Literature DB >> 33556701

Spatial optimization of urban land and cropland based on land production capacity to balance cropland protection and ecological conservation.

Liye Wang1, Weiwei Zheng2, Lanping Tang3, Siyu Zhang3, Yaolin Liu4, Xinli Ke5.   

Abstract

Cropland protection strategies have provided a strong contribution to limit cropland transformation worldwide. However, it negatively affects ecological land (e.g., forest, grassland, and wetland). Identifying a win-win approach for cropland protection and ecological conservation is important. Land use optimization plays a vital role in solving conflicts among land uses. Thus, in this research, taking China (mainland) as the study area, we optimized the spatial distribution of urban land and cropland to balance the requirement of cropland protection strategies and their negative effects on ecological land according to the spatial heterogeneity of land agricultural production capacity by using the LAND System Cellular Automata model for Potential Effects (LANDSCAPE). Specifically, we developed three optimization scenarios from compensational, occupancy, and occupancy and compensational sectors. We also developed one non-optimization scenario to remain comparable. Results show that compared with the non-optimization scenario, the reduced loss of ecological land in compensational, occupancy, and occupancy and compensational optimization scenario is 7180, 247, and 7277 km2, respectively. Our research indicates that we should prioritize the quality of compensated cropland when developing cropland protection strategies and planning, considering the low efficiency of the occupancy optimization and the cost of policymaking and implementing.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Keywords:  Agricultural production capacity; Cropland optimization; Ecological land; LANDSCAPE model; Spatial optimal allocation

Year:  2021        PMID: 33556701     DOI: 10.1016/j.jenvman.2021.112054

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


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