Joint Species distribution models for presence only data

Species distribution models (SDM) and their extensions to the multi-species context (Joint Species Distribution models, JSDM) are widely used to quantify and test environmental factors on biodiversity and the services they deliver. However, these models rely on presence/absence or abundance data derived from specific sampling. For many species, such samples are rare or non-existent. Yet, a wealth of information is available, notably from inventories carried out in the past (herbarium) or from data collected by amateurs (collaborative science). In this presentation, we will first introduce MaxEnt (Maximum Entropy), the most widely used approach in the mono-specific framework, and quickly demonstrate its equivalence with non-homogeneous Poisson point processes. Finally, we present our proposed extension to the multi-species case based on clustering strategy using mixture model framework.