Optimization of Land Use Structure Based on the Coupling of GMOP and PLUS Models: A Case Study of Lvliang City, China

Zhen Wang, Anya Zhong and Quanzhi Li ()
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Zhen Wang: School of Geographical Sciences and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
Anya Zhong: School of Geographical Sciences and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
Quanzhi Li: School of Geographical Sciences and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China

Land, 2024, vol. 13, issue 8, 1-19

Abstract: Reasonable land use planning and management efficiently allocates land resources, promotes socio-economic development, protects the ecological environment, and fosters sustainable development. It is a crucial foundation for achieving harmonious coexistence between humans and nature. Optimizing land use is key to land use planning and management. Four scenarios are established: an economic development scenario (EDS), an ecological protection scenario (EPS), a natural development scenario (NDS), and a coordinated development scenario (CDS). This study simulates land use patterns under these scenarios through the coupling of the GMOP and PLUS models. It analyzes the land use efficiency transformation index, landscape ecological index, comprehensive land use benefits, and ecosystem service value (ESV) for each pattern. The optimal land use pattern is determined by balancing these factors. The results indicated that under the CDS, the areas of wasteland, grassland, forest land, water bodies, construction land, and unused land in Lvliang City were 6724.29 km 2 , 6664.74 km 2 , 6581.84 km 2 , 126.94 km 2 , 1017.33 km 2 , and 0.42 km 2 , respectively. This represented the optimal land use plan for Lvliang City. The plan minimized human interference with the landscape pattern, achieved the highest land use efficiency transformation index, and reached a reasonable balance between land use benefits and ESV. The research findings provide valuable insights and decision support for regional land use planning, territorial space planning, and related policy formulation.

Keywords: land use optimization; MOP model; PLUS models; ecosystem service values; Lvliang city (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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