Decoding burst swimming performance: a scaling perspective on time-to-fatigue.

burst swimming fatigue curve fish locomotion scaling swimming performance time-to-fatigue

Journal

Journal of the Royal Society, Interface
ISSN: 1742-5662
Titre abrégé: J R Soc Interface
Pays: England
ID NLM: 101217269

Informations de publication

Date de publication:
Oct 2024
Historique:
medline: 3 10 2024
pubmed: 3 10 2024
entrez: 1 10 2024
Statut: ppublish

Résumé

Fatigue curves quantify fish swimming performance, providing information about the time ([Formula: see text]) fish can swim against a steady flow velocity (

Identifiants

pubmed: 39353564
doi: 10.1098/rsif.2024.0276
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20240276

Subventions

Organisme : H2020 Marie Skłodowska-Curie Actions

Auteurs

Muhammad Usama Ashraf (MU)

Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, Italy.

Daniel Nyqvist (D)

Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, Italy.

Claudio Comoglio (C)

Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, Italy.

Vladimir Nikora (V)

Department of Engineering, University of Aberdeen, Aberdeen, Scotland, UK.

Andrea Marion (A)

Department of Industrial Engineering, Università di Padova, Padova, Italy.

Paolo Domenici (P)

CNR-IAS, Italian National Research Council, Institute of Anthropic Impacts and Sustainability in the Marine Environment, Oristano, Italy.
CNR-IBF, Institute of Biophysics, Pisa, Italy.

Costantino Manes (C)

Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, Italy.

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Classifications MeSH