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Study on Spatiotemporal Evolution and Driving Forces of Habitat Quality in the Basin along the Yangtze River in Anhui Province Based on InVEST Model

Yong Cao, Cheng Wang (), Yue Su, Houlang Duan, Xumei Wu, Rui Lu, Qiang Su, Yutong Wu and Zhaojun Chu
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Yong Cao: School of Economics and Management, Anhui Agricultural University, Hefei 230036, China
Cheng Wang: School of Economics and Management, Anhui Agricultural University, Hefei 230036, China
Yue Su: School of Economics and Management, Anhui Agricultural University, Hefei 230036, China
Houlang Duan: Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Xumei Wu: School of Economics and Management, Anhui Agricultural University, Hefei 230036, China
Rui Lu: School of Economics and Management, Anhui Agricultural University, Hefei 230036, China
Qiang Su: School of Economics and Management, Anhui Agricultural University, Hefei 230036, China
Yutong Wu: School of Economics and Management, Anhui Agricultural University, Hefei 230036, China
Zhaojun Chu: School of Economics and Management, Anhui Agricultural University, Hefei 230036, China

Land, 2023, vol. 12, issue 5, 1-18

Abstract: The basin along the Yangtze River in Anhui Province is an important ecological protective screen in the Yangtze River Delta Economic Belt, with a large number of wetlands, lakes, and nature reserves in the basin. The effect of the rapid development of regional urbanization on the ecological environment quality has become an important threat source that restricts ecosystem function and biodiversity protection in the basin. Therefore, this study used InVEST model to analyze the spatial and temporal evolution of habitat quality based on remote sensing image data from 1990, 2000, 2010, and 2020 in the basin along the Yangtze River in Anhui Province and revealed the spatial evolution trend of habitat quality degradation by using hot and cold spot analysis methods. The geographical detector model was used to discuss the main driving factors of habitat quality change. The study results showed that a trend of increase and decrease of construction land and paddy land in the basin from 1990 to 2020 was the opposite, that is, the area of construction land increased, and the area of paddy land decreased. Especially, the area of construction land increased from 390.18 km 2 in 1990 to 1616.34 km 2 in 2020. The area of increase and decrease of other land types remained around 1% to 2%. During the period from 2000 to 2020, Construction land was mainly transferred in from paddy land, accounting for over 60% of the area transferred in, which indicated the continuous increase of human activity intensity in the study area. From 1990 to 2020, the areas with a significant decline in habitat quality in the basin were mainly concentrated along the Yangtze River and in the northern part of the Chaohu Lake. The area proportion with the lowest grade of habitat quality showed a trend of increasing year by year, that is, the area proportion increased from 4.85% in 1990 to 8.47% in 2020. The hot spots of habitat quality degradation were concentrated in Hefei and its surrounding areas, while the cold spots of the degradation were mainly concentrated in the southern and western mountainous areas. Land use type was the main driving factor affecting habitat quality, and the interaction between land use and per capita GDP was the main driving factor for changes in habitat quality. The study results had important theoretical and practical value for the ecological environment protection and harmonious development of the relationship between humans and nature in the basin along the Yangtze River in Anhui Province.

Keywords: basin; habitat quality; InVEST model; hot and cold spot analysis; geographical detector (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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