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JOURNAL OF PLANKTON RESEARCH | VOLUME 1 | NUMBER 2 | PAGES 137-151 | 1979
© Oxford University Press

research-article

Technique of systems identification applied to estimating copepod population parameters

John Parslow, Nicholas C. Sonntag and John B.L. Matthews

Institute of Oceanography, The University of British Columbia Vancouver, B.C., Canada, V6T IW5 Institute of Marine Biology, University of Bergen N-5065 Blomsterdalen, Norway

Received on December 1, 1978; revised on April 1, 1979; accepted on April 1, 1979 System identification may offer some advantages over other methods of estimating population parameters from time series of copepod and similar populations. The technique involves the specification of a dynamic population model with unknown parameters. The parameters are estimated using least squares analysis to fit the model to data series. Four simple copepod population models are described and then tested against data generated by a simulation model with predefined parameters. The models were also applied to population data from an enclosed water column (CEPEX). Some conclusions are reached on the degree of stage aggregation and sampling interval required to estimate mortality and recruitment.,


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