Data for 'Local food crop production can fulfil demand for less than one-third of the population'
Description
Distance to food: Globally optimized distance between crop production and consumption. The optimization creates a theoretical food allocation set-up that minimizes travel time cost from crop production to consumption. Data is in two formats: NetCDF (dist_food_netcdf.zip) and multi-band geotiff (dist_food_tif.zip).
The data includes:
baseline scenario (dist_food_baseline.nc / .tif)
and three other scenarios where food availability is changed by
decreasing food waste by half (dist_food_halfLoss.nc / .tif)
halving the yield gap (dist_food_halfYieldGap.nc / .tif)
both of these measures together (dist_food_halfLoss_halfYielGap.nc / .tif)
The data covers six crop functional types: maize, pulses, rice, temperate cereals, tropical cereals and tropical roots
Dataset specifications:
spatial extent: -180, 180, -90, 90 (xmin, xmax, ymin, ymax)
spatial resolution: 0.5 degrees
projection: long/lat WGS84
layers: 1: maize, 2: pulses, 3: rice, 4: temp_cereals, 5: trop_cereals, 6: trop_roots
no data value: -999
unit: km
Foodsheds: The data contains global foodsheds which are areas that are connected by food flows between raster cells. The food flows are from a theoretical food allocation set-up that minimizes travel time cost from crop production to consumption. In addition to normal foodsheds (values>0), there are two special cases: ridge-cells (value: -99) and unconnected single cells (value: -50). Ridge-cells are raster cells connected to multiple foodsheds, while being able to satisfy their own demand locally. Unconnected single cells are not connected to any other foodshed. Each positivie value is a crop specific id, signifying a connected foodshed area.
Data is in two formats: NetCDF (foodsheds_netcdf.zip) and multi-band geotiff (foodsheds_tif.zip).
The data includes:
baseline scenario (foodsheds_baseline.nc / .tif)
and three other scenarios where food availability is changed by
decreasing food waste by half (foodsheds_halfLoss.nc / .tif)
halving the yield gap (foodsheds_halfYieldGap.nc / .tif)
both of these measures together (foodsheds_halfLoss_halfYielGap.nc / .tif)
The data covers six crop functional types: maize, pulses, rice, temperate cereals, tropical cereals and tropical roots
Dataset specifications:
spatial extent: -180, 180, -90, 90 (xmin, xmax, ymin, ymax)
spatial resolution: 0.5 degrees
projection: long/lat WGS84
layers: 1: maize, 2: pulses, 3: rice, 4: temp_cereals, 5: trop_cereals, 6: trop_roots
no data value: -999
unit: -
Show moreYear of publication
2020
Authors
Australian National University - Contributor
Columbia University - Contributor
Georg August University of Göttingen - Contributor
NASA Goddard Institute for Space Studies - Contributor
University of California, Berkeley - Contributor
Zenodo - Publisher
Other information
Fields of science
Environmental engineering
Open access
Open
License
Creative Commons Attribution 4.0 International (CC BY 4.0)