Short-term choice behaviour in a mixed fishery: Investigating métier selection in the Danish gillnet fishery

ICES Journal of Marine Science

Volumn 69, Issue 1, 2012, Pages 131-143

  Andersen, Bo Sølgaard ^a   Ulrich, Clara ^a   Eigaard, Ole Ritzau ^a   Christensen, Anne Sofie ^b  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b AALBORG UNIVERSITY   (Denmark)

Author keywords

Fisher behaviour; Mixed fishery; Mtier; North Sea; Random utility model

Indexed keywords

ATTITUDINAL SURVEY; CATCH STATISTICS; DECISION MAKING; DISCRETE CHOICE ANALYSIS; FISHERY ECONOMICS; FISHING COMMUNITY; FISHING EFFORT; GILLNET; HUMAN BEHAVIOR; PARAMETERIZATION; POLYCULTURE; PRICE DYNAMICS; QUESTIONNAIRE SURVEY;

ATLANTIC OCEAN; DENMARK; NORTH SEA;

EID: 83255165387     PISSN: 10543139     EISSN: 10959289     Source Type: Journal    
DOI: 10.1093/icesjms/fsr181     Document Type: Article

References (50)

1. Abernethy, K. E., Allison, E. H., Molloy, P. P., and Côté, I. M. 2007. Why do fishers fish where they fish? Using the ideal free distribution to understand the behaviour of artisanal reef fishers. Canadian Journal of Fisheries and Aquatic Sciences, 64: 1595-1604.
2. Agresti, A. 2002. Categorical Data Analysis. John Wiley, Hoboken, NJ.
3. Andersen, B. S., Vermard, Y., Ulrich, C., Hutton, T., and Poos, J. J. 2010. Challenges in integrating short-term behaviour in a mixed fishery management strategies evaluation frame: a case study of the North Sea flatfish fishery. Fisheries Research, 102: 26-40.
4. Andersen, J. L., Nielsen, M., Lidenbo, E., Nielsen, R., and Løkkegaard, J. 2005. Economic Situation of the Danish Fishery. Institute of Food and Resource Economics, Copenhagen University. 158 pp.
5. Berman, M. 2007. Modeling spatial choices in ocean fisheries. Marine Resource Economics, 21: 375-394.
6. Biseau, A., and Gondeaux, E. 1988. Methods of data-analysis in typological studies of fishery fleets. Journal du Conseil International pour l'Exploration de la Mer, 44: 286-296.
7. Bockstael, N. E., and Opaluch, J. J. 1983. Discrete modelling of supply response under uncertainty: the case of the fishery. Journal of Environmental Economics and Management, 10: 125-137.
8. Branch, T. A., Hilborn, R., Haynie, A. C., Fay, G., Flynn, L., Griffiths, J., Marshall, K. N., et al. 2006. Fleet dynamics and fishermen behavior: lessons for fisheries managers. Canadian Journal of Fisheries and Aquatic Sciences, 63: 1647-1668. (Pubitemid 44368517)
9. Campbell, H. F., and Hand, A. J. 1999. Modeling the spatial dynamics of the US purse-seine fleet operating in the western Pacific tuna fishery. Canadian Journal of Fisheries and Aquatic Sciences, 56: 1266-1277. (Pubitemid 30622665)
10. Christensen, A. S. 2009. Conflict and complementarity: an empirical study of conflicts between Danish fishermen and fisheries management aiming to develop an interdisciplinary framework to understand and mitigate conflicts in fisheries. PhD thesis, Aalborg University, Denmark. 116 pp.
11. Christensen, A. S., and Raakjær, J. 2006. Fishermen's tactical and strategic decisions-a case study of Danish demersal fisheries. Fisheries Research, 81: 258-267. (Pubitemid 44427941)
12. Curtis, R. E., and McConnell, K. E. 2004. Incorporating information and expectations in fisherman's spatial decisions. Marine Resource Economics, 19: 131-144. (Pubitemid 38652831)
13. EC. 2008. Council Regulation (EC) No. 199/2008 of 25 February 2008 concerning the establishment of a Community framework for the collection, management and use of data in the fisheries sector and support for scientific advice regarding the common fisheries policy. Official Journal of the European Union, L60/1: 1-12.
14. Eggert, H., and Tveteras, R. 2004. Stochastic production and heterogeneous risk preferences: commercial fishers' gear choices. American Journal of Agricultural Economics, 86: 199-212. (Pubitemid 38256865)
15. Gavaris, S. 1980. Use of multiplicative model to estimate catch rate and effort from commercial data. Canadian Journal of Fisheries and Aquatic Sciences, 37: 2272-2275.
16. Günther, H., Hasselmann, S., and Janssen, P. A. E. M. 1992. WAM Model Cycle 4. Technical Report 4, Hamburg, Germany.
17. Hensher, D. A., Rose, J. M., and Greene, W. H. 2005. Applied Choice Analysis. Cambridge University Press, Cambridge, UK.
18. Herriges, J. A., and Kling, C. L. 1996. Testing the consistency of nested logit with utility maximization. Economics Letters, 50: 33-39. (Pubitemid 126170932)
19. Hilborn, R. 1985. Fleet dynamics and individual variation: why some people catch more fish than others. Canadian Journal of Fisheries and Aquatic Sciences, 42: 2-13.
20. Hilborn, R. 2007. Managing fisheries is managing people: what has been learned? Fish and Fisheries, 8: 285-296. (Pubitemid 350125490)
21. Hilborn, R., and Walters, C. 1992. Quantitative Fisheries Stock Assessment: Choice, Dynamics and Uncertainty. Chapman and Hall, New York.
22. Holland, D. S. 2008. Are fishermen rational? A fishing expedition. Marine Resource Economics, 23: 325-344.
23. Holland, D. S., and Sutinen, J. G. 1999. An empirical model of fleet dynamics in New England trawl fisheries. Canadian Journal of Fisheries and Aquatic Sciences, 56: 253-264. (Pubitemid 29263082)
24. Holland, D. S., and Sutinen, J. G. 2000. Location choice in New England trawl fisheries: old habits die hard. Land Economics, 76: 133-150.
25. Hutton, T., Mardle, S., Pascoe, S., and Clark, R. A. 2004. Modelling fishing location choice within mixed fisheries: English North Sea beam trawlers in 2000 and 2001. ICES Journal of Marine Science, 61: 1443-1452. (Pubitemid 39527253)
26. ICES. 2003. Report of the Study Group on the Development of Fishery-Based Forecasts. ICES Document CM 2003/ACFM: 08.
27. ICES. 2006. Report of the Working Group on the Assessment of Demersal Stocks in the North Sea and Skagerrak (WGNSSK). ICES Document CM 2006/ACFM: 35.
28. Mangel, M., and Clark, C. W. 1983. Uncertainty, search and information in fisheries. Journal du Conseil International pour l'Exploration de la Mer, 41: 93-103.
29. Marchal, P., Lallemand, P., and Stokes, K. 2009. The relative weight of traditions, economics, and catch plans in New Zealand fleet dynamics. Canadian Journal of Fisheries and Aquatic Sciences, 66: 291-311.
30. McFadden, D. 1974. Conditional logit analysis of qualitative choice behaviour. In Frontiers in Econometrics, pp. 105-142. Ed. by P. Zarembka. Academic Press, New York.
31. Mistiaen, J. A., and Strand, I. E. 2000. Location choice of commercial fishermen with heterogeneous risk preferences. American Journal of Agricultural Economics, 82: 1184-1190.
32. Morey, E. R., Rowe, R. D., and Watson, M. 1993. A repeated nested-logit model of Atlantic salmon fishing. American Journal of Agricultural Economics, 75: 578-592. (Pubitemid 24388826)
33. Pelletier, D., and Ferraris, J. 2000. A multivariate approach for defining fishing tactics from commercial catch and effort data. Canadian Journal of Fisheries and Aquatic Sciences, 57: 51-65. (Pubitemid 30205697)
34. Pradhan, N. C., and Leung, P. S. 2004. Modeling trip choice behavior of the longline fishers in Hawaii. Fisheries Research, 68: 209-224. (Pubitemid 38722472)
35. Reeves, S. A., Marchal, P., Mardle, S., Pascoe, S., Prellezo, R., Thébaud, O., and Travers, M. 2008. From fish to fisheries: the changing focus of management advice. In Advances in Fisheries Science. 50 Years on from Beverton and Holt, pp. 135-154. Ed. by A. Payne, J. Cotter, and T. Potter. Blackwell Publishing, Oxford.
36. Salas, S., and Gaertner, D. 2004. The behavioural dynamics of fishers: management implications. Fish and Fisheries, 5: 153-167. (Pubitemid 38751635)
37. Salas, S., Sumaila, U. R., and Pitcher, T. 2004. Short-term decisions of small-scale fishers selecting alternative target species: a choice model. Canadian Journal of Fisheries and Aquatic Sciences, 61: 374-383. (Pubitemid 38722321)
38. Sampson, D. B. 1991. Fishing tactics and fish abundance, and their influence on catch rates. ICES Journal of Marine Science, 48: 291-301.
39. Smith, M. D. 2000. Spatial search and fishing location choice: methodological challenges of empirical modeling. American Journal of Agricultural Economics, 82: 1198-1206. (Pubitemid 32185609)
40. Smith, M. D. 2005. State dependence and heterogeneity in fishing location choice. Journal of Environmental Economics and Management, 50: 319-340. (Pubitemid 41191165)
41. Sokal, R. R., and Rohlf, F. J. 1995. Biometry: the Principles and Practice of Statistics in Biological Research, 3rd edn. W. H. Freeman and Co., New York. 887 pp.
42. Train, K. 2003. Discrete Choice Methods with Simulation. Cambridge University Press, Cambridge, UK.
43. Ulrich, C., and Andersen, B. S. 2004. Dynamics of fisheries, and the flexibility of vessel activity in Denmark between 1989 and 2001. ICES Journal of Marine Science, 61: 308-322. (Pubitemid 38592396)
44. Ulrich, C., Wilson, D. C., Nielsen, J. R., and Reeves, S. A. 2009. Potentials and challenges in fleet- and métier-based approaches for fisheries management in the CFP. ICES Document CM 2009/R: 06.
45. van Putten, I. E., Kulmala, S., Thébaud, O., Dowling, N., Hamon, K. G., Hutton, T., and Pascoe, S. 2011. Theories and behavioural drivers underlying fleet dynamics models. Fish and Fisheries, doi:10.1111/j.1467-2979. 2011.00430.x.
46. Vermard, Y., Marchal, P., Mahevas, S., and Thebaud, O. 2008. A dynamic model of the Bay of Biscay pelagic fleet simulating fishing trip choice: the response to the closure of the European anchovy (Engraulis encrasicolus) fishery in 2005. Canadian Journal of Fisheries and Aquatic Sciences, 65: 2444-2453.
47. Vignaux, M. 1996. Analysis of vessel movements and strategies using commercial catch and effort data from the New Zealand hoki fishery. Canadian Journal of Fisheries and Aquatic Sciences, 53: 2126-2136.
48. Wilen, J. E. 1979. Fisherman behaviour and the design of efficient fisheries regulation programs. Journal of the Fisheries Research Board of Canada, 36: 855-858.
49. Wilen, J. E. 2004. Spatial management of fisheries. Marine Resource Economics, 19: 7-21.
50. Wilen, J. E., Smith, M. D., Lockwood, D., and Botsford, L. W. 2002. Avoiding surprises: incorporation fisherman behaviour into management models. Bulletin of Marine Science, 70: 553-575. (Pubitemid 34923268)