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Spatiotemporal changes in ecological network resilience in the Shandong Peninsula urban agglomeration

弹性(材料科学) 城市化 地理 环境资源管理 生态系统 航程(航空) 生态学 功能(生物学) 环境科学 计算机科学 工程类 物理 进化生物学 生物 航空航天工程 热力学
作者
Longyang Huang,Jing Wang,Hongguang Cheng
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:339: 130681-130681 被引量:96
标识
DOI:10.1016/j.jclepro.2022.130681
摘要

Ecological network (EN) resilience is important for the integrity and connectivity of ecosystems. However, most of the current studies have conducted resilience assessment studies on abstract complex ENs composed of points and lines, ignoring the fact that ENs are landscape entities with considerable spatial range and landscape characteristics in ecosystems. In this study, taking the Shandong Peninsula urban agglomeration as an example, we assessed network resilience based on identifying the spatial range of ENs in 2000, 2010 and 2018. We constructed a new evaluation framework of EN resilience from overall structure, component quality and network function and analyzed the spatiotemporal changes in EN resilience. The results show that (1) from 2000 to 2018, the spatial range of the ENs shrunk 14.3%. (2) The overall structure of ENs was damaged, the component quality of ENs decreased, and the network function of ENs decreased, leading to a significant decrease of 16.8% in EN resilience. (3) The results of Spearman's correlation coefficient and cubic model show that the decline in network resilience has a good temporal correlation and spatial fitting degree with the changes in urbanization indicators. Based on the results, this study proposed improving EN resilience through measures such as network structure optimization, ecological protection and restoration for key areas. This study has improved the identification method of EN spatial ranges, adapted and updated the assessment method and framework of EN resilience, enriched the methods and theories of EN identification and assessment, and provided guidance for enhancing ecosystem functions and achieving sustainable management of urban agglomerations. • We constructed a “structure-quality-function” assessment framework to quantify the EN resilience in urban agglomerations. • Structural resilience, quality resilience and functional resilience are not always convergent. • The decline in EN resilience has a good temporal correlation and spatial fitting degree with the changes of urbanization.
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