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A reliable ecological vulnerability approach based on the construction of optimal evaluation systems and evolutionary tracking models

脆弱性(计算) 脆弱性指数 环境资源管理 地理 脆弱性评估 生态学 比例(比率) 环境科学 计算机科学 地图学 气候变化 生物 心理学 计算机安全 心理弹性 心理治疗师
作者
Dan He,Kang Hou,Xu Xiang Li,Si Wu,Xia Li
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:419: 138246-138246 被引量:18
标识
DOI:10.1016/j.jclepro.2023.138246
摘要

Ecological vulnerability assessment is an effective means to monitor ecosystem stability, and its application has been an emerging hotspot. Although some progress has been made in the study of ecological vulnerability, there are few studies on the accuracy of the evaluation index and the tracking of the evolution process. Therefore, this study discussed the impact of the improved ecological vulnerability assessment index system and spatial scale on the ecological vulnerability of the target area, and conducted a confirmatory analysis of it. Taking Weinan City, a typical city in the Yellow River Basin as the research object, the evolution tracking model of ecological vulnerability was established, and the internal relationship between the dimensions of impact factors and ecological vulnerability index (EVI) was analyzed. The results showed that (1) the correlation between EVI and NDVI of the optimized index system (e) (ISe) was −0.793, and the R-value of linear fitting was 0.63, which indicated that the optimized evaluation results were closer to the actual situation. (2) From 1999 to 2019, the overall ecological condition of Weinan was positive, with the distribution characteristics of low EVI in northern and southern mountain cities and high EVI in central plain cities. (3) Hierarchical transformation of EVI in the combination area where ecological vulnerability remained stable and degraded accounted for 75.24%, indicating that the overall evolution direction of ecological vulnerability changed to a good direction. The results can provide an effective way to optimize and validate the ecological vulnerability assessment system and track the evolution of ecological vulnerability effectively.
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