Habitat selection models to account for seasonal persistence in radio telemetry data |
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Authors: | Megan Dailey Alix I Gitelman Fred L Ramsey Steve Starcevich |
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Institution: | (1) Department of Statistics, Colorado State University, Fort Collins, CO, USA;(2) Statistics Department, Oregon State University, Corvallis, OR, USA;(3) Oregon Department of Fish and Wildlife, Native Fish Project, Corvallis Research Lab, Corvallis, OR, USA |
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Abstract: | Models for the analysis of habitat selection data incorporate covariates in an independent multinomial selections model (McCracken
et al. 1998) Ramsey and Usner 2003 and an extension of that model to include a persistence parameter (2003). In both cases,
all parameters are assumed to be fixed through time. Radio telemetry data collected for habitat selection studies typically
consist of animal relocations through time, suggesting the need for an extension to these models. We use a Bayesian approach
that allows for the habitat selection probabilities, persistence parameter, or both, to change with season. These extensions
are particularly important when movement patterns are expected to differ seasonally and/or when availabilities of habitats
change throughout the study period due to weather or migration. We implement and compare the models using radio telemetry
data for westslope cutthroat trout in two streams in eastern Oregon. |
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Keywords: | Bayesian Habitat association Resource selection Multinomial logit Westslope cutthroat trout |
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