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Article (Scientific journals)
FLR: an open-source framework for the evaluation and development of management strategies
Kell, L.T.; Mosqueria, I.; Grosjean, Philippe  et al.
2007 • In ICES Journal of Marine Science, 64 (4), p. 640-646
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Keywords :
[en] open-source; [en] software; [en] bio-economic; [en] simulation framework; [en] uncertainty; [en] management strategy evaluation; [en] stock assessment; [en] precautionary approach; [en] modelling
Abstract :
[en] The FLR framework (Fisheries Library for R) is a development effort directed towards the evaluation of fisheries management strategies. The overall goal is to develop a common framework to facilitate collaboration within and across disciplines (e.g. biological, ecological, statistical, mathematical, economic, and social) and, in particular, to ensure that new modelling methods and software are more easily validated and evaluated, as well as becoming widely available once developed. Specifically, the framework details how to implement and link a variety of fishery, biological, and economic software packages so that alternative management strategies and procedures can be evaluated for their robustness to uncertainty before implementation. The design of the framework, including the adoption of object-orientated programming, its feasibility to be extended to new processes, and its application to new management approaches (e.g. ecosystem affects of fishing), is discussed. The importance of open source for promoting transparency and allowing technology transfer between disciplines and researchers is stressed.
Disciplines :
Phytobiology (plant sciences, forestry, mycology...)
Author, co-author :
Kell, L.T.
Mosqueria, I.
Grosjean, Philippe ;  Université de Mons > Faculté des Sciences > Service d'Ecologie numérique
Fromentin, J-M.
Garcia, D.
Hillary, R.
Jardim, E.
Mardle, S.
Pastoors, M.
Poos, J.J.
Scott, F.
Scott, R. D.
Language :
Title :
FLR: an open-source framework for the evaluation and development of management strategies
Publication date :
02 January 2007
Journal title :
ICES Journal of Marine Science
Publisher :
Oxford University Press, United Kingdom
Volume :
Issue :
Pages :
Peer reviewed :
Peer Reviewed verified by ORBi
Research unit :
S807 - Ecologie numérique
Research institute :
R150 - Institut de Recherche sur les Systèmes Complexes


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