title: Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model.
abstract: Understanding abandoned mine land (AML) changes during land reclamation is crucial for reusing damaged land resources and formulating sound ecological restoration policies. This study combines the linear programming (LP) model and the CLUE-S model to simulate land-use dynamics in the Mentougou District (Beijing, China) from 2007 to 2020 under three reclamation scenarios, that is, the planning scenario based on the general land-use plan in study area (scenario 1), maximal comprehensive benefits (scenario 2), and maximal ecosystem service value (scenario 3). Nine landscape-scale graph metrics were then selected to describe the landscape characteristics. The results show that the coupled model presented can simulate the dynamics of AML effectively and the spatially explicit transformations of AML were different. New cultivated land dominates in scenario 1, while construction land and forest land account for major percentages in scenarios 2 and 3, respectively. Scenario 3 has an advantage in most of the selected indices as the patches combined most closely. To conclude, reclaiming AML by transformation into more forest can reduce the variability and maintain the stability of the landscape ecological system in study area. These findings contribute to better mapping AML dynamics and providing policy support for the management of AML.
authors.affiliation: College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China. zhangliping0922@163.com.
authors.forename: Liping
authors.initials: L
authors.lastname: Zhang
authors.affiliation: College of Earth and Environmental Sciences, Anhui University of Science and Technology, Huainan 232001, China. mamin1190@126.com.
authors.forename: Shiwen
authors.initials: S
authors.lastname: Zhang
authors.affiliation: College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China. yajiehuang_cau@163.com.
authors.forename: Yajie
authors.initials: Y
authors.lastname: Huang
authors.affiliation: College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China. ciymeng@163.com.
authors.forename: Meng
authors.initials: M
authors.lastname: Cao
authors.affiliation: College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China. yfhuang@cau.edu.cn.
authors.forename: Yuanfang
authors.initials: Y
authors.lastname: Huang
authors.affiliation: College of Science, China Agricultural University, Beijing 100193, China. hongyan@cau.edu.cn.
authors.forename: Hongyan
authors.initials: H
authors.lastname: Zhang
mesh_terms: D000068476:Beijing; D002681:China; D003247:Conservation of Natural Resources; D004463:Ecology; D017753:Ecosystem; D052918:Environmental Restoration and Remediation; D065928:Forests; D008906:Mining; D008962:Models, Theoretical; D011382:Programming, Linear
keywords: CLUE-S model; abandoned mine land transformation; ecological restoration; land conservation; linear programming model; scenario simulation