Atlantic bluefin tuna (Thunnus thynnus) biometrics and condition

• Published in: PLOS ONE
• Main Authors: Rodriguez Marin, Enrique, Ortiz, Mauricio, De Urbina, José María Ortiz, Quelle, Pablo, Walter, John, Abid, Noureddine, ADDIS, PIERANTONIO, Alot, Enrique, Andrushchenko, Irene, Deguara, Simeon, Di Natale, Antonio, Gatt, Mark, Golet, Walter, Karakulak, Saadet, Kimoto, Ai, Macias, David, Saber, Samar, Santos, Miguel Neves, Zarrad, Rafik
• Other Authors: Addis, Pierantonio, Santos, Miguel Neve
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2015
• Subjects: Animal; Atlantic ocean; Feeding behavior; Fisherie; Mediterranean Sea; Tuna; Agricultural and biological sciences (all); Biochemistry; genetics and molecular biology (all); Medicine (all); North Atlantic
• Online Access: http://hdl.handle.net/11584/181869; https://doi.org/10.1371/journal.pone.0141478; http://www.plosone.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pone.0141478&representation=PDF

The compiled data for this study represents the first Atlantic and Mediterranean-wide effort to pool all available biometric data for Atlantic bluefin tuna (Thunnus thynnus) with the collaboration of many countries and scientific groups. Biometric relationships were based on an extensive sampling (over 140,000 fish sampled), covering most of the fishing areas for this species in the North Atlantic Ocean and Mediterranean Sea. Sensitivity analyses were carried out to evaluate the representativeness of sampling and explore the most adequate procedure to fit the weight-length relationship (WLR). The selected model for the WLRs by stock included standardized data series (common measurement types) weighted by the inverse variability. There was little difference between annual stock-specific round weight-straight fork length relationships, with an overall difference of 6% in weight. The predicted weight by month was estimated as an additional component in the exponent of the weight-length function. The analyses of monthly variations of fish condition by stock, maturity state and geographic area reflect annual cycles of spawning and feeding behavior. We update and improve upon the biometric relationships for bluefin currently used by the International Commission for the Conservation of Atlantic Tunas, by incorporating substantially larger datasets than ever previously compiled, providing complete documentation of sources and employing robust statistical fitting. WLRs and other tuna from the International Commission for the Conservation of Atlantic Tunas. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.