Land footprint and ecological impacts of six American diets

DOI

This folder contains eight datasets. See scientific paper for more details on the methodology. Four datasets "land footprint_total/feed/food/grass.csv" indicate the spatial distribution (country level) of the land footprint (in m2 per year) for six diets of consumers in the United States of America: (aad (standard diet), non-vegetarian, semi-vegetarian, eat (diet recommended by the Lancet), lacto-ovo vegetarian, vegan), and three average diets (meat-rich (aad + non-vegetarian), low-meat (semi-vegetarian + eat), no-meat (lacto-ovo vegetarian + vegan)). _food = for food only (excluding animal products); _feed = for animal feed (corn, sorghum, barley, oat, soybean, wheat) embedded in the consumption of animal products (poultry, beef, pork, milk, eggs); _grass = grass embedded in the consumption of milk and beef. Four datasets indicate the spatial distribution of ecological impacts associated to the six diets of consumers in the United States of America. _nitrogen indicates the potential for nitrogen fixation (in m2 per year). Three indicators per diet: nitro = all legume crops considered; no.soya = all legume crops excluding soya; soya = only soya considered. _pollination indicates the reliance on pollination (in m2 per year). Two indicators per diet: polli = area needing pollinator visit; extra: extra land footprint in absence of pollinator visit (due to lower crop yield when pollination does not occur). _wf indicates the volumetric water footprint (in m3 per year). Two indicators per diet: bluewf = water extracted from freshwater ecosystems; greywf = water polluted in freshwater ecosystems. wsi_wf indicates the stress-weighed water footprint -i.e. the pressure put on freshwater ecosystems - obtained by multiplying the volumetric water footprint by water-stress characterization factors at the national level (from Ridoutt and Pfister, 2010). FAO codes, ISO3 or ISO2 of the countries of origin of the crops can be used to visualise the data in GIS.

Identifier
DOI https://doi.org/10.34894/AZ0HRO
Related Identifier https://doi.org/10.1016/j.gloenvcha.2020.102066
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/AZ0HRO
Provenance
Creator Laroche, Perrine
Publisher DataverseNL
Contributor Schulp, Nynke
Publication Year 2023
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Schulp, Nynke (Vrije Universiteit Amsterdam)
Representation
Resource Type Dataset
Format text/csv; text/plain
Size 19063; 23059; 17967; 23246; 26923; 38125; 27225; 21256; 2252
Version 1.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences