Mouvement, Abondance, Distribution
- Publication : 2 juillet 2021
Doctorante Université de Montpellier
I am a PhD candidate, working in movement ecology, landscape ecology and animal behavior. My PhD project aims to understand the effects of agricultural practices and landscapes on the behavior of local wildlife, using roe deer as an example species in the South West of France.
Bureau 306 3ème étage
1919, route de Mende
34293 Montpellier cedex 5
Effects of agricultural practices and landscapes on the behavior of roe deer: towards an anthropogenic seasonality?
My thesis examines the effects of anthropogenic disturbances on wildlife movement and behavior, focusing on the impact of agricultural practices on resource availability, risk perception and ungulate space use.
I am especially interested in how human activities can influence the interplay between spatial and temporal variations in resource availability and risk perception (e.g., harvesting, irrigation, hunting) at the population and individual level. I am also orienting my research towards understanding the combined effects of global change (increasing temperatures and water scarcity) and human landscape modifications (through agriculture) on the capacity of roe deer to adjust their behavior to changing conditions.
To do so, I combine field monitoring of landscape composition and agricultural practices with longitudinal animal movement (e.g. VHF, GPS) and biologging data (e.g. activity, temperature). I primarily work on the European roe deer (Capreolus capreolus).
Rigoudy, N., Benyoub, A., Besnard, A., Birck, C., Bollet, Y., Bunz, Y., ... Miele.V, & Chamaillé-Jammes, S. (2022). The DeepFaune initiative: a collaborative effort towards the automatic identification of French fauna in camera-trap images. bioRxiv, 2022-03. https://doi.org/10.1101/2022.03.15.484324 (in preparation)
Rigoudy, N. L., Clinchy, M., Peel, M. J., Huebner, S., Packer, C., & Zanette, L. Y. (2022). Hierarchy of fear: experimentally testing ungulate reactions to lion, African wild dog and cheetah. Behavioral Ecology, 33(4), 789-797. https://doi.org/10.1093/beheco/arac041