Change of the spatial and temporal pattern of ecological vulnerability: A case study on Cheng-Yu urban agglomeration, Southwest China

被引:21
|
作者
Jiang, Bohan [1 ,2 ,3 ]
Chen, Wei [1 ,2 ,3 ]
Dai, Xiaoai [4 ]
Xu, Min [5 ]
Liu, Lanfa [6 ,7 ]
Sakai, Tetsuro [8 ]
Li, Siliang [1 ,2 ,3 ]
机构
[1] Tianjin Univ, Inst Surface Earth Syst Sci, Sch Earth Syst Sci, Tianjin 300072, Peoples R China
[2] Haihe Lab Sustainable Chem Transformat, Tianjin 300192, Peoples R China
[3] Tianjin Bohai Rim Coastal Earth Crit Zone Natl Obs, Tianjin 300072, Peoples R China
[4] Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China
[5] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[6] Cent China Normal Univ, Hubei Prov Key Lab Geog Proc Anal & Simulat, Wuhan 430079, Peoples R China
[7] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China
[8] Kyoto Univ, Grad Sch Informat, Dept Social Informat, Biosphere Informat Lab, Kyoto 6068501, Japan
基金
中国国家自然科学基金;
关键词
Ecological vulnerability; SRP model; AHP-Entropy weighting model; Cheng-Yu urban agglomeration; ECO-ENVIRONMENTAL VULNERABILITY; INDEXES; REGION;
D O I
10.1016/j.ecolind.2023.110161
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
China's urban economy has developed rapidly over the decades, and the Cheng-Yu urban agglomeration has become one of China's four typical urban agglomerations, with a large population and a high level of economic development. However, the conflict between humans and the environment is becoming increasingly prominent together with economic development. In order to protect the ecological environment in urban areas, thus scientific understanding and assessment of ecological vulnerability are beneficial to establishing regional conservation measures, and serve as a key means to maintain environmental health. Based on the "SensitivityResilience-Pressure" (SRP) model, this study considered remote sensing, geographic and statistical data to construct an evaluation system for regional ecological vulnerability. In addition, the coupled AHP (Analytic hierarchy process)-Entropy weighting model was proposed to obtain the weight of each evaluation indicator and analyze the spatio-temporal distribution characteristics of the ecological vulnerability of the study area during 2000-2020. The changes and the divergence pattern were depicted by the transfer matrix, dynamic degree and spatial auto-correlation. The results indicated that the ecological vulnerability of Cheng-Yu urban agglomeration is mainly mild and moderate, with an overall high distribution in Chongqing and Chengdu, while low in the central and north zone (e.g., Ziyang, Mianyang). It is consistent with the distribution of H-H (High-High) and LL (Low-Low) clusters, respectively, having a significant positive spatial correlation. In particular, the severely vulnerable area increased from 7059 km2 in 2000 to 23553 km2 in 2020, with an increased rate of 233.66 %. Combining the transfer matrix and dynamic degree, it was found that the ecological environment underwent a rapid deterioration followed by a slow recovery. This study provides a scientific reference for the ecological policy making which serves sustainable urban development.
引用
收藏
页数:13
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