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Habitat selection models to account for seasonal persistence in radio telemetry data

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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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Authors and Affiliations

  1. Department of Statistics, Colorado State University, Fort Collins, CO, USA

    Megan Dailey

  2. Statistics Department, Oregon State University, Corvallis, OR, USA

    Alix I. Gitelman & Fred L. Ramsey

  3. Oregon Department of Fish and Wildlife, Native Fish Project, Corvallis Research Lab, Corvallis, OR, USA

    Steve Starcevich

Authors
  1. Megan Dailey
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  2. Alix I. Gitelman
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  3. Fred L. Ramsey
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  4. Steve Starcevich
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Correspondence to Megan Dailey.

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Dailey, M., Gitelman, A.I., Ramsey, F.L. et al. Habitat selection models to account for seasonal persistence in radio telemetry data. Environ Ecol Stat 14, 55–68 (2007). https://doi.org/10.1007/s10651-006-0006-8

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  • DOI: https://doi.org/10.1007/s10651-006-0006-8

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