Data for 'Local food crop production can fulfil demand for less than one-third of the population'

Kuvaus

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: -
Näytä enemmän

Julkaisuvuosi

2020

Aineiston tyyppi

Tekijät

Department of Built Environment

Joseph Guillaume Orcid -palvelun logo - Tekijä

Maija Taka Orcid -palvelun logo - Tekijä

Matti Kummu Orcid -palvelun logo - Tekijä

Michael J. Puma - Tekijä

Mika Jalava Orcid -palvelun logo - Tekijä

Paolo D'Odorico - Tekijä

Pekka Kinnunen Orcid -palvelun logo - Tekijä

Stefan Siebert - Tekijä

Australian National University - Muu tekijä

Columbia University - Muu tekijä

Columbia University and NASA Goddard Institute for Space Studies - Muu tekijä

University of California at Berkeley - Muu tekijä

University of Göttingen - Muu tekijä

Zenodo - Julkaisija

Projekti

Muut tiedot

Tieteenalat

Ympäristötekniikka

Kieli

Saatavuus

Avoin

Lisenssi

Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)

Avainsanat

Asiasanat

Ajallinen kattavuus

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