The Ensemble Kalman Filter in Bioeconomics
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.
|Date of creation:||14 May 2012|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: +47 55 95 92 93
Fax: +47 55 95 96 50
Web page: http://www.nhh.no/en/research-faculty/department-of-business-and-management-science.aspx
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Hannesson, Rögnvaldur, 2007. "Cheating about the cod," Marine Policy, Elsevier, vol. 31(6), pages 698-705, November.
- 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.
- John Tschirhart, 2009. "Integrated Ecological-Economic Models," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 381-407, 09.
When requesting a correction, please mention this item's handle: RePEc:hhs:nhhfms:2012_005. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Stein Fossen)
If references are entirely missing, you can add them using this form.