Ecological security assessment at different spatial scales in central Yunnan Province, China.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 13 08 2021
accepted: 07 06 2022
entrez: 28 6 2022
pubmed: 29 6 2022
medline: 1 7 2022
Statut: epublish

Résumé

Healthy ecosystems are the basis of social and economic development. It is of great significance to conduct ecological security assessments in rapidly urbanization areas. Based on the driving forces, pressure, state, impact, and response (DPSIR) model, five years (1995, 2000, 2005, 2010 and 2015) of remote sensing images, social and economic statistics, and field survey data were used to establish an ecological security assessment index system. The ecological security assessment of central Yunnan Province (CYP) urban agglomeration was conducted at the 1 km × 1 km pixel scale and at the county scale based on the multilevel weighted comprehensive index method. The results showed that: (1) With 2005 as the turning point, the ecological security situation in CYP first decreased and then increased. (2) The ecological security at the county scale was mainly categorized as unsafe. At the pixel scale, ecologically unsafe and relatively unsafe areas were mainly distributed in central, northern, and western CYP. (3) The ecological security deterioration and strengthened spatial distribution differences were caused by habitat fragmentation, different physical geographical conditions, and population agglomeration. These results can provide a basis for the coordination and sustainability of economic development and environmental protection in urban agglomerations with rapid urbanization.

Identifiants

pubmed: 35763524
doi: 10.1371/journal.pone.0270267
pii: PONE-D-21-25314
pmc: PMC9239483
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0270267

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Yun Chen (Y)

Faculty of Geography, Yunnan Normal University, Kunming, China.
Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China.
Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming, China.
Remote Sensing Research Laboratory, Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming, China.

Jinliang Wang (J)

Faculty of Geography, Yunnan Normal University, Kunming, China.
Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming, China.
Remote Sensing Research Laboratory, Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming, China.

Eldar Kurbanov (E)

Center for Sustainable Forest Management and Remote Sensing, Volga State University of Technology, Yoshkar-Ola, Russia.

Abraham Thomas (A)

Council for Geoscience, Pretoria, South Africa.

Jinming Sha (J)

College of Geographical Science, Fujian Normal University, Fuzhou, China.

Yuanmei Jiao (Y)

Faculty of Geography, Yunnan Normal University, Kunming, China.
Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming, China.
Remote Sensing Research Laboratory, Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming, China.

Jingchun Zhou (J)

Faculty of Geography, Yunnan Normal University, Kunming, China.
Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming, China.
Remote Sensing Research Laboratory, Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming, China.

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