Romain started working in the MabLab in October 2019, investigating spatial pattern of raccoons in an urban area. The objective of this study is to understand the effect of urban infrastructures (as roads or trash bins) on raccoon habitat selection, in order to develop a theoretical model able to predict spatial patterns of raccoons in the landscape. This project requires skills in the manipulation of Step Selection Functions (SSF), Hidden Markov Models (HMM), Individual-Based Models (IBM) and statistical analyzes.
This project is actually a 9-month internship in the MabLab, while Romain works as a MS student at the Ecole Normale Supérieure Paris-Saclay. Before that, Romain earned his Bachelor’s degree in “Biology and Health” at the Paris-Saclay University, France.
During his first year of MS, Romain participated to a research project in the “Centre d’Écologie Fonctionnelle et Évolutive” (CEFE) (Montpellier, France) under the supervision of Dr. Simon Chamaillé-Jammes and Dr. Rémi Patin about effects of memory on the estimation of the strength of habitat selection, and implications on our ability to accurately predict individual distributions. By using an individual-based model, I concluded that space familiarity is a more important driver than competition and habitat selection in order to accurately predict individual distributions.