SRP model-based assessment and analysis of ecological vulnerability in the Yangtze River economic belt within Jiangsu Province

doi:10.6046/zrzyyg.2023403

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Abstract

Socioeconomic development and intensified urbanization have influenced ecosystems essential for human survival. In particular, the ecological quality of the Yangtze River economic belt (YREB) within Jiangsu Province has been significantly challenged due to urbanization and land development, establishing ecological vulnerability assessment as a prominent focus. This study investigated the ecological vulnerability in the YREB within Jiangsu Province across four periods from 2005 to 2020, based on the sensitivity-resilience-pressure (SRP) model that involves 16 indicators in three categories: ecological resilience, pressure, and sensitivity. Using the analytic hierarchy process-selective principal component analysis (AHP-SPCA) weighting method and geodetector, this study delved into the characteristics and drivers of ecological vulnerability. The results indicate that the ecological vulnerability in the study area increased gradually from Nanjing to Nantong cities. Ecological vulnerability levels shift primarily between adjacent levels, characterized by decreased moderate/severe vulnerability and increased mild/slight/potential vulnerability. Primary drivers of ecological vulnerability include the proportion of arable land, population density, and biodiversity, with the interaction between vegetation cover and the proportion of arable land showing the highest explanatory power. Overall, the results of this study provide a significant reference for ecosystem conservation and sustainable development along the Yangtze River within Jiangsu Province.

Keywords Yangtze River economic belt (YREB) sensitivity-resilience-pressure (SRP) model geodetector ecological vulnerability driver

ZTFLH:	TP79
	X826

Issue Date: 01 July 2025

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	Yuanyuan WANG
	Xiechao ZANG
	Weiwei XU
	Changxia YANG
	Yang JIN
	Jinghua REN
	Xinxing HE

Cite this article:

Yuanyuan WANG,Xiechao ZANG,Weiwei XU, et al. SRP model-based assessment and analysis of ecological vulnerability in the Yangtze River economic belt within Jiangsu Province[J]. Remote Sensing for Natural Resources, 2025, 37(3): 170-182.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2023403 OR https://www.gtzyyg.com/EN/Y2025/V37/I3/170

Fig.1 Overview map of the study area

Tab.1 Different data types and data sources

Fig.2 Research technology roadmap

指标因子	$W 1 i$ ^①	2005年		2010年		2015年		2020年
指标因子	$W 1 i$ ^①	W₂_i	W_i	W₂_i	W_i	W₂_i	W_i	W₂_i	W_i
坡度	0.063 3	0.000 7	0.008 9	0.001 2	0.011 8	0.002 5	0.016 7	0.003 8	0.020 3
高程	0.027 3	0.000 8	0.006 4	0.001 3	0.008 0	0.002 0	0.009 8	0.003 5	0.012 8
地形起伏	0.010 5	0.000 2	0.002 1	0.000 4	0.002 8	0.000 9	0.004 0	0.001 3	0.004 7
地形湿度	0.029 9	0.007 9	0.020 6	0.008 3	0.021 0	0.053 4	0.052 9	0.059 7	0.055 0
年均降雨	0.099 6	0.147 1	0.161 6	0.129 0	0.151 3	0.123 4	0.146 7	0.116 8	0.140 5
年均气温	0.033 2	0.114 8	0.082 4	0.126 1	0.086 4	0.111 2	0.080 3	0.075 6	0.065 2
土壤侵蚀	0.196 2	0.000 2	0.008 4	0.000 4	0.011 2	0.000 1	0.006 6	0.000 2	0.007 9
植被覆盖	0.098 1	0.164 9	0.169 8	0.159 5	0.167 0	0.164 9	0.168 2	0.162 0	0.164 1
水系密度	0.041 9	0.005 3	0.019 9	0.004 4	0.018 1	0.020 7	0.038 9	0.018 8	0.036 5
生物丰度	0.029 7	0.029 9	0.039 8	0.044 4	0.048 5	0.023 4	0.034 9	0.093 1	0.068 5
矿点密度	0.053 9	0.000 1	0.003 1	0.000 2	0.004 0	0.000 1	0.003 5	0.000 3	0.004 9
景观多样	0.016 4	0.161 2	0.068 6	0.164 0	0.069 2	0.165 6	0.068 9	0.162 8	0.067 3
人口密度	0.058 8	0.101 4	0.103 1	0.122 0	0.113 1	0.114 9	0.108 7	0.104 9	0.102 3
耕地占比	0.092 5	0.164 9	0.164 9	0.165 2	0.165 1	0.165 0	0.163 4	0.162 0	0.159 4
土壤干度	0.073 7	0.006 0	0.027 9	0.005 6	0.027 1	0.001 8	0.015 5	0.008 2	0.032 0
GDP	0.075 0	0.094 6	0.112 5	0.068 0	0.095 4	0.050 1	0.081 0	0.027 0	0.058 6
总计	1.000 0	1.000 0	1.000 0	1.000 0	1.000 0	1.000 0	1.000 0	1.000 0	1.000 0

Tab.2 Weights of evaluation indicators for 2005, 2010, 2015 and 2020

Tab.3 Table of values for the classification of ecological vulnerability types

Tab.4 Classification of interaction detector interaction types

Fig.3-1 Distribution of ecological resilience in the study area

Fig.3-2 Distribution of ecological resilience in the study area

Fig.4 Distribution of ecological stress degree in the study area

Fig.5 Distribution of ecological sensitivity in the study area

Fig.6 Distribution of ecological vulnerability in the study area

Fig.7 Statistics of the area and percentage of different vulnerabilities

Fig.8 Transfer of ecological vulnerability classes along the Yangtze River in Jiangsu Province from 2005 to 2010

Fig.9 The q-value of driver factors on ecological vulnerability

Fig.10 Interaction diagram of drivers of ecological vulnerability

Fig.11 Comparison of vulnerability of a quarrying site before (left) and after (right) ecological restoration

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