4.7 Article

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

Journal

JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 285, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2021.112054

Keywords

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

Funding

  1. National Natural Science Foundation of China [41971240, 41371113, 41771432]
  2. Chinese National Funding of Social Sciences [13CGL092]

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Cropland protection strategies have helped limit cropland transformation globally, but they can negatively impact ecological land. It is crucial to find a win-win approach for both cropland protection and ecological conservation. Land use optimization is key to resolving conflicts between different land uses.
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 km(2), 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.

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