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author:

Qiu, B. (Qiu, B..) [1] | Jian, Z. (Jian, Z..) [2] | Yang, P. (Yang, P..) [3] | Tang, Z. (Tang, Z..) [4] | Zhu, X. (Zhu, X..) [5] | Duan, M. (Duan, M..) [6] | Yu, Q. (Yu, Q..) [7] | Chen, X. (Chen, X..) [8] | Zhang, M. (Zhang, M..) [9] | Tu, P. (Tu, P..) [10] | Xu, W. (Xu, W..) [11] | Zhao, Z. (Zhao, Z..) [12]

Indexed by:

Scopus

Abstract:

CONTEXT: Long-term historical information on national-scale grain production is critical for ensuring food security but often limited by the lack of geospatial data. OBJECTIVE: This study aims to conduct the first systematic investigation of grain Cropping Patterns (CP) in China over the past two decades, shedding light on the roles of grain expansion and intensification in sustainable agriculture. METHODS: This study proposes a framework to fully characterize grain production patterns considering crop types, cropping intensity and patterns based on spatiotemporal continuous ChinaCP datasets (2005–2020). Four indicators were developed for measuring the Reality to Capability Ratio (RCR) of grain production regarding the total yield and sow area, the cropland extent and cropping intensity. The capability of grain production was derived based on grain cultivation history. RESULTS AND CONCLUSION: There was a huge gap between the reality and capability of grain production in China, which varied with grain crop types and cropping patterns. At national level, a vast majority (96%) of cropland was capable of grain production, and two fifths of cropland quantified for double grain cropping. However, only 46.65% and 24.89% of the capability was implemented for grain or double-grain cropping in 2020. Maize, rice, and wheat was ever cultivated in 76.88%, 57.05%, and 25.18% of national cropland, respectively. Winter wheat plays an important role in stabilizing grain production by double grain cropping, accounting for 7/8 continuously grain-cultivated areas. However, the RCR of double rice was only 7% in 2020. Bridging these gaps could potentially triple grain production, however, achieving this increase poses challenges due to a series of constraints related to cropland fraction, topographic conditions and lack of agricultural labors along with rapid urbanization. This study found that there was a continuous Northeastward movement & countryside shift in grain production. Continuous support for long-term active agricultural systems is crucial to ensure sustainable grain production in China, with a special emphasis on key grain productive regions, considering targeted cropping patterns and regional disparities. SIGNIFICANCE: This study enhances our understanding of grain production systems in China based on long-term cultivation histories. Findings can inform the development of more geographic-targeted policies concerning grain cropping intensifications to ensure food security and environmental sustainability in developing countries. The long term spatiotemporal continuous CPChina datasets during 2005-2020 was are publicly accessed at: https://doi.org/10.6084/m9.figshare.25106948. © 2023

Keyword:

China Cropping patterns Grain security Non-grain production Spatiotemporal process

Community:

  • [ 1 ] [Qiu B.]Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fujian, Fuzhou, 350116, China
  • [ 2 ] [Jian Z.]Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fujian, Fuzhou, 350116, China
  • [ 3 ] [Yang P.]Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs, Beijing, China
  • [ 4 ] [Tang Z.]Community and Regional Planning Program, University of Nebraska-Lincoln, Lincoln, 68558, NE, United States
  • [ 5 ] [Zhu X.]Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong
  • [ 6 ] [Duan M.]Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong
  • [ 7 ] [Yu Q.]Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs, Beijing, China
  • [ 8 ] [Chen X.]Faculty of Geographical Science, Beijing Normal University, Beijing, China
  • [ 9 ] [Zhang M.]State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China
  • [ 10 ] [Tu P.]Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fujian, Fuzhou, 350116, China
  • [ 11 ] [Xu W.]Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fujian, Fuzhou, 350116, China
  • [ 12 ] [Zhao Z.]Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fujian, Fuzhou, 350116, China

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Source :

Agricultural Systems

ISSN: 0308-521X

Year: 2024

Volume: 216

6 . 1 0 0

JCR@2023

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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