Scaling of Activity Space in Marine Organisms across Latitudinal Gradients.

Brownian bridge kernel utilization distribution (KUD) Integrated Marine Observing System (IMOS) acoustic telemetry continental network metabolic theory spatial ecology

Journal

The American naturalist
ISSN: 1537-5323
Titre abrégé: Am Nat
Pays: United States
ID NLM: 2984688R

Informations de publication

Date de publication:
04 2023
Historique:
entrez: 23 3 2023
pubmed: 24 3 2023
medline: 28 3 2023
Statut: ppublish

Résumé

AbstractUnifying models have shown that the amount of space used by animals (e.g., activity space, home range) scales allometrically with body mass for terrestrial taxa; however, such relationships are far less clear for marine species. We compiled movement data from 1,596 individuals across 79 taxa collected using a continental passive acoustic telemetry network of acoustic receivers to assess allometric scaling of activity space. We found that ectothermic marine taxa do exhibit allometric scaling for activity space, with an overall scaling exponent of 0.64. However, body mass alone explained only 35% of the variation, with the remaining variation best explained by trophic position for teleosts and latitude for sharks, rays, and marine reptiles. Taxon-specific allometric relationships highlighted weaker scaling exponents among teleost fish species (0.07) than sharks (0.96), rays (0.55), and marine reptiles (0.57). The allometric scaling relationship and scaling exponents for the marine taxonomic groups examined were lower than those reported from studies that had collated both marine and terrestrial species data derived using various tracking methods. We propose that these disparities arise because previous work integrated summarized data across many studies that used differing methods for collecting and quantifying activity space, introducing considerable uncertainty into slope estimates. Our findings highlight the benefit of using large-scale, coordinated animal biotelemetry networks to address cross-taxa evolutionary and ecological questions.

Identifiants

pubmed: 36958006
doi: 10.1086/723405
doi:

Banques de données

Dryad
['10.5061/dryad.h70rxwdmx']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

586-602

Auteurs

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Classifications MeSH