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Preprints
https://doi.org/10.5194/essd-2020-11
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-11
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  20 Mar 2020

20 Mar 2020

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A revised version of this preprint is currently under review for the journal ESSD.

A cultivated planet in 2010: 2. the global gridded agricultural production maps

Qiangyi Yu1, Liangzhi You1,2, Ulrike Wood-Sichra2, Yating Ru2, Alison K. B. Joglekar3, Steffen Fritz4, Wei Xiong5, Miao Lu1, Wenbin Wu1, and Peng Yang1 Qiangyi Yu et al.
  • 1Key Laboratory of Agricultural Remote Sensing (AGRIRS), Ministry of Agriculture and Rural Affairs / Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • 2International Food Policy Research Institute (IFPRI), Washington DC, USA
  • 3GEMS Agroinformatics Initiative, University of Minnesota, Saint Paul, Minnesota, USA
  • 4International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
  • 5International Maize and Wheat Improvement Center (CIMMYT), Mexico, México

Abstract. Data on global agricultural production are usually available as statistics at administrative units, which does not give any diversity and spatial patterns thus is less informative for subsequent spatially explicit agricultural and environmental analyses. In the second part of the two-paper series, we introduce SPAM2010 – the latest global spatially explicit datasets on agricultural production circa year 2010 – and elaborate on the improvement of the SPAM (Spatial Production Allocation Model) dataset family since year 2000. SPAM2010 adds further methodological and data enhancements to the available crop downscaling modeling: it not only applies the latest global synergy cropland layer (see Lu et al., submitted to the current journal) and other relevant data, but also expands the estimates of crop area, yield and production from 20 to 42 major crops under four farming systems across a global 5 arc-minute grid. All the SPAM maps are freely available at the MapSPAM website (http://mapspam.info/), which not only acts as a tool for validating and improving the performance of the SPAM maps by collecting feedbacks from users, but also dedicates as platform providing archived global agricultural production maps for better targeting the Sustainable Development Goals by making proper agricultural and rural development policies and investments. In particular, SPAM2010 can be downloaded via an open-data repository (DOI: https://doi.org/10.7910/DVN/PRFF8V, IFPRI, 2019).

Qiangyi Yu et al.

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Data sets

Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 1.1 IFPRI https://doi.org/10.7910/DVN/PRFF8V

Qiangyi Yu et al.

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Short summary
SPAM makes plausible estimates of crop distribution within disaggregated units, which moves the data from coarser units such as countries and provinces, to finer units such as grid cells, and creats a global gridscape at the confluence between earth and agricultural production systems. It improves spatial understanding of crop production systems and allows policymakers to better target agricultural and rural development policies for increasing food security with minimal environmental impacts.
SPAM makes plausible estimates of crop distribution within disaggregated units, which moves the...
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