Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-15T07:26:49.908Z Has data issue: false hasContentIssue false

Harvest control rules in the context of fishery-independent management of fish stocks

Published online by Cambridge University Press:  17 June 2009

Panayiota Apostolaki
Affiliation:
CEFAS Lowestoft Lab, Pakefield Road, Suffolk, NR33 0HT, UK
Richard Hillary
Affiliation:
Division of Biology, Imperial College, London SW7 2AZ, UK
Get access

Abstract

Consideration of control rules as part of fisheries management plans is becoming a common practice. Control rules may be simple or complex and utilise model- or observation-based indicators of the status of the stock to control exploitation through limitation of effort or catches. Rules that control harvest (HCR) often utilize commercial fishery data in the calculation of future catches. However, commercial fishery data may be inaccurate and that can compromise the effectiveness of the HCR in maintaining the stock for secure future harvesting. The idea of fishery-independent HCR has arisen because of these problems. Indicators of the status of a stock are derived from standardised fish surveys, commonly trawl surveys repeated annually. A management strategy that relies on such information also requires adoption of appropriate and effective control rules that utilise such information. Here, we draw attention to diverse HCR, including fishery-dependent examples that have been considered, tested or already adopted for fisheries management. Our intention is to stimulate ideas for HCR that are usable with, or adaptable to fishery-independent indicators.

Type
Research Article
Copyright
© EDP Sciences, IFREMER, IRD, 2009

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.)

References

Breen P.A., Kim S.W, Bentley N., Starr P.J., 2003, Preliminary evaluation of maintenance management procedures for New Zealand rock lobster (Jasus edwardsii) fisheries. New Zealand Fisheries Assessment Report 2003/20, 65p.
Cadrin, S.X., Pastoors, M.A., 2008, Precautionary harvest policies and the uncertainty paradox. Fish. Res. 94, 367372 CrossRef
Cooke, J.G., 1999, Improvement of fishery-management advice through simulation testing of harvest algorithms. ICES J. Mar. Sci. 56, 797810. CrossRef
Constable, A.J., de la Mare, W.K., Agnew, D.J., Everson, I., Miller, D., 2000, Managing fisheries to conserve the Antarctic marine ecosystem: practical implementation of the Convention on the conservation of Antarctic marine living resources (CCAMLR). ICES J. Mar. Sci. 57, 778791 CrossRef
Cotter, J., Petitgas, P., Abella, A., Apostolaki, P., Mesnil, B., Politou, C.Y., Rivoirard, J., Rochet, M.J., Spedicato, M.T., Trenkel, V.M., Woillez, M., 2009, Towards an ecosystem approach to fisheries management (EAFM) when trawl surveys provide the main source of information. Aquat. Living Resour. 22, 243254. CrossRef
Cox, S.P., Kronlund, A.R., 2008, Practical stakeholder-driven harvest policies for groundfish fisheries in British Columbia, Canada. Fish. Res. 94, 224237. CrossRef
Deroba, J.J., Bence, J.R., 2008, A review of harvest policies: Understanding relative performance of control rules. Fish. Res. 94, 210223 CrossRef
Dowling, N.A., Smith, D.C., Knuckey, I., Smith, A.D.M, Domaschenz, P., Patterson, H.M., Whitelaw, W., 2008, Developing harvest strategies for low-value and data-poor fisheries: Case studies from three Australian fisheries. Fish. Res. 94, 380390. CrossRef
FAO, 2001, Research implications of adopting the precautionary approach to management of tuna fisheries. FAO Fisheries Circular No. 963
Hillary, R.M., Kirkwood, G.P., Agnew, D.J., 2006, An assessment of toothfish in subarea 48.3 using CASAL. CCAMLR Sci. 13, 6595.
Hillary, R.M., 2009, An introduction to FLR fisheries simulation tools. Aquat. Living Resour. 22, 225232. CrossRef
Haltuch, M.A., Punt, A.E, Dorn, M.W., 2008, Evaluating alternative estimators of fishery management reference points. Fish. Res. 94, 290303 CrossRef
ICES, 2007, Report of the ICES Advisory Committee on Fishery Management, Advisory Committee on the Marine Environment and Advisory Committee on Ecosystems. ICES advice 2007, Book 9.
Kell, L.T., O'Brien, C.M., Smith, M.T., Stokes, T. K., Rackham, B.D., 1999, An evaluation of management procedures for implementing a precautionary approach in the ICES context for North Sea plaice (Pleuronectes platessa). ICES J. Mar. Sci. 56, 834845. CrossRef
Kell, L.T., Pastoors, M.A., Scott, R.D., Smith, M.T., Van Beek, F.A., O'Brien, C.M., Pilling, G.M., 2005, Evaluation of multiple management objectives for Northeast Atlantic flatfish stocks: Sustainability vs. stability of yield ICES J. Mar. Sci. 62, 11041117.
Loehle, C., 2006, Control theory and the management of ecosystems. J. Appl. Ecol. 43, 957966 CrossRef
Ludwig, D., Hilborn, R., 1983, Adaptive probing strategies for age-structured fish stocks. Can. J. Fish. Aquat. Sci. 40, 559-569. CrossRef
Needle, C.L., 2008, Management strategy evaluation for North Sea haddock. Fish. Res. 94, 141150. CrossRef
Nielsen, J.R., Degnbol, P., Viswanathan, K.K., Ahmed, M., Hara, M., Abdullah, N.M.R., 2004, Fisheries co-management-an institutional innovation? Lessons from South East Asia and Southern Africa. Mar. Policy 28, 151160. CrossRef
Parma, A.M., 2002, In search of robust harvest rules for Pacific halibut in the face of uncertain assessments and decadal changes in productivity. Bull. Mar. Sci. 70, 423453.
Pilling G.M., Apostolaki P., Failler P., Floros C., Large P.A., Morales-Nin B., Reglero P., Stergiou K.I., Tsikliras A.C., 2008, Assessment and management of data poor fisheries. In: Payne A.I.L., Cotter A.J.R., Potter T. (Eds.) Advances in Fisheries Science: 50 years on from Beverton and Holt. Blackwell Publishing.
Punt, A.E., Smith, A.D.M., 1999, Harvest strategy evaluation for the eastern stock of gemfish (Rexea solandri). ICES J. Mar. Sci. 56, 860875. CrossRef
Punt, A.E., 2003, Managing West Coast groundfish resources through simulations. Fish. Bull. 101, 860873.
Punt, A.E, Dorn, M.W, Haltuch, M.A., 2008, Evaluation of threshold management strategies for groundfish off the U.S. West Coast. Fish. Res. 94, 251266.
Quinn T.J. II, Deriso R.B., 1999, Quantitative Fish Dynamics. Oxford University Press, New York.
Restrepo V.R, Thompson G.G., Mace P.M., Gabriel W.L., Low L.L., MacCall A.D., Methot R.D., Powers J.E., Taylor B.L., Wade P.R., Witzig J.F., 1998, Technical guidance on the use of precautionary approaches to implementing national standard 1 of the Magnuson-Stevens fishery conservation and management act. NOAA Technical Memorandum NMFS-F/SPO-31.
Rottingen I., 2003, The agreed recovery plan in the management of Norwegian spring-spawning herring. ICES CM 2003/U:01
Ruppert, D., Reish, R.L., Deriso, R.B., Carroll, R.J., 1984, Optimization using stochastic approximation and Monte Carlo simulation (with application to harvesting of Atlantic menhaden). Biometrics 40, 535545. CrossRef
Sainsbury, K.J., Punt, A.E., Smith, A.D.M., 2000, Design of operational management strategies for achieving fishery ecosystem objectives. ICES J. Mar. Sci. 57, 731741. CrossRef
Walters C., 1986, Adaptive management of renewable resources. MacMillan Publishing Co., New York.
WG-FSA, 2001, Report of the working group on fish stock assessment. Hobart, Australia. Commission for the conservation of Antarctic living marine resources.