Assessing ecological vulnerability and resilience-sensitivity under rapid urbanization in China's Jiangsu province

被引:6
|
作者
Chen, Minkun [1 ,2 ]
Xu, Xibao [1 ]
Tan, Yan [3 ]
Lin, Yangyan [1 ,2 ]
机构
[1] Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Lake & Watershed Sci Water Secur, Nanjing 211135, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Univ Adelaide, Dept Geog Environm & Populat, Adelaide, 5000, Australia
基金
澳大利亚研究理事会;
关键词
Ecological assessment; Ecological vulnerability; Land use; Regional development; Urbanization; China; DYNAMICS; PROGRESS; AREAS;
D O I
10.1016/j.ecolind.2024.112607
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Ecosystems are vulnerable to accelerated climate change, population pressure, and urbanization, so ecological vulnerability assessments and impact analyses are essential if regional development is to be managed sustainably. This study develops a novel assessment framework based on resilience-sensitivity. Various techniques-including the landscape index, the ecological elasticity limit model, and the soil erosion equation-are incorporated to examine spatiotemporal variation characteristics across diverse ecological systems of China's Jiangsu province through the decade 2010-2020, to reveal mechanisms by which various factors influence vulnerability. We arrived at a stable average yearly ecological vulnerability index value of 0.56-0.57, and found high vulnerability concentrated in cities and townships, areas along the Yangtze River, and the province's northern coast. Results also show that vulnerability is affected more by ecological sensitivity than by ecological resilience. Stepping up from one ecological sensitivity class to another has the greatest impact on the probability of an upward step in ecological vulnerability class, accounting for 16.2% of the total area undergoing such a change. Urbanization rates and differences in human-induced landscape composition were the main factors, and their cumulative contribution to ecological vulnerability variations ranged from 59.3% to 65.8%. We found our proposed framework capable of enhancing the strength and applicability of ecological vulnerability assessments, specifically in areas with extensive river and lake networks. The framework could be used in assessments throughout China, and very likely beyond.
引用
收藏
页数:13
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