Title: Bioeconomic Modelling for Fisheries
Authors: SCOTT FINLAYMOSQUEIRA SANCHEZ IAGO
Publisher: Publications Office of the European Union
Publication Year: 2016
JRC N°: JRC104842
ISBN: 978-92-79-64818-2
ISSN: 1831-9424
Other Identifiers: EUR 28383 EN
OP LB-NA-28383-EN-N
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC104842
DOI: 10.2788/722156
Type: EUR - Scientific and Technical Research Reports
Abstract: Current fisheries advice requires an increased consideration of bioeconomics and the interactions of fishing fleets with the biological stocks. This is particularly important when evaluating proposed multi-annual management plans. To achieve this, modelling tools need to be able to consider the dynamics of individual fisheries. This becomes more challenging with mixed fisheries when multiple species are caught by multiple fleets. A suitable balance needs to be found between replicating the details of the complex fishery system and simplifying a model to the level that makes it tractable but still useful. Much of the bioeconomic fisheries modelling work performed at the JRC uses the FLR software framework. The JRC has developed a new FLR package, FLasher, for performing projections and forecasts with multiple individual fisheries and multiple species. This allows the dynamics of mixed fisheries to be more accurately modelled and allows the evaluation of the economic performance of alternative management decisions. This document presents some of the features and capabilites of FLasher using a case study based on a semi-realistic flatfish fishery: two fleets with different selectiviuty patterns, bottom trawl and gillnet, catching two species with different life histories and maximum sizes, European plaice (Pleuronectes platessa) and common sole (Solea solea). FLasher expands the current modelling capabilities of FLR, allowing the impacts of proposed management plans to be evaluated in greater detail by (1) explicitly modelling the dynamics of each individual fleets, which could be affected in different ways by management, (2) forecasting in parallel the full species and fleet assemblage found in mixed fisheries, and (3) employing the latest iteration of the C++ language and a new library for automatic differentation.
JRC Directorate:Sustainable Resources

Files in This Item:
File Description SizeFormat 
lb-na-28383-en-n .pdf1.72 MBAdobe PDFView/Open


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.