Analysis of influencing factors of farmland fragmentation based on geographical detector： A case study of Guangzhou City

doi:10.14088/j.cnki.issn0439-8114.2023.05.004

Abstract

Abstract: Guangzhou was selected as the research area. The landscape pattern index method, comprehensive index method and principal component analysis method were used to construct the evaluation system of farmland fragmentation degree, and the comprehensive index of farmland fragmentation degree of each town and street unit in the region was calculated. Ten quantifiable factors of natural conditions and human social activity were selected, and the geographical detector model was used to detect the impact of 10 factors on farmland fragmentation. The results showed that all 10 factors were the influencing factors of farmland fragmentation in Guangzhou City. The influence of the single factor on farmland fragmentation from strong to weak was urban administrative center distance factor, temperature factor, GDP factor, slope factor and altitude factor, precipitation factor, construction land distance factor, road distance factor, water body distance factor and population density factor. The interaction of any two of the 10 factors showed two-factor enhancement or nonlinear enhancement. Based on the research conclusions, some suggestions were put forward to provide valuable decision-making reference for reducing the level of farmland fragmentation in Guangzhou City.

Key words: farmland fragmentation, geographical detector, landscape pattern index, principal component analysis, Guangzhou City

CLC Number:

F301.21

CHEN Jun-tao, LIN Jin-yao. Analysis of influencing factors of farmland fragmentation based on geographical detector： A case study of Guangzhou City[J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(5): 14-21.

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