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e-ISSN 1828-1427

  

Rivista trimestrale di Sanità Pubblica Veterinaria edita dall'Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise ‘G. Caporale'

A quarterly journal devoted to veterinary public health, veterinary science and medicine published by the Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise ‘G. Caporale’ in Teramo, Italy

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2007 - Volume 43 (3) July-September
   
 
Timothy P. Robinson, Gianluca Franceschini & William Wint
The Food and Agriculture Organization’s Gridded Livestock of the World 745-751
       
Summary
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.

Keywords
Disease, Distribution, Food and Agriculture Organization, Geographic information system, Gridded Livestock of the World, Livestock, Modelling, Production.


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