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author:

Qiu, B. (Qiu, B..) [1] | Li, H. (Li, H..) [2] | Tang, Z. (Tang, Z..) [3] | Chen, C. (Chen, C..) [4] | Berry, J. (Berry, J..) [5]

Indexed by:

Scopus

Abstract:

Urbanization has widely known to directly consume swaths of cropland worldwide. Knowledge on what kinds of urbanization processes spared cropland is important for land use planning. This study offered insights on the impact of city level (city hierarchy: from the 1st to the 6th Tier cities) and urbanization modes (mega-city, city, town and village modes) on cropland losses through a first-ever continuous national survey on 345 prefectural level cities or above in mainland China from 2003 to 2016. We found that higher tier cities were associated with more direct and severe losses. Specifically, over 80 % of the recent urbanization formed on cropland in the 1st Tier cities, and the newly 1st Tier cities suffered the most rigorous losses. At national level, mega-city mode urbanization resulted in direct cropland losses (80 %) and the village mode was associated with prominent high-quality ratio (45 %). Town mode spared cropland more than village mode. However, ranking with urbanization mode was less obvious and even changed in the lower-Tier cities. At national scale, around 1.45 % of the total cropland area (approximately 2297 km² per year), including 1.06 % of high quality cropland area (approximately 852 km² per year), has been permanently lost. The most rapid cropland loss was in 2009 (3464 km2), and that of high quality cropland occurring in 2007 (1775 km2). Over 95 % cropland losses located in the east of the Hu line. Findings in this study called for target adaptive planning with full considerations of city hierarchy and urbanization mode. Particularly, land use policies to effective support land development in small towns can potentially relief pressure on cropland. © 2020 Elsevier Ltd

Keyword:

China; City hierarchy; Coupling; Cropland losses; Unbalanced urbanization

Community:

  • [ 1 ] [Qiu, B.]Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, National Engineering Research Centre of Geospatial Information Technology, Fuzhou University, Fuzhou, Fujian 350116, China
  • [ 2 ] [Li, H.]Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, National Engineering Research Centre of Geospatial Information Technology, Fuzhou University, Fuzhou, Fujian 350116, China
  • [ 3 ] [Tang, Z.]Community and Regional Planning Program, University of Nebraska-Lincoln, Lincoln, NE 68558, United States
  • [ 4 ] [Chen, C.]Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, National Engineering Research Centre of Geospatial Information Technology, Fuzhou University, Fuzhou, Fujian 350116, China
  • [ 5 ] [Berry, J.]Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, United States

Reprint 's Address:

  • [Qiu, B.]Spatial Information Research Centre of Fujian Province, Fuzhou University, Yangguang Keji Building, floor 8th, Xueyuan Road 2, China

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Source :

Land Use Policy

ISSN: 0264-8377

Year: 2020

Volume: 96

5 . 3 9 8

JCR@2020

6 . 0 0 0

JCR@2023

ESI HC Threshold:91

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 51

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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