Mapping wolf recolonization with uncertain data

Jan-Jun 2017 MSc thesis

Accounting for misidentifications in dynamic occupancy models.

For my master degree, I did an internship with Julie Louvrier and Olivier Gimenez at the CEFE - CNRS, in Montpellier, France.

This project was a part of Julie’s PhD that aimed at mapping large carnivores distribution. Wolf monitoring in France is based on opportunistic data. Then, an important proportion of collected data are classified as “uncertain”. Uncertain data can be false-positive detections where wolf are misidentified. We extended the dynamic occupancy model of Julie’s paper, to account for uncertain data in the estimation of wolf recolonization.

Extended dynamic occupancy model to account for species misidentification

See details about this project reading my Master degree report To have more details, do not hesitate to contact me directly.