244 citations · 274 across the 6 of their papers we have counts for
3 papers · 1 filter
Nine tips for ecologists using machine learning
Marine Desprez, Vincent Miele, Olivier Gimenez
Due to their high predictive performance and flexibility, machine learning models are an appropriate and efficient tool for ecologists. However, implementing a machine learning mod…
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…
Fitting stochastic predator-prey models using both population density and kill rate data
Frederic Barraquand, Olivier Gimenez
Most mechanistic predator-prey modelling has involved either parameterization from process rate data or inverse modelling. Here, we take a median road: we aim at identifying the po…