Assessment of Ecological Environment Quality and Analysis of Its Driving Forces in the Dabie Mountain Area of Anhui Province Based on the Improved Remote Sensing Ecological Index

Yu Ding and Guangzhou Chen ()
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Yu Ding: School of Environmental and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China
Guangzhou Chen: School of Environmental and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China

Sustainability, 2025, vol. 17, issue 13, 1-19

Abstract: The Dabie Mountain area in Anhui Province is an essential ecological security barrier and a critical protected area in East China. It is very important to assess its ecological environment quality and identify its key driving forces. Five indicators, including Greenness, Wetness, Dryness, Heat, and Biological Richness, were used to construct an improved remote sensing ecological Index (IRSEI) to assess ecological environment quality. The weights of the five indicators were determined by coupling the analytic hierarchy process (AHP) and the entropy weight method (EWM). The optimal parameters-based geographical detector (OPGD) was used to recognize driving factors. The main conclusions were as follows: (1) the overall rank of ecological environment quality was mainly good and excellent. The ecological quality of forest land was excellent, that of farmland was good, and that of built-up areas was poor. (2) The change in ecological environment quality was mainly stable from 2000 to 2020. The ecological quality of some forests and farmlands improved, with a deteriorating trend in the built-up areas. (3) The Moran’s Index of ecological quality ranged from 0.77 to 0.85, indicating high spatial agglomeration. (4) The OPGD indicated that the DEM had the most explanatory power for ecological quality, and the interactive relationship between the DEM and population density had the most significant impact. (5) In comparison to the conventional remote sensing ecological Index (RSEI), the IRSEI exhibited higher congruence with observed circumstances and improved ecological interpretability.

Keywords: ecological environment quality; improved remote sensing ecological index; optimal parameters-based geographical detector; analytic hierarchy process; entropy weight method; driving factors; the Dabie Mountain area in Anhui Province (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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