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Spatio-temporal variations of habitat quality in the Greater Bay Area around Hangzhou Bay based on LUCC and simulation

Yu He , Wanzheng Ai

Abstract

Habitat quality (HQ) is crucial for achieving sustainable regional development, especially in rapidly developing regions such as the Greater Bay Area around Hangzhou Bay. This study analyzes HQ based on Land Use-Cover Change (LUCC) data from 2010 to 2020 using the InVEST model and spatial autocorrelation analysis. The research predicts land use data for 2030 using the PLUS model and assesses variations in land use and HQ from 2020 to 2030. The results show a continuous decline in HQ, primarily due to construction land expansion at the expense of cropland and water areas. The findings emphasize the need to select appropriate development scenarios and coordinate city development to address declining HQ and promote sustainable economic growth in the region.

MF23242  Accepted 17 April 2024

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