Model selection and assessment for multi­-species occupancy models

By: , and 



While multi-species occupancy models (MSOMs) are emerging as a popular method for analyzing biodiversity data, formal checking and validation approaches for this class of models have lagged behind. Concurrent with the rise in application of MSOMs among ecologists, a quiet regime shift is occurring in Bayesian statistics where predictive model comparison approaches are experiencing a resurgence. Unlike single-species occupancy models that use integrated likelihoods, MSOMs are usually couched in a Bayesian framework and contain multiple levels. Standard model checking and selection methods are often unreliable in this setting and there is only limited guidance in the ecological literature for this class of models. We examined several different contemporary Bayesian hierarchical approaches for checking and validating MSOMs and applied these methods to a freshwater aquatic study system in Colorado, USA, to better understand the diversity and distributions of plains fishes. Our findings indicated distinct differences among model selection approaches, with cross-validation techniques performing the best in terms of prediction.

Publication type Article
Publication Subtype Journal Article
Title Model selection and assessment for multi­-species occupancy models
Series title Ecology
DOI 10.1890/15-1471.1
Volume 97
Issue 7
Year Published 2016
Language English
Publisher Ecological Society of America
Contributing office(s) Coop Res Unit Seattle
Description 12 p.
First page 1759
Last page 1770
Online Only (Y/N) N
Additional Online Files (Y/N) N
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