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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
Ecological Indicators ( IF 7.0 ) Pub Date : 2021-02-15 , DOI: 10.1016/j.ecolind.2021.107464
Xiaojing Hu , Chuanming Ma , Peng Huang , Xu Guo

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.



中文翻译:

基于AHP-PSR方法的生态脆弱性评估及其生态保护的单参数敏感性和空间自相关分析-以潍坊市为例

随着社会的不断发展,人与自然之间的矛盾日益突出,生态脆弱性评估是缓解这一矛盾的有效手段。在这项研究中,AHP-PSR(层次分析法-新闻状态响应)模型用于评估潍坊市的生态脆弱性。使用PSR模型选择参数,使用层次分析法确定参数权重,使用GIS评估生态脆弱性。根据生态脆弱性评估的结果,固有的生态脆弱性评估,进行了单参数敏感性分析和空间自相关分析,为该地区的生态发展和保护提供了具体建议,为生态脆弱性研究提供了新思路。结果表明,生态脆弱性由低到高,分别为44.1%,44.3%,9.7%,0.8%和1.1%。内在生态脆弱性从低到高的范围分别为27.2%,38.2%,18.0%,6.8%和9.8%。生态脆弱性评估与内在生态脆弱性评估结果之间的差异,表明了人类社会在改变固有自然生态脆弱性方面的作用。人类可以通过积极的活动来改善原始的高度脆弱的生态环境。单参数灵敏度分析支持此视图。高生态脆弱区和高生态脆弱区应禁止一切通过积极的人类活动破坏生态环境和改善脆弱生态环境的行为。空间自相关性较高的地区主要包括寿光县的北部和东南部,安丘县的东北部和南部,方子区,汉庭区,渭城区,奎文区,临qu县,青州县,竹城县和高密县。在生态治理的情况下,可以优先考虑这些领域。该研究可为潍坊市生态建设和保护提供科学依据。单参数敏感性分析和空间自相关分析可以指导生态脆弱区的管理。

更新日期:2021-02-15
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