Literature DB >> 20422554

The Food and Agriculture Organization's Gridded Livestock of the World.

Timothy P Robinson1, Gianluca Franceschini, William Wint.   

Abstract

Livestock sector planning, policy development and analysis are frequently hampered by the paucity of reliable and accessible information on the distribution, abundance and use of livestock. In an attempt to redress this shortfall, the Food and Agriculture Organization's Animal Production and Health Division (FAO-AGA) has, in collaboration with the Environmental Research Group Oxford, developed the 'Gridded Livestock of the World' database which provide the first standardised global, sub-national resolution maps of the major agricultural livestock species. These are now freely available for download on the FAO website. The data are produced in Environmental Systems Research Institute grid format for cattle, buffalo, sheep, goats, pigs, chickens and other poultry. The map values are animal densities per square kilometre, at a resolution of 3 minutes of arc (approximately 5 km at the Equator), and are derived from official census and survey data. Reported statistics are then processed using a combination of suitability masking and spatial disaggregation by statistical modelling of livestock densities based on empirical relationships between livestock densities and environmental variables in similar agro-ecological zones. The spatial nature of these livestock data allows a wide array of applications. Livestock distribution data give an estimation of production; they evaluate impact (both of and on livestock) by applying a variety of rates; and they provide the denominator in prevalence and incidence estimates for epidemiological applications, and the host distributions for transmission models.

Entities:  

Year:  2007        PMID: 20422554

Source DB:  PubMed          Journal:  Vet Ital        ISSN: 0505-401X            Impact factor:   1.101


  28 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-09       Impact factor: 11.205

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Journal:  Ecohealth       Date:  2015-02-04       Impact factor: 3.184

3.  A human-driven decline in global burned area.

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Journal:  Science       Date:  2017-06-30       Impact factor: 47.728

4.  Modelling the distribution of chickens, ducks, and geese in China.

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Journal:  Agric Ecosyst Environ       Date:  2011-05-01       Impact factor: 5.567

5.  Geographic distribution of the invasive cattle tick Rhipicephalus microplus, a country-wide survey in Benin.

Authors:  E M De Clercq; S O Vanwambeke; M Sungirai; S Adehan; R Lokossou; M Madder
Journal:  Exp Appl Acarol       Date:  2012-06-12       Impact factor: 2.132

6.  Potential for reduced methane and carbon dioxide emissions from livestock and pasture management in the tropics.

Authors:  Philip K Thornton; Mario Herrero
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-07       Impact factor: 11.205

7.  Predicting the distribution of intensive poultry farming in Thailand.

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Journal:  Agric Ecosyst Environ       Date:  2012-03-01       Impact factor: 5.567

8.  Migration of whooper swans and outbreaks of highly pathogenic avian influenza H5N1 virus in eastern Asia.

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Journal:  PLoS One       Date:  2009-05-28       Impact factor: 3.240

9.  Bluetongue disease risk assessment based on observed and projected Culicoides obsoletus spp. vector densities.

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Journal:  PLoS One       Date:  2013-04-01       Impact factor: 3.240

10.  A global model of avian influenza prediction in wild birds: the importance of northern regions.

Authors:  Keiko A Herrick; Falk Huettmann; Michael A Lindgren
Journal:  Vet Res       Date:  2013-06-13       Impact factor: 3.683

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