The role of odds ratios in joint species distribution modeling

Joint species distribution modeling is attracting increasing attention these days, acknowledging the fact that individual level fails to take into account expected dependence/interaction between species. These joint models capture dependence through an associated correlation matrix arising from a set of latent multivariate normal variables. However, associations offer limited insight realized behavior at sites. We focus on presence/absence data using modeling, which, in addition, incorporates spatial For pairs selected collection, we emphasize induced odds ratios (along with occurrence probabilities); they provide better appreciation practical implicit specifications. any pair species, structure enables ratio surface illuminate how varies over region interest. illustrate dataset Cape Floristic Region South Africa consisting more than 600 present for are positively correlated and negatively under model.