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An introduction to FLR fisheries simulation tools

Published online by Cambridge University Press:  17 June 2009

Richard Hillary
Richard Hillary*
Affiliation:
Division of Biology, Imperial College, Ascot, SL5 7PL, UK
*
r.hillary@imperial.ac.uk
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Abstract

Fisheries libraries in R (FLR) is an open-source software framework based in the R statistical software environment, with the main purpose of allowing for the efficient simulation and evaluation of fisheries management strategies. This paper details a generic (non-spatial) biological operating model used to simulate populations and their reaction to fishing, and an observation error model and methods for simulating structured sampling/observation error and bias in key fisheries assessment indices. It also contains the details of how the candidate harvest control rules, based on survey-derived information, can be characterised and implemented, and how the processes of management strategy evaluation and stock assessment can be included in the simulations.

Keywords

Management strategy evaluationFishery-independent dataObservation error modelHarvest control rulesFLR

Information

Type
Research Article
Information
Aquatic Living Resources , Volume 22 , Issue 2: Fish Stock Assessments Using Surveys and Indicators , April 2009 , pp. 225 - 232
Copyright
© EDP Sciences, IFREMER, IRD, 2009

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