ORIGINAL RESEARCH
Spatiotemporal Variations of Land Use
and Landscape Ecological Risk in
a Resource-Based City, from Rapid Development
to Recession
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1
School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, P.R. China
2
School of Architecture and Design, China University of Mining and Technology, Xuzhou, P.R. China
Submission date: 2018-10-27
Final revision date: 2019-01-08
Acceptance date: 2019-01-12
Online publication date: 2019-08-28
Publication date: 2019-10-23
Corresponding author
Jiang Chang
School of Mechanics and Civil Engineering, China University of Mining and Technology, China
Pol. J. Environ. Stud. 2020;29(1):475-490
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ABSTRACT
The ecological environment of resource-based cities is threatened by multiple ecological risks.
The main objective of this study is to investigate the dynamics of land use and landscape ecological
risk in resource-based cities. Huaibei, a typical resource-based city in China, was taken as a case
study. By using the Markov model and landscape metrics, this study first analysed the land use changes
in 1989, 2002 and 2016. Then an assessment model was developed to examine the ecological risk caused
by the land use changes. Additionally, a spatial autocorrelation analysis was adopted to reflect the spatial
heterogeneity of the landscape ecological risk. The results showed that urbanization has a greater impact
on land use than the mining activity in Huaibei. The level of landscape ecological risk showed a tendency
to initially increase and then decrease. In 1989 and 2002, the extremely high and high-risk regions were
concentrated in the northern mining area, but these regions were reduced and scattered throughout
the northern and middle areas of Huaibei in 2016. The area of medium-risk regions continuously
increased throughout the study period. The spatial autocorrelation of the landscape ecological risk was
positive and was weakened in 2016. The results suggest that the pattern of land use and the landscape
ecological risk in resource-based cities showed an obvious spatiotemporal variation. Understanding the
phase characteristics is necessary for ecological restoration.