-Bycatch of several groups of species and their characteristics are presented for the period 2003 to 2007 for the European purse seine tuna fishery operating in the Atlantic Ocean. Data were collected through French and Spanish observer programmes and represented a total of 27 trips corresponding to 2.9% coverage. Bycatch is defined as nontargeted species and small or damaged target species. Bycatch species composition, main species length, sex ratio and the fate of the most common species are presented first. Stratified ratios relative to landings of major commercial tunas were then used to estimate the total bycatch; these ratios were considered the most appropriate variable for extrapolation. Stratification was based on the fishing mode (free school vs. floating object), season (quarters) and spatial areas. The annual average bycatch was estimated at about 6400 t, corresponding to a mean annual value of 80.8 t per 1000 t of tuna landed or 7.5% of the total catch. Tunas represent 83% (67.2 t/1000 t) of the total bycatch, followed by other bony fishes (10%, 7.8 t/1000 t), billfishes (5%, 4.0 t/1000 t), sharks (1%, 0.9 t/1000 t) and rays (1%, 0.9 t/1000 t). Based on estimates of the annual bycatch, 16% was kept on board and sold in local markets.Key words: Bycatch / Discards / Tuna fisheries / Purse seining / Atlantic Ocean Résumé -Les quantités de captures accessoires de plusieurs groupes d'espèces ainsi que leurs caractéristiques sont présentées pour la pêcherie thonière européenne à la seine opérant dans l'océan Atlantique pour la période [2003][2004][2005][2006][2007]. Les données ont été collectées lors de programmes d'observateurs embarqués français et espagnols représentant un total de 27 marées soit un taux de couverture de 2,9 % des marées totales. Les captures accessoires sont définies ici comme les espèces non ciblées ainsi que les individus petits ou abîmés des espèces-cibles. La composition spécifique des captures accessoires, la structure de taille des principales espèces, le sex-ratio et le devenir des espèces les plus communes sont présentés. La méthode des ratios par rapport aux débarquements d'espèces commerciales est ensuite utilisée pour estimer la quantité totale de capture accessoire. Ces ratios ont été considérés comme la variable la plus appropriée pour l'extrapolation. Une stratification a été utilisée, basée sur le mode de pêche (pêche sur banc libre versus pêche sur objet flottant), le trimestre et les zones spatiales. La quantité de capture accessoire annuelle moyenne est estimée à 6400 t, correspondant à une valeur annuelle moyenne de 80,8 t par 1000 t de thons commercialisés ou 7,5 % de la capture totale. Les thons représentent 83 % (67,2 t/1000 t) du total des captures accessoires suivis par les autres poissons osseux (10 % ; 7,8 t/1000 t), les poissons porte-épées (5 % ; 4,0 t/1000 t), les requins (1 % ; 0,9 t/1000 t) et les raies (1 % ; 0,9 t/1000 t). On estime que 16 % de ces captures accessoires est conservé à bord et vendu sur le marché local.

Since the mid-1990s, drifting Fish Aggregating Devices (dFADs), artificial floating objects designed to aggregate fish, have become an important mean by which purse seine fleets catch tropical tunas. Mass deployment of dFADs, as well as the massive use of GPS buoys to track dFADs and natural floating objects, has raised serious concerns for the state of tropical tuna stocks and ecosystem functioning. Here, we combine tracks from a large proportion of the French GPS buoys from the Indian and Atlantic oceans with data from observers aboard French and Spanish purse seiners and French logbook data to estimate the total number of dFADs and GPS buoys used within the main fishing grounds of these two oceans over the period 2007–2013. In the Atlantic Ocean, the total number of dFADs increased from 1175 dFADs active in January 2007 to 8575 dFADs in August 2013. In the Indian Ocean, this number increased from 2250 dFADs in October 2007 to 10 300 dFADs in September 2013. In both oceans, at least a fourfold increase in the number of dFADs was observed over the 7-year study period. Though the relative proportion of natural to artificial floating objects varied over space, with some areas such as the Mozambique Channel and areas adjacent to the mouths of the Niger and Congo rivers being characterized by a relatively high percentage of natural objects, in no region do dFADs represent <50% of the floating objects and the proportion of natural objects has dropped over time as dFAD deployments have increased. Globally, this increased dFAD use represents a major change to the pelagic ecosystem that needs to be closely followed in order to assess its impacts and avoid negative ecosystem consequences.

Amandè, M. J., Chassot, E., Chavance, P., Murua, H., Delgado de Molina, A., and Bez, N. 2012. Precision in bycatch estimates: the case of tuna purse-seine fisheries in the Indian Ocean. – ICES Journal of Marine Science, 69: . Estimating bycatch, i.e. the incidental catch of non-target marine animals and undersized individuals of target species, by raising observer data to the whole fishery is routine practice. The annual bycatch of the European tropical tuna purse-seine fishery over the period 2003–2009 was estimated at 11 590 t [95% confidence interval: (8165–15 818 t)], corresponding to 4.7% of the tuna landings. An analysis of the variability in the precision of this estimate, based on generalized linear models and Monte Carlo simulations, showed that the current sampling coverage of the tropical tuna fishery observer programme, which is 4.6% of the fishing trips, resulted in large uncertainties in bycatch estimates by species, i.e. none of the estimates have a relative root mean square error smaller than 50%. Although the overall magnitude of bycatch of the fishery appeared to be small, the current sampling coverage was insufficient to give any reliable estimate for low-occurring species, such as marine turtles, some oceanic pelagic sharks, and some billfishes. Increasing the sampling coverage would likely improve bycatch estimates. Simulation outputs were produced to help define (i) trade-offs between the priority species to be monitored, (ii) the estimation precision, (iii) expected accuracy, and (iv) the associated sampling costs.