FLR: an open-source framework for the evaluation and development of management strategies
| Type | Article | ||||||||
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| Date | 2007-05 | ||||||||
| Language | English | ||||||||
| Author(s) | Kell Laurence T.1, Mosqueira I2, Grosjean P3, Fromentin Jean-Marc 4, Garcia D2, Hillary R5, Jardim E6, Mardle S7, Pastoors M.A8, Poos J.J.8, Scott F1, Scott R1 |
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| Affiliation(s) | 1 : Cefas, Lowestoft Lab, Lowestoft NR33 0HT, Suffolk, England. 2 : AZTI Tecnalia, Marine Research Division, Txatxarramendi ugartea z/g, 48395 Sukarrieta, Bizkaia, Spain 3 : Univ Mons 8, B-7000 Mons, Belgium. 4 : IFREMER, Ctr Rech Halieut Mediterraneen & Trop, F-34203 Sete, France. 5 : Imperial Coll, Dept Biol, London SW7 2BP, England. 6 : IPIMAR, P-1449006 Lisbon, Portugal. 7 : Univ Portsmouth, CEMARE, Portsmouth PO1 3LJ, Hants, England. 8 : Wageningen IMARES, NL-1970 AB Ijmuiden, Netherlands. |
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| Source | ICES Journal of Marine Science (1054-3139) (Oxford university press), 2007-05 , Vol. 64 , N. 4 , P. 640-646 | ||||||||
| DOI | 10.1093/icesjms/fsm012 | ||||||||
| WOS© Times Cited | 157 | ||||||||
| Keyword(s) | Uncertainty, Stock assessment, Software, Simulation framework, Precautionary approach, Open source, Management strategy evaluation, Bio economic modelling | ||||||||
| Abstract | 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. | ||||||||
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