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Issue Aquat. Living Resour.
Volume 22, Number 2, April-June 2009
Fish Stock Assessments Using Surveys and Indicators
Page(s) 225 - 232
DOI 10.1051/alr/2009023
Published online 17 June 2009

Aquat. Living Resour. 22 (2009) 225-232
DOI: 10.1051/alr/2009023

An introduction to FLR fisheries simulation tools

Richard Hillary

Division of Biology, Imperial College, Ascot, SL5 7PL, UK

Received 27 August 2008; Accepted 8 April 2009; Published online 17 June 2009.

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.


Key words: Management strategy evaluation / Fishery-independent data / Observation error model / Harvest control rules / FLR

Corresponding author: r.hillary@imperial.ac.uk

© EDP Sciences, IFREMER, IRD 2009


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