Diagnosis and spatial differentiation of farmland marginalization in village level
The diagnosis and identification of farmland marginalization are intricately linked to establishing a delicate equilibrium between food security and ecological security.This study constructed a comprehensive analytical framework of"temporal diagnosis,explicit and implicit factor interaction,and spatial distribution"by categorizing farmland marginalization types and integrating traditional diagnostic concepts.Using Shepeng Village,the birthplace of the"three changes"reform,as a case study,we conducted an investigation into the spatial and temporal distribution and characteristics of different types of arable land employing standard deviation ellipse,3D kernel density,and other spatial analysis methods.The findings indicate that:1)The temporal diagnosis of farmland marginalization can be done through the interannual variation of net income as a key indicator and can be manifested spatially by the trend of farmland conversion to other land use types.2)Between 2000 and 2020,farmland in Shepeng Village displayed two prominent marginalization phenomena,occurring in 2013-2014 and 2016-2017,with the latter being more pronounced.3)During 2010-2015,farmland marginalization in Shepeng Village exhibited explicit and implicit characteristics prominently.The physical,natural,and economic marginalization of farmland as explicit features amounted to 7.13 hm2,0.99 hm2,and 33.27 hm2 respectively.The degree of marginalization in implicit features demonstrated more significant changes before and after the"three changes"reform,displaying characteristics of mutual fusion and alternating changes.Policy recommendations centered around the concept of food security,economic development,and ecological protection were proposed to provide guidance for promoting the protection and sustainable use of farmland in mountainous areas.
farmland marginalizationcomplex adaptive systemsdiagnosisspatial differentiationShepeng Village
NETL
NSTL
万方数据
