Enregistrement 
Auteur 
Bach, P.; Gaertner, D.; Menkes, C.; Romanov, E.; Travassos, P. 
Titre 
Effects of the gear deployment strategy and current shear on pelagic longline shoaling 
Type 
Article scientifique 
Année 
2009 
Publication 

Revue Abrégée 
Fish Res. 
Volume 
95 
Numéro 

Pages 
5564 
MotsClés 
Generalized additive model (GAM); Generalized linear model (GLM); maximum fishing depth; monofilament pelagic longline; sag ratio; temperaturedepth recorders 
Résumé 
Historical longline catch per unit effort (CPUE) constitutes the major time series used in tuna stock assessment to followthe trend in abundance since the beginning of the largescale tuna fisheries. The efficiency and species composition of a longline fishing operations essentially depends on the overlap in the vertical and spatial distribution between hooks and species habitat. Longline catchability depends on the vertical distribution of hooks and the aim of our paper was to analyse principal factors affecting the deviation of observed longline hook depths from predicted values. Since observed hook depth is usually shallower than predicted, this deviation is called longline shoaling.We evaluate the accuracy of hook depth distribution estimated from a theoretical catenary model commonly used in longline CPUE standardizations. Temperaturedepth recorders (TDRs) were deployed on baskets of a monitored longline. Mainline shapes and maximum fishing depths were similar to gear configurations commonly used to target both yellowfin and bigeye tuna by commercial longliners in the central part of the South Pacific Ocean. Our working hypothesis assumes that the maximum fishing depth reached by the mainline depends on the gear configuration (sag ratio, mainline length per basket), the fishing tactics (bearing of the setting) and environmental variables characterizing water mass dynamics (wind stress, current velocity and shear). Based on generalized additive models (GAMs) simple transformations are proposed to account for the nonlinearity between the shoaling and explanatory variables. Then, generalized linear models (GLMs) were fit to model the effects of explanatory variables on the longline shoaling. Results indicated that the shoaling (absolute aswell as relative) was significantly influenced by (1) the shape of the mainline (i.e., the tangential angle), which is the strongest predictor, and (2) the current shear and the direction of setting. Geometric forcing (i.e. transverse versus inline) between the environment and the longline set is shown for the first time from in situ experimental fishing data. Results suggest that a catenary model that does not take these factors into consideration provides a biased estimate of the vertical distribution of hooks and must be used with caution in CPUEs standardization methods. Since catchability varies in time and space we discuss how suitable data could be routinely collected onboard commercial fishing vessels in order to estimate longline catchability for stock assessments.
© 2008 Elsevier B.V. All rights reserved.. 
Adresse 

Auteur institutionnel 

Thèse 

Editeur 

Lieu de Publication 

Éditeur 

Langue 
Eng 
Langue du Résumé 

Titre Original 

Éditeur de collection 

Titre de collection 

Titre de collection Abrégé 

Volume de collection 

Numéro de collection 

Edition 

ISSN 
01657836 
ISBN 

Médium 

Région 

Expédition 

Conférence 

Notes 

Approuvé 
pas de 
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