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Mapping the Global Distribution of Livestock

Livestock contributes directly to the livelihoods and food security of almost a billion people and affects the diet and health of many more. With estimated standing populations of 1.43 billion cattle, 1.87 billion sheep and goats, 0.98 billion pigs, and 19.60 billion chickens, reliable and accessibl...

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Autores principales: Robinson, Timothy P., Wint, G. R. William, Conchedda, Giulia, Van Boeckel, Thomas P., Ercoli, Valentina, Palamara, Elisa, Cinardi, Giuseppina, D'Aietti, Laura, Hay, Simon I., Gilbert, Marius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038494/
https://www.ncbi.nlm.nih.gov/pubmed/24875496
http://dx.doi.org/10.1371/journal.pone.0096084
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author Robinson, Timothy P.
Wint, G. R. William
Conchedda, Giulia
Van Boeckel, Thomas P.
Ercoli, Valentina
Palamara, Elisa
Cinardi, Giuseppina
D'Aietti, Laura
Hay, Simon I.
Gilbert, Marius
author_facet Robinson, Timothy P.
Wint, G. R. William
Conchedda, Giulia
Van Boeckel, Thomas P.
Ercoli, Valentina
Palamara, Elisa
Cinardi, Giuseppina
D'Aietti, Laura
Hay, Simon I.
Gilbert, Marius
author_sort Robinson, Timothy P.
collection PubMed
description Livestock contributes directly to the livelihoods and food security of almost a billion people and affects the diet and health of many more. With estimated standing populations of 1.43 billion cattle, 1.87 billion sheep and goats, 0.98 billion pigs, and 19.60 billion chickens, reliable and accessible information on the distribution and abundance of livestock is needed for a many reasons. These include analyses of the social and economic aspects of the livestock sector; the environmental impacts of livestock such as the production and management of waste, greenhouse gas emissions and livestock-related land-use change; and large-scale public health and epidemiological investigations. The Gridded Livestock of the World (GLW) database, produced in 2007, provided modelled livestock densities of the world, adjusted to match official (FAOSTAT) national estimates for the reference year 2005, at a spatial resolution of 3 minutes of arc (about 5×5 km at the equator). Recent methodological improvements have significantly enhanced these distributions: more up-to date and detailed sub-national livestock statistics have been collected; a new, higher resolution set of predictor variables is used; and the analytical procedure has been revised and extended to include a more systematic assessment of model accuracy and the representation of uncertainties associated with the predictions. This paper describes the current approach in detail and presents new global distribution maps at 1 km resolution for cattle, pigs and chickens, and a partial distribution map for ducks. These digital layers are made publically available via the Livestock Geo-Wiki (http://www.livestock.geo-wiki.org), as will be the maps of other livestock types as they are produced.
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spelling pubmed-40384942014-06-05 Mapping the Global Distribution of Livestock Robinson, Timothy P. Wint, G. R. William Conchedda, Giulia Van Boeckel, Thomas P. Ercoli, Valentina Palamara, Elisa Cinardi, Giuseppina D'Aietti, Laura Hay, Simon I. Gilbert, Marius PLoS One Research Article Livestock contributes directly to the livelihoods and food security of almost a billion people and affects the diet and health of many more. With estimated standing populations of 1.43 billion cattle, 1.87 billion sheep and goats, 0.98 billion pigs, and 19.60 billion chickens, reliable and accessible information on the distribution and abundance of livestock is needed for a many reasons. These include analyses of the social and economic aspects of the livestock sector; the environmental impacts of livestock such as the production and management of waste, greenhouse gas emissions and livestock-related land-use change; and large-scale public health and epidemiological investigations. The Gridded Livestock of the World (GLW) database, produced in 2007, provided modelled livestock densities of the world, adjusted to match official (FAOSTAT) national estimates for the reference year 2005, at a spatial resolution of 3 minutes of arc (about 5×5 km at the equator). Recent methodological improvements have significantly enhanced these distributions: more up-to date and detailed sub-national livestock statistics have been collected; a new, higher resolution set of predictor variables is used; and the analytical procedure has been revised and extended to include a more systematic assessment of model accuracy and the representation of uncertainties associated with the predictions. This paper describes the current approach in detail and presents new global distribution maps at 1 km resolution for cattle, pigs and chickens, and a partial distribution map for ducks. These digital layers are made publically available via the Livestock Geo-Wiki (http://www.livestock.geo-wiki.org), as will be the maps of other livestock types as they are produced. Public Library of Science 2014-05-29 /pmc/articles/PMC4038494/ /pubmed/24875496 http://dx.doi.org/10.1371/journal.pone.0096084 Text en © 2014 Robinson et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Robinson, Timothy P.
Wint, G. R. William
Conchedda, Giulia
Van Boeckel, Thomas P.
Ercoli, Valentina
Palamara, Elisa
Cinardi, Giuseppina
D'Aietti, Laura
Hay, Simon I.
Gilbert, Marius
Mapping the Global Distribution of Livestock
title Mapping the Global Distribution of Livestock
title_full Mapping the Global Distribution of Livestock
title_fullStr Mapping the Global Distribution of Livestock
title_full_unstemmed Mapping the Global Distribution of Livestock
title_short Mapping the Global Distribution of Livestock
title_sort mapping the global distribution of livestock
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038494/
https://www.ncbi.nlm.nih.gov/pubmed/24875496
http://dx.doi.org/10.1371/journal.pone.0096084
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