TEMAS: Fleet-based bio-economic simulation software to evaluate management strategies accounting for fleet behaviour

ICES Journal of Marine Science

Volumn 64, Issue 4, 2007, Pages 647-651

  Ulrich, Clara ^a   Andersen, Bo Sølgaard ^a   Sparre, Per J ^a   Nielsen, J Rasmus ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Bio economic simulation; Evaluation framework; Fisher behaviour; Fleet dynamics; Management strategies; Mixed fisheries

Indexed keywords

FISHERY ECONOMICS; FISHERY MODELING; MANAGEMENT PRACTICE; SIMULATION; SOFTWARE; STOCK ASSESSMENT; STRATEGIC APPROACH;

EID: 35949001665     PISSN: 10543139     EISSN: 10959289     Source Type: Journal    
DOI: 10.1093/icesjms/fsm044     Document Type: Conference Paper

References (32)

1. Andersen, B. S., and Christensen, A. S. 2006. Modelling short-term choice behaviour of Danish fishermen in a mixed fishery. In 2005 North American Association of Fisheries Economists Forum Proceedings, pp. 13-26. Ed. by U. R. Sumaila, and A. D. Marsden. Fisheries Centre Research Report, 14. University of British Columbia, Vancouver, Canada.
2. Aranda, M., and Motos, L. 2006. Management strategy evaluation (MSE) and management procedure (MP) implementations in practice: a review of constraints, roles and solutions. In The Knowledge Base for Fisheries Management, pp. 409-421. Ed. by L. Motos, and D. Wilson. Developments in Aquaculture and Fisheries Sciences Series, 36. Elsevier, Amsterdam.
3. Bockstael, N. E., and Opaluch, J. 1983. Discrete modelling of supply response under uncertainty: the case of the fishery. Journal of Environmental Economics and Management, 10: 125-137.
4. de la Mare, W. K. 1998. Tidier fisheries management requires a new MOP (management-oriented paradigm). Reviews in Fish Biology and Fisheries, 8: 349-356.
5. CEC. 2006. Baltic Sea - special designed management. Fisheries and Aquaculture in Europe, 29. 11 pp. (ISSN 1606-0806).
6. Fox, W. W. 1974. An overview of production modeling. In Workshop on Tuna Population Dynamics, Nantes 1974. Collective Volume of Scientific Papers International Commission for the Conservation of Atlantic Tunas, 3: 142-156.
7. Hilborn, R., and Walters, C. J. 1987. A general model for simulation of stock and fleet dynamics in spatially heterogeneous fisheries. Canadian Journal of Fisheries and Aquatic Sciences, 44: 1366-1369.
8. 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.
9. 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.
10. ICES. 2005. Report of the ICES Advisory Committee on Fishery Management, Advisory Committee on the Marine Environment and Advisory Committee on Ecosystems, 2005. ICES Advice, 1-11. 1418 pp.
11. ICES. 2006. Report of the Workshop on Simple Mixed Fisheries Management Models (WKMIXMAN). ICES Document CM 2006/ACFM: 14. 47 pp.
12. IWC. 1993. Report of the Scientific Committee. Report of the International Whaling Commission, 43: 57-64.
13. Kell, L. T., Pilling, G. M., Kirkwood, G. P., Pastoors, M., Mesnil, B., Korsbrekke, K., Abaunza, P., et al. 2005. An evaluation of the implicit management procedure used for some ICES roundfish stocks. ICES Journal of Marine Science, 62: 750-759.
14. Kell, L. T., De Oliveira, J. A. A., Punt, A. E., McAllister, M. K., and Kuikka, S. 2006. Operational management procedures: an introduction to the use of evaluation frameworks. In The Knowledge Base for Fisheries Management, pp. 379-407. Ed. by L. Motos, and D. Wilson. Developments in Aquaculture and Fisheries Sciences Series, 36. Elsevier, Amsterdam.
15. MacCall, A. 1999. Use of decision tables to develop a precautionary approach to problems in behavior, life history and recruitment variability. In Proceedings of the 5th NMFS Stock Assessment Workshop (SAW). Ed. by V. Restrepo. NOAA Technical Memorandum NMFS-F/SPO-40: 53-64.
16. Marchal, P., Andersen, B., Bromley, D., Iriondo, A., Mahévas, S., Quirijns, F., Rackham, B., et al. 2006. Improving the definition of fishing effort for important European fleets by accounting for the skipper effect. Canadian Journal of Fisheries and Aquatic Sciences, 63: 510-533.
17. 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.
18. Nielsen, J. R., Sparre, P. J., Hovgaard, H., Frost, H., and Tserpes, G. 2006. Effort and capacity based fisheries management. In The Knowledge Base for Fisheries Management, pp. 163-216. Ed. by L. Motos, and D. Wilson. Developments in Aquaculture and Fisheries Sciences Series, 36. Elsevier, Amsterdam.
19. Pradhan, N. C., and Leung, P. 2004. Modeling entry, stay, and exit decisions of the longliners in Hawaii. Marine Policy, 28: 311-324.
20. Quinn, T. J., Deriso, R. B., and Neal, P. R. 1990. Migratory catch-age analysis. Canadian Journal of Fisheries and Aquatic Sciences, 47: 2315-2327.
21. Smith, M. D. 2000. Spatial search and fishing location choice: methodological challenges of empirical modelling. American Journal of Agricultural Economics, 82: 1198-1206.
22. Sparre, P. J. 2003. An EXCEL-based software toolbox for stochastic fleet-based forecast. ICES Document CM 2003/V: 07.
23. Sparre, P. J., and Willmann, R. 1992. Software for bio-economic analysis of fisheries. BEAM 4. Analytical bio-economic simulation of space-structured multi-species and multi-fleet fisheries. 1. Description of model. 2. User's Manual. FAO Computerized Information Series (Fisheries), 3.
24. STECF. 2003. Report of the Ad Hoc Working Group on Mixed Fisheries. EU STECF Meeting, Brussels, 21-24 October, 2003.
25. Rijnsdorp, A. D., Daan, N., Dekker, W., Poos, J. J., and Van Densen, W. L. T. 2007. Sustainable use of flatfish resources: addressing the credibility crisis in mixed fisheries management. Journal of Sea Research, 57: 114-125.
26. Thompson, W. F., and Bell, F. H. 1934. Biological statistics of the Pacific halibut fishery. 2. Effect of changes in intensity upon total yield and yield per unit of gear. Reports of the International Fisheries (Pacific Halibut) Commission, 8. 49 pp.
27. Train, K. E. 2003. Discrete Choice Methods with Simulation. Cambridge University Press, Cambridge, UK. 355 pp.
28. Ulrich, C., Pascoe, S., Sparre, P. J., De Wilde, J. W., and Marchal, P. 2002. Influence of trends in fishing power on bioeconomics in the North Sea flatfish fishery regulated by catches or by effort quotas. Canadian Journal of Fisheries and Aquatic Sciences, 59: 829-843.
29. ième forum halieumétrique, 21-23 juin 2005, Nantes (in French).
30. Vinther, M., Reeves, S. A., and Patterson, K. R. 2004. From singles-pecies advice to mixed-species management: taking the next step. ICES Journal of Marine Science, 61: 1398-1409.
31. Ward, J. M., and Sutinen, J. G. 1994. Vessel entry-exit behaviour in the Gulf of Mexico shrimp fishery. American Agricultural Economics Association, 76: 916-923.
32. Wilen, J. E., Smith, M. D., Lockwood, D., and Botsford, L. W. 2002. Avoiding surprises: incorporating fisherman behaviour into management models. Bulletin of Marine Science, 70: 553-575.