Mapping the Global Distribution of Livestock
Publication Date
May 29, 2014
Journal
PLOS ONE
Authors
Timothy P. Robinson, G. R. William Wint, Giulia Conchedda, Thomas P. Van Boeckel, et al
Volume
9
Issue
5
Pages
e96084
DOI
http://doi.org/10.1371/journal.pone.0096084
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0096084
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/24875496
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038494
Europe PMC
http://europepmc.org/abstract/MED/24875496
Web of Science
000336790800001
Scopus
84902203217
Mendeley
http://www.mendeley.com/research/mapping-global-distribution-livestock-10
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Mendeley | Further Information

{"title"=>"Mapping the global distribution of livestock", "type"=>"journal", "authors"=>[{"first_name"=>"Timothy P.", "last_name"=>"Robinson", "scopus_author_id"=>"56360252500"}, {"first_name"=>"G. R.", "last_name"=>"William Wint", "scopus_author_id"=>"55413489500"}, {"first_name"=>"Giulia", "last_name"=>"Conchedda", "scopus_author_id"=>"24279576700"}, {"first_name"=>"Thomas P.", "last_name"=>"Van Boeckel", "scopus_author_id"=>"36471498800"}, {"first_name"=>"Valentina", "last_name"=>"Ercoli", "scopus_author_id"=>"56199845400"}, {"first_name"=>"Elisa", "last_name"=>"Palamara", "scopus_author_id"=>"36154919800"}, {"first_name"=>"Giuseppina", "last_name"=>"Cinardi", "scopus_author_id"=>"56200437300"}, {"first_name"=>"Laura", "last_name"=>"D'Aietti", "scopus_author_id"=>"54911908800"}, {"first_name"=>"Simon I.", "last_name"=>"Hay", "scopus_author_id"=>"56281202700"}, {"first_name"=>"Marius", "last_name"=>"Gilbert", "scopus_author_id"=>"7202762478"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"isbn"=>"1365-2656", "doi"=>"10.1371/journal.pone.0096084", "sgr"=>"84902203217", "issn"=>"19326203", "scopus"=>"2-s2.0-84902203217", "pui"=>"373272716", "pmid"=>"24875496"}, "id"=>"8230c69f-73a4-3592-a039-82f85a90fb16", "abstract"=>"<p>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 (<ext-link xmlns:xlink=\"http://www.w3.org/1999/xlink\" ext-link-type=\"uri\" xlink:href=\"http://www.livestock.geo-wiki.org\" xlink:type=\"simple\">http://www.livestock.geo-wiki.org</ext-link>), as will be the maps of other livestock types as they are produced.</p>", "link"=>"http://www.mendeley.com/research/mapping-global-distribution-livestock-10", "reader_count"=>290, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>10, "Librarian"=>1, "Researcher"=>81, "Student > Doctoral Student"=>22, "Student > Ph. D. Student"=>78, "Student > Postgraduate"=>11, "Student > Master"=>42, "Other"=>13, "Student > Bachelor"=>13, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>2, "Professor"=>9}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Professor > Associate Professor"=>10, "Librarian"=>1, "Researcher"=>81, "Student > Doctoral Student"=>22, "Student > Ph. D. Student"=>78, "Student > Postgraduate"=>11, "Student > Master"=>42, "Other"=>13, "Student > Bachelor"=>13, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>2, "Professor"=>9}, "reader_count_by_subject_area"=>{"Unspecified"=>17, "Agricultural and Biological Sciences"=>103, "Arts and Humanities"=>4, "Philosophy"=>1, "Veterinary Science and Veterinary Medicine"=>11, "Business, Management and Accounting"=>1, "Computer Science"=>7, "Earth and Planetary Sciences"=>28, "Economics, Econometrics and Finance"=>3, "Energy"=>1, "Engineering"=>10, "Environmental Science"=>65, "Nursing and Health Professions"=>2, "Materials Science"=>1, "Mathematics"=>3, "Medicine and Dentistry"=>21, "Physics and Astronomy"=>1, "Psychology"=>1, "Social Sciences"=>8, "Linguistics"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>21}, "Social Sciences"=>{"Social Sciences"=>8}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>1}, "Mathematics"=>{"Mathematics"=>3}, "Unspecified"=>{"Unspecified"=>17}, "Environmental Science"=>{"Environmental Science"=>65}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>4}, "Engineering"=>{"Engineering"=>10}, "Energy"=>{"Energy"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>28}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>103}, "Computer Science"=>{"Computer Science"=>7}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Linguistics"=>{"Linguistics"=>1}, "Philosophy"=>{"Philosophy"=>1}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>11}}, "reader_count_by_country"=>{"United States"=>4, "Sri Lanka"=>1, "United Kingdom"=>8, "Kenya"=>2, "Switzerland"=>2, "Portugal"=>1, "Spain"=>2, "Canada"=>1, "Austria"=>1, "Sweden"=>1, "Belgium"=>1, "Senegal"=>1, "Finland"=>1, "Brazil"=>4, "Mexico"=>2, "South Africa"=>1, "Italy"=>3, "Uganda"=>1, "France"=>2, "Germany"=>5, "Ethiopia"=>1}, "group_count"=>20}

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Scopus | Further Information

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/1513014"], "description"=>"<p>GLW 2 global distributions of a) cattle; b) pigs; c) chickens; and d) distribution of ducks, excluding South America and Africa.</p>", "links"=>[], "tags"=>["agriculture", "Agricultural methods", "Sustainable agriculture", "Animal management", "Animal production", "Agricultural production", "biogeography", "Computational biology", "Population modeling", "Veterinary science", "Veterinary diseases", "Veterinary epidemiology", "Atmospheric science", "Climatology", "climate change", "distributions", "excluding", "america"], "article_id"=>1039525, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Timothy P. Robinson", "G. R. William Wint", "Giulia Conchedda", "Thomas P. Van Boeckel", "Valentina Ercoli", "Elisa Palamara", "Giuseppina Cinardi", "Laura D'Aietti", "Simon I. Hay", "Marius Gilbert"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0096084.g002", "stats"=>{"downloads"=>0, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_GLW_2_global_distributions_of_a_cattle_b_pigs_c_chickens_and_d_distribution_of_ducks_excluding_South_America_and_Africa_/1039525", "title"=>"GLW 2 global distributions of a) cattle; b) pigs; c) chickens; and d) distribution of ducks, excluding South America and Africa.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-05-29 02:43:48"}
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  • {"files"=>["https://ndownloader.figshare.com/files/1513018"], "description"=>"<p>*Middle Infra-Red;</p><p>**Land Surface Temperature;</p><p>***Normalized Difference Vegetation Index;</p><p>****Enhanced Vegetation Index;</p><p>****Country totals adjusted to UN values in 2006 (<a href=\"http://www.un.org/esa/population/\" target=\"_blank\">http://www.un.org/esa/population/</a>).</p>", "links"=>[], "tags"=>["agriculture", "Agricultural methods", "Sustainable agriculture", "Animal management", "Animal production", "Agricultural production", "biogeography", "Computational biology", "Population modeling", "Veterinary science", "Veterinary diseases", "Veterinary epidemiology", "Atmospheric science", "Climatology", "climate change", "predictor"], "article_id"=>1039529, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Timothy P. Robinson", "G. R. William Wint", "Giulia Conchedda", "Thomas P. Van Boeckel", "Valentina Ercoli", "Elisa Palamara", "Giuseppina Cinardi", "Laura D'Aietti", "Simon I. Hay", "Marius Gilbert"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0096084.t001", "stats"=>{"downloads"=>7, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_the_predictor_variables_/1039529", "title"=>"Summary of the predictor variables.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-05-29 02:43:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1513019"], "description"=>"<p>Summary of the fitting metrics for each continental tile and species modelled.</p>", "links"=>[], "tags"=>["agriculture", "Agricultural methods", "Sustainable agriculture", "Animal management", "Animal production", "Agricultural production", "biogeography", "Computational biology", "Population modeling", "Veterinary science", "Veterinary diseases", "Veterinary epidemiology", "Atmospheric science", "Climatology", "climate change", "fitting", "metrics", "continental"], "article_id"=>1039530, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Timothy P. Robinson", "G. R. William Wint", "Giulia Conchedda", "Thomas P. Van Boeckel", "Valentina Ercoli", "Elisa Palamara", "Giuseppina Cinardi", "Laura D'Aietti", "Simon I. Hay", "Marius Gilbert"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0096084.t002", "stats"=>{"downloads"=>4, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_the_fitting_metrics_for_each_continental_tile_and_species_modelled_/1039530", "title"=>"Summary of the fitting metrics for each continental tile and species modelled.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-05-29 02:43:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1513020", "https://ndownloader.figshare.com/files/1513021", "https://ndownloader.figshare.com/files/1513022", "https://ndownloader.figshare.com/files/1513023", "https://ndownloader.figshare.com/files/1513024", "https://ndownloader.figshare.com/files/1513025", "https://ndownloader.figshare.com/files/1513026", "https://ndownloader.figshare.com/files/1513027"], "description"=>"<div><p>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 (<a href=\"http://www.livestock.geo-wiki.org\" target=\"_blank\">http://www.livestock.geo-wiki.org</a>), as will be the maps of other livestock types as they are produced.</p></div>", "links"=>[], "tags"=>["agriculture", "Agricultural methods", "Sustainable agriculture", "Animal management", "Animal production", "Agricultural production", "biogeography", "Computational biology", "Population modeling", "Veterinary science", "Veterinary diseases", "Veterinary epidemiology", "Atmospheric science", "Climatology", "climate change"], "article_id"=>1039531, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Timothy P. Robinson", "G. R. William Wint", "Giulia Conchedda", "Thomas P. Van Boeckel", "Valentina Ercoli", "Elisa Palamara", "Giuseppina Cinardi", "Laura D'Aietti", "Simon I. Hay", "Marius Gilbert"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0096084.s001", "https://dx.doi.org/10.1371/journal.pone.0096084.s002", "https://dx.doi.org/10.1371/journal.pone.0096084.s003", "https://dx.doi.org/10.1371/journal.pone.0096084.s004", "https://dx.doi.org/10.1371/journal.pone.0096084.s005", "https://dx.doi.org/10.1371/journal.pone.0096084.s006", "https://dx.doi.org/10.1371/journal.pone.0096084.s007", "https://dx.doi.org/10.1371/journal.pone.0096084.s008"], "stats"=>{"downloads"=>64, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mapping_the_Global_Distribution_of_Livestock_/1039531", "title"=>"Mapping the Global Distribution of Livestock", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-05-29 02:43:48"}

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Relative Metric

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