@inproceedings{fdi:010067400,
  title = {{A} framework for the standardisation of tropical tuna purse seine {CPUE} : application to the yellowfin tuna in the {I}ndian {O}cean},
  author = {{K}atara, {I}. and {G}aertner, {D}aniel and {C}hassot, {E}mmanuel and {S}oto, {M}. and {A}bascal, {F}. and {F}onteneau, {A}lain and {F}loch, {L}aurent and {L}opez, {J}. and {C}ervantes, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}e revised the existing framework for tuna {CPUE} standardisation in light of the increasing literature that advocates the use of mixed effects models to account for the characteristics of logbook data. {W}e apply the framework on yellowfin tuna ({YFT}) from the {I}ndian {O}cean, caught by the purse seine {EU} fleet ({S}pain and {F}rance) from 1984 to 2015. {W}e used a comprehensive list of candidate covariates, including nonconventional covariates, and run exploratory models to assess the contribution of each covariate. {D}ue to the large number of covariates, the lasso – least absolute shrinkage and selection operator- method was applied for data mining and model selection purposes. {T}he results are two standardised {YFT} {CPUE} time series for the period 1984-2015, one for large fish caught in free-school related sets, and one for mainly juveniles caught in floating object related sets. {I}ssues on the usefulness of highly aggregated data (low resolution: annual and fleet wide) is discussed along with the need for more detailed information on the use of d{FAD}s, preferably at the level of a fishing trip.},
  keywords = {{OCEAN} {INDIEN} ; {FRANCE} ; {ESPAGNE}},
  numero = {{IOTC}-2016-{WPTT}18-24},
  pages = {16  multigr.},
  booktitle = {},
  year = {2016},
  URL = {https://www.documentation.ird.fr/hor/fdi:010067400},
}