Affiliation:
1. Department of Zoology, Biodiversity Research Centre University of British Columbia Vancouver British Columbia Canada
2. School of Environmental Science Simon Fraser University Burnaby British Columbia Canada
3. Canadian Forest Service (Pacific Forestry Centre) Natural Resources Canada Victoria British Columbia Canada
4. Department of Biology University of British Columbia Kelowna British Columbia Canada
5. Département de Biologie Université de Sherbrooke Sherbrooke Québec Canada
6. Marine and Environmental Biology Section, Department of Biological Sciences University of Southern California Los Angeles California USA
Abstract
AbstractAimAnimals 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.LocationGlobal.Time period1945–2019.Major taxa studiedVertebrates.MethodsWe 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.ResultsWe 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 conclusionsOverall, 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.
Funder
Liber Ero Foundation
Natural Sciences and Engineering Research Council of Canada
University of British Columbia
Subject
Ecology,Ecology, Evolution, Behavior and Systematics,Global and Planetary Change
Cited by
1 articles.
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