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Dynamic modelling of multispecies fisheries for consensus building and management

Published online by Cambridge University Press:  15 October 2009

Matthias Ruth*
Affiliation:
Center for Energy and Environmental Studies and the Department of Geography, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA
James Lindholm
Affiliation:
Boston University Marine Program, The Marine Biological Laboratory, 7 Water Street, Woods Hole, MA 02543, USA
*
* Matthias Ruth Tel: +1 617 353 5741 Fax: +1 617 353 5986 email: [email protected]

Summary

Many factors influence the dynamics of fisheries and feedback mechanisms amongst these factors are poorly understood. The ecological systems are too large and complex to conduct controlled experiments and economic adjustments to changes in fish populations defy traditional equilibrium analysis. New modelling approaches are required to identify the driving forces behind the dynamics of exploited fish populations, assess likely consequences of alternative management measures, and achieve consensus among stakeholders.

We present an interdisciplinary modelling approach that can be used easily to assess dynamic consequences of alternative assumptions for certain key biological and economic parameters, and incorporates the input of various stakeholder groups in the fishery. Contributions of scientists, economists and managers to the model can be augmented with contributions from the fisherfolk.

Our approach is illustrated by a dynamic computer model capturing the interactions of three demersal fish species on Georges Bank, namely Atlantic Cod (Gadus morhua), Haddock (Melanogramus aeglefimts) and Pollack (Pollachius virens), population sizes of which are assumed to be density-dependent for the purposes of the model and are significantly affected by management decisions. The model addresses how management measures for one species influence the population dynamics of other commercially exploited species. Various scenarios are run to explore the implications of viable management strategies under alternative assumptions on the driving forces behind complex ecological-economic processes. The analyses indicate that neither small reductions in effort nor mesh size increases are likely to prevent the further demise of the Georges Bank ground fisheries, and, in fact, stocks of the three targeted species may decline. Alternative management measures seem to be necessary to prevent collapse, and might include various strategies, such as effort controls and mesh size reductions, in conjunction with a dramatic change in fishing technology. The assessment and viability of alternative management measures in turn require that consensus is generated among stakeholders about data and models.

Type
Papers
Copyright
Copyright © Foundation for Environmental Conservation 1996

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References

Allen, P.M. & McGlade, J.M. (1987) Modelling complex human systems: a fisheries example. European Journal of Operational Research 30: 147–67.CrossRefGoogle Scholar
Beltrami, E.J. (1987) Mathematics for Dynamic Modelling. San Diego: Academic Press: 227 pp.Google Scholar
Beverton, R.J. & Holt, S.J. (1957) On the dynamics of exploited fish populations. Fish. Invest. Ser. 2(19), 5533.Google Scholar
Bowman, R.E., Azarowitz, T.R., Howard, E.S. & Hayden, B.P. (1987) Food and distribution of juveniles of seventeen northwest Atlantic fish species, 1973–1976. NOAA Technical Memorandum. NMFS-F/NEC-45.Google Scholar
Brown, D. & Rothery, P. (1993) Models in Biology: Mathematics, Statistics and Computing. Chichcster: John Wiley and Sons: 688 pp.Google Scholar
Carr, M.H. & Reed, D.C. (1992) Conceptual issues relevant for reef fishery management in the US Southern Atlantic. NOAA Technical Memorandum, NMFS-SEFC-261.Google Scholar
Clark, C.W. (1976) Mathematical Bioeconomics. New York: Wiley: 352 pp.Google Scholar
Clark, C.W. (1985) Bioeconomic Modelling and Fisheries Management. New York: Wiley: 291 pp.Google Scholar
Conrad, J. & Clark, C.W. (1987) Natural Resource Economics. Cambridge: Cambridge University Press: 231 pp.CrossRefGoogle Scholar
Cornwell, L. & Costanza, R. (1994) An experimental analysis of the effectiveness of an environmental assurance bonding system on player behaviour in a simulated firm. Ecological Economics 11: 213–26.CrossRefGoogle Scholar
Costanza, R., Wainger, L., Folkc, C. & Mäler, K.-G. (1993) Modelling complex ecological-economic systems. BioScience 43: 545–55.CrossRefGoogle Scholar
Costanza, R. & Ruth, M. (1997) Dynamic systems modelling for scoping and consensus building. In: New Horizons in Environmental Policy, ed. Dragun, A. & Jakobsson, K., pp. 281308. Edward Elgar (in press).Google Scholar
Cushing, D.H. (1971) The dependence of recruitment on parent stock in different groups of fishes. J. Cons. Int. Explor. Mer 33: 340–62.CrossRefGoogle Scholar
Edelstein-Keshet, L. (1988) Mathematical Models in Biolog. New York: Random House: 586 pp.Google Scholar
Emlen, J.M. (1984) Population Biology: the Coevolution of Population Dynamics and Behaviour. New York: Macmillan Publishing Company: 547 pp.Google Scholar
Federal Register (1996) Provisions of the Northeast Multispccies Groundfish Management Plan, May 31, 1996. Vol. 61, No. 106, pp. 27710–50.Google Scholar
Gordon, H.S. (1954) The economic theory of a common-property resource: the fishery. Journal of Political Economy 62: 124–42.CrossRefGoogle Scholar
Hall, C.A.S. (1988) An assessment of several of the historically most influential theoretical models used in ecology and the data provided for their support. Ecological Modelling 43: 531.CrossRefGoogle Scholar
Hannesson, R. (1991) Bioeconomic Analysis of Fisheries. Bergen: Institute of Fisheries Economics.Google Scholar
Hannon, B. & Ruth, M. (1994) Dynamic Modeling. New York: Springer Verlag: 248 pp.Google Scholar
Hannon, B. & Ruth, M. (1997) Modeling Dynamic Biological Systems. New York: Springer-Verlag.Google Scholar
High Performance Systems (1994) STELLA II Technical Documentation. Hanover: High Performance Systems, Inc.Google Scholar
Holling, C.S. (1965) The functional response of predators to prey density and its role in mimicry and population regulation. Mem. Entomol Soc. Can. 45: 60.Google Scholar
Holling, C.S. (1987) Simplifying the complex: the paradigms of ecological function and structure. European Journal of Operational Research 30: 139–46.CrossRefGoogle Scholar
Holling, C.S. (1992) Cross-scale morphology, geometry and dynamics of ecosystems. Ecological Monographs 62: 447502.CrossRefGoogle Scholar
Holmes, B. (1994) Biologists sort the lessons of fisheries collapse. Science 264: 1252–3.CrossRefGoogle ScholarPubMed
Jensen, A.L. (1992) Dynamics of fish populations with different compensatory processes when subjected to random survival of eggs and larvae. Ecological Modelling 68: 249–56.CrossRefGoogle Scholar
Lemons, J. & Brown, D.A. (1995) Sustainable Development: Science, Ethics, and Public Policy. Doordrecht, The Netherlands: Kluwer Academic Publishers: 281 pp.CrossRefGoogle Scholar
Lotka, A.J. (1925) Elements of Physical Biology. New York: Dover, Publications Inc.: 460 pp.Google Scholar
Meadows, D. (1995) Fish Banks, Ltd. University of New Hampshire.Google Scholar
Murawski, S.A., Lange, A.M. & Idoine, J.S. (1991) An analysis of technological interactions among Gulf of Maine mixed-species fisheries. ICES Marine Science Symposium 193: 237–52.Google Scholar
NOAA (1993 a) Status of fishery resources off the northeastern United States for 1993. NOAA Technical Memo NMFS-FNEC-101. Woods Hole: NMFS Conservation and Utilization Division: 140 pp.Google Scholar
NOAA (1993 b) Report of the 16th Northeast Regional Stock Assessment Workshop (16th SAW). NEFC Ref. Doc. 93–18. Woods Hole: National Marine Fisheries Service: 116 pp.Google Scholar
Pope, J.G. (1991) The ICES Multispecies Assessment Working Group: evolution, insights, and future problems. ICES Marine Science Symposium 193: 2233.Google Scholar
Potts, G.W. & Wooton, R.J. (1984) Fish Reproduction: Strategies and Tactics. London: Academic Press: 410 pp.Google Scholar
Ricker, W.E. (1954) Stock and recruitment. J. Fish. Res. Board Can. 11: 559623.CrossRefGoogle Scholar
Rosenberg, A.A., Fogarty, M.J., Sissenwine, M.P., Beddington, J.R. & Shepherd, J.G. (1993) Achieving sustainable use of renewable resources. Science 262: 828–9.CrossRefGoogle ScholarPubMed
Rosser, J.B. (1991) From Catastrophe to Chaos: a General Theory of Economic Discontinuities. Dortrccht, The Netherlands: Kluwer Academic Publishers: 402 pp.CrossRefGoogle Scholar
Rothschild, B.J. (1991) Multispccies interactions on Georges Bank. ICES Marine Science Symposium 193: 8692.Google Scholar
Ruth, M. (1995) A system dynamics approach to modeling fisheries management issues: Implications for spatial dynamics and resolution. System Dynamics Review 11: 233–43.CrossRefGoogle Scholar
Ruth, M. and Cleveland, C. (1996) Modeling the dynamics of resource depletion, substituion, recycling and technical change in extractive industries. In: Down to Earth: Practical Applications of Ecological Economics ed. by Constanza, R., Segura, O. & Martinez-Alier, J., pp. 301–24. Washington, DC: Island Press.Google Scholar
Ruth, M. & Hannon, B. (1997) Modeling Dynamic Economic Systems. New York: Springer-Verlag.CrossRefGoogle Scholar
Schneider, E.D. & Kay, J.J. (1994) Complexity and thermodynamics: towards a new ecology. Futures 26: 626–47.CrossRefGoogle Scholar
Serchuk, F.M., O'Brien, L., Mayo, R.K. & Wigley, S.E. (1993) Assessment of the Georges Bank cod stock for 1992. Unpublished report. NOAA/National Marine Fisheries Service.Google Scholar
Sherman, K. & Alexander, L.M., eds. (1996) Variability and Management of Large Marine Ecosystems. Boulder: Westview Press, Inc: 319 pp.Google Scholar
Sissenwine, M.P. & Daan, N. (1991) An overview of multispecies models relevant to management of living resources. ICES Marine Science Symposium 193: 611.Google Scholar
Slobodkin, L.B. (1961) The Growth and Regulation of Animal Numbers. New York: Holt, Rinchart and Winston: 184 pp.Google Scholar
The World Resources Institute (1994) World Resources 1994–5. New York and Oxford: Oxford University Press: 400 pp.Google Scholar
United States Department of Commerce (1996) Our Living Oceans: Report on the Status of U.S., Living Marine Resources 1995. NOAA Tech.Memo. NMFS-F/SPO-19: pp. 3942.Google Scholar
Volterra, V. (1926) Fluctuations in the abundance of a species considered mathematically. Nature 118: 558–60.CrossRefGoogle Scholar
Weston, R.F. & Ruth, M. (1997) A dynamic hicrarchial approach to understanding and managing natural economic systems. Ecological Economics (in press).CrossRefGoogle Scholar
Wigley, S.E. & Serchuck, F.M. (1992) Spatial and temporal distribution of juvenile Atlantic cod Gadus morhua in the Georges Bank – Southern New-England region. Fishery Bulletin 90: 599606.Google Scholar
Wilson, J.A., Kleban, P., McKay, S.R. & Townsend, R.E. (1991 a) Management of multispecies fisheries with chaotic population dynamics. ICES Marine Science Symposium 193: 287300.Google Scholar
Wilson, J.A., French, J., Kleban, P., McKay, S.R. & Townsend, R. (1991 b) Chaotic dynamics in a multiple species fishery: a model of community predation. Ecological Modelling 58: 303–22.CrossRefGoogle Scholar