Yongze Song , Petra Helmholz , Fenzhen Su , Chenghu Zhou , Aynaz Lotfata , Motti Zohar , Miguel González Leonardo , Katarzyna Sila-Nowicka
{"title":"Advancing geospatial methods for addressing global resource and sustainability challenges","authors":"Yongze Song , Petra Helmholz , Fenzhen Su , Chenghu Zhou , Aynaz Lotfata , Motti Zohar , Miguel González Leonardo , Katarzyna Sila-Nowicka","doi":"10.1016/j.resconrec.2025.108517","DOIUrl":null,"url":null,"abstract":"<div><div>Rising demands on global resources and ecosystems require advanced geospatial methods to support monitoring, modeling, and sustainable management. However, challenges remain in integrating remote sensing, environmental process models, machine learning, spatial statistics, and hybrid systems to capture nonlinear processes and multi-scale interactions. The Special Issue on “<em>Advancing geospatial methods for sustainable resource management</em>” presents recent studies addressing biodiversity conservation, carbon and land use, urban material flows, waste monitoring, and supply chain equity. This editorial introduces a structured framework that connects geospatial methods from data acquisition to complex system modeling to five key resource and sustainability challenges. The framework identifies new directions for methodological innovation, multi-source data integration, and interdisciplinary applications that inform policy and advance circular economy transitions. Strengthening geospatial integration through advanced methods and cross-sector collaboration remains essential for effective sustainable resource management within complex socio-ecological systems.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"223 ","pages":"Article 108517"},"PeriodicalIF":10.9000,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resources Conservation and Recycling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0921344925003957","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Rising demands on global resources and ecosystems require advanced geospatial methods to support monitoring, modeling, and sustainable management. However, challenges remain in integrating remote sensing, environmental process models, machine learning, spatial statistics, and hybrid systems to capture nonlinear processes and multi-scale interactions. The Special Issue on “Advancing geospatial methods for sustainable resource management” presents recent studies addressing biodiversity conservation, carbon and land use, urban material flows, waste monitoring, and supply chain equity. This editorial introduces a structured framework that connects geospatial methods from data acquisition to complex system modeling to five key resource and sustainability challenges. The framework identifies new directions for methodological innovation, multi-source data integration, and interdisciplinary applications that inform policy and advance circular economy transitions. Strengthening geospatial integration through advanced methods and cross-sector collaboration remains essential for effective sustainable resource management within complex socio-ecological systems.
期刊介绍:
The journal Resources, Conservation & Recycling welcomes contributions from research, which consider sustainable management and conservation of resources. The journal prioritizes understanding the transformation processes crucial for transitioning toward more sustainable production and consumption systems. It highlights technological, economic, institutional, and policy aspects related to specific resource management practices such as conservation, recycling, and resource substitution, as well as broader strategies like improving resource productivity and restructuring production and consumption patterns.
Contributions may address regional, national, or international scales and can range from individual resources or technologies to entire sectors or systems. Authors are encouraged to explore scientific and methodological issues alongside practical, environmental, and economic implications. However, manuscripts focusing solely on laboratory experiments without discussing their broader implications will not be considered for publication in the journal.