ORIGINAL RESEARCH
Spatial Land Use Optimization Using the CLUE-S
Model: a Case Study in the Keerqinzuoyihou
Banner, China
More details
Hide details
1
College of Geographical Science Inner Mongolia Normal University Hohhot, China
2
Inner Mongolia third geology and mineral Exploration and development co., LTD Hohhot, China
Submission date: 2022-02-25
Final revision date: 2022-07-04
Acceptance date: 2022-07-05
Online publication date: 2022-10-03
Publication date: 2022-12-08
Corresponding author
Mingkai Yu
Inner Mongolia third geology and mineral Exploration and development co., LTD. Hohhot, China
Pol. J. Environ. Stud. 2022;31(6):5963-5974
KEYWORDS
TOPICS
ABSTRACT
Structural contradictions among cities, agriculture, animal husbandry, and ecosystems in agriculture/
pastoral zones have become increasingly prominent. This study analyzed land use change for a typical
farming-pastoral interlacing area in the Keerqinzuoyihou Banner, China, using land use status data
from 2009 to 2017. The drivers of land use changes were determined using logistic regression analysis.
The Conversion of Land Use and its Effects at Small Region Extent (CLUE-S) model simulated four
scenarios (i.e., natural evolution, ecological, economic, and social benefits maximization), and there
were three key findings. First, land use structure mainly consisted of cropland, forest, and grassland;
these accounted for nearly 90% of the total land area. There was a rapid increase in cultivated and
built-up areas from 2009 to 2017. Second, the Kappa coefficient of the CLUE-S simulated results and
actual land use was 0.936, indicating high model accuracy and applicability for simulating spatial land
use distribution in the study area. Third, under the natural evolution scenario, forest, grassland, water
bodies, sandy land, and unused land decreased from 2017 to 2025, whereas cropland and built-up land
increased. This provides a reference to guide government land use planning and measures to improve
land use efficiency and optimize the industrial structure.