Literature DB >> 29309967

Changing man-land interrelations in China's farming area under urbanization and its implications for food security.

Hualou Long1, Dazhuan Ge2, Yingnan Zhang3, Shuangshuang Tu4, Yi Qu3, Li Ma3.   

Abstract

The Huang-Huai-Hai Plain (HHH) is typical of China's farming area, and was predicted as one of the fastest growing areas of urbanization in the world. Since the turn of the new millennium, construction land and farmland transitions in this region driven by rapid urbanization have resulted in dramatic loss of farmland, which triggered a serious threat to regional even national food security. In this paper, the coupling relationships between per capita construction land transition (PCCT) and per capita farmland transition (PCFT) in the HHH and their implications for regional food security are analyzed. During 2000-2015, the farmland decreased by 8.59%, 72.25% of which were occupied by construction land. There are two major coupling types between PCCT and PCFT, one is the double increasing of per capita construction land area (PCCA) and per capita farmland area (PCFA); another is the increasing of PCCA and the decreasing of PCFA. The fluctuant increasing of PCCT and decreasing of PCFT coexisted and presented symmetrical coupling characteristics in space. Physical, location, transportation and socio-economic factors play significantly different roles in driving PCCT and PCFT. The implications for ensuring food security involve promoting the reclamation and redevelopment of inefficient and unused urban-rural construction land, reducing inefficient occupation of farmland resources, developing appropriate scale management of agriculture, and establishing a better social security system to smoothly settle down the floating rural population in the city.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Coupling model; Farmland protection; Land use transition; Policy implications; Rural sustainability; Urban-rural transformation development

Mesh:

Year:  2018        PMID: 29309967     DOI: 10.1016/j.jenvman.2017.12.047

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


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