Bio-economic management strategy evaluation of deepwater stocks using the FLBEIA model. Garcia, D., Urtizberea, A., Diez, G., Gil, J., & Marchal, P. AQUATIC LIVING RESOURCES, 26(4):365-U3382, EDP SCIENCES S A, 17, AVE DU HOGGAR, PA COURTABOEUF, BP 112, F-91944 LES ULIS CEDEX A, FRANCE, OCT, 2013.
doi  abstract   bibtex   
Deepwater fish are characterized by long lifespans, late maturity and low productivity. This implies slow recovery from low biomass levels and it is, therefore, important to manage these stocks correctly to avoid overfishing. However, these stocks are generally data poor, which it makes difficult to apply quantitative assessment models on which to base their management. The management strategy evaluation (MSE) approach consists in evaluating the performance of management strategies by simulation before their implementation. In the evaluation, the main sources of uncertainty in a fishery system and its management process should be taken into account in order to find robust management strategies. Thus, the MSE approach is relevant to the management of data-poor stocks. We used the FLBEIA software, an FLR library coded in the R statistical language, to conduct a bio-economic impact assessment of fisheries management strategies. We evaluated the performance of several management strategies in three different deepwater case studies using the MSE approach: beaked redfish (Sebastes mentella) in the Norwegian Sea, blackspot seabream (Pagellus bogaraveo) in the Strait of Gibraltar, and French mixed deepwater fisheries in the North East Atlantic. In conclusion, we found that the S. mentella stock is very sensitive to the stock recruitment relationship chosen. For P. bogaraveo, simulations showed that the present constant catch management is as good as more sophisticated strategies. Finally, in mixed fisheries, case study fleet dynamics were key for the success of management strategies
@article{ ISI:000328896400010,
Author = {Garcia, Dorleta and Urtizberea, Agurtzane and Diez, Guzman and Gil, Juan
   and Marchal, Paul},
Title = {{Bio-economic management strategy evaluation of deepwater stocks using
   the FLBEIA model}},
Journal = {{AQUATIC LIVING RESOURCES}},
Year = {{2013}},
Volume = {{26}},
Number = {{4}},
Pages = {{365-U3382}},
Month = {{OCT}},
Abstract = {{Deepwater fish are characterized by long lifespans, late maturity and
   low productivity. This implies slow recovery from low biomass levels and
   it is, therefore, important to manage these stocks correctly to avoid
   overfishing. However, these stocks are generally data poor, which it
   makes difficult to apply quantitative assessment models on which to base
   their management. The management strategy evaluation (MSE) approach
   consists in evaluating the performance of management strategies by
   simulation before their implementation. In the evaluation, the main
   sources of uncertainty in a fishery system and its management process
   should be taken into account in order to find robust management
   strategies. Thus, the MSE approach is relevant to the management of
   data-poor stocks. We used the FLBEIA software, an FLR library coded in
   the R statistical language, to conduct a bio-economic impact assessment
   of fisheries management strategies. We evaluated the performance of
   several management strategies in three different deepwater case studies
   using the MSE approach: beaked redfish (Sebastes mentella) in the
   Norwegian Sea, blackspot seabream (Pagellus bogaraveo) in the Strait of
   Gibraltar, and French mixed deepwater fisheries in the North East
   Atlantic. In conclusion, we found that the S. mentella stock is very
   sensitive to the stock recruitment relationship chosen. For P.
   bogaraveo, simulations showed that the present constant catch management
   is as good as more sophisticated strategies. Finally, in mixed
   fisheries, case study fleet dynamics were key for the success of
   management strategies}},
Publisher = {{EDP SCIENCES S A}},
Address = {{17, AVE DU HOGGAR, PA COURTABOEUF, BP 112, F-91944 LES ULIS CEDEX A,
   FRANCE}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Garcia, D (Reprint Author), AZTI Tecnalia, Div Marine Res, Txatxarramendi S-N, Sukarrieta 48395, Bizkaia, Spain.
   Garcia, Dorleta; Urtizberea, Agurtzane; Diez, Guzman, AZTI Tecnalia, Div Marine Res, Sukarrieta 48395, Bizkaia, Spain.
   Gil, Juan, Ctr Oceanog Cadiz, Inst Espanol Oceanog, Cadiz 11006, Spain.
   Marchal, Paul, IFREMER, Channel \& North Sea Fisheries Dept, F-62321 Boulogne Sur Mer, France.}},
DOI = {{10.1051/alr/2013069}},
ISSN = {{0990-7440}},
EISSN = {{1765-2952}},
Keywords = {{Bio-economic modelling; Deep-sea fisheries; Harvest control rules;
   Management strategy evaluation; Norway; Bay of Biscay; Gibraltar;
   Atlantic Ocean}},
Keywords-Plus = {{MIXED-FISHERIES; NORTHEAST ATLANTIC; SEBASTES-MENTELLA; FLEET DYNAMICS;
   SEA; FRAMEWORK; REDFISH; POPULATIONS; BEHAVIOR; LESSONS}},
Research-Areas = {{Fisheries; Marine \& Freshwater Biology}},
Web-of-Science-Categories  = {{Fisheries; Marine \& Freshwater Biology}},
Author-Email = {{dgarcia@azti.es}},
ORCID-Numbers = {{Marchal, Paul/0000-0003-2047-4599}},
Funding-Acknowledgement = {{Commission of the European Communities under the DEEPFISHMAN {[}227390];
   Basque Country Government (Environment, Territorial Planning,
   Agriculture and Fisheries Department)}},
Funding-Text = {{This study was carried out with financial support from the Commission of
   the European Communities under the DEEPFISHMAN project (Grant agreement
   No. 227390) and from the Basque Country Government (Environment,
   Territorial Planning, Agriculture and Fisheries Department). The authors
   are very grateful to Fernando Gonzalez from Instituto Espanol de
   Oceanografia (Vigo, Spain), Sonia Sanchez and Eider Andonegi from
   AZTI-Tecnalia (Spain) and Benjamin Planque from Institute of Marine
   Research (Norway) for their valuable help in P. bogaraveo and S.
   mentella case studies. This is paper number 631 from the Marine Research
   Division (AZTI-Tecnalia).}},
Number-of-Cited-References = {{44}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{25}},
Journal-ISO = {{Aquat. Living Resour.}},
Doc-Delivery-Number = {{278NG}},
Unique-ID = {{ISI:000328896400010}},
OA = {{No}},
DA = {{2017-08-17}},
}
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