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Scientific data2018; 5; 180227; doi: 10.1038/sdata.2018.227

Global distribution data for cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in 2010.

Abstract: Global data sets on the geographic distribution of livestock are essential for diverse applications in agricultural socio-economics, food security, environmental impact assessment and epidemiology. We present a new version of the Gridded Livestock of the World (GLW 3) database, reflecting the most recently compiled and harmonized subnational livestock distribution data for 2010. GLW 3 provides global population densities of cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in each land pixel at a spatial resolution of 0.083333 decimal degrees (approximately 10 km at the equator). They are accompanied by detailed metadata on the year, spatial resolution and source of the input census data. Two versions of each species distribution are produced. In the first version, livestock numbers are disaggregated within census polygons according to weights established by statistical models using high resolution spatial covariates (dasymetric weighting). In the second version, animal numbers are distributed homogeneously with equal densities within their census polygons (areal weighting) to provide spatial data layers free of any assumptions linking them to other spatial variables.
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Publication Date: 2018-10-30 PubMed ID: 30375994PubMed Central: PMC6207061DOI: 10.1038/sdata.2018.227Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research article is about the creation of the Gridded Livestock of the World (GLW 3) database, which provides updated and more detailed information on the global distribution of different types of livestock in 2010.

Research Purpose

  • The study aims to develop the third version of the Gridded Livestock of the World (GLW 3), a global database showing the geographic distribution of different types of livestock. The database is useful for various applications, including socio-economic analysis in agriculture, food security assessment, evaluating environmental impact, and studying epidemiology.

Methodology

  • The GLW 3 database reflects the most recently compiled and harmonized subnational livestock distribution data from the year 2010.
  • The research provides global population densities of cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in each land pixel at approximately 0.083333 decimal degrees, or roughly 10 km at the equator.
  • Each data point in the database is accompanied by detailed metadata, which includes the year, the spatial resolution, and the source of the input census data.

Data Interpretation

  • The database features two versions of each species’ distribution. The first version, known as the dasymetric weighting method, disaggregates livestock numbers within census polygons according to weights set by statistical models using high-resolution spatial covariates. This process helps to achieve a more detailed and more accurate geographical distribution of the livestock populations.
  • The second version of the species distribution, called the areal weighting method, distributes animal numbers equally within their census polygons. This approach aims to deliver spatial data layers free of any assumptions relating them to other spatial variables, providing a more straightforward overview of the data.

Implications of the Study

  • With the GLW 3 database’s creation, researchers, governments, and organizations involved in various sectors will have access to accurate, detailed, and current data regarding the global distribution of livestock. This information can assist in planning agricultural activities, managing livestock resources, understanding food security, assessing environmental impacts, and studying disease epidemiology.

Cite This Article

APA
Gilbert M, Nicolas G, Cinardi G, Van Boeckel TP, Vanwambeke SO, Wint GRW, Robinson TP. (2018). Global distribution data for cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in 2010. Sci Data, 5, 180227. https://doi.org/10.1038/sdata.2018.227

Publication

Scientific data
ISSN: 2052-4463
NlmUniqueID: 101640192
Country: England
Language: English
Volume: 5
Pages: 180227
PII: 180227

Researcher Affiliations

Gilbert, Marius
  • Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium.
  • Fonds National de la Recherche Scientifique (FNRS), Brussels, Belgium.
Nicolas, Gaëlle
  • Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium.
Cinardi, Giusepina
  • Animal Production and Health Division (AGA), Food and Agriculture Organization of the United Nations, Rome, Italy.
Van Boeckel, Thomas P
  • Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland.
  • Center for Diseases Dynamics Economics and Policy, Washington DC, USA.
Vanwambeke, Sophie O
  • Earth and Life Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Wint, G R William
  • Environment Research Group Oxford (ERGO), Department of Zoology, Oxford, United Kingdom.
Robinson, Timothy P
  • Animal Production and Health Division (AGA), Food and Agriculture Organization of the United Nations, Rome, Italy.

MeSH Terms

  • Agriculture / statistics & numerical data
  • Animals
  • Buffaloes
  • Cattle
  • Chickens
  • Ducks
  • Goats
  • Horses
  • Livestock
  • Population Density
  • Sheep
  • Swine

Conflict of Interest Statement

The authors declare no competing interests.

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Citations

This article has been cited 185 times.
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