DI-UMONS : Dépôt institutionnel de l’université de Mons

Recherche transversale
(titres de publication, de périodique et noms de colloque inclus)
2006-06-27 - Colloque/Présentation - communication orale - Anglais - 1 page(s)

Kell Laurence, Grosjean Philippe , Mosqueria I., Fromentin J-M., Jardim E., Hillary R., Mardle S., Poos J.J., Scott R., "FLR: an open source fisheries library or framework for the evaluation of management strategies" in ICES Symposium on Management Strategies, Galway, Ireland, 2006

  • Codes CREF : Océanographie biologique (DI3191), Statistique appliquée (DI1133)
  • Unités de recherche UMONS : Ecologie numérique des milieux aquatiques (S807)
  • Instituts UMONS : Institut de Recherche sur les Systèmes Complexes (Complexys)
Texte intégral :

Abstract(s) :

(Anglais) Four major challenges facing fisheries scientists and managers were identified by Peterman (2004), i.e. 1. Uncertainties and the associated risks they create. 2. Difficulties in estimating probabilities within stock assessments. 3. Provision of advice that comprehensively takes into account uncertainties and risks. 4. Effective communication of complex and technical results by scientists to decision makers and the public. The FLR initiative attempts to address all of these by allowing a variety of fishery, biological and economic models and algortihms to be implemented in a common framework. In this way, contrasting management strategies and procedures can be compared and evaluated for their respective effectiveness and robustness to uncertainty before implementation. The paper describes the philosophy behind FLR and its design, and illustrates its use within a variety of EU projects. The importance of open source is also discussed in promoting transparency and allowing technology transfer between disciplines and researchers.

Mots-clés :
  • (Anglais) open source
  • (Anglais) R statistical language
  • (Anglais) risk
  • (Anglais) bioeconomic
  • (Anglais) uncertainty
  • (Anglais) management
  • (Anglais) evaluation