Optimization of ecological land use layout based on multimodel coupling
Document Type
Article
Publication Date
3-1-2023
Abstract
Rapid urbanization is intensifying land use transitions in China by shrinking cropland and increasing land development, exacerbating land abuse, and causing environmental degradation. There are clear needs to improve land use and address these problems; however, most previous studies focused on either structural or layout optimization. In contrast, this paper proposed a method for comprehensive optimization of land use areas, layout, and structure. This involved coupling multiobjective dynamic planning (MODP), Conversion of Land Use and its Effects at Small regional extent (CLUE-S), and minimal cumulative resistance (MCR) models. In this approach, the MODP model predicted future changes that were based on areas of current land use, and the CLUE-S model simulated various future types that were based on the analysis of geographic land use and economic data. In addition, the MODP and CLUE-S models optimized the amounts and spatial distributions of land use types, respectively. The MCR model could then partition the simulation results for ecological optimization. In this paper, an illustrative application was presented that partitioned Changchun City, Jilin Province, China into construction-prohibited, restricted construction, suitable for construction, and key construction areas (which accounted for 17.41%, 30.24%, 25.32%, and 27.04%, respectively of the total area). The optimization result met expectations and provided potentially valuable reference data for spatial land use planning and ecological protection in the focal region. The proposed method to optimize the ecological layout of land use that was based on multimodel coupling considered operability and objectivity; therefore, facilitating practical applications of the results in Changchun and the presented methodology elsewhere.
Keywords
Changchun City, Conversion of Land Use and its Effects at Small regional extent model, Minimal cumulative resistance model
Divisions
BuiltEnvironment
Funders
Science and Technology Development Plan Project of Jilin Province [Grant No: 20210203010SF],Science and Technology Strategy and Planning Research of Jilin Science and Technology Department [Grant No: 20200101119FG],National Natural Science Foundation of China [Grant No: 42177447]
Publication Title
Journal of Urban Planning and Development
Volume
149
Issue
1
Publisher
ASCE-AMER Soc Civil Engineers
Publisher Location
1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA