Integrating geo-referenced multiscale and multidisciplinary data for the management of biodiversity in livestock genetic resources


Autoria(s): Joost, S.; Colli, L.; Baret, P. V.; Garcia, José Fernando; Boettcher, P. J.; Tixier-Boichard, M.; Ajmone-Marsan, P.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

30/09/2013

20/05/2014

30/09/2013

20/05/2014

01/05/2010

Resumo

P>In livestock genetic resource conservation, decision making about conservation priorities is based on the simultaneous analysis of several different criteria that may contribute to long-term sustainable breeding conditions, such as genetic and demographic characteristics, environmental conditions, and role of the breed in the local or regional economy. Here we address methods to integrate different data sets and highlight problems related to interdisciplinary comparisons. Data integration is based on the use of geographic coordinates and Geographic Information Systems (GIS). In addition to technical problems related to projection systems, GIS have to face the challenging issue of the non homogeneous scale of their data sets. We give examples of the successful use of GIS for data integration and examine the risk of obtaining biased results when integrating datasets that have been captured at different scales.

Formato

47-63

Identificador

http://dx.doi.org/10.1111/j.1365-2052.2010.02037.x

Animal Genetics. Malden: Wiley-blackwell, v. 41, p. 47-63, 2010.

0268-9146

http://hdl.handle.net/11449/14795

10.1111/j.1365-2052.2010.02037.x

WOS:000276775100004

Idioma(s)

eng

Publicador

Wiley-Blackwell

Relação

Animal Genetics

Direitos

openAccess

Palavras-Chave #conservation #data integration #genetic resources #geodata #Geographic Information Systems #livestock #statistics
Tipo

info:eu-repo/semantics/article