@inproceedings{fdi:010085797,
  title = {{S}tandardisation of yellowfin tuna {CPUE} for the {EU} purse seine fleet operating in the {I}ndian {O}cean},
  author = {{K}atara, {I}. and {G}aertner, {D}aniel and {M}arsac, {F}rancis and {G}rande, {M}. and {K}aplan, {D}avid and {U}rtizberea, {A}. and {G}uery, {L}orele{\¨ie} and {D}epetris, {M}athieu and {D}uparc, {A}ntoine and {F}loch, {L}aurent and {L}opez, {J}. and {A}bascal, {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {EU} purse seine fleet catches of yellowfin tuna ({T}hunnus albacares) from the {I}ndian {O}cean were standardized using the framework described in {K}atara et al. (2016, 2017) with a {D}elta-lognormal generalised linear mixed model developed specifically for the standardisation of tropical tuna catch per unit effort ({CPUE}) time series. {W}ith the aim to depict the trend in abundance for adults and for juveniles yellowfin separately, the {CPUE} time series were treated by fishing mode: free school ({FSC}) sets and sets associated with floating objects ({FOB}s). {CPUE} for {FSC} was defined as the catch per hour of large yellowfin tuna (> 10 kg). {F}or {FOB}s sets (i.e., d{FAD} and log sets), {CPUE} was defined as the catch per positive set of small yellowfin tuna (<10 kg) - a positive set defined as a set with small yellowfin catches > 0 . {D}ue to the availability of covariates that likely affect them, the time series considered were 1986-2017 and 2010-2017 for {FSC} and {FOB}, respectively. . {I}n both cases, the least absolute shrinkage and selection operator method ({LASSO}) was applied for model selection. {A} step forward compared to previous years was the inclusion of environmental variables known to affect catchability. {A}nother improvement is the availability of information on d{FAD} densities, i.e. densities of {FOB}s with transmitting buoys. {T}his standardization of yellowfin tunas {CPUE} for the {E}uropean purse seiners in the {I}ndian {O}cean, therefore, represents a significant advance over previous efforts, having used the most recently available data on nontraditional explanatory factors, particularly on d{FAD} density. {N}evertheless, several avenues for future progress are noted in the discussion, such as further improvements in d{FAD} density estimates and inclusion of additional or different explanatory variables to best represent the impacts of fishery change on {CPUE}.},
  keywords = {{OCEAN} {INDIEN}},
  numero = {{IOTC}-2018-{WPTT}20-36_{R}ev1},
  pages = {23  multigr.},
  booktitle = {20{\`e}me groupe de travail sur les thons tropicaux},
  year = {2018},
  URL = {https://www.documentation.ird.fr/hor/fdi:010085797},
}