Our objective is to develop a fuller understanding of the environmental influences on otolith growth, leading to a new protocol for estimating fish age. Focusing primarily in gadiform otoliths, we will use known-age material to develop artificial neural network models of age.
Otolith growth models will be integrated with results from new laboratory and field investigations to improve the objective basis for interpreting seasonal and non-seasonal growth structures. We will work on hake and cod representing a large proportion of the European fisheries in value and volume. As such, this proposal will improve the confidence and reliability of the scientific data used to underpin management of sustainable fisheries.
This project is a co-operative venture to improve our understanding of the biological basis of age estimation for commercial fish species.
Call for proposal