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The Ensemble Kalman Filter in Bioeconomics

Author

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  • Kvamsdal, Sturla F.

    (Dept. of Finance and Management Science, Norwegian School of Economics and Business Administration)

  • Sandal, Leif K.

    (Dept. of Finance and Management Science, Norwegian School of Economics and Business Administration)

Abstract

We demonstrate the power of the Ensemble Kalman Filter in specifying ecosystem models ideal for bioeconomic analysis. Bioeconomic analysis requires models to be relatively simple, but models must still capture the nature and dynamics of the system. With the Ensemble Kalman Filter, we are able to capture complex dynamics in multispecies models with models simple enough to allow further bioeconomic analysis. While bioeconomic analysis has had limited influence on management decisions, the advent of new methods and the need for high dimensional ecosystem based management models may make bioeconomic research more relevant in the future. The filter is applied to a ecosystem model of the commercially most important species in the Barents Sea. The simpler, aggregated stochastic biomass models capture the complex dynamics of the pelagic stocks on the level needed for making decisions on for example allowable catches.

Suggested Citation

  • Kvamsdal, Sturla F. & Sandal, Leif K., 2012. "The Ensemble Kalman Filter in Bioeconomics," Discussion Papers 2012/5, Norwegian School of Economics, Department of Business and Management Science.
  • Handle: RePEc:hhs:nhhfms:2012_005
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    File URL: http://hdl.handle.net/11250/164196
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    References listed on IDEAS

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    1. John Tschirhart, 2009. "Integrated Ecological-Economic Models," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 381-407, September.
    2. Hannesson, Rögnvaldur, 2007. "Cheating about the cod," Marine Policy, Elsevier, vol. 31(6), pages 698-705, November.
    3. Wilen, James E., 2000. "Renewable Resource Economists and Policy: What Differences Have We Made?," Journal of Environmental Economics and Management, Elsevier, vol. 39(3), pages 306-327, May.
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    Cited by:

    1. Kling, David M. & Sanchirico, James N. & Fackler, Paul L., 2017. "Optimal monitoring and control under state uncertainty: Application to lionfish management," Journal of Environmental Economics and Management, Elsevier, vol. 84(C), pages 223-245.
    2. Kvamsdal, Sturla & Maroto, José M. & Morán, Manuel & Sandal, Leif K., 2017. "A bridge between continuous and discrete-time bioeconomic models: Seasonality in fisheries," Ecological Modelling, Elsevier, vol. 364(C), pages 124-131.

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    More about this item

    Keywords

    Ensemble Kalman Filter; Ecosystem Management; Bioeconomics; Aggregated Biomass Models;
    All these keywords.

    JEL classification:

    • Q00 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - General
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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