Geography and Sustainability最新文献

Evidence on community-based forestry for climate targets: A systematic literature review 以社区为基础的林业实现气候目标的证据：系统文献综述

IF 9.8 1区环境科学与生态学

Geography and Sustainability Pub Date : 2026-10-01 Epub Date: 2026-09-18 DOI: 10.1016/j.geosus.2026.100548

Nurul Silva Lestari, Daya Raj Subedi, Prajal Pradhan

{"title":"Evidence on community-based forestry for climate targets: A systematic literature review","authors":"Nurul Silva Lestari, Daya Raj Subedi, Prajal Pradhan","doi":"10.1016/j.geosus.2026.100548","DOIUrl":"10.1016/j.geosus.2026.100548","url":null,"abstract":"<div><div>Global and national policies to reduce greenhouse gas (GHG) emissions require effective site-level implementations. Community-based forestry (CBF) has been increasingly included in national climate mitigation strategies, yet evidence on where CBF climate actions occur, how mitigation impacts are assessed, and what benefits communities receive remains fragmented. We conducted a systematic literature review of empirical practices to address this gap, resulting in 185 papers for content analysis. We found that most studies are concentrated in Asia and Africa, with uneven coverage across countries. Studies focus mainly on terrestrial ecosystems, while wetlands remain underrepresented. Carbon stock enhancement is the most frequently examined mitigation action, followed by avoided deforestation. However, estimates are predominantly site-specific, limiting inference at broader spatial scales. Reported benefits include multiple ecosystem services, with cultural services most frequently mentioned. Regarding monetary benefits, we found limited evidence on carbon revenues. Some studies also reported concerns about the clarity of allocation criteria, with potential implications for transparency and equity. Enhancing CBF contributions to climate targets requires supportive climate policies that provide robust measurement and monitoring frameworks, improve access to climate finance, and strengthen tenure security and carbon rights. Broader empirical coverage beyond the existing evidence base is also needed to deepen understanding of CBF’s role in climate mitigation.</div></div>","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":"7 5","pages":"Article 100548"},"PeriodicalIF":9.8,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149140962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Place, space, and scale: A meta-theoretical geographic framework for understanding industrial decarbonisation in Australia 地点、空间和规模：理解澳大利亚工业脱碳的元理论地理框架

IF 9.8 1区环境科学与生态学

Geography and Sustainability Pub Date : 2026-10-01 Epub Date: 2026-09-18 DOI: 10.1016/j.geosus.2026.100549

Joao M. Uratani, Marfuga Iskandarova, Benjamin K. Sovacool, Steve Griffiths

{"title":"Place, space, and scale: A meta-theoretical geographic framework for understanding industrial decarbonisation in Australia","authors":"Joao M. Uratani, Marfuga Iskandarova, Benjamin K. Sovacool, Steve Griffiths","doi":"10.1016/j.geosus.2026.100549","DOIUrl":"10.1016/j.geosus.2026.100549","url":null,"abstract":"<div><div>The decarbonisation of heavy industries is a key challenge in ongoing climate action and policy. These industries, also referred to as “hard-to-abate”, require significant technological, economic and political support to align with net zero greenhouse gas transition pathways. The understanding of such sustainability transitions, generally, is a fertile area of scholarly research and practice, yet considerations for the geographic aspects of these processes are only more recently being brought to the forefront. Hence, the present work contributes to addressing this gap by adopting a composite, Human Geography-oriented lens to understand industrial decarbonisation processes in a case study country. We investigate industrial decarbonisation in Australia using Geography of Energy Transitions, Net Zero Sense of Place and Global Innovation Systems frameworks to understand the regional diversity within Australia of such decarbonisation processes. We identify twelve themes in our primary data consisting of stakeholder interviews and field work site visits, which are organised in four core thematic groups, namely place, space, scale and innovation systems. By assessing these themes through our composite lens consisting of twenty analytical dimensions stemming from the three analytical lenses, we find that the regional differences in industrial decarbonisation within Australia can be understood as one of six regional decarbonisation archetypes. This composite lens further enables strategic decision-making and policy action that is cognisant of local-context factors.</div></div>","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":"7 5","pages":"Article 100549"},"PeriodicalIF":9.8,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149199166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Food system transformation for sustainable development 粮食体系转型促进可持续发展

IF 9.8 1区环境科学与生态学

Geography and Sustainability Pub Date : 2026-08-01 Epub Date: 2026-07-20 DOI: 10.1016/j.geosus.2026.100525

Golam Rasul

引用次数: 0

The escalating toll of climate disasters on global food security: A call for systemic resilience governance 气候灾害对全球粮食安全造成的日益严重的影响：呼吁建立系统的抗灾治理

IF 9.8 1区环境科学与生态学

Geography and Sustainability Pub Date : 2026-08-01 Epub Date: 2026-08-03 DOI: 10.1016/j.geosus.2026.100527

引用次数: 0

Realizing adaptive governance of coupled climate–social systems: A deep reinforcement learning framework 实现耦合气候-社会系统的自适应治理：一个深度强化学习框架

IF 9.8 1区环境科学与生态学

Geography and Sustainability Pub Date : 2026-08-01 Epub Date: 2026-07-09 DOI: 10.1016/j.geosus.2026.100519

Xin Lin, Yi Lu, Donghai Zheng, Erhu Du, Zhen Meng, Ziyong Sun, Shiwei Yuan, Xin Li

{"title":"Realizing adaptive governance of coupled climate–social systems: A deep reinforcement learning framework","authors":"Xin Lin, Yi Lu, Donghai Zheng, Erhu Du, Zhen Meng, Ziyong Sun, Shiwei Yuan, Xin Li","doi":"10.1016/j.geosus.2026.100519","DOIUrl":"10.1016/j.geosus.2026.100519","url":null,"abstract":"<div><div>The escalating pressure of global warming necessitates practical and effective climate governance policies to meet the urgent goals of the <em>Paris Agreement</em>. However, for conventional policy simulation models like integrated assessment models (IAMs), their reliance on predetermined scenarios makes it challenging to adequately address the substantial uncertainties inherent in climate-social system evolution. This study proposes an adaptive decision-making framework that integrates deep reinforcement learning (DRL) with a climate–social system model to identify governance strategies that can reduce the risk of transgressing planetary boundaries. In this framework, we operationalize Social Tipping Elements (STEs) as targeted actions. A reward function provides feedback to optimize these interventions, ensuring the system remains within critical planetary boundaries. Our results demonstrate that, compared to conventional static models, the framework discovers adaptive policies through dynamic learning, enabling real-time responses to evolving climate-social conditions. These adaptive policies exhibit an “early-stage intensive intervention, mid-term moderation, and late-stage reinforcement” pattern that reduces planetary boundary overshoot time by 55 years while stabilizing global warming below 1.5 °C by 2100. By varying governance objectives, we further reveal the trade-off mechanisms between competing climate and socioeconomic goals. Notably, the designed multi-objective reward function enables a synergistic balance across competing objectives, resulting in the shortest planetary boundary overshoot duration (15 years) among all evaluated scenarios. This framework overcomes the limitations of static simulations, offering a robust and interpretable tool to design adaptive strategies crucial for navigating the competing objectives of time-sensitive climate governance.</div></div>","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":"7 4","pages":"Article 100519"},"PeriodicalIF":9.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148730330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pedestrian accessibility in 15-minute cities: A systematic review of measurement methodologies and perceptible aspects 15分钟城市的步行可达性：测量方法和可感知方面的系统回顾

IF 9.8 1区环境科学与生态学

Geography and Sustainability Pub Date : 2026-08-01 Epub Date: 2026-08-04 DOI: 10.1016/j.geosus.2026.100528

Tong Chen, Asya Natapov, Taimaz Larimian

{"title":"Pedestrian accessibility in 15-minute cities: A systematic review of measurement methodologies and perceptible aspects","authors":"Tong Chen, Asya Natapov, Taimaz Larimian","doi":"10.1016/j.geosus.2026.100528","DOIUrl":"10.1016/j.geosus.2026.100528","url":null,"abstract":"<div><div>The 15-minute city concept, which promotes urban liveability by ensuring that essential services are accessible within a short walking distance, has gained global attention as a sustainable alternative to car-dependent urban sprawl. While existing accessibility studies predominantly rely on map-based methods and non-pedestrian-focused mobility assessments, significant gaps remain in understanding pedestrian accessibility from a perceptual and experiential standpoint. This study addresses these gaps through a systematic review of 53 scholarly articles sourced from Web of Science, Scopus, and Google Scholar, critically examining the methodologies, metrics, techniques, and data inputs used to assess pedestrian accessibility in 15-minute city models. The review particularly focuses on data acquisition, tool digitalization, and methodological refinement. Findings highlight global trends in the implementation of pedestrian accessibility assessment, revealing variations in demographic representation, data diversity, and scale of analysis. The results show a strong reliance on geospatial data-driven approaches but a limited incorporation of perceived urban attributes, such as visual environments, travel impedance, and street-level experiences, in pedestrian-focused accessibility models. Furthermore, the study underscores the potential of integrating perceptual indicators into accessibility assessments to bridge the gap between urban infrastructure and pedestrian experience. By synthesizing advancements in data-driven urban analytics, this review contributes to the refinement of pedestrian accessibility measurement frameworks, advocating for more inclusive, perception-based urban planning strategies.</div></div>","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":"7 4","pages":"Article 100528"},"PeriodicalIF":9.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148776758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distinct differences in the zero hunger network among countries with varying income levels 不同收入水平国家的零饥饿网络存在明显差异

IF 9.8 1区环境科学与生态学

Geography and Sustainability Pub Date : 2026-08-01 Epub Date: 2026-06-26 DOI: 10.1016/j.geosus.2026.100517

Zhengkang Zhu, Tianshi Pan, Xiao Wang, Pete Smith, Yurui Li, Yu Chen, Lijun Zuo

{"title":"Distinct differences in the zero hunger network among countries with varying income levels","authors":"Zhengkang Zhu, Tianshi Pan, Xiao Wang, Pete Smith, Yurui Li, Yu Chen, Lijun Zuo","doi":"10.1016/j.geosus.2026.100517","DOIUrl":"10.1016/j.geosus.2026.100517","url":null,"abstract":"<div><div>Zero Hunger (Sustainable Development Goal 2, SDG 2) serves as a cornerstone for achieving global sustainable development, and is intricately linked with other SDGs exhibiting complex and multifaceted synergies and trade-offs. While the interconnections among indicators referring to food system within environmental domain have been widely investigated, interactions among indicators of all three pillars (social, economic, and environmental) remain under-researched. This study leverages the 2020 Sustainable Development Solutions Network (SDSN) assessment data to construct a global SDG 2-related network comprising 38 targets and 61 indicators, and examine how this network’s structure varies across income levels. The results reveal high-income countries (HICs) have achieved notable advancements in eradicating hunger and improving agricultural productivity, while facing unique challenges of overnutrition. Low-income countries (LICs), by contrast, face persistent constraints in agricultural productivity, infrastructure, and resource access. Across the global SDG 2-related network, SDG 2 targets show direct synergies with 31 targets in other SDGs, covering all studied economic targets, whereas 10 targets exhibit direct trade-offs, all of which are related to the environment. The share of trade-offs declines as income rises, from 28 % in LICs to 13 % in HICs. Synergies mainly occur between economic targets in LICs, while they often occur between economic and social targets in HICs. Trade-offs linked to environmental targets indicate LICs rely more on natural resources, whereas HICs face environmental spillovers. These findings underscore the need for tailored strategies, with LICs prioritizing agricultural productivity and infrastructure, while HICs addressing social equity, social distribution, and environmental sustainability.</div></div>","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":"7 4","pages":"Article 100517"},"PeriodicalIF":9.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148656784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mapping Artificial Intelligence concerns to global sustainability: Insights from social media and expert solutions 将人工智能问题映射到全球可持续性：来自社交媒体和专家解决方案的见解

IF 9.8 1区环境科学与生态学

Geography and Sustainability Pub Date : 2026-08-01 Epub Date: 2026-07-17 DOI: 10.1016/j.geosus.2026.100524

Navid Mohammadi, Mehrdad Maghsoudi, Mohammadreza Bakhtiari

{"title":"Mapping Artificial Intelligence concerns to global sustainability: Insights from social media and expert solutions","authors":"Navid Mohammadi, Mehrdad Maghsoudi, Mohammadreza Bakhtiari","doi":"10.1016/j.geosus.2026.100524","DOIUrl":"10.1016/j.geosus.2026.100524","url":null,"abstract":"<div><div>Artificial Intelligence (AI) is increasingly recognized as both an enabler of and a risk to sustainable development. Yet research remains dominated by expert-driven assessments, with little attention to how the public perceives and discusses AI’s sustainability implications. This study examines concern-oriented public discourse about AI in relation to the United Nations Sustainable Development Goals (SDGs) by analyzing social media posts and developing expert-derived solutions. We collected and analyzed over 700,000 posts from X (formerly Twitter) spanning three years (2022–2025), applying natural language processing techniques including Fine-tuned BERT, Zero-Shot Classification, and Pre-trained XLNet. The analysis reveals pronounced imbalances in public attention across the 17 SDGs, with 52.8 % of AI-related discussions concentrated on SDG 9 (Industry, Innovation, and Infrastructure) and 11.8 % on SDG 16 (Peace, Justice, and Strong Institutions), while critical goals such as SDG 1 (No Poverty) and SDG 2 (Zero Hunger) receive minimal attention (1.0 % and 0.3 %, respectively). To address these gaps, we convened a focus group of nine experts from academia, industry, and policy sectors to develop actionable solutions for each SDG, including AI-driven financial inclusion tools, precision agriculture models, and energy-efficient “Green AI” technologies. Our findings suggest a notable misalignment between AI’s potential to address pressing humanitarian challenges and the patterns of concern-oriented public discourse captured in this study. These findings point to the need for broader public awareness, robust ethical governance, and interdisciplinary collaboration if AI is to advance sustainability goals equitably and reach underserved communities.</div></div>","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":"7 4","pages":"Article 100524"},"PeriodicalIF":9.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148730331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial heterogeneity in machine learning-based poverty mapping: Where do models underperform? 基于机器学习的贫困映射中的空间异质性：模型在哪里表现不佳？

IF 8 1区环境科学与生态学

Geography and Sustainability Pub Date : 2026-04-01 Epub Date: 2026-01-15 DOI: 10.1016/j.geosus.2026.100413

Yating Ru , Elizabeth Tennant , David S. Matteson , Christopher B. Barrett

{"title":"Spatial heterogeneity in machine learning-based poverty mapping: Where do models underperform?","authors":"Yating Ru , Elizabeth Tennant , David S. Matteson , Christopher B. Barrett","doi":"10.1016/j.geosus.2026.100413","DOIUrl":"10.1016/j.geosus.2026.100413","url":null,"abstract":"<div><div>Accurately locating poor populations is increasingly urgent as global poverty reduction has stalled under the combined pressures of conflicts, climate shocks, rising food prices, pandemics, and growing inequality. Recent studies harnessing geospatial big data and machine learning (ML) have significantly advanced poverty mapping, enabling granular and timely welfare estimates in traditionally data-scarce regions. While much of the existing research has focused on overall out-of-sample predictive performance, there is a lack of understanding regarding where such models underperform and whether key spatial relationships might vary across places. This study investigates spatial heterogeneity in ML-based poverty mapping in East Africa, testing whether spatial regression and ML techniques produce more unbiased predictions. We find that extrapolation into unsurveyed areas suffers from biases that spatial methods do not resolve; welfare is overestimated in impoverished regions, rural areas, and single sector-focused economies, whereas it tends to be underestimated in wealthier, urbanized, and diversified economies. Even as spatial models improve overall predictive accuracy, enhancements in traditionally underperforming areas remain marginal. This underscores the need for more representative training datasets and better remotely sensed proxies, especially for poor and rural regions, in future research related to ML-based poverty mapping. For development agencies, the findings caution against treating ML-based outputs as neutral or universally reliable, highlighting instead the need to pair technical advances with investments in inclusive data collection, integration of spatial theory, and institutional strategies that address structural data inequalities.</div></div>","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":"7 2","pages":"Article 100413"},"PeriodicalIF":8.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reply to Bullock et al. (2026) on ecosystem service models are indeed being validated 回复Bullock等人（2026）关于生态系统服务模型的文章确实正在得到验证

IF 8 1区环境科学与生态学

Geography and Sustainability Pub Date : 2026-04-01 Epub Date: 2026-03-17 DOI: 10.1016/j.geosus.2026.100462

Paulo Pereira , Miguel Inacio , Damia Barcelo , Wenwu Zhao

引用次数: 0