The Ensemble Kalman Filter in Bioeconomics

Sturla F. Kvamsdal () and Leif Sandal ()
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Sturla F. Kvamsdal: Dept. of Finance and Management Science, Norwegian School of Economics and Business Administration, Postal: NHH , Department of Finance and Management Science, Helleveien 30, N-5045 Bergen, Norway, http://www.nhh.no/Default.aspx?ID=11323

No 2012/5, Discussion Papers from Norwegian School of Economics, Department of Business and Management Science

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.

Keywords: Ensemble Kalman Filter; Ecosystem Management; Bioeconomics; Aggregated Biomass Models (search for similar items in EconPapers)
JEL-codes: Q00 Q50 Q57 (search for similar items in EconPapers)
Pages: 28 pages
Date: 2012-05-14
New Economics Papers: this item is included in nep-agr and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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