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Journal Article

Macroecological constraints on species' ‘movement profiles’: Body mass does not explain it all

Samantha Straus; Coreen Forbes; Chelsea J. Little; Rachel M. Germain; Danielle A. Main; Mary I. O'Connor; Patrick L. Thompson; Adam T. Ford; Dominique Gravel; Laura Melissa Guzman
Global Ecology and Biogeography · Vol. 33, Issue 2 · pp. 227-243 · 2024

Abstract

Aim Animals couple habitats by three types of movement: dispersal, migration, and foraging, which dynamically link populations, communities, and ecosystems. Across these types, movement distances tend to correlate with each other, potentially reflecting allometric scaling with body mass, but ecological and evolutionary species' traits may constrain movement distances and weaken these correlations. Here, we investigate multivariate “movement profiles” to better understand patterns in movement across movement types, with the aim of improving predictions in ecology from populations to ecosystems. Location Global. Time period 1945–2019. Major taxa studied Vertebrates. Methods We synthesized distances of all three movement types (dispersal, migration, and foraging) across 300+ vertebrate species and investigated how the relationships between movement types and body mass were modified by evolutionary history and trophic guild. Results We found that the strength of relationships between movement types and body mass varied among taxa and trophic guilds, for example, strongly positive for mammals but weak for birds, or positive across trophic guilds for foraging and dispersal but not migration. Notably, movement profiles interacted with the effects of shared evolutionary history and trophic guild to diminish covariance between movement types. Main conclusions Overall, we find that movement types with distinct ecological consequences (foraging, migration) are often correlated, although some species seem able to overcome biomechanical, evolutionary, and metabolic constraints by reducing correlations among movement types. This integrative assessment of movement can improve ecological prediction by allowing estimation of unobserved movement distances for parameterization of models based on estimation of other movement types.

Bibliographic Information

JournalGlobal Ecology and Biogeography
PublisherWiley
Publication Date2024-02-01
Publication Year2024
Volume33
Issue2
Pages227-243
Document TypeJournal Article
Print ISSN1466-822X
eISSN1466-8238
DOI10.1111/geb.13786
SubjectEcology & Organismal Biology

Access Information

NARA Access Coverage1998-01-01~Current
Journal Homepagehttps://onlinelibrary.wiley.com/loi/14668238
Publisher PageOpen Publisher Page
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