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Predicting the Dynamics of Aggregate Loafing Behavior in Gulls

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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

Research reported in this chapter was the initial project carried out by the Seabird Ecology Team. It provided one of the first rigorous demonstrations that a differential equation model using environmental variables can be used to describe, explain, and accurately predict the aggregate behavior of marine vertebrates. It also served as the impetus and conceptual basis for much of the work in the remaining chapters of this volume. Hypothesis formation, data collection, and analysis were carried out by senior researchers Shandelle Henson, James Hayward, and Joseph Galusha, with the assistance of undergraduate students Christina Burden and Clara Logan. The initial report of this work was published in The Auk in 2004 [20].

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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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Cushing, J.M., Henson, S.M., Hayward, J.L. (2023). Predicting the Dynamics of Aggregate Loafing Behavior in Gulls. In: Modeling Behavior and Population Dynamics. Interdisciplinary Applied Mathematics, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-031-34283-7_1

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