Occupancy models with multiple levels of temporal variability in detection

Occupancy models are well developed for a variety of species and situations.  However, current models are limited in how they can incorporate multiple levels of temporal variation in detection probability, particularly when the research focus is modeling how landscape features are related to the true underlying occupancy state of a site.  This is critically important for variably cryptic species of conservation concern, such as the federally-listed desert tortoise.  Seth recently developed a new class of occupancy model to estimate how landscape features are related to the true occupancy state of desert tortoise in the presence of within- and among-year variability in detection probabilities and using multiple methods to assign occupancy.  He presented it at the Desert Tortoise Council’s 2018 Symposium and is scheduled to present it at the 2018 International Statistical Ecology Conference in St. Andrews, Scotland.  The manuscript is in preparation.