Urban ecological security evaluation and spatial correlation researchbased on data analysis of 16 cities in Hubei Province of China

被引:87
作者
Ke, Xiaoling [1 ,2 ]
Wang, Xingyue [1 ,3 ]
Guo, Haixiang [1 ]
Yang, Chang [1 ]
Zhou, Qi [4 ]
Mougharbel, Amal [5 ]
机构
[1] China Univ Geosci, Sch Econ & Management, Wuhan, Peoples R China
[2] China Univ Geosci Wuhan, Resources Environm Econ Res Ctr, Wuhan, Peoples R China
[3] Wuhan Univ, Sch Civil Engn, Wuhan, Peoples R China
[4] China Univ Geosci, Sch Geog & Informat Engn, Wuhan, Peoples R China
[5] Int Technol Univ, Business Adm Dept, San Jose, CA USA
基金
中国国家自然科学基金;
关键词
Ecological security evaluation; Principal component analysis method; Gray clustering method; Spatial autocorrelation analysis; SAFETY; MODEL;
D O I
10.1016/j.jclepro.2021.127613
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As artificial ecosystems with high population concentrations, the security of urban ecosystems is more fragile than that of natural ecosystems. This paper aims to construct the methodology of an urban ecological security evaluation system. Firstly, based on the "driver-pressure-state-impact-response" (DPSIR) model, an evaluation index system of urban ecological security is established. Then gray clustering method is introduced to build an evaluation model of urban ecological security. A spatial autocorrelation analysis is also adopted to explore the spatial mechanism that affects the changes of urban ecological differences. Results indicate that the average level of ecological security in these 16 cities from 2007 to 2016 was between 0.535 and 0.647, and the southwest region is better than the northeast region. The results of the spatial analysis suggest that the surrounding areas easily affected the city's ecological security, showing a clustering effect. This study provides a theoretical reference for decision making of urban sustainable development.
引用
收藏
页数:9
相关论文
共 32 条
[1]  
Brown Lester R., 1984, BUILDING SUSTAINABLE
[2]  
Chepelenco A., 2014, GISAP EARTH SPACE SC, V116
[3]   Geophysical and social vulnerability to floods at municipal scale under climate change: The case of an inner-city suburb of Sydney [J].
El-Zein, Abbas ;
Ahmed, Tanvir ;
Tonmoy, Fahim .
ECOLOGICAL INDICATORS, 2021, 121
[4]   Evolution process and obstacle factors of ecological security in western China, a case study of Qinghai province [J].
Fan, Yupeng ;
Fang, Chuanglin .
ECOLOGICAL INDICATORS, 2020, 117
[5]  
[冯芳 Feng Fang], 2018, [冰川冻土, Journal of Glaciology and Geocryology], V40, P634
[6]   The establishment of Chinese ecological conservation redline and insights into improving international protected areas [J].
Gao, Jixi ;
Zou, Changxin ;
Zhang, Kun ;
Xu, Mengjia ;
Wang, Yan .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2020, 264
[7]   Aquatic plants-based risk model for assessment of ecological safety of rivers [J].
Hachol, Justyna ;
Bondar-Nowakowska, Elzbieta .
HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2016, 22 (04) :1065-1077
[8]  
[胡丽慧 HU Lihui], 2008, [农业环境科学学报, Journal of Agro-Environment Science], V27, P2407
[9]   Declines in global ecological security under climate change [J].
Huang, Jianping ;
Yu, Haipeng ;
Han, Dongliang ;
Zhang, Guolong ;
Wei, Yun ;
Huang, Jiping ;
An, Linli ;
Liu, Xiaoyue ;
Ren, Yu .
ECOLOGICAL INDICATORS, 2020, 117
[10]  
Huang N.Y., 2020, STAT DECIS, V36, P81