@inproceedings{fdi:010072111,
  title = {{S}tate-space hierarchical models for predator-prey relationships and abundance estimates [r{\'e}sum{\'e}]},
  author = {{B}abou, {D}.{A}. and {B}raham, {C}.{B}. and {B}ez, {N}icolas},
  editor = {},
  language = {{ENG}},
  abstract = {{S}cientific monitoring of fishery resources is difficult or, in some cases, impossible or too costly. {W}hen completed, they provide only one (or two) biomass estimate per year. {T}he development of approaches based on interpreting vessel behavior to infer prey abundance would provide a reliable alternative to provide in-real-time indices of abundance and better describe activity and identify the effort to which the resources are subject. {T}his poster aims to present the development of {M}arkovian and semi-{M}arkovian hierarchical models in state space by using {VMS} ({V}essel {M}onitoring {S}ystem) data. {O}nce trajectories are interpreted, they can be used to fine-tune the activities carried out by ships during their tides and to validate these estimates by observing data. {T}he domains of application of these models range from the determination of abundance indices to the mapping of prey distributions (target species). {T}he 5-state model (fishing, day-trip, night-time and night-road), developed here, allows for night data ignored by other two- or three-state models. {T}hus, the total effort becomes quantifiable.},
  keywords = {{SENEGAL} ; {ATLANTIQUE}},
  numero = {},
  pages = {42},
  booktitle = {{I}nternational conference {ICAWA} 2016 : extended book of abstract : the {AWA} project : ecosystem approach to the management of fisheries and the marine environment in {W}est {A}frican waters},
  year = {2017},
  ISBN = {978-2-9553602-0-5},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072111},
}