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

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 beco...

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Main Authors: Bohan Jiang, Wei Chen, Xiaoai Dai, Min Xu, Lanfa Liu, Tetsuro Sakai, Siliang Li
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Ecological Indicators
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X23003035
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author Bohan Jiang
Wei Chen
Xiaoai Dai
Min Xu
Lanfa Liu
Tetsuro Sakai
Siliang Li
author_facet Bohan Jiang
Wei Chen
Xiaoai Dai
Min Xu
Lanfa Liu
Tetsuro Sakai
Siliang Li
author_sort Bohan Jiang
collection DOAJ
description 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 “Sensitivity-Resilience-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 L-L (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.
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spelling doaj.art-349be36579a9400da7841026513b079e2023-04-05T08:06:13ZengElsevierEcological Indicators1470-160X2023-05-01149110161Change of the spatial and temporal pattern of ecological vulnerability: A case study on Cheng-Yu urban agglomeration, Southwest ChinaBohan Jiang0Wei Chen1Xiaoai Dai2Min Xu3Lanfa Liu4Tetsuro Sakai5Siliang Li6Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China; Haihe Laboratory of Sustainable Chemical Transformation, Tianjin 300192, China; Tianjin Bohai Rim Coastal Earth Critical Zone National Observation and Research Station, Tianjin 300072, ChinaInstitute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China; Haihe Laboratory of Sustainable Chemical Transformation, Tianjin 300192, China; Tianjin Bohai Rim Coastal Earth Critical Zone National Observation and Research Station, Tianjin 300072, China; Corresponding authors.College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China; Corresponding authors.State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaHubei Provincial Key Laboratory for Geographical Process Analysis and Simulation, Central China Normal University, Wuhan 430079, China; College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, ChinaBiosphere Informatics Laboratory, Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto 606-8501, JapanInstitute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China; Haihe Laboratory of Sustainable Chemical Transformation, Tianjin 300192, China; Tianjin Bohai Rim Coastal Earth Critical Zone National Observation and Research Station, Tianjin 300072, ChinaChina'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 “Sensitivity-Resilience-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 L-L (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.http://www.sciencedirect.com/science/article/pii/S1470160X23003035Ecological vulnerabilitySRP modelAHP-Entropy weighting modelCheng-Yu urban agglomeration
spellingShingle Bohan Jiang
Wei Chen
Xiaoai Dai
Min Xu
Lanfa Liu
Tetsuro Sakai
Siliang Li
Change of the spatial and temporal pattern of ecological vulnerability: A case study on Cheng-Yu urban agglomeration, Southwest China
Ecological Indicators
Ecological vulnerability
SRP model
AHP-Entropy weighting model
Cheng-Yu urban agglomeration
title Change of the spatial and temporal pattern of ecological vulnerability: A case study on Cheng-Yu urban agglomeration, Southwest China
title_full Change of the spatial and temporal pattern of ecological vulnerability: A case study on Cheng-Yu urban agglomeration, Southwest China
title_fullStr Change of the spatial and temporal pattern of ecological vulnerability: A case study on Cheng-Yu urban agglomeration, Southwest China
title_full_unstemmed Change of the spatial and temporal pattern of ecological vulnerability: A case study on Cheng-Yu urban agglomeration, Southwest China
title_short Change of the spatial and temporal pattern of ecological vulnerability: A case study on Cheng-Yu urban agglomeration, Southwest China
title_sort change of the spatial and temporal pattern of ecological vulnerability a case study on cheng yu urban agglomeration southwest china
topic Ecological vulnerability
SRP model
AHP-Entropy weighting model
Cheng-Yu urban agglomeration
url http://www.sciencedirect.com/science/article/pii/S1470160X23003035
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