Assessing spatio-temporal characteristics and their driving factors of ecological vulnerability in the northwestern region of Liaoning Province (China)-Reference-Cited by-同舟云学术

Assessing spatio-temporal characteristics and their driving factors of ecological vulnerability in the northwestern region of Liaoning Province (China)

Published:2024-01 Issue: Volume:158 Page:111541
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Xie Wenlan^ORCID,Zhao Xuesheng,Fan Deqin,Zhang Jinyu,Wang Jinghui

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference63 articles.

1. Impact of grassland storage balance management policies on ecological vulnerability: evidence from ecological vulnerability assessments in the Selinco region of China;Bao;J. Clean. Prod.,2023

2. Spatiotemporal ecological vulnerability analysis with statistical correlation based on satellite remote sensing in Samara, Russia;Boori;J. Environ. Manage.,2021

3. Using RS/GIS for spatiotemporal ecological vulnerability analysis based on DPSIR framework in the Republic of Tatarstan, Russia;Boori;Ecol. Informatics,2022

4. Eco-System Vulnerability Evaluation of Liaoning Province;Cao,2012

5. The cross-boundary of land degradation in Mongolia and China and achieving its neutrality – challenges and opportunities;Chan;Ecol. Ind.,2023

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