Auteur  |
Titre |
Année |
Publication |
Volume |
Pages |
| Baidai, Y.; Dagorn, L.; Amande, M.J.; Gaertner, D.; Capello, M. |
Machine learning for characterizing tropical tuna aggregations under Drifting Fish Aggregating Devices (DFADs) from commercial echosounder buoys data |
2020 |
|
229 |
105613 |
| Bonnin, L.; Lett, C.; Dagorn, L.; Filmalter, J.D.; Forget, F.; Verley, P.; Capello, M. |
Can drifting objects drive the movements of a vulnerable pelagic shark? |
2020 |
|
|
|
| Dortel, E.; Pecquerie, L.; Chassot, E. |
A Dynamic Energy Budget simulation approach to investigate the eco-physiological factors behind the two-stanza growth of yellowfin tuna (Thunnus albacares) |
2020 |
|
437 |
109297 |
| Dueri, S.; Bopp, L.; Maury, O. |
Projecting the impacts of climate change on skipjack tuna abundance and spatial distribution |
2014 |
|
20 |
742-753 |
| Dueri, S.; Maury, O. |
Modelling the effect of marine protected areas on the population of skipjack tuna in the Indian Ocean |
2013 |
|
26 |
171-178 |
