ORIGINAL RESEARCH
Layout Optimization and Division of Plateau
Mountain Arable Land-Based on Cultivated
Land Quality Evaluation and Local
Spatial Autocorrelation
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1
Faculty of Geography, Yunnan Normal University, Kunming, China
2
Engineering Research Center of the Ministry of Education on Geography Information Technology
of Western Resource Environment, Kunming, China
3
Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, China
4
Faculty of Geomatics Engineering,Kunming Metallurgy College, Kunming, China
Submission date: 2022-02-17
Final revision date: 2022-05-29
Acceptance date: 2022-06-03
Online publication date: 2022-09-20
Publication date: 2022-11-03
Corresponding author
Chen Guoping
Faculty of Land Resource Engineering,Faculty of Geomatics Engineering, Kunming University of Science and Technology,Kunming Metallurgy College, China
Pol. J. Environ. Stud. 2022;31(6):5083-5094
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ABSTRACT
Mountainous area account for 94% in Yunnan, China. Among them, cultivated land only 16.20%.
In order to classify and protect cultivated land contiguous, take Huaping , a typical mountainous area
as an example, and integrates the entropy weight method, TOPSIS (Technique for Order Preference
by Similarity to Ideal Solution) and spatial autocorrelation method to construct a zoning method
based on CLQE (Cultivated Land Quality Evaluation). The results showed that the CLQE was divided
into five grades. Class 1 and Class 2 was higher, respectively accounting for 24.98% and 29.98%
of the total cultivated land area, Class 3 and Class 4 was accounting for 23.17% and 13.76%, Class 5
was the worst, accounting for 8.11%. In terms of layout, it can be divided into 4 areas, key protected
areas are distributed in Class 1 and 2, accounting for 52.52% of the total, suitable adjustment areas are
distributed in Class 1, 2 and 3, accounting for 9.02%, key control areas are distributed in Class 3 and 4,
accounting for 25.41%, reduce reserved areas are distributed in Class 4 and 5, accounting for 13.05%.
The results are consistent with the actual situation, and provide a feasible method for cultivated land
classification and zoning protection.