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Abstract
Regional landscape ecological risk (LER) assessment is of great significance for coordinating the relationship between land use and ecological environment, and for promoting the rational allocation of resources, and it is the basis and guarantee for achieving sustainable development. By assessing the landscape ecological risk of the Huaihe River ecological and economic zone, it can promote the development of ecological risk assessment theory, provide a scientific basis for the formulation of ecological civilization construction planning and policies, and help to strengthen environmental monitoring, planning and management, and promote the construction of ecological civilization. Based on the remote sensing image data of land use from 1985 to 2020, the spatiotemporal evolution characteristics of land use and LER in the Anhui section of the Huaihe River Ecological and Economic Belt in China were explored. The results showed that: (1) The construction land showed an increasing trend, with an increased area of 4753.35 km2, whereas the cultivated land showed a negative growth trend, with a reduced area of 4487.58 km2. (2) During the past 35 years, the ecological risks in the research area showed a decreasing trend as a whole, with medium-low and medium-risk areas ranking as the main; medium-high and high-risk areas are mainly distributed on both sides of the Huaihe River and in the northern-central part of Suzhou City. (3) Moran’s I values of LER in each period were showing significant spatial autocorrelation and tending to converge spatially. In the future, the ecological security pattern should be optimized for local high-risk deterioration areas.
Author contributions
Funding acquisition, Xiamei Yao; Manuscript writing, Q.Z. and Xiamei Yao; Content review, C. O. and Xiamei Yao; Data analysis, Q.Z. and Y. C.; Result interpretation, Q.Z. and Y. C.; Data generation, Q.Z. and Y. C.; Sample collection, T. Y.; Data collection, Q.Z., Y.S. and H.Q.; Language editing, Q.Z., Y.S. All authors have read and agreed to the published version of the manuscript.
Disclosure statement
The authors declare no conflict of interest. All the data sources used are mentioned in Section “Data source and processing” (or doi: 10.5194/essd-13-3907-2021). If you need other relevant data, please contact the authors.