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CC BY V4.0, Open Access
Journal article
Physiology can predict animal activity, exploration, and dispersal
Communications Biology, Vol.5(1), 109
2022
PMID: 35115649
Abstract
Physiology can underlie movement, including short-term activity, exploration of unfamiliar environments, and larger scale dispersal, and thereby influence species distributions in an environmentally sensitive manner. We conducted meta-analyses of the literature to establish, firstly, whether physiological traits underlie activity, exploration, and dispersal by individuals (88 studies), and secondly whether physiological characteristics differed between range core and edges of distributions (43 studies). We show that locomotor performance and metabolism influenced individual movement with varying levels of confidence. Range edges differed from cores in traits that may be associated with dispersal success, including metabolism, locomotor performance, corticosterone levels, and immunity, and differences increased with increasing time since separation. Physiological effects were particularly pronounced in birds and amphibians, but taxon-specific differences may reflect biased sampling in the literature, which also focussed primarily on North America, Europe, and Australia. Hence, physiology can influence movement, but undersampling and bias currently limits general conclusions.
Details
- Title
- Physiology can predict animal activity, exploration, and dispersal
- Authors/Creators
- Nicholas Wu - The University of SydneyFrank Seebacher - The University of Sydney
- Publication Details
- Communications Biology, Vol.5(1), 109
- Publisher
- NATURE PORTFOLIO
- Number of pages
- 11
- Identifiers
- 991005776033007891
- Copyright
- © The Author(s) 2022
- Murdoch Affiliation
- Centre for Terrestrial Ecosystem Science and Sustainability; School of Environmental and Conservation Sciences
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.35 Zoology & Animal Ecology
- 3.35.434 Sexual Selection
- Web Of Science research areas
- Biology
- ESI research areas
- Biology & Biochemistry