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A probabilistic framework for behavioral identification from animal-borne accelerometers

Author

Listed:
  • Dentinger, Jane E.
  • Börger, Luca
  • Holton, Mark D.
  • Jafari-Marandi, Ruholla
  • Norman, Durham A.
  • Smith, Brian K.
  • Oppenheimer, Seth F.
  • Strickland, Bronson K.
  • Wilson, Rory P.
  • Street, Garrett M.

Abstract

Many studies of animal distributions use habitat and climactic variables to explain patterns of observed space use. However, without behavioral information, we can only speculate as to why and how these characteristics are important to species persistence.

Suggested Citation

  • Dentinger, Jane E. & Börger, Luca & Holton, Mark D. & Jafari-Marandi, Ruholla & Norman, Durham A. & Smith, Brian K. & Oppenheimer, Seth F. & Strickland, Bronson K. & Wilson, Rory P. & Street, Garrett , 2022. "A probabilistic framework for behavioral identification from animal-borne accelerometers," Ecological Modelling, Elsevier, vol. 464(C).
    • Handle: RePEc:eee:ecomod:v:464:y:2022:i:c:s0304380021003628
    DOI: 10.1016/j.ecolmodel.2021.109818
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    References listed on IDEAS

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    1. Kentaro Q Sakamoto & Katsufumi Sato & Mayumi Ishizuka & Yutaka Watanuki & Akinori Takahashi & Francis Daunt & Sarah Wanless, 2009. "Can Ethograms Be Automatically Generated Using Body Acceleration Data from Free-Ranging Birds?," PLOS ONE, Public Library of Science, vol. 4(4), pages 1-12, April.
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