Orio, Alessandro
- Joint Research Centre, European Commission (JRC)
Abstract
This manuscript discusses the benefits of having a stock assessment model that is intuitively close to a linear model. It creates a case for the need of such models taking into account the increase in data availability and the expansion of stock assessment requests. We explore ideas around the assessment of large numbers of stocks and the need to make stock assessment easier to run and more intuitive, so that more scientists from diverse backgrounds can be involved. We show, as an example, the model developed under the European Commission Joint Research Center's 'Assessment for All' Initiative (a4a) and how it fits the a4a strategy of making stock assessment simpler and accessible to a wider group of scientists.
Keywords
ADMB; assessment model; a4a; knowledge base; linear model; R; statistical catch-at-age; stock assessment framework
Published in
ICES Journal of Marine Science
2015, volume: 72, number: 1, pages: 232-236
SLU Authors
UKÄ Subject classification
Fish and Aquacultural Science
Publication identifier
- DOI: https://doi.org/10.1093/icesjms/fsu050
Permanent link to this page (URI)
https://res.slu.se/id/publ/84165