Spatiotemporal Evolution of Crop Planting Structure in the Black Soil Region of Northeast China: A Case Study in Hailun County

Quanfeng Li, Wei Liu, Guoming Du, Bonoua Faye, Huanyuan Wang, Yunkai Li, Lu Wang and Shijin Qu
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Quanfeng Li: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Wei Liu: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Guoming Du: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Bonoua Faye: School of Economics and Management, Northeast Agricultural University, Harbin 150030, China
Huanyuan Wang: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Yunkai Li: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Lu Wang: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Shijin Qu: School of Public Administration, China University of Geosciences, Wuhan 430074, China

Land, 2022, vol. 11, issue 6, 1-14

Abstract: Detailed characteristics of crop planting structure (CPS) evolution can inform the optimization of the crop yield proportion in the black soil region of Northeast China (BSRNC). Choosing Hailun County as an example, this study sought to analyze the geographic characteristics of CPS evolution from 2000 to 2020. Our analysis produced new spatiotemporal information based on the remote-sensing interpretation data, namely, Landsat4-5 TM, Landsat7 ETM+, and Landsat8 OLI images. The study characterized the temporal and spatial dynamics of CPS. Our results showed the following: (1) Soybean and maize were the main crops, with a total land area of 70%; they alternated as the most dominant crop. (2) The distribution breadth and aggregation intensity of soybean and maize were spatially complementary; rice had the smallest distribution range but strong water aggregation. (3) The evolution pattern of CPS was the interconversion between a single type of soybean and maize. Our results indicate that the future CPS adjustment of BSRNC needs to consider the county-level optimization of crop area proportion and crop spatial distribution. This context has excellent implications in geographically informing policymaking to adjust county-level CPS of BSRNC, thus safeguarding food security.

Keywords: spatiotemporal changes; crop planting structure; black soil region; Northeast China; county-level; geographic characteristics (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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