Ecological vulnerability assessment based on AHP-PSR method and analysis of its single parameter sensitivity and spatial autocorrelation for ecological protection – A case of Weifang City, China. (June 2021)
- Record Type:
- Journal Article
- Title:
- Ecological vulnerability assessment based on AHP-PSR method and analysis of its single parameter sensitivity and spatial autocorrelation for ecological protection – A case of Weifang City, China. (June 2021)
- Main Title:
- Ecological vulnerability assessment based on AHP-PSR method and analysis of its single parameter sensitivity and spatial autocorrelation for ecological protection – A case of Weifang City, China
- Authors:
- Hu, Xiaojing
Ma, Chuanming
Huang, Peng
Guo, Xu - Abstract:
- Highlights: We use the AHP-PSR model to evaluate the ecological vulnerability of Weifang City. This method uses the pressure-state-response (PSR) model to select socioeconomic and natural indicators, and uses the analytic hierarchy process (AHP) to determine the weights of these indicators. The spatial autocorrelation and single parameter sensitivity of ecological vulnerability in the study area were analyzed. This study provides reasonable advice for the ecological development of the study area. Abstract: With the continuous development of society, the contradiction between human and nature becomes increasingly prominent, and ecological vulnerability assessment is an effective tool to alleviate the contradiction. In this study, AHP-PSR (Analytic Hierarchy Process - Press-State-Response) model was used to assess the ecological vulnerability of Weifang City. PSR model was used to select parameters, AHP was used to determine the weights of parameters, and GIS was used to assess ecological vulnerability. Based on the results of ecological vulnerability assessment, the inherent ecological vulnerability assessment, single parameter sensitivity analysis and spatial autocorrelation analysis were carried out in order to provide specific suggestions for ecological development and protection in this area and provide new ideas for ecological vulnerability research. The results showed that the ecological vulnerability is from low to high, with an area of 44.1%, 44.3%, 9.7%, 0.8% andHighlights: We use the AHP-PSR model to evaluate the ecological vulnerability of Weifang City. This method uses the pressure-state-response (PSR) model to select socioeconomic and natural indicators, and uses the analytic hierarchy process (AHP) to determine the weights of these indicators. The spatial autocorrelation and single parameter sensitivity of ecological vulnerability in the study area were analyzed. This study provides reasonable advice for the ecological development of the study area. Abstract: With the continuous development of society, the contradiction between human and nature becomes increasingly prominent, and ecological vulnerability assessment is an effective tool to alleviate the contradiction. In this study, AHP-PSR (Analytic Hierarchy Process - Press-State-Response) model was used to assess the ecological vulnerability of Weifang City. PSR model was used to select parameters, AHP was used to determine the weights of parameters, and GIS was used to assess ecological vulnerability. Based on the results of ecological vulnerability assessment, the inherent ecological vulnerability assessment, single parameter sensitivity analysis and spatial autocorrelation analysis were carried out in order to provide specific suggestions for ecological development and protection in this area and provide new ideas for ecological vulnerability research. The results showed that the ecological vulnerability is from low to high, with an area of 44.1%, 44.3%, 9.7%, 0.8% and 1.1% respectively. The areas of inherent ecological vulnerability ranged from low to high are 27.2%, 38.2%, 18.0%, 6.8% and 9.8% respectively. The difference between the assessment results of ecological vulnerability and that of intrinsic ecological vulnerability, indicates the role of human society in changing the inherent natural ecological vulnerability. Human beings can improve the original highly vulnerable ecological environment through their positive activities. The single parameter sensitivity analysis supports this view. Higher and high ecological vulnerability areas should prohibit all acts that damage the ecological environment and improve the vulnerable ecological environment through positive human activities. The areas with high spatial autocorrelation mainly include the north and southeast of Shouguang County, the northeast and south of Anqiu County, Fangzi District, Hanting District, Weicheng District, Kuiwen District, Linqu County, Qingzhou County, Zhucheng County, and Gaomi County. In the case of ecological governance, priority can be given to these areas. This study can provide scientific basis for ecological construction and protection of Weifang City. Single parameter sensitivity analysis and spatial autocorrelation analysis can guide the management of ecological vulnerable areas. … (more)
- Is Part Of:
- Ecological indicators. Volume 125(2021)
- Journal:
- Ecological indicators
- Issue:
- Volume 125(2021)
- Issue Display:
- Volume 125, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 125
- Issue:
- 2021
- Issue Sort Value:
- 2021-0125-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-06
- Subjects:
- Weifang City -- Ecological vulnerability -- AHP-PSR model -- Single parameter sensitivity analysis -- Spatial autocorrelation
Environmental monitoring -- Periodicals
Environmental management -- Periodicals
Environmental impact analysis -- Periodicals
Environmental risk assessment -- Periodicals
Sustainable development -- Periodicals
333.71405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1470160X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ecolind.2021.107464 ↗
- Languages:
- English
- ISSNs:
- 1470-160X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3648.877200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23539.xml