中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A remote sensing-based assessment of biomass carbon global temporal trends in urban forests

文献类型:期刊论文

作者Fang, Wen4; Fan, Zhang4; Cai, Ying4; Wang, Yuyao1; Bai, Yuping3; Feng, Qi2
刊名SUSTAINABLE PRODUCTION AND CONSUMPTION
出版日期2025-09-01
卷号58页码:267-276
关键词Afforestation Reforestation Urban forests Biomass carbon storage
ISSN号2352-5509
DOI10.1016/j.spc.2025.06.014
产权排序1
文献子类Article
英文摘要Urban forestation projects are being initiated to mitigate environmental issues, enhance climate change adaptation, and improve urban sustainability. In this study, we used Google Earth Engine (GEE) and Carnegie-Ames-Stanford Approach model (CASA) to evaluate the biomass carbon storage in 40 case cities with large-scale forestation projects. In 2010 and 2020, closed forests in cities of the tropical zones had the highest biomass carbon storage. Each of the three forestation patterns in the case cities-afforestation, reforestation and integrated (afforestation and reforestation) forestation-was orientated based on available local green space and urbanization trends. The study introduced refined carbon accumulation parameters based on climate zones and tree crown cover, generating a high-resolution spatial map of annual biomass carbon accumulation. From 2010 to 2020, the annual biomass carbon accumulation for urban forests (UFs) was 5.84 x 107tC yr-1, equivalent to 0.58 tC ha-1 yr-1. The results can be used to assess the role of UFs in the carbon balance and mitigation of urban climate change. It can also provide guidance to urban planners in prioritizing the expansion of forestation areas and tree canopy cover for sustainable urban development, in accordance with climate and urban development conditions.
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WOS关键词NET PRIMARY PRODUCTION ; GREEN-SPACE ; CITIES ; TREES ; SEQUESTRATION ; JUSTICE ; STORAGE ; CLIMATE ; HEALTH
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001534880800001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/215363]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Fan, Zhang
作者单位1.Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China;
2.Chinese Acad Sci, Key Lab Ecohydrol Inland River Basin, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China
3.China Univ Geosci, Sch Land Sci & Technol, Beijing 100083, Peoples R China;
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
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GB/T 7714
Fang, Wen,Fan, Zhang,Cai, Ying,et al. A remote sensing-based assessment of biomass carbon global temporal trends in urban forests[J]. SUSTAINABLE PRODUCTION AND CONSUMPTION,2025,58:267-276.
APA Fang, Wen,Fan, Zhang,Cai, Ying,Wang, Yuyao,Bai, Yuping,&Feng, Qi.(2025).A remote sensing-based assessment of biomass carbon global temporal trends in urban forests.SUSTAINABLE PRODUCTION AND CONSUMPTION,58,267-276.
MLA Fang, Wen,et al."A remote sensing-based assessment of biomass carbon global temporal trends in urban forests".SUSTAINABLE PRODUCTION AND CONSUMPTION 58(2025):267-276.

入库方式: OAI收割

来源:地理科学与资源研究所

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