Optimization of ecological land use layout based on multimodel coupling

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 eith...

Full description

Saved in:
Bibliographic Details
Main Authors: Li, Guanghui, Zhao, Zhibo, Wang, Lingzhi, Li, Ying, Li, Yuefen
Format: Article
Published: ASCE-AMER Soc Civil Engineers 2023
Subjects:
Online Access:http://eprints.um.edu.my/38520/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.38520
record_format eprints
spelling my.um.eprints.385202024-11-10T05:25:51Z http://eprints.um.edu.my/38520/ Optimization of ecological land use layout based on multimodel coupling Li, Guanghui Zhao, Zhibo Wang, Lingzhi Li, Ying Li, Yuefen GE Environmental Sciences 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. ASCE-AMER Soc Civil Engineers 2023-03 Article PeerReviewed Li, Guanghui and Zhao, Zhibo and Wang, Lingzhi and Li, Ying and Li, Yuefen (2023) Optimization of ecological land use layout based on multimodel coupling. Journal of Urban Planning and Development, 149 (1). ISSN 0733-9488, DOI https://doi.org/10.1061/JUPDDM.UPENG-3925 <https://doi.org/10.1061/JUPDDM.UPENG-3925>. 10.1061/JUPDDM.UPENG-3925
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic GE Environmental Sciences
spellingShingle GE Environmental Sciences
Li, Guanghui
Zhao, Zhibo
Wang, Lingzhi
Li, Ying
Li, Yuefen
Optimization of ecological land use layout based on multimodel coupling
description 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.
format Article
author Li, Guanghui
Zhao, Zhibo
Wang, Lingzhi
Li, Ying
Li, Yuefen
author_facet Li, Guanghui
Zhao, Zhibo
Wang, Lingzhi
Li, Ying
Li, Yuefen
author_sort Li, Guanghui
title Optimization of ecological land use layout based on multimodel coupling
title_short Optimization of ecological land use layout based on multimodel coupling
title_full Optimization of ecological land use layout based on multimodel coupling
title_fullStr Optimization of ecological land use layout based on multimodel coupling
title_full_unstemmed Optimization of ecological land use layout based on multimodel coupling
title_sort optimization of ecological land use layout based on multimodel coupling
publisher ASCE-AMER Soc Civil Engineers
publishDate 2023
url http://eprints.um.edu.my/38520/
_version_ 1816130401774600192
score 13.214268