The geographical dimension of genetic diversity : a GIScience contribution for the conservation of animal genetic resources ; La dimension géographique de la diversité génétique : science de l'information géographique et conservation des ressources génétiques animales

In its natural framework, genetic information is embedded within a geographic context. Plants and animals are directly influenced by the specific characteristics of their surrounding environment. Therefore, spatial information is a potentially important element to be considered in trying to understand genetic resources. For many years, Geographical Information Science (GIScience) turned toward environmental modelling, generally to demonstrate how GIS basic features could be efficiently applied to fields related to the natural sciences. However, despite its current predominance in life sciences and its direct application to concerns of public society (health, food), genetics had heretofore remained outside the scope of research by the GIScience community while biologists were developing approaches based on GIS, which conducted to the elaboration of «landscape genetics». The present GIScience approach to linking genetics and geographics obviously places emphasis on geographic information, unlike most studies in this domain. This perspective is developed through an application to two case studies to assess the potential contribution of GIScience to conservation biology. The main one is provided by Econogene, a European research project aiming at promoting the sustainable conservation of genetic resources in sheep and goats. These small ruminants have considerable economic importance in marginal agrosystems in Europe. The surveying of their genetic resources makes it possible to highlight endangered breeds having high distinctiveness and priority for conservation. The second case study is complementary and supplies wild species data to demonstrate how genetic information is used to assess conservation measures applied to the endangered Scandinavian Brown Bear. Advanced molecular technologies make it possible to efficiently measure genetic information. In parallel, considerable advancements in computer science have led to the development of sophisticated GIS software and methods. The joining of molecular biology and ...