Analysis of the driving forces of the landscape pattern evolution in a coal-mining subsided area

• Main Authors: CHANG Xiao-yan, LI Xin-ju, DIAO Hai-ting
• Format: Article
• Language: zho
• Published: Agro-Environmental Protection Institute, Ministry of Agriculture 2020-03-01
• Series: Journal of Agricultural Resources and Environment
• Subjects: coal-mining subsided area, land use change, driving factors, logistic regression model, clue-s model
• Online Access: http://www.aed.org.cn/nyzyyhjxb/html/2020/2/20200203.htm

To explore the driving mechanism of landscape pattern evolution in a coal mining subsided area, this study considered 11 towns with severe ground subsidence in the Weishan County, Shandong Province as the research area. Based on the interpretation of remote sensing images, the characteristics of land use change in the study area from 2000 to 2016 were analyzed. On this basis, environmental, socioeconomic, and other driving factors were selected. The CLUE-S model and binary logistic stepwise regression model were used to study the correlation and driving mechanisms between land use types and the driving factors. The conclusions were as follows. The cultivated land area showed a decreasing, increasing, and decreasing trend. Urban and rural construction land and subsided seeper area increased the most from 2000 to 2005. Among the driving factors for the change on cultivated land, urban and rural construction land, and water areas, the distance from residential areas was the main driving factor. Among the driving factors affecting subsided seeper areas, the distance from industrial and mining areas was the main one. This research provides a theoretical basis for the local government to scientifically formulate land consolidation and protection policies.