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Predicting Flightless Cormorant Behavior

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Modeling Behavior and Population Dynamics

Part of the book series: Interdisciplinary Applied Mathematics ((IAM,volume 57))

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Abstract

This chapter is based on work carried out in the Galápagos Islands, Ecuador in 2011. James Hayward and Susana Velastegui Chávez, with two graduate students, Libby Megna and Brianna Payne, collected the data. Shandelle Henson carried out the data analysis, which involved Poisson regression, logistic regression, and multi-model inference based on the Akaike information criterion (AIC). Results from the study were initially published in The Wilson Journal of Ornithology in 2013 [18]. We present this work as an example of how regression models can be used to explain the aggregate behavior of marine organisms.

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Author information

Authors and Affiliations

  1. Department of Mathematics, University of Arizona, Tucson, AZ, USA

    Jim M. Cushing

  2. Department of Mathematics and Department of Biology, Andrews University, Berrien Springs, MI, USA

    Shandelle M. Henson

  3. Department of Biology, Andrews University, Berrien Springs, MI, USA

    James L. Hayward

Authors
  1. Jim M. Cushing
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  2. Shandelle M. Henson
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  3. James L. Hayward
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5.5 Appendix: Flightless Cormorant Responses to Environmental Factors

5.5 Appendix: Flightless Cormorant Responses to Environmental Factors

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Cushing, J.M., Henson, S.M., Hayward, J.L. (2023). Predicting Flightless Cormorant Behavior. In: Modeling Behavior and Population Dynamics. Interdisciplinary Applied Mathematics, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-031-34283-7_5

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