Document généré le 17/03/2026 depuis l'adresse: https://www.documentation.eauetbiodiversite.fr/fr/notice/target-strength-estimates-of-red-emperor
Permalien: https://www.documentation.eauetbiodiversite.fr/fr/notice/target-strength-estimates-of-red-emperor
Titre alternatif
Producteur
Contributeur(s)
Éditeur(s)
EDP Sciences
Identifiant documentaire
10-dkey/10.1051/alr/2016024
Identifiant OAI
oai:edpsciences.org:dkey/10.1051/alr/2016024
Auteur(s):
Sven Gastauer,Ben Scoulding,Sascha M.M. Fässler,Daniel P.L.D. Benden,Miles Parsons
Mots clés
Target Strength
Bayesian inference
KRM
vessel of opportunity
Fisheries acoustics
Lutjanus sebae
Date de publication
10/10/2016
Date de création
Date de modification
Date d'acceptation du document
Date de dépôt légal
Langue
en
Thème
Type de ressource
Source
https://doi.org/10.1051/alr/2016024
Droits de réutilisation
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Description
Red emperor (Lutjanus sebae) is a long-lived tropical demersal snapper
which is widely distributed in the Western Pacific and Indian Ocean. Despite the
commercial and recreational importance of the species for the Northern Demersal Scalefish
Fishery off the Northwest coast of Western Australia, we still lack a thorough
understanding of its distribution and abundance in the area. To better understand the
acoustic scattering properties of red emperor its acoustic backscattering characteristics
were modelled based on swimbladder and body morphology, determined using computed
tomography scans. A Kirchhoff-ray mode approximation was coupled with empirical (ex situ)
measurements of target strength (TS) obtained from a 38 and 120 kHz split-beam echosounder
on board a fishing vessel. Bayesian methods were used for model parameter calibration,
which provided uncertainty estimates for some of the TS-model parameters. The derived
TS-length relationships were 19.7log 10(L) – 75.5 (C.I. 5.9 dB) at 120 kHz and 14.6
log10(L) – 64.9
(C.I. 5.8 dB) at 38 kHz. The study demonstrated that small commercial fishing vessels can
be used to conduct ex situ experiments and target strength modelling can be effectively
based on computer tomography scans. This relatively low cost approach could be applied to
other species.
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