FN Archimer Export Format
PT J
TI A methodological framework for characterizing fish swimming and escapement behaviors in trawls
BT 
AF Robert, Marianne
   Cortay, Aurore
   Morfin, Marie
   SIMON, Julien
   Morandeau, Fabien
   Deneubourg, Jean Louis
   Vincent, Benoit
AS 1:1;2:1;3:1;4:1;5:1;6:2;7:1;
FF 1:PDG-RBE-STH-LTBH;2:PDG-RBE-STH-LTBH;3:PDG-RBE-STH-LTBH;4:PDG-RBE-STH-LTBH;5:PDG-RBE-STH-LTBH;6:;7:PDG-RBE-STH-LTBH;
C1 Ifremer, LTBH (Laboratory of Fisheries Technology and Biology), Lorient, France.
   Center for Nonlinear Phenomena and Complex Systems, Université libre de Bruxelles, Bruxelles, Belgium.
C2 IFREMER, FRANCE
   UNIV LIBRE BRUXELLES, BELGIUM
SI LORIENT
SE PDG-RBE-STH-LTBH
IN WOS Ifremer UPR
   DOAJ
   copubli-europe
IF 3.24
TC 7
UR https://archimer.ifremer.fr/doc/00663/77553/79457.pdf
   https://archimer.ifremer.fr/doc/00663/77553/79460.docx
   https://archimer.ifremer.fr/doc/00663/77553/79461.docx
   https://archimer.ifremer.fr/doc/00663/77553/79463.docx
   https://archimer.ifremer.fr/doc/00663/77553/79464.docx
LA English
DT Article
AB Knowledge about fish behavior is crucial to be able to influence the capture process and catch species composition. The rapid expansion of the use of underwater cameras has facilitated unprecedented opportunities for studying the behavior of species interacting with fishing gears in their natural environment. This technological advance would greatly benefit from the parallel development of dedicated methodologies accounting for right-censored observations and variable observation periods between individuals related to instrumental, environmental and behavioral events. In this paper we proposed a methodological framework, based on a parametric Weibull mixture model, to describe the process of escapement attempts through time, test effects of covariates and estimate the probability that a fish will attempt to escape. We additionally proposed to better examine the escapement process at the individual level with regard to the temporal dynamics of escapement over time. Our approach was used to analyze gadoids swimming and escapement behaviors collected using a video set up in front of a selective device known to improve selectivity on gadoids in the extension of a bottom trawl. Comparison of the fit of models indicates that i) the instantaneous rate of escape attempts is constant over time and that the escapement process can be modelled using an exponential law; ii) the mean time before attempting to escape increases with the increasing number of attempts; iii) more than 80% of the gadoids attempted to escape through the selective device; and iv) the estimated probability of success was around 15%. Effects of covariates on the probability of success were investigated using binomial regression but none of them were significant. The data set collected is insufficient to make general statements, and further observations are required to properly investigate the effect of intrinsic and extrinsic factors governing gadoids behavior in trawls. This methodology could be used to better characterize the underlying behavioral process of fish in other parts of a bottom trawl or in relation to other fishing gears. 
PY 2020
PD DEC
SO Plos One
SN 1932-6203
PU Public Library of Science (PLoS)
VL 15
IS 12
UT 000600144200016
DI 10.1371/journal.pone.0243311
ID 77553
ER

EF