, while the synergistic areas initially expanded and then declined at both scales. Key areas for improvement and regions of lagging development were identified as priority zones for ecological management and spatial planning at both spatial resolutions. This study offers scientific insights and practical guidance for harmonizing ecological conservation with high-quality development in ecologically vulnerable regions.

了解人类活动与生态系统功能之间复杂的相互作用是实现可持续发展的先决条件。1999年实施退耕还林工程以来，黄土高原生态系统功能得到明显改善。然而，人类活动的加剧也加剧了该地区脆弱生态环境的压力。本文采用基于专家的评估方法和改进的成本效益评估框架，研究了2000 - 2020年人类活动强度指数（HAI）和净生态系统效益（NEB）的时空变化。结果表明，栅格级和县域级的HAI分别提高了16.7%和16.6%。新经济地区的空间异质性明显，在网格尺度上增长了36.2万亿美元。在县一级，平均国民收入增长了75%。在县域尺度上，县域尺度上的协同面积呈先扩大后减小的趋势；将重点改善区域和滞后区域确定为生态治理和空间规划的优先区域。该研究为生态脆弱区生态保护与高质量发展的协调提供了科学见解和实践指导。

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引用次数: 0

The increasing climate suitability for human habitation on the Qinghai–Xizang Plateau 青藏高原适宜人类居住的气候日益增加

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

Geography and Sustainability

Pub Date : 2025-11-28 DOI: 10.1016/j.geosus.2025.100393

Jinhao Liu , Zhongbao Xin

Global climate change is a pressing environmental challenge. Climate-induced migration highlights the severe impact of unsuitable climatic conditions. However, current research methods are limited in their ability to assess climate suitability for residents in high-altitude areas. In this study, we assess climate suitability across the Qinghai–Xizang Plateau from 1979 to 2018 and project future changes using four different Shared Socioeconomic Pathway (SSP) climate scenarios by constructing the Climate Suitability Index (CSI). The findings reveal a notable increase in CSI from 0.32 to 0.36 from 1979 to 2018. The primary factors contributing to the increased climate suitability are increasing annual mean precipitation (61.42 %) and decreasing solar radiation (17.22 %) from 1979 to 2018. Furthermore, the study forecasts a continued enhancement of climate suitability across all SSP scenarios, with SSP585 demonstrating the greatest improvement, followed by SSP370, SSP245, and SSP126. Although low oxygen levels at high altitudes remain a challenge, the overall improvement in climate suitability offers hope for people living at high altitudes to cope with climate change.

全球气候变化是一项紧迫的环境挑战。气候引起的移徙突出了不适宜气候条件的严重影响。然而，目前的研究方法在评估高海拔地区居民的气候适宜性方面能力有限。本研究通过构建气候适宜性指数（CSI），评估了1979 - 2018年青藏高原的气候适宜性，并在4种不同的共享社会经济路径（SSP）气候情景下预测了未来的变化。研究结果显示，从1979年到2018年，CSI从0.32显著增加到0.36。1979 ~ 2018年气候适宜性增加的主要因子是年平均降水量增加（61.42%）和太阳辐射减少（17.22%）。此外，研究预测所有SSP情景的气候适宜性持续增强，其中SSP585表现出最大的改善，其次是SSP370、SSP245和SSP126。尽管高海拔地区的低氧水平仍然是一个挑战，但气候适应性的整体改善为生活在高海拔地区的人们应对气候变化提供了希望。

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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 : 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 : 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

Exploring the optimal nitrogen threshold for global grassland restoration 探索全球草地恢复的最佳氮阈值

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

Geography and Sustainability

Pub Date : 2025-11-27 DOI: 10.1016/j.geosus.2025.100396

Qi Zhang , Fu Chen , Zhanbin Luo , Jun Fan , Yanfeng Zhu , Jing Ma , Yongjun Yang , Xi-en Long , Alejandro Gonzalez-Ollauri , Miao Gan , Weihong Guo , Yuxiang Ma , Qiaoling Wang , Shenglu Zhou , Mingan Shao

Amid accelerating global land degradation, establishing high-efficiency ecological restoration principles and frameworks is crucial. Here, we explore the application of threshold effects in the ecological restoration process based on field experiments and globally available experimental data from 173 sites. Combining data integration analysis and meta-analysis, we collectively verified the universality of threshold effects in grasslands. The global grasslands’ average nitrogen application threshold is 3.78 g·m⁻²·yr⁻¹, while the threshold value of degraded grassland (3.65 g·m⁻²·yr⁻¹) is lower than that of nondegraded grassland (5.90 g·m⁻²·yr⁻¹). The low nitrogen-driven thresholds are affected by degradation status, climate (precipitation and temperature), and other site conditions, but not fertilization forms. Independent experiments further demonstrated that an increase in soil moisture content can lead to the disappearance of nitrogen threshold effects, revealing that ecological threshold effects are influenced by ecosystem stress factors. Following the significant increase in plant biomass triggered by the nitrogen threshold, the ecosystem undergoes systemic improvement. Soil organic carbon, urease activity, soil microbial diversity, and other soil properties are significantly enhanced. Soil nitrogen cycle-related microbial communities and soil physicochemical attributes are significantly activated. The results indicate that a threshold response pattern may develop before nitrogen saturation is reached, and low nitrogen input can boost productivity and improve the plant-soil-microbe system. Our findings reveal a nonprogressive path of restoration in degraded ecosystems, and thus, restoration based on threshold effects can offer an efficient and safe solution to combat ecological degradation.

在全球土地退化加速的背景下，建立高效的生态恢复原则和框架至关重要。本文基于野外实验和全球173个站点的实验数据，探讨了阈值效应在生态恢复过程中的应用。结合数据整合分析和meta分析，共同验证了草原阈值效应的普遍性。全球草地的平均施氮阈值为3.78 g·m−2·yr−1，退化草地的阈值为3.65 g·m−2·yr−1，低于未退化草地的阈值5.90 g·m−2·yr−1。低氮驱动阈值受退化状况、气候（降水和温度）和其他立地条件的影响，但不受施肥形式的影响。独立实验进一步表明，土壤含水量的增加会导致氮阈值效应的消失，说明生态阈值效应受生态系统胁迫因素的影响。随着氮阈值引发的植物生物量显著增加，生态系统经历了系统性改善。土壤有机碳、脲酶活性、土壤微生物多样性等土壤特性显著增强。与土壤氮循环相关的微生物群落和土壤理化属性被显著激活。结果表明，在氮素达到饱和之前可能会形成一个阈值响应模式，低氮投入可以提高生产力，改善植物-土壤-微生物系统。我们的研究结果揭示了退化生态系统的非渐进式恢复路径，因此，基于阈值效应的恢复可以为对抗生态退化提供一种有效和安全的解决方案。

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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 : 2025-11-10 DOI: 10.1016/j.geosus.2025.100378

David J Eldridge

引用次数: 0

Biophysical and socioeconomic drivers of livestock management in high-altitude Xizang, China 西藏高原畜牧业管理的生物物理和社会经济驱动因素

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

Geography and Sustainability

Pub Date : 2025-10-13 DOI: 10.1016/j.geosus.2025.100377

Yu Zhang , Ben Niu , Zhipeng Wang , Meng Li , Jianshuang Wu , Xianzhou Zhang

Livestock management plays a crucial role in environmental protection, food security, and sustainable livelihoods worldwide. However, comprehensive research on its microeconomic dimensions remains limited. Here, we used piecewise structural equation modeling to identify key drivers of livestock management among rural smallholders, focusing on livestock stocking rates (LSR) and livestock offtake rates (LOR). Data were collected via semi-structured questionnaires and household head interviews in 54 villages in northern Xizang between 2018 and 2020 (n = 549). Our findings revealed pronounced spatial heterogeneity in livestock management, with households in alpine meadows showing the highest LSR (2.14 standardized sheep units per hectare, SSU· ha⁻¹) and the lowest LOR (9 %), in contrast to households in desert steppe areas (0.27 SSU· ha⁻¹ and 15 %, respectively). Across northern Xizang, five grouped environmental factors—climatic conditions, natural resource endowment, market conditions, demographics, and household income—jointly explained 66 % and 20 % of the variance in LSR and LOR, respectively. Biophysical factors had a greater influence than socioeconomic ones, though demographic variables and market conditions were also positively correlated with LSR and LOR, respectively. Given the consistently low LOR among species (9 %–15 %), with marked differences between yaks and sheep (5 %) and goats (2 %), targeted policies are needed to encourage herders to adopt circular economy practices to balance ecological conservation with economic growth. This study highlights an underutilized livestock economy in high-altitude pastoral communities and clarifies the interplay of biophysical and socioeconomic factors in herders’ decision-making. The findings offer valuable insights for refining policy frameworks related to livestock and environmental management in rural China and beyond.

牲畜管理在全世界的环境保护、粮食安全和可持续生计方面发挥着至关重要的作用。然而，对其微观经济层面的全面研究仍然有限。本研究采用分段结构方程模型，以牲畜放养率（LSR）和牲畜摄取率（LOR）为重点，分析了农村小农畜牧业管理的关键驱动因素。通过半结构化问卷和户主访谈的方式收集了2018 - 2020年西藏北部54个村庄（n = 549）的数据。研究结果显示，在牲畜管理方面存在明显的空间异质性，高山草甸家庭的LSR最高（2.14个标准化羊单位/公顷，SSU·ha - 1）， LOR最低（9%），而沙漠草原地区家庭的LSR分别为0.27个SSU·ha - 1和15%。在西藏北部，五组环境因素——气候条件、自然资源禀赋、市场条件、人口统计和家庭收入——分别解释了66%和20%的LSR和LOR差异。生物物理因素的影响大于社会经济因素，但人口变量和市场条件也分别与LSR和LOR呈正相关。考虑到物种间的循环经济效率持续较低（9% - 15%），牦牛与绵羊（5%）和山羊（2%）之间的差异显著，需要有针对性的政策来鼓励牧民采用循环经济实践，以平衡生态保护与经济增长。本研究突出了高海拔牧区未充分利用的畜牧业经济，并阐明了生物物理和社会经济因素在牧民决策中的相互作用。研究结果为完善中国农村及其他地区与牲畜和环境管理相关的政策框架提供了宝贵的见解。

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引用次数: 0

Mapping geography’s engagement with the Sustainable Development Goals: Research foci, contributions, and future directions 绘制地理学与可持续发展目标的关系：研究焦点、贡献和未来方向

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

Geography and Sustainability

Pub Date : 2025-09-28 DOI: 10.1016/j.geosus.2025.100376

Zizhao Ni , Wenwu Zhao , Caichun Yin , Michael E. Meadows , Paulo Pereira

Although geography’s role in advancing the Sustainable Development Goals (SDGs) is widely recognised, a comprehensive quantitative synthesis of its intellectual contributions has been absent. This study fills that critical research gap through a large-scale bibliometric analysis. Drawing from 122 core geography journals (Web of Science, 2010–2024), we employed three-level search criteria (SDGs, sustainability and SDG indicators) to identify a final corpus of 70,122 relevant articles. We then combined publication trend analysis, co-citation and collaboration networks, and keyword co-occurrence mapping to systematically delineate research foci, contributions, and future directions. Our findings reveal six major thematic research clusters: (1) climate change impacts and governance; (2) agricultural landscape and environmental sustainability; (3) resilience and adaptive capability in social-ecological systems; (4) land use change and metacoupling impacts; (5) urban growth and transport accessibility; and (6) biodiversity and ecosystem services. The SDG overlap analysis highlights strong linkages among environmental SDGs, while revealing that SDG 1 (No Poverty) and SDG 10 (Reduced Inequalities) are more isolated. Overall, geography supports the SDGs across four key dimensions: (1) providing spatial data analysis for assessment; (2) conducting regional studies for localisation; (3) applying human-environment interaction research to advance synergies; and (4) strengthening science-policy interface efforts for achievement. To maximise its future impact, this study calls for the geography community to develop a dedicated methodological framework for SDG analysis, proactively contribute to shaping the post-2030 agenda, advance holistic integrated approaches, and prudently harness the power of artificial intelligence to accelerate sustainability transitions.

尽管地理学在推进可持续发展目标（sdg）方面的作用得到了广泛认可，但尚未对其智力贡献进行全面的定量综合。本研究通过大规模文献计量分析填补了这一关键研究空白。从122种核心地理期刊（Web of Science, 2010-2024）中，我们采用了三级搜索标准（可持续发展目标、可持续性和可持续发展目标指标）来确定70,122篇相关文章的最终语料库。然后，我们结合发表趋势分析、共被引和合作网络、关键词共现映射，系统地描绘了研究重点、贡献和未来方向。研究结果揭示了六大专题研究集群：(1)气候变化影响与治理；(2)农业景观与环境可持续性；(3)社会生态系统的复原力和适应能力；(4)土地利用变化及其元耦合影响；(5)城市增长和交通可达性；(6)生物多样性和生态系统服务。可持续发展目标重叠分析强调了环境可持续发展目标之间的紧密联系，同时揭示了可持续发展目标1（消除贫困）和可持续发展目标10（减少不平等）更加孤立。总体而言，地理在四个关键维度上支持可持续发展目标：(1)为评估提供空间数据分析；（二）进行区域本土化研究；(3)应用人与环境相互作用研究促进协同效应；(4)加强科学与政策的对接努力。为了最大限度地发挥其未来影响，本研究呼吁地理学界为可持续发展目标分析制定专门的方法框架，积极参与制定2030年后议程，推进整体综合方法，并审慎利用人工智能的力量加速可持续发展转型。

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引用次数: 0