ORIGINAL RESEARCH
Layout Optimization and Division of Plateau Mountain Arable Land-Based on Cultivated Land Quality Evaluation and Local Spatial Autocorrelation
Yuan Lei 1,2
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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
CORRESPONDING AUTHOR
Chen Guoping   

Faculty of Land Resource Engineering,Faculty of Geomatics Engineering, Kunming University of Science and Technology,Kunming Metallurgy College, 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
 
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.
eISSN:2083-5906
ISSN:1230-1485