Research on Identification of Multiple Cropping Index of Farmland and Regional Optimization Scheme in China Based on NDVI Data

Tingting Li, Yanfei Wang, Changquan Liu and Shuangshuang Tu
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Tingting Li: Rural Development Institute, Chinese Academy of Social Sciences, Beijing 100732, China
Yanfei Wang: College of Land Science and Technology, China Agricultural University, Beijing 100193, China
Changquan Liu: Rural Development Institute, Chinese Academy of Social Sciences, Beijing 100732, China
Shuangshuang Tu: Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Nanning Normal University, The Ministry of Education, Nanning 530001, China

Land, 2021, vol. 10, issue 8, 1-16

Abstract: The multiple cropping index of farmland is a significant characterization of land use intensity. Based on the NDVI data, this paper calculated the multiple cropping index of farmland in China using the S-G filtering method, and proposed an optimized regionalization scheme for the farmland use. The findings reveal that from 2000 to 2018, the multiple cropping index of farmland in China underwent the fluctuation of rising first, then falling and rising continuously, which was closely associated with the agricultural support policies enforced in China. Counties whose multiple cropping indexes decreased from 2009 to 2018 were mainly located in areas primarily producing grain, which exerted a greater influence on food security. The gap between the multiple cropping index and potential multiple cropping index of farmland is increasingly widening from north to south in China. Accordingly, four types of grain producing zones were delineated: key development zone, potential growth zone, appropriate development zone, and restricted development zone. Some suggestions, such as rotation, fallow, determination of yield by water and offsetting the quantity balance of farmland by increasing the multiple cropping index, are put forward based on different zones.

Keywords: NDVI; land use transition; multiple cropping index; farmland; regional optimization scheme (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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