Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-24T04:47:41.888Z Has data issue: false hasContentIssue false
  • English
  • Français

Catch-quota balancing in mixed-fisheries: a bio-economic modelling approach applied to the New Zealand hoki (Macruronus novaezelandiae) fishery

Published online by Cambridge University Press:  20 October 2009

Paul Marchal ,
Chris Francis ,
Philippe Lallemand ,
Sigrid Lehuta ,
Stéphanie Mahévas ,
Kevin Stokes  and
Youen Vermard
Paul Marchal
Affiliation:
IFREMER, Channel and North Sea Fisheries Department, 150 Quai Gambetta, BP 699, 62321 Boulogne-sur-Mer, France Seafood Industry Council, 74 Cambridge Terrace, Wellington, New Zealand
Chris Francis
Affiliation:
NIWA, 301 Evans Bay Parade, Hataitai, Wellington 6021, New Zealand
Philippe Lallemand
Affiliation:
Seafood Industry Council, 74 Cambridge Terrace, Wellington, New Zealand
Sigrid Lehuta
Affiliation:
IFREMER, Fisheries and Ecological Modeling Department, Rue de l'Ile d'Yeu, BP 21105, 44311 Nantes Cedex 03, France
Stéphanie Mahévas
Affiliation:
IFREMER, Fisheries and Ecological Modeling Department, Rue de l'Ile d'Yeu, BP 21105, 44311 Nantes Cedex 03, France
Kevin Stokes
Affiliation:
Seafood Industry Council, 74 Cambridge Terrace, Wellington, New Zealand
Youen Vermard
Affiliation:
IFREMER, Fisheries and Ecological Modeling Department, Rue de l'Ile d'Yeu, BP 21105, 44311 Nantes Cedex 03, France
Get access

Abstract

Managing adequately the exploitation of commercial species subject to technical interactions is a key step towards the ecosystem approach to fisheries. We evaluate here, using a bio-economic modelling approach building on the ISIS-Fish simulation platform, the relative impact of total allowable commercial catches (TACC) and of taxes applicable to over-quota landings (deemed value) on the sustainability of a selection of species exploited by the New Zealand hoki (Macruronus novaezelandiae) fishery. We investigate some aspects of the hoki mixed fisheries, consisting of four fleets and nineteen métiers, by considering the technical interactions between hoki and Southern hake (Merluccius australis). The dynamics of effort allocation were modelled using gravity model, using value per unit of effort (VPUE) as attractivity coefficient. Several management scenarios, based on different levels of TACC, effort limits and deemed value have been defined. The impact of these strategies on spawning biomass and catches has been investigated. The results confirm that the deemed value may, in combination with TACC, be anefficient management tool. By increasing the hoki deemed value, we could somehow limit the decrease in the hoki TACC needed to harvest Western hokisustainably. Constraining hoki fishing also restricts Southern hake fishing in the Chatham Rise and in the West Coast South Island, but leads to increased targeting of this species in the Sub-Antarctic area. The relative costs of renting/buying quota or paying the deemed value are most constraining when the hoki TACC is at relatively low level and when the hoki deemed value is more than 1.5 times the current value.

Keywords

Fleet dynamicsNew Zealand hoki fisheryDeemed valueFisheries management
Type
Research Article
Information
Aquatic Living Resources , Volume 22 , Issue 4 , October 2009 , pp. 483 - 498
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

Annala, J.H., Sullivan, K.J., Hore, A.J., 1991, Management of multispecies fisheries in New Zealand by individual transferable quotas. ICES Mar. Sci. Symp. 193, 321–329.
Annala J.H., Sullivan K.J., Smith N.W.M., Griffiths M.H., Todd P.R., Mace P.M., Connell A.M., 2004, Report from the Fishery Assessment Plenary, April 2004: stock assessments and yield estimates. Unpublished report, NIWA library, Wellington.
Anonymous 2007, Report from the fishery assessment plenary, May 2007: stock assessments and yield estimates. New Zealand Ministry of Fisheries science group, pp. 322–343.
Arnason, R., 2007, Advances in property rights based fisheries management: an introduction. Mar. Resour. Econ. 22, 335–346. CrossRef
Baird S.J., Bradford E., 2000, Factors that may have influenced the bycatch of New Zealand fur seals (Arctocephalus forsteri) in west coast South Island hoki fishery. NIWA Tech. Rep. 92.
Branch, T.A., Rutherford, K., Hilborn, R., 2006, Replacing trip limits with individual transferable quotas: implications for discarding. Mar. Policy 30, 281–292. CrossRef
Bremner, G., Johnstone, P., Bateson, T., Clarke, P., 2009, Unreported by-catch in the West Coast South Island hoki fishery. Mar. Policy 33, 504–512. CrossRef
Bull B., Francis R.I.C.C., Dunn A., McKenzie A., Gilbert D.J., Smith M.H., 2005, CASAL (C++ algorithmic stock assessment laboratory): CASAL user manual v2.07-2005/08/21. NIWA Tech. Rep. 127.
Caddy, J.F., 1975, Spatial model for an exploited shellfish population, and its application to the Georges Bank scallop fishery. J. Fish Resour. Board Can. 32, 1305–1328. CrossRef
Drouineau, H., Mahévas, S., Pelletier, D., Beliaeff, B., 2006, Assessing the impact of different management options using ISIS-Fish: the French Merluccius merluccius - Nephrops norvegicus mixed fishery of the Bay of Biscay. Aquat. Living Resour. 19, 15–29. CrossRef
Dunn A., Ballara S.L., Phillips N.L., 2006, Stock assessment of hake (Merluccius australis) in HAK1 & 4 for the 2004-2005 fishing year. New Zealand Fisheries Assessment Report 2006/11.
Francis R.I.C.C., 2007, Assessment of hoki (Macruronus novaezelandiae) in 2007. New Zealand Fisheries Assessment Report 2008/4.
Hentrich, S., Salomon, M., 2006, Flexible management of fishing rights and a sustainable fisheries industry in Europe. Mar. Policy 30, 712–720. CrossRef
Hilborn, R., 1985, Fleet dynamics and individual variation: why some people catch more than others. Can. J. Fish. Aquat. Sci. 42, 2–13. CrossRef
Hilborn, R., 2007, Managing fisheries is managing people: what has been learned. Fish Fish. 8, 285–296. CrossRef
Holland, D.S., 2000, A bio-economic model of marine sanctuaries on Gorges Bank. Canadian J. Fish. Aquat. Sci. 57, 1307–1319. CrossRef
Horwood, J.W., Whittle, P., 1986, Optimal control in the neighbourhood of an optimal equilibrium with examples from fisheries models. IMA J. Math. Appl. Med. Biol. 3, 129–142. CrossRef
Laurec, A., Biseau, A., Charuau, A., 1991, Modelling technical interactions. ICES Mar. Sci. Symp. 193, 225–236.
Mahévas, S., Pelletier, D., 2004, ISIS-Fish, a generic and spatially-explicit simulation tool for evaluating the impact of management measures on fisheries dynamics. Ecol. Model. 171, 65–84. CrossRef
Marchal, P., 1997, Managing growth overfishing with multiannual compromise strategies. Can. J. Fish. Aquat. Sci. 54, 2255–2276.
Pelletier, D., Mahévas, S., 2005, Fisheries simulation models for evaluating the impact of management policies, with emphasis on marine protected areas. Fish Fish. 6, 307–349. CrossRef
Punt, A.E., Butterworth, D.S., 1991, On an approach for comparing the implications of alternative fish stock assessments, with application to the stock of Cape hake Merluccius spp. off northern Namibia. S. Afr. J. Mar. Sci. 10, 219–240. CrossRef
Reeves S.A., Marchal P., Mardle S., Pascoe S., Prellezo R., Thébaud O., Travers M., 2008, From fish to fisheries : the changing focus of management advice. In: Payne A., Cotter J., Potter T. (Eds.) Advances in fisheries science 50 years on from Beverton and Holt, CEFAS, Blackwell Publishing, pp. 135–154.
Sanchirico, J.N., Holland, D., Quigley, K., Fina, M., 2006, Catch-quota balancing in multispecies individual fishing quotas. Mar. Policy 30, 767–785. CrossRef
Ulrich, C., Andersen, B.S., Sparre, P.J., Nielsen, J.R., 2007, TEMAS: fleet-based bio-economic simulation software to evaluate management strategies accounting for fleet behaviour. ICES J. Mar. Sci. 64, 647–651. CrossRef
Walters, C., Pauly, D., Christensen, V., 1999, Ecospace: prediction of mesoscale spatial patterns in trophic relationship of exploited ecosystems with emphasis on the impacts of marine protected areas. Ecosystems 2, 539–554. CrossRef