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Eating or Meeting? Cluster Analysis Reveals Intricacies of White Shark (Carcharodon carcharias) Migration and Offshore Behavior

Overview of attention for article published in PLOS ONE, October 2012
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Title
Eating or Meeting? Cluster Analysis Reveals Intricacies of White Shark (Carcharodon carcharias) Migration and Offshore Behavior
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047819
Pubmed ID
Authors

Salvador J. Jorgensen, Natalie S. Arnoldi, Ethan E. Estess, Taylor K. Chapple, Martin Rückert, Scot D. Anderson, Barbara A. Block

Abstract

Elucidating how mobile ocean predators utilize the pelagic environment is vital to understanding the dynamics of oceanic species and ecosystems. Pop-up archival transmitting (PAT) tags have emerged as an important tool to describe animal migrations in oceanic environments where direct observation is not feasible. Available PAT tag data, however, are for the most part limited to geographic position, swimming depth and environmental temperature, making effective behavioral observation challenging. However, novel analysis approaches have the potential to extend the interpretive power of these limited observations. Here we developed an approach based on clustering analysis of PAT daily time-at-depth histogram records to distinguish behavioral modes in white sharks (Carcharodon carcharias). We found four dominant and distinctive behavioral clusters matching previously described behavioral patterns, including two distinctive offshore diving modes. Once validated, we mapped behavior mode occurrence in space and time. Our results demonstrate spatial, temporal and sex-based structure in the diving behavior of white sharks in the northeastern Pacific previously unrecognized including behavioral and migratory patterns resembling those of species with lek mating systems. We discuss our findings, in combination with available life history and environmental data, and propose specific testable hypotheses to distinguish between mating and foraging in northeastern Pacific white sharks that can provide a framework for future work. Our methodology can be applied to similar datasets from other species to further define behaviors during unobservable phases.

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Geographical breakdown

Country Count As %
Chile 2 <1%
United Kingdom 1 <1%
Canada 1 <1%
Mexico 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 210 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 44 20%
Researcher 37 17%
Student > Master 28 13%
Student > Ph. D. Student 25 12%
Other 16 7%
Other 24 11%
Unknown 43 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 104 48%
Environmental Science 24 11%
Earth and Planetary Sciences 11 5%
Biochemistry, Genetics and Molecular Biology 4 2%
Medicine and Dentistry 4 2%
Other 22 10%
Unknown 48 22%