SLU news

Improving models for the stock assessment of Baltic salmon and sea trout

Published: 05 October 2018

Population models are used in order to estimate the status for the Baltic salmon and sea trout stocks. Could parameter estimates in these models be improved by incorporating more and new knowledge of the ecology for the two species?

Stefan Skoglund, one of our PhD student at the department of aquatic resources, has just finished his introductory essay, covering the aspects of stock assessment and the scale of density dependence.

In Stefan’s PhD work, he will evaluate how we can use additional information of density-dependent processes for salmon and sea trout, based on existing data and new knowledge gained from experimental work, to potentially obtain more unbiased parameter estimates in the stock assessment models, in order to improve the potential for sustainable harvest of natural resources.

 Read more about this in Stefan Skoglunds introductory essay: Scales of density dependence: Implications for Baltic salmon (Salmo salar) and sea trout (Salmo trutta) stock assessment 


Contact

Stefan Skoglund, Doctoral Student
Department of Aquatic Resources, Institute of Freshwater Research, SLU
stefan.skoglund@slu.se, +46 10 478 45 44