Integrating geo-referenced multiscale and multidisciplinary data for the management of biodiversity in livestock genetic resources
2010
Joost, S. | Colli, L. | Baret, P.V. | Garcia, J.F. | Boettcher, P.J. | Tixier-Boichard, Michèle | Ajmone-Marsan, P. | Laboratoty of Geographic Information Systems, School of Architecture, Civil and Environmental Engineering ; Ecole Polytechnique Fédérale de Lausanne (EPFL) | Instituto di Zootecnica ; Università cattolica del Sacro Cuore [Milano] (Unicatt) | Earth and Life Institute, GENA-POPS ; Université Catholique de Louvain = Catholic University of Louvain (UCL) | Departamento de Apoio, Produção e Saùde Animal ; Universidade Estadual Paulista Júlio de Mesquita Filho = São Paulo State University (UNESP) | Animal Production and Health Division (NSA) ; Food and Agriculture Organization of the United Nations [France] (FAO) ; Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO)-Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO) | Génétique Animale et Biologie Intégrative (GABI) ; Institut National de la Recherche Agronomique (INRA)-AgroParisTech
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.
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