Frontiers in Ecology and Evolution (Jun 2022)
Life in 2.5D: Animal Movement in the Trees
- Roi Harel,
- Roi Harel,
- Shauhin Alavi,
- Shauhin Alavi,
- Shauhin Alavi,
- Alison M. Ashbury,
- Alison M. Ashbury,
- Jillian Aurisano,
- Tanya Berger-Wolf,
- Tanya Berger-Wolf,
- Tanya Berger-Wolf,
- Tanya Berger-Wolf,
- Grace H. Davis,
- Grace H. Davis,
- Grace H. Davis,
- Grace H. Davis,
- Grace H. Davis,
- Ben T. Hirsch,
- Ben T. Hirsch,
- Urs Kalbitzer,
- Urs Kalbitzer,
- Urs Kalbitzer,
- Roland Kays,
- Roland Kays,
- Roland Kays,
- Kevin Mclean,
- Chase L. Núñez,
- Chase L. Núñez,
- Chase L. Núñez,
- Alexander Vining,
- Alexander Vining,
- Alexander Vining,
- Alexander Vining,
- Zea Walton,
- Zea Walton,
- Zea Walton,
- Rasmus Worsøe Havmøller,
- Rasmus Worsøe Havmøller,
- Margaret C. Crofoot,
- Margaret C. Crofoot,
- Margaret C. Crofoot,
- Margaret C. Crofoot,
- Margaret C. Crofoot,
- Margaret C. Crofoot
Affiliations
- Roi Harel
- Max Planck Institute of Animal Behavior, Konstanz, Germany
- Roi Harel
- Department of Biology, University of Konstanz, Konstanz, Germany
- Shauhin Alavi
- Max Planck Institute of Animal Behavior, Konstanz, Germany
- Shauhin Alavi
- Department of Biology, University of Konstanz, Konstanz, Germany
- Shauhin Alavi
- Center for the Advanced Study of Collective Behavior, University of Konstanz, Konstanz, Germany
- Alison M. Ashbury
- Max Planck Institute of Animal Behavior, Konstanz, Germany
- Alison M. Ashbury
- Department of Biology, University of Konstanz, Konstanz, Germany
- Jillian Aurisano
- Data Visualization and Interaction at Cincinnati Laboratory, University of Cincinnati, Cincinnati, OH, United States
- Tanya Berger-Wolf
- Computer Science and Engineering, Ohio State University, Columbus, OH, United States
- Tanya Berger-Wolf
- Electrical and Computer Engineering, Ohio State University, Columbus, OH, United States
- Tanya Berger-Wolf
- Evolution, Ecology, and Organismal Biology, Ohio State University, Columbus, OH, United States
- Tanya Berger-Wolf
- Translational Data Analytics Institute, Ohio State University, Columbus, OH, United States
- Grace H. Davis
- Max Planck Institute of Animal Behavior, Konstanz, Germany
- Grace H. Davis
- Department of Biology, University of Konstanz, Konstanz, Germany
- Grace H. Davis
- Center for the Advanced Study of Collective Behavior, University of Konstanz, Konstanz, Germany
- Grace H. Davis
- Department of Anthropology, University of California, Davis, Davis, CA, United States
- Grace H. Davis
- 0Animal Behavior Graduate Group, University of California, Davis, Davis, CA, United States
- Ben T. Hirsch
- 1Smithsonian Tropical Research Institute, Panama City, Panama
- Ben T. Hirsch
- 2College of Science and Engineering, James Cook University, Townsville, QLD, Australia
- Urs Kalbitzer
- Max Planck Institute of Animal Behavior, Konstanz, Germany
- Urs Kalbitzer
- Department of Biology, University of Konstanz, Konstanz, Germany
- Urs Kalbitzer
- Center for the Advanced Study of Collective Behavior, University of Konstanz, Konstanz, Germany
- Roland Kays
- 1Smithsonian Tropical Research Institute, Panama City, Panama
- Roland Kays
- 3North Carolina Museum of Natural Sciences, Raleigh, NC, United States
- Roland Kays
- 4Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, United States
- Kevin Mclean
- 5Science Communication Lab, Inc., San Francisco, CA, United States
- Chase L. Núñez
- Max Planck Institute of Animal Behavior, Konstanz, Germany
- Chase L. Núñez
- Department of Biology, University of Konstanz, Konstanz, Germany
- Chase L. Núñez
- Center for the Advanced Study of Collective Behavior, University of Konstanz, Konstanz, Germany
- Alexander Vining
- Max Planck Institute of Animal Behavior, Konstanz, Germany
- Alexander Vining
- Department of Biology, University of Konstanz, Konstanz, Germany
- Alexander Vining
- Center for the Advanced Study of Collective Behavior, University of Konstanz, Konstanz, Germany
- Alexander Vining
- 0Animal Behavior Graduate Group, University of California, Davis, Davis, CA, United States
- Zea Walton
- Max Planck Institute of Animal Behavior, Konstanz, Germany
- Zea Walton
- Department of Biology, University of Konstanz, Konstanz, Germany
- Zea Walton
- Center for the Advanced Study of Collective Behavior, University of Konstanz, Konstanz, Germany
- Rasmus Worsøe Havmøller
- Max Planck Institute of Animal Behavior, Konstanz, Germany
- Rasmus Worsøe Havmøller
- 6Research and Collections, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
- Margaret C. Crofoot
- Max Planck Institute of Animal Behavior, Konstanz, Germany
- Margaret C. Crofoot
- Department of Biology, University of Konstanz, Konstanz, Germany
- Margaret C. Crofoot
- Center for the Advanced Study of Collective Behavior, University of Konstanz, Konstanz, Germany
- Margaret C. Crofoot
- Department of Anthropology, University of California, Davis, Davis, CA, United States
- Margaret C. Crofoot
- 0Animal Behavior Graduate Group, University of California, Davis, Davis, CA, United States
- Margaret C. Crofoot
- 1Smithsonian Tropical Research Institute, Panama City, Panama
- DOI
- https://doi.org/10.3389/fevo.2022.801850
- Journal volume & issue
-
Vol. 10
Abstract
The complex, interconnected, and non-contiguous nature of canopy environments present unique cognitive, locomotor, and sensory challenges to their animal inhabitants. Animal movement through forest canopies is constrained; unlike most aquatic or aerial habitats, the three-dimensional space of a forest canopy is not fully realized or available to the animals within it. Determining how the unique constraints of arboreal habitats shape the ecology and evolution of canopy-dwelling animals is key to fully understanding forest ecosystems. With emerging technologies, there is now the opportunity to quantify and map tree connectivity, and to embed the fine-scale horizontal and vertical position of moving animals into these networks of branching pathways. Integrating detailed multi-dimensional habitat structure and animal movement data will enable us to see the world from the perspective of an arboreal animal. This synthesis will shed light on fundamental aspects of arboreal animals’ cognition and ecology, including how they navigate landscapes of risk and reward and weigh energetic trade-offs, as well as how their environment shapes their spatial cognition and their social dynamics.
Keywords
