3 citations · 7 across the 3 of their papers we have counts for
3 papers
Estimating wolf population size in France using non-invasive genetic sampling and spatial capture recapture models
Cyril Milleret, Christophe Duchamp, Sarah Bauduin +4
Population size is a key metric for management and conservation. This is especially true for large carnivore populations for which management decisions are often based on populatio…
Trade-off between deep learning for species identification and inference about predator-prey co-occurrence: Reproducible R workflow integrating models in computer vision and ecological statistics
Olivier Gimenez, Maëlis Kervellec, Jean-Baptiste Fanjul +4
Deep learning is used in computer vision problems with important applications in several scientific fields. In ecology for example, there is a growing interest in deep learning for…
A mechanistic-statistical species distribution model to explain and forecast wolf (Canis lupus) colonization in South-Eastern France
Julie Louvrier, Julien Papaïx, Christophe Duchamp +1
Species distribution models (SDMs) are important statistical tools for ecologists to understand and predict species range. However, standard SDMs do not explicitly incorporate dyna…