Eyes on the size: accuracy of visual length estimates of white sharks,

diver-operated video systems megafauna stereo-video measurements top predator visual estimation

Journal

Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528

Informations de publication

Date de publication:
May 2019
Historique:
received: 12 03 2019
accepted: 26 04 2019
entrez: 21 6 2019
pubmed: 21 6 2019
medline: 21 6 2019
Statut: epublish

Résumé

Visual estimates have been used extensively to determine the length of large organisms that are logistically challenging to measure. However, there has been little effort to quantify the accuracy or validity of this technique despite inaccurate size estimates leading to incorrect population assessments and misinformed management strategies. Here, we compared visually estimated total length measurements of white sharks,

Identifiants

pubmed: 31218071
doi: 10.1098/rsos.190456
pii: rsos190456
pmc: PMC6549950
doi:

Banques de données

figshare
['10.6084/m9.figshare.c.4498943']

Types de publication

Journal Article

Langues

eng

Pagination

190456

Déclaration de conflit d'intérêts

All authors have no competing interests.

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Auteurs

Cameron May (C)

Southern Shark Ecology Group, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia.

Lauren Meyer (L)

Southern Shark Ecology Group, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia.

Sasha Whitmarsh (S)

Southern Shark Ecology Group, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia.

Charlie Huveneers (C)

Southern Shark Ecology Group, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia.

Classifications MeSH