Length estimation of Atlantic bluefin tuna (Thunnus thynnus) using vertebrae

Atlantic bluefin tuna (Thunnus thynnus; BFT) is a large (up to 3.3 m in length) pelagic predator which has been exploited throughout the eastern Atlantic and Mediterranean since prehistoric times, as attested by its archeological remains. One key insight derivable from these remains is body size, which can indicate past fishing abilities, the impact of fishing, and past migration behavior. Despite this, there exists no reliable method to estimate the size of BFT found in archeological sites. Here, 13 modern Thunnus spp. skeletons were studied to provide power regression equations that estimate body length from vertebra dimensions. In modern specimens, the majority of BFT vertebrae can be differentiated by their morphological features, and thus, individual regression equations can be applied for each rank (position in vertebral column). In an archeological context, poor preservation may limit one's ability to identify rank; hence, types of vertebrae were defined, which enable length estimates when rank cannot be determined. At least one vertebra dimension, height, width, or length correlated highly with body length when vertebrae were ranked (R-2 > 0.97) or identified to types (R-2 > 0.98). Whether using rank or type, length estimates appear accurate to approximately +/- 10%. Finally, the method was applied to a sample of Roman-era BFT vertebrae to demonstrate its potential. It is acknowledged that further studies with larger sample sizes would provide more precision in BFT length estimates.

Automated summary

Atlantic bluefin tuna has been exploited since prehistoric times, and its body size can provide information on fishing abilities, impact, and migration behavior. However, there is currently no reliable method to estimate the size of bluefin tuna found in archaeological sites. This study provides a method to estimate body length from vertebra dimensions using power regression equations. The method is accurate to approximately +/- 10% and has the potential to be applied to archaeological remains.