Variance partitioning-based priors for species distribution models

Species distribution models for community ecology data are usually quite complex because of the need to account for many abiotic factors, with potentially non-linear effects, as well as residual spatio-temporal correlation, which capture abiotic phenomena. The use of variance partioning-based priors recently emerged in the literature could be an effective and intuitive strategy to deal with the high flexibility often required in this field. In this work, we discuss how to extend this new class of priors to species distribution models containing spatial and temporal smooth effects