Publications des scientifiques de l'IRD

Dedah A.B., Bez Nicolas. (2017). Semi-Markov model for the inference of the trajectories of fishing boats : application to the VMS data of the French and pelagic tuna fleet of the ZEEM [résumé]. In : Brehmer Patrice (ed.), Ba B. (ed.), Kraus G. (ed.). International conference ICAWA 2016 : extended book of abstract : the AWA project : ecosystem approach to the management of fisheries and the marine environment in West African waters. Dakar : SRFC/CSRP ; IRD, p. 59. ICAWA : International Conference AWA, 3., Dakar (SEN), 2016/12/13-15. ISBN 978-2-9553602-0-5.

Titre du document
Semi-Markov model for the inference of the trajectories of fishing boats : application to the VMS data of the French and pelagic tuna fleet of the ZEEM [résumé]
Année de publication
2017
Type de document
Colloque
Auteurs
Dedah A.B., Bez Nicolas
In
Brehmer Patrice (ed.), Ba B. (ed.), Kraus G. (ed.) International conference ICAWA 2016 : extended book of abstract : the AWA project : ecosystem approach to the management of fisheries and the marine environment in West African waters
Source
Dakar : SRFC/CSRP ; IRD, 2017, p. 59 ISBN 978-2-9553602-0-5
Colloque
ICAWA : International Conference AWA, 3., Dakar (SEN), 2016/12/13-15
Analysis of VMS data could provide a reliable alternative for conducting pelagic stock assessments. For example, the fisheries community has been preparing GPS data for fishing vessels for some years. For the most part, the methods developed here are based on Markovian or semi-Markovian hierarchical models. This allowed us to show the informative potential of the VMS data. Once trajectories have been interpreted, these trajectories can be used to fine-tune fishing activities, as well as fish research activities when these phases are important for the trades concerned (large and small pelagics, for example). In this work, two semi-Markov models hidden to three and then five states were set up and validated using observational data to model the trajectories of tuna vessels in the Atlantic and Indian Oceans. These models yielded an estimate of the actual fishing effort deployed by the fleets concerned.
Plan de classement
Sciences du milieu [021] ; Ressources halieutiques [040] ; Télédétection [126]
Localisation
Fonds IRD [F A010071832]
Identifiant IRD
fdi:010072118
Contact