Aquat. Living Resour.
Volume 22, Number 2, April-June 2009
Fish Stock Assessments Using Surveys and Indicators
|Page(s)||225 - 232|
|Published online||17 June 2009|
An introduction to FLR fisheries simulation tools
Division of Biology, Imperial College, Ascot, SL5 7PL, UK
Corresponding author: firstname.lastname@example.org
Accepted: 8 April 2009
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
© EDP Sciences, IFREMER, IRD, 2009
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