Mapping species distribution ranges by means of heterogeneus data

Abstract

This thesis explores the different dimensions of species distribution maps to address problems posed by ecology and conservation biology. Likewise, we try to understand and respond to the uncertainty associated with distribution maps due to the quality of the information of heterogeneous occurrence, in order to help interpret the existing results and direct future research towards tools that allow us to generate systematic and consistent areas of distribution. The metrics developed throughout this thesis could be incorporated into online tools that allow researchers and funding agencies to identify priority species to improve information sources and their associated distribution maps.