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Using the Eco-Erosion Index to assess regional ecological stress due to urbanization – a case study in the Yangtze river delta urban agglomeration

Lin, Meixia; Lin, Tao; Sun, Caige; Jones, Laurence ORCID: https://orcid.org/0000-0002-4379-9006; Sui, Jinling; Zhao, Yu; Liu, Jiakun; Xing, Li; Ye, Hong; Zhang, Guoqin; Li, Xinhu. 2020 Using the Eco-Erosion Index to assess regional ecological stress due to urbanization – a case study in the Yangtze river delta urban agglomeration. Ecological Indicators, 111, 106028. 9, pp. 10.1016/j.ecolind.2019.106028

Abstract
Urban agglomeration (the spread of cities into large agglomerations) has become the main form of urbanization in China, and natural ecosystems surrounding the urban areas are becoming degraded and fragmented as a result. Although ecological indicators have been widely used to assess the regional ecological stress resulting from urbanization, few of them consider spatial adjacency relationships between urban and natural landscapes. From this perspective a novel ecological indicator, the Eco-Erosion Index (EEI), was developed and applied to assess the regional ecological stress caused by urban agglomeration development across 26 cities in the Yangtze River Delta, China (YRD). We analyzed: i) temporal change in land use and land cover (LULC) and ecosystem services value (ESV) in YRD from 1990 to 2010, ii) spatiotemporal dynamics of EEI of YRD at different scales: provincial, municipal, and 5 km-grid, iii) inter-relationships between EEI and LULC and ESV to explore its effectiveness as an indicator. The results showed that urban agglomeration in YRD has led to increasing regional ecological stress from 1990 to 2010. EEI values increased from 0.197 in 1990 to 0.321 in 2010. The closer to Shanghai City, the greater the EEI values of the cities become. EEI is highly related with LULC and ESV but integrates these two variables as it represents both the spatial occupation and landscape adjacency effects. The EEI values demonstrate some scale effects, and EEI at fine scale provides useful information to guide sustainable urban landscape management.
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526417:161013
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Lin et al. 2020_Eco-erosion index Yangtze_Ecol Indic_Post-print version.docx

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