Skip to main content Accessibility help

Linking catchability and fisher behaviour under effort management

  • Hans J.A.E. van Oostenbrugge (a1), Jeff P. Powell (a1), Jos P.G. Smit (a1), Jan-Jaap Poos (a2), Sarah B.M. Kraak (a2) and Erik F.C. Buisman (a1)...


Catchability is crucial for the economic performance of fisheries and their management. However, in many bio-economic simulation models it is assumed to be either constant or it is largely ignored, despite the fact that it is known to vary due to technical, environmental and behavioral factors. Such variation can cause the relationship between effort and fishing mortality to be nonlinear. This paper provides evidence for the possibility of nonlinear optimizing behavior from the Dutch beam trawl fishery, provides a methodology for estimating the curvature of the resulting relation, and a simple way of implementing these processes within a bio-economic model. Moreover, it shows the influence of a nonlinear relationship between effort and fishing mortality in a model of effort management (EU long-term flatfish management plan).


Corresponding author


Hide All
[1] Addison, J.T., Lawler, A.R., Nicholson, M.D., 2004, Adjusting for variable catchability of brown shrimps (Crangon crangon) in research surveys. Fish. Res. 65, 285294.
[2] Anonymous, 2005, Economic performance of selected European fishing fleets in 2004. The potential economic impact on selected fishing fleet segments of TACs proposed by ACFM and reviewed by SGRST for 2006 (EIAA-model calculations). No FISH/2005/12.
[3] Anonymous, 2006a, Commission Staff Working Paper: Report of the joint SGECA - SGRST sub-group meeting on bio-economic modeling, ISPRA 4-6 October 2005 and 7–9 March 2006, 92 p. + annexes.
[4] Anonymous, 2006b, Commission staff working paper, Impact assessment: plaice and sole long-term management SGECA-SGRST-06-05 Brussels, 26-29 Sept. 2006
[5] Anonymous, 2006c, Economic performance of selected European fishing fleets. Annual report 2005, March 2006.
[6] EC, 2004, Council Regulation (EC) No 423/2004 of 26 February 2004 establishing measures for the recovery of cod stocks, Off. J. Eur. Union 9.3 pp. 8–11.
[7] EC, 2005, Proposal for a council regulation establishing a management plan for fisheries exploiting stocks of plaice and sole in the North Sea. COM(2005) 714 Final, 2006/0002 (CNS).
[8] Bishop, J., 2006, Standardizing fishery-dependent catch and effort data in complex fisheries with technology change. Rev. Fish Biol. Fish. 16, 2138.
[9] Ellis, N., Wang, Y.-G., 2007, Effects of fish density distribution and effort distribution on catchability. ICES J. Mar. Sci. 64, 178191.
[10] Fare R., Grosskopf S., Kirkley J.E., Squires D., 2001. Data envelopment analysis (dea): a framework for assessing capacity in fisheries when data are limited. IFFET 2000 Proc. 10th Biennial Conference of Fisheries Economics and Trade Oregon State University, July 10–14, Corvallis.
[11] ICES, 2007, Report of the ICES Advisory Committee on Fishery Management, Advisory Committee on the Marine Environment and Advisory Committee on Ecosystems. ICES Adv. Books 1, pp. 10–16.
[12] Hutton, T., Mardle, S., Pascoe, S., Clark, R.A., 2004, Modelling fishing location choice within mixed fisheries: English North Sea beam trawlers in 2000 and 2001. ICES J. Mar. Sci. 61, 14431452.
[13] Kell, L.T., Mosqueira, I., Grosjean, P., Fromentin, J.M., Garcia, D., Hillary, R., Jardim, E., Pastoors, M., 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, 640646.
[14] Kraak S.B.M., Buisman F.C., Dickey-Collas M., Poos J.J., Pastoors M.A., Smit J.G.P., Daan N., 2004, How can we manage mixed fisheries? A simulation study of the effect of management choices on the sustainability and economic performance of a mixed fishery. ICES Doc. CM 2004/FF, 11.
[15] Machiels M.A.M., Kraak S.B.M., Beek F.A. van, 2007, Evaluation of a management plan as proposed by the European Commission in 2006 for fisheries exploiting stocks of plaice and sole in the North Sea. Wageningen IMARES Rep. C011/07.
[16] Marchal P., Ulrich C., Korsbrekke K., Pastoors M., Rackham B., 2003, Annual trends in catchability and fish stock assessments. Sci. Mar. 67, Suppl. 1, 163–73.
[17] Olin, M., Kurkilahti, M., Peitola, P, Ruuhijärvi, J., 2004, The effects of fish accumulation on the catchability of multimesh gillnet. Fish. Res. 68, 135147.
[18] Overholtz, W.J., Edwards, S.F., Brodziak, K.T., 1995, Effort control in the New England groundfish fishery: a bio-economic perspective. Can. J. Fish. Aquat. Sci. 52, 19441957.
[19] Pascoe, S., Andersen, J., Wilde, J.W. de, 2001, The impact of management regulation on the technical efficiency of vessels in the Dutch beam trawl fishery. Eur. Rev. Agr. Econ. 28, 187206.
[20] Pelletier, D., Mahévas, S., 2005, Spatially explicit fisheries simulation models for policy evaluation. Fish Fish. 6, 307349.
[21] Rijnsdorp, A.D., Daan, N., Dekker, W., 2006, Partial fishing mortality per fishing trip: a useful indicator of effective fishing effort in mixed demersal fisheries. ICES J. Mar. Sci. 63, 556566.
[22] Taal C., Bartelings H., Klok A., van Oostenbrugge J.A.E, Vos B. de, 2006, Fishery in figures 2006 (in Dutch). Agricultural Economics Research Institute, LEI Rep. 06-04, LEI The Hague.
[23] Ulrich, C., Pascoe, S., Sparre, P.J., De Wilde, J.W., Marchal, P., 2002, Influence of trends in fishing power on bioeconomics in the North Sea flatfish fishery regulated by catches or by effort quotas. Can. J. Fish. Aquat. Sci. 59, 829843.
[24] Varian H., 1992, Microeconomic Theory. 3rd edition, W.W. Norton.



Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed