Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-23T03:19:20.641Z Has data issue: false hasContentIssue false
  • English
  • Français

Bio-economic management strategy evaluation of deepwater stocks using the FLBEIA model⋆

Published online by Cambridge University Press:  19 December 2013

Dorleta Garcia ,
Agurtzane Urtizberea ,
Guzman Diez ,
Juan Gil  and
Paul Marchal
Dorleta Garcia*
Affiliation:
Marine Research Division, AZTI-Tecnalia, Txatxarramendi s/n, 48395 Sukarrieta, Bizkaia, Spain
Agurtzane Urtizberea
Affiliation:
Marine Research Division, AZTI-Tecnalia, Txatxarramendi s/n, 48395 Sukarrieta, Bizkaia, Spain
Guzman Diez
Affiliation:
Marine Research Division, AZTI-Tecnalia, Txatxarramendi s/n, 48395 Sukarrieta, Bizkaia, Spain
Juan Gil
Affiliation:
Instituto Español de Oceanografía Centro Oceanográfico de Cádiz, Puerto Pesquero, Muelle de Levante s/n, 11006 Cádiz, Spain
Paul Marchal
Affiliation:
IFREMER, Channel and North Sea Fisheries Department, BP 699, 62321 Boulogne-sur-mer, France
*
a Corresponding author: [email protected]
Get access

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

Keywords

Bio-economic modellingDeep-sea fisheriesHarvest control rulesManagement strategy evaluationNorwayBay of BiscayGibraltarAtlantic Ocean
Type
Research Article
Information
Aquatic Living Resources , Volume 26 , Issue 4 , October 2013 , pp. 365 - 379
Copyright
© EDP Sciences, IFREMER, IRD 2013

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

⋆

Supporting information is only available in electronic form at www.alr-journal.org

References

Bailey, D.M., Collins, M.A., Gordon, J.D.M., Zuur, A.F., Priede, I.G., 2009, Long-term changes in deep-water fish populations in the northeast Atlantic: a deeper reaching effect of fisheries? Proc. R. Soc. B 276, 1965–1969. CrossRefGoogle Scholar
Branch, T.A., Hilborn, R.W., Haynie, A.C., Fay, G., Flynn, L., Griffiths, J., Marshall, K.N., Scheuerell, J.M., Ward, E.J., 2006, Fleet dynamics and fishermen behavior: lessons for fisheries managers. Can. J. Fish. Aquat. Sci. 63, 1647–1668. CrossRefGoogle Scholar
Caddy J., 1998, A short review of precautionary reference points and some proposals for their use in data-poor situations. FAO Fisheries Technical Paper, Rome, No. 379.
Clark, M.R., 2009, Deep-sea seamount fisheries: a review of global status and future prospects Lat. Am. J. Aquat. Res. 37, 501–512. CrossRefGoogle Scholar
Cobb, C.W., Douglas, P.H., 1928, A theory of production. Am. Econ. Rev. 18, 139–165. Google Scholar
Curtin, R., Prellezo, R., 2010, Understanding marine ecosystem based management: a literature review. Mar. Policy 34, 821–830. CrossRefGoogle Scholar
De la Mare, W.K., 1998, Tidier fisheries management requires a new MOP (management-oriented paradigm). Rev. Fish. Biol. Fish. 8, 349–356. CrossRefGoogle Scholar
EC, 2002, Council Regulation (EC) No. 2340/2002 fixing for 2003 and 2004 the fishing opportunities for deep-sea fish stocks. Official Journal of the European Union L 356.
FAO, 2009, International guidelines for the management of deep-sea fisheries in the high seas, Rome.
Forbes C., Evans M., Hastings N., Peacock B., 2000, Statistical distributions. New York, Wiley.
Gil J., 2006, Biologia y pesca del voraz, Pagellus bogaraveo (Brünnich, 1768), en el Estrecho de Gibraltar. Faculty of sea and environmental sciences, University of Cadiz.
Gordon, J.D.M., Bergstad, O.A., Figueiredo, I., Menezes, G., 2003, The deep-water fisheries of the Northeast Atlantic: I Description and current trends. J. Northw. Atl. Fish. Sci. 31, 137–150. Google Scholar
Hauge, K.H., Nielsen, K.N., Korsbrekke, K., 2007, Limits to transparency exploring conceptual and operational aspects of the ICES framework for providing precautionary fisheries management advice. ICES J. Mar. Sci. 64, 738–743. CrossRefGoogle Scholar
ICES, 1998, Report of the Study group on the biology and assessment of deep-sea fisheries resources. ICES CM 1998/ACFM:12
ICES, 2005, Report of the ICES Advisory Committee on Fisheries Management, Advisory Committee on the Marine Environment and Advisory Committee on Ecosystems. ICES Advice 10.
ICES, 2010, Technical Background Evaluation of Annex IV Rules ICES CM 2010/ACOM: 58
ICES, 2011, Report of the Working Group on the Assessment of Demersal Stocks in the North Sea and Skagerrak (WGNSSK), Copenhaguen.
ICES, 2012. Report of the Arctic Fisheries Working Group, 20–26 April 2012, Copenhagen. ICES CM 2012/ACOM:05.
ICES, 2012. Report of the working group on the biology and assessment of deep-sea fisheries resources (WGDEEP), ICES CM 2012/ACOM: 17.
ICES, 2012, WKFRAME-3. Report of the Workshop on Implementing the ICES Fmsy Framework.
Iriondo, A., García, D., Santurtún, M., Castro, J., Quincoces, I., Lehuta, S., Mahévas, S., Marchal, P., Tidd, A., Ulrich, C., 2012, Managing mixed fisheries in the European western waters: application of Fcube methodology. Fish. Res. 134–136, 6–16. CrossRefGoogle Scholar
Ives, M.C., Scandol, J.P., 2013, BIOMAS: A bio-economic modelling and assessment system for fisheries management strategy evaluation. Ecol. Model. 249, 42–49. CrossRefGoogle Scholar
Jardim E., Urtizberea A., Motova A., Osio C., Ulrich C., Millar C., Mosqueira I., Poos J.J., Virtanen J., Hamon K., Carvalho N., Prellezo R., Holmes S., 2013, Bioeconomic modelling applied to fisheries with R/FLR/FLBEIA. JRC Scientific and Policy Report EUR 25823 EN.
Kell, L.T., Mosqueira, I., Grosjean, P., Fromentin, J.-M., Garcia, D., Hillary, R., Jardim, E., Mardle, S., Pastoors, M.A., Poos, J.J., Scott, F., Scott, R.D., 2007, FLR: an open-source framework for the evaluation and development of management strategies. ICES J. Mar. Sci. 64, 640–646. CrossRefGoogle Scholar
Koslow, J. A., 1984, Recruitment patterns in Northwest Atlantic fish stocks. Can. J. Fish. Aquat. Sci. 41, 1722–1729. CrossRefGoogle Scholar
Large, P.A., Agnew, D.J., Álvarez Pérez, J.Á., Barrio Froján, C., Cloete, R., Damalas, D., Dransfeld, L., Edwards, C.T.T., Feist, S., Figueiredo, I., González, F., Herrera, J.G., Kenny, A., Jakobsdóttir, K., Longshaw, M., Lorance, P., Marchal, P., Mytilineou, C., Planque, B., Politou, C.-Y., 2013, Strengths and weaknesses of the management and monitoring of deep-water stocks, fisheries, and ecosystems in various areas of the world – A roadmap toward sustainable deep-water fisheries in the Northeast Atlantic? Rev. Fish. Sci. 21, 157–180. CrossRefGoogle Scholar
Marchal, P., De Oliveira, J.A.A., Lorance, P., Baulier, L., Pawlowski, L., 2013, What is the added value of including fleet dynamics processes in fisheries models? Can. J. Fish. Aquat. Sci. 70, 992–1010. CrossRefGoogle Scholar
Marchal, P., Vermard, Y., 2013, Evaluating deepwater fisheries management strategies using a mixed-fisheries and spatially explicit modelling framework. ICES J. Mar. Sci. 70, 768–781. CrossRefGoogle Scholar
Pikitch, E.K., Santora, C., Babcock, E.A., Bakun, A., Bonfil, R., Conover, D.O., Dayton, P., Doukakis, P., Fluharty, D., Heneman, B., Houde, E.D., Link, J., Livingston, P.A., Mangel, M., McAllister, M.K., Pope, J., Sainsbury, K.J., 2004, Ecosystem-based fishery management. Science 305, 346–347. CrossRefGoogle ScholarPubMed
Planque, B., Bellier, E., Loots, C., 2011, Uncertainties in projecting spatial distributions of marine populations. ICES J. Mar. Sci. 68, 1045–1050. CrossRefGoogle Scholar
Planque, B., Johannesen, E., Drevetnyak, K.V., Nedreaas, K.H., 2012, Historical variations in the year-class strength of beaked redfish (Sebastes mentella). ICES J. Mar. Sci. 69, 547–552 CrossRefGoogle Scholar
Punt A.E., 2005, The challenges of, and future prospects for, assessing deepwater marine resources: experience from Australia, New Zealand, Southern Africa and the United States. In: Shotton R., edn. Deep sea 2003: conference on the governance and management of deep-sea fisheries Part 1. Conference papers. FAO Fish. Proc., No. 3/1, pp., 138–148.
Punt, A.E., Donovan, G.P., 2007, Developing management procedures that are robust to uncertainty: lessons from the International Whaling Commission. ICES J. Mar. Sci. 64, 603–612. CrossRefGoogle Scholar
R Development Core Team, 2011, R: A Language and Environment for Statistical Computing, Vienna.
Rademeyer, R.A., Plaganyi, E.E., Butterworth, D.S., 2007, Tips and tricks in designing management procedures. ICES J. Mar. Sci. 64, 618–625. CrossRefGoogle Scholar
Roques, S., Sévigny, J.M., Bernatchez, L., 2002, Genetic structure of deep-water redfish, Sebastes mentella, populations across the North Atlantic. Mar. Biol. 140, 297–307. Google Scholar
Salas, S., Gaertner, D., 2004, The behavioural dynamics of fishers: management implications. Fish Fish. 5, 153–167. CrossRefGoogle Scholar
Shepherd, J.G., 1999, Extended survivors analysis: An improved method for the analysis of catch-at-age data and abundance indices. ICES J. Mar. Sci. 56, 584–591. CrossRefGoogle Scholar
Sissenwine, M.P., Mace,, P.M. , 2007, Can deep water fisheries be managed sustainably? Report and documentation of the expert consultation on deep-sea fisheries of the high seas. Bangkok, 21-23 November 2006. FAO Fisheries Report, Rome 838, 61–111. Google Scholar
Stransky, C., 2005, Geographic variation of golden redfish (Sebastes marinus) and deep-sea redfish (S . mentella) in the North Atlantic based on otolith shape analysis. ICES J.Mar. Sci. 62, 1691–1698. CrossRefGoogle Scholar
Ulrich, C., Reeves, S.A., Vermard, Y., Holmes, S.J., Vanhee, W., 2011, Reconciling single-species TACs in the North Sea demersal fisheries using the Fcube mixed-fisheries advice framework. ICES J. Mar. Sci. 68, 1535–1547. CrossRefGoogle Scholar
van Putten, I.E., Kulmala, S., Thébaud, O., Dowling, N., Hamon, K.G., Hutton, T., Pascoe, S., 2012, Theories and behavioural drivers underlying fleet dynamics models. Fish Fish. 13, 216–235. CrossRefGoogle Scholar
Villasante, S., Morato, T., Rodriguez-Gonzalez, D., Antelo, M., Osterblom, H., Watling, L., Nouvian, C., Gianni, M., Macho, G., 2012, Sustainability of deep-sea fish species under the European Union Common Fisheries Policy. Ocean Coast. Manage. 70 SI, 31–37. CrossRefGoogle Scholar
Wilen, J.E., Smith, M.D., Lockwood, D., Botsford, L.W., 2002, Avoiding surprises: incorporating fisherman behavior into management models. Bull. Mar. Sci. 70, 553–575. Google Scholar
Supplementary material: PDF

OLM- alr 26(4) p361 (2013) alr130069 - Bio-economic management strategy ...

Tables S1 to S4

Download OLM- alr 26(4) p361 (2013) alr130069 - Bio-economic management strategy ...(PDF)
PDF 279 KB