High resolution data reveal fundamental steps and turning points in animal movements

Richard Gunner; Rory Wilson; Miguel Lurgi; Luca Borger; James Redcliffe; Emily Shepard; Mark Holton; Margaret Crofoot; Abdulaziz Alagaili; Samantha Andrzejaczek; Daniel Ariano-Sánchez; Thomas Barbedette-Gerard; Nigel Bennett; Alice Bernard; Rowan Brown; Nik Cole; Scott Creel; Ariovaldo Cruz-Neto; Agustina Di Virgilio; Carlos M Duarte; Christophe Eizaguirre; Kyle Elliott; Monika Faltusova; Mathieu Garel; Natasha Gillies; Adrian Gleiss; Aoife Göppert; David Grémillet; Sophie de Grissac; Tim Guilford; Maxime Hoareau; Mark Jessopp; Agustina Gomez-Laich; Ježek Miloš; Sergio Lambertucci; Pascal Marchand; Nikki Marks; Andréia Martins; Mark Meekan; Yuichi Mizutani; Rasmus Mohr Mortensen; Brad Norman; Josué Ortega; Oliver Padget; Michael Painter; Aurore Ponchon; Pascal Provost; Flavio Quintana; Stefanie Reinhardt; Samantha Reynolds; Frank Rosell; Carlos Ruiz-Miranda; Peter Ryan; Michael Scantlebury; Stefan Schoombie; Rebecca Scott; Václav Silovský; Rabindra Vikash Tatayah; Carole Toïgo; Lucia Torrez; Fred Tremblay; Joshua Twining; Ken Yoda; Henri Weimerskirch; Shannon Whelan; Juan Morales; Jonathan Potts

doi:10.21203/rs.3.rs-5559169/v1

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High resolution data reveal fundamental steps and turning points in animal movements

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High resolution data reveal fundamental steps and turning points in animal movements

Richard Gunner, Rory Wilson, Miguel Lurgi, Luca Borger, James Redcliffe, Emily Shepard, Mark Holton, Margaret Crofoot, Abdulaziz Alagaili, Samantha Andrzejaczek, …

18/12/2024

DOI: https://doi.org/10.21203/rs.3.rs-5559169/v1

Résumé

Animal movement paths display substantial complexity and variability, leading researchers to seek underlying rules that govern these patterns and mathematical models that best describe them. Using high-resolution (≥ 10 Hz) movement from 43 vertebrate species across diverse taxa, mass, and lifestyles, we show that movement paths are universally composed of straight-line steps interspersed with sharp turns, echoing a pattern documented for lower taxa such as bacteria. We report how these vertebrate ‘fundamental step lengths’ and ‘fundamental turn angles’, which are intrinsically different from the straight-line paths detailed in studies using low resolution position data, vary with species’ mass, lifestyle, behaviour, and environmental context. To explain these, we posit that animals inherently move in a straight line until sensory information signals a perceived better heading, which instigates a turn. The constellation of fundamental step lengths and turn angles over varying time intervals affects how well different models of animal movement (such as random walk or Lévy flight) fit lower resolution data. By examining turns as decision points, we can seek drivers of animal movement patterns and thereby work to predict future paths under varying conditions.

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Titre: High resolution data reveal fundamental steps and turning points in animal movements
Créateurs - sans rôle: Richard Gunner - Max Planck Institute of Animal Behavior
Rory Wilson - Swansea University
Miguel Lurgi - Swansea University
Luca Borger - Swansea University
James Redcliffe - Swansea University
Emily Shepard - Swansea University
Mark Holton - Swansea University
Margaret Crofoot - Max Planck Institute of Animal Behavior
Abdulaziz Alagaili - King Saud University
Samantha Andrzejaczek - Stanford University
Daniel Ariano-Sánchez - Universidad del Valle de Guatemala
Thomas Barbedette-Gerard - Université Claude Bernard Lyon 1
Nigel Bennett - University of Pretoria
Alice Bernard - Université de Montpellier, Centre d'Ecologie Fonctionnelle et Evolutive - CEFE
Rowan Brown
Nik Cole - Durrell Wildlife Conservation Trust
Scott Creel - Montana State University
Ariovaldo Cruz-Neto
Agustina Di Virgilio
Carlos M Duarte - King Abdullah University of Science and Technology
Christophe Eizaguirre - Queen Mary University of London
Kyle Elliott - McGill University
Monika Faltusova - Czech University of Life Sciences Prague
Mathieu Garel - Office Français de la Biodiversité
Natasha Gillies - University of Liverpool
Adrian Gleiss - Murdoch University
Aoife Göppert - Queen's University Belfast
David Grémillet - Université de Montpellier, Centre d'Ecologie Fonctionnelle et Evolutive - CEFE
Sophie de Grissac - Centre d'Etudes Biologiques de Chizé
Tim Guilford - University of Oxford
Maxime Hoareau - Centre National de la Recherche Scientifique
Mark Jessopp - University College Cork
Agustina Gomez-Laich - Consejo Nacional de Investigaciones Científicas y Técnicas
Ježek Miloš - Czech University of Life Sciences Prague
Sergio Lambertucci - Consejo Nacional de Investigaciones Científicas y Técnicas
Pascal Marchand - Office Français de la Biodiversité
Nikki Marks - Queen's University Belfast
Andréia Martins
Mark Meekan - Australian Institute of Marine Science
Yuichi Mizutani - Nagoya City University
Rasmus Mohr Mortensen - Aarhus University
Brad Norman - ECOCEAN Inc.
Josué Ortega - Max Planck Institute of Animal Behavior
Oliver Padget - University of Oxford
Michael Painter - Czech University of Life Sciences Prague
Aurore Ponchon - Institut Écologie et Environnement
Pascal Provost - Réserve Naturelle Nationale des Sept-Iles
Aurore Ponchon - Institut Écologie et Environnement
Flavio Quintana - Instituto de Biología Subtropical
Stefanie Reinhardt - University of South-Eastern Norway
Samantha Reynolds - The University of Queensland
Frank Rosell - University of South-Eastern Norway
Carlos Ruiz-Miranda
Peter Ryan - University of Cape Town
Michael Scantlebury - Queen's University Belfast
Stefan Schoombie - University of Cape Town
Rebecca Scott - Scottish Enterprise
Václav Silovský - Czech University of Life Sciences Prague
Rabindra Vikash Tatayah - Mauritian Wildlife Foundation
Carole Toïgo - Office Français de la Biodiversité
Lucia Torrez - Max Planck Institute of Animal Behavior
Fred Tremblay - McGill University
Joshua Twining - Queen's University
Ken Yoda - Nagoya University
Henri Weimerskirch - Centre d'Etudes Biologiques de Chizé
Shannon Whelan - McGill University
Juan Morales - Bariloche Atomic Centre
Jonathan Potts - University of Sheffield
Identifiants: 99137379409311
Unité académique: Centre d'Ecologie Fonctionnelle et Evolutive - CEFE
Langue: English
Type de ressource: Working paper
Champs locaux: hal-05195532