A Bayesian length-based population dynamics model for northern shrimp (Pandalus Borealis)

TL;DR

This paper presents a Bayesian length-based model for northern shrimp population dynamics, enabling direct observation-based analysis without age estimation, demonstrated through a case study of North Sea populations from 1988-2012.

Contribution

It introduces a novel Bayesian length-based population model that simplifies analysis by avoiding age estimation, serving as a prototype for future refinements.

Findings

Effective modeling of northern shrimp populations

Application to Skagerrak and Norwegian Deep data

Potential for improved fisheries management

Abstract

We introduce a fully length-based Bayesian model for the population dynamics of northern shrimp (Pandalus Borealis). This has the advantage of structuring the population in terms of a directly observable quantity, requiring no indirect estimation of age distributions from measurements of size. The introduced model is intended as a simplistic prototype around which further developments and refinements can be built. As a case study, we use the model to analyze the population of Skagerrak and the Norwegian Deep in the years 1988-2012.