Version DOI Comment Publication Date
1 10.13012/B2IDB-7439710_V1 2019-09-01
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update: {"publication_state"=>["file embargo", "released"]} 2019-09-28T06:00:07Z
update: {"publication_state"=>["released", "file embargo"]} 2019-09-27T20:36:38Z
update: {"publication_state"=>["file embargo", "released"]} 2019-08-28T15:46:00Z
update: {"publication_state"=>["released", "file embargo"]} 2019-08-28T15:45:59Z
update: {"version_comment"=>[nil, ""], "subject"=>[nil, "Technology and Engineering"]} 2019-08-28T15:45:59Z
update: {"publication_state"=>["file embargo", "released"]} 2019-08-28T14:34:20Z
update: {"description"=>["Agriculture has substantial socioeconomic and environmental impacts that vary between crops. However, information on how the spatial distribution of specific crops has changed over time across the globe is relatively sparse. We introduce the Probabilistic Cropland Allocation Model (PCAM), a novel algorithm to estimate where specific crops have likely been grown over time. Specifically, PCAM downscales annual and national-scale data on the crop-specific area harvested of 17 major crops to a global 0.5-degree grid from 1961-2014. \r\n\r\nThe resulting database presented here provides annual global gridded likelihood estimates of crop-specific areas. Both mean and standard deviations of grid cell fractions are available for each of the 17 crops. Our results provide new insights into the likely changes in the spatial distribution of major crops over the past half-century. For additional information, please see the related paper by Jackson et al. (2019) in Environmental Research Letters (https://doi.org/10.1088/1748-9326/ab3b93).", "Agriculture has substantial socioeconomic and environmental impacts that vary between crops. However, information on how the spatial distribution of specific crops has changed over time across the globe is relatively sparse. We introduce the Probabilistic Cropland Allocation Model (PCAM), a novel algorithm to estimate where specific crops have likely been grown over time. Specifically, PCAM downscales annual and national-scale data on the crop-specific area harvested of 17 major crops to a global 0.5-degree grid from 1961-2014. \r\n\r\nThe resulting database presented here provides annual global gridded likelihood estimates of crop-specific areas. Both mean and standard deviations of grid cell fractions are available for each of the 17 crops. Each netCDF file contains an individual year of data with an additional variable (\"crs\") that defines the coordinate reference system used. Our results provide new insights into the likely changes in the spatial distribution of major crops over the past half-century. For additional information, please see the related paper by Jackson et al. (2019) in Environmental Research Letters (https://doi.org/10.1088/1748-9326/ab3b93)."]} 2019-08-28T14:34:18Z
update: {"data_curation_network"=>[false, true]} 2019-08-27T13:56:56Z
update: {"publication_state"=>["released", "file embargo"]} 2019-08-27T13:38:27Z