Rapid urbanization and meteorological changes are reshaping the urban vegetation pattern in urban core area: A national 315-city study in China.

China Human activities Remote sensing Urban meteorology Urban vegetation

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
15 Dec 2023
Historique:
received: 15 06 2023
revised: 28 08 2023
accepted: 20 09 2023
medline: 6 11 2023
pubmed: 25 9 2023
entrez: 24 9 2023
Statut: ppublish

Résumé

Urban vegetation takes on the responsibility of improving the urban environment and human wellbeing. However, the changing pattern and its driving mechanism are still not well understood at the national scale, especially in China under nearly 20 years-long rapid urbanization. In this study, for urban core area in 315 cities, over 18,000 high-resolution remote sensing images across 18 years were used to detect the spatiotemporal changes of urban vegetation and furtherly explore the interaction and independence of rapid urbanization and meteorological change. We found that, urban vegetation coverage decreased from 12.23 % to 5.91 % (-0.35 % per year) in 2003 to 2020. Urban vegetation per capita presented a steeper decline by 68 % (-0.51 m

Identifiants

pubmed: 37742974
pii: S0048-9697(23)05896-5
doi: 10.1016/j.scitotenv.2023.167269
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

167269

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Peng Zhang (P)

Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; University of Chinese Academy of Sciences, Beijing 100049, China.

Yulin Dong (Y)

Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

Zhibin Ren (Z)

Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: renzhibin1985@163.com.

Guodong Wang (G)

Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; University of Chinese Academy of Sciences, Beijing 100049, China.

Yujie Guo (Y)

Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; University of Chinese Academy of Sciences, Beijing 100049, China.

Chengcong Wang (C)

Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; University of Chinese Academy of Sciences, Beijing 100049, China.

Zijun Ma (Z)

Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; University of Chinese Academy of Sciences, Beijing 100049, China.

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Classifications MeSH