Fernando Colchero
Home People Projects Publications Contact

Animal movement

For the last few years, we have worked in collaboration with researchers from different institutions to develop statistical models for animal movement. With these models we search to understand how animals move over the landscape, what triggers their preferences and how different landscape and environmental features affect their movement decisions.

Fernando Colchero
Fernando Colchero

Our models combine a state-space approach to handle missing movement records, together with what we have described as Markov Chain Resource Selection (MCRS) functions to determine what features increase the probability of moving to a specific point. Together with our colleagues from Jaguar Conservancy and researchers from the Institute of Ecology of the UNAM We have applied these models to find wildlife passes for jaguars (Panthera onca) in the Mayan forests of Mexico (Colchero et al. 2011). Also, in collaboration with Dr Sophie Calmé and Sabrina Plante fron the Univeristy of Sherbrook we have adapted these methods to understand foraging behavior in howler monkeys (Alouata paliata) in the same region (Plante, Colchero & Calmé 2014).

Fernando Colchero