Data for 'Local food crop production can fulfil demand for less than one-third of the population'
Authors/Creators
- 1. Aalto University
- 2. Australian National University
- 3. University of California, Berkeley
- 4. University of Göttingen
- 5. Columbia University
Description
This dataset is supplement to the following publication (please cite that when using the data):
Kinnunen et al. 2020. Local food crop production can fulfil demand for less than one-third of the population. Nature Food 1: 229–237. http://doi.org/10.1038/s43016-020-0060-7
Data 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: -
Notes
Files
dist_food_netcdf.zip
Additional details
Funding
- European Commission
- SOS.aquaterra - Respecting safe operating spaces: opportunities to meet future food demand with sustainable use of water and land resources 819202
- Research Council of Finland
- Global Water Scarcity Atlas: understanding resource pressure, causes, consequences, and opportunities (WASCO) 305471
References
- Kinnunen et al. 2020. Local food crop production can fulfil demand for less than one-third of population. Nature Food. http://doi.org/10.1038/s43016-020-0060-7