Species occurrence in space is influenced by environmental conditions and the presence and absence of other potentially interacting species. Recent advancements in multi-species occupancy modeling techniques have allowed scientists to simultaneously evaluate how both environmental factors and interspecific interactions influence the probability a suite of species will occur at a location in space. This workshop will introduce users to multi-species occupancy models. We will first discuss basic sample design issues and identify how to properly format data for analyses. We will then proceed by fitting simple multi-species models, and continue to add complexity throughout. As we build complexity, we will also highlight scenarios that may lead to problems obtaining reliable parameters estimates. We will further demonstrate how to use penalized likelihood and Bayesian techniques to overcome such problems. We finish the workshop by briefly highlighting ongoing developments, including modeling temporal interactions between species with point process models. The presentation will focus on biological interpretation of model output and we will demonstrate how to produce figures illustrating marginal and conditional probabilities of occurrence. We will demonstrate how to fit the model using the ?unmarked? package in program R, and within program MARK as well. We will share code and data used to conduct example analyses with workshop participants.
Organizers: Christopher Rota, West Virginia University, Morgantown, WV; Arielle Parsons, North Carolina State University and North Carolina Museum of Natural Sciences, Raleigh, NC; Kenneth Kellner, State University of New York, Environmental Science and Forestry, Syracuse, NY
Supported by: Biometrics Working Group