Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-23T03:11:28.457Z Has data issue: false hasContentIssue false
  • English
  • Français

Linking catchability and fisher behaviour under effort management

Published online by Cambridge University Press:  26 July 2008

Hans J.A.E. van Oostenbrugge ,
Jeff P. Powell ,
Jos P.G. Smit ,
Jan-Jaap Poos ,
Sarah B.M. Kraak  and
Erik F.C. Buisman
Hans J.A.E. van Oostenbrugge
Affiliation:
LEI (Agricultural Economics Research Institute), Fisheries Unit, PO Box 29703, 2502 LS The Hague, The Netherlands
Jeff P. Powell
Affiliation:
LEI (Agricultural Economics Research Institute), Fisheries Unit, PO Box 29703, 2502 LS The Hague, The Netherlands
Jos P.G. Smit
Affiliation:
LEI (Agricultural Economics Research Institute), Fisheries Unit, PO Box 29703, 2502 LS The Hague, The Netherlands
Jan-Jaap Poos
Affiliation:
Wageningen IMARES, Wageningen UR, PO Box 68, 1970 AB IJmuiden, The Netherlands
Sarah B.M. Kraak
Affiliation:
Wageningen IMARES, Wageningen UR, PO Box 68, 1970 AB IJmuiden, The Netherlands
Erik F.C. Buisman
Affiliation:
LEI (Agricultural Economics Research Institute), Fisheries Unit, PO Box 29703, 2502 LS The Hague, The Netherlands
Get access

Abstract

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).

Keywords

Non-linearityBio-economic modelingFLR frameworkNorth Sea flatfish fishery
Type
Research Article
Information
Aquatic Living Resources , Volume 21 , Issue 3: Special Issue (Advances in Fisheries Analysis and Modelling – Reversible and Irreversible Changes in Fish Resources and their usage) , July 2008 , pp. 265 - 273
Copyright
© EDP Sciences, IFREMER, IRD, 2008

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

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, 285–294. CrossRef
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. http://stecf.jrc.cec.eu.int/sgeca/eaef/2005.php.
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.
Anonymous, 2006b, Commission staff working paper, Impact assessment: plaice and sole long-term management SGECA-SGRST-06-05 Brussels, 26-29 Sept. 2006 http://fishnet.jrc.it/c/portal/layout?p_l_id=PUB.1013.20.
Anonymous, 2006c, Economic performance of selected European fishing fleets. Annual report 2005, March 2006.
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.
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).
Bishop, J., 2006, Standardizing fishery-dependent catch and effort data in complex fisheries with technology change. Rev. Fish Biol. Fish. 16, 21–38. CrossRef
Ellis, N., Wang, Y.-G., 2007, Effects of fish density distribution and effort distribution on catchability. ICES J. Mar. Sci. 64, 178–191.
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.
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.
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, 1443–1452. CrossRef
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, 640–646. CrossRef
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.
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.
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.
Olin, M., Kurkilahti, M., Peitola, P, Ruuhijärvi, J., 2004, The effects of fish accumulation on the catchability of multimesh gillnet. Fish. Res. 68, 135–147. CrossRef
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, 1944–1957. CrossRef
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, 187–206. CrossRef
Pelletier, D., Mahévas, S., 2005, Spatially explicit fisheries simulation models for policy evaluation. Fish Fish. 6, 307–349. CrossRef
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, 556–566. CrossRef
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.
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, 829–843. CrossRef
Varian H., 1992, Microeconomic Theory. 3rd edition, W.W. Norton.