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Journal of Plankton Research Vol.23 no.11 pp.1279-1296, 2001
© Oxford University Press 2001

The consequences of individual variability in moulting probability and the aggregation of stages for modelling copepod population dynamics

Sami Souissi1,3 and Syuhei Ban2

1 Université Des Sciences Et Technologies De Lille 1, Cnrs–upres A 8013 Elico Station Marine, Bp 80, F-62930 Wimereux, France; 2 Biological Oceanography; Faculty Of Fisheries, Hokkaido University 3-1-1 Minato-Machi, Hakodate, Hokkaido 040, Japan

3 Corresponding Author: E-Mail SAMI.SOUISSI{at}UNIV-LILLE.FR

Individual variability in development rates of the calanoid copepod Eurytemora affinis was studied using previously published data that are here normalised for the effects of food and temperature. The late-developing individuals died before reaching the adult stage. The development of individuals was studied using two different stage aggregations. In the one case, the stages were aggregated into four groups: early nauplii (N1–N3), later nauplii (N4–N6), early copepodites (C1–C3) and later copepodites (C4–C5). In another case, only total nauplii (N1–N6) and total copepodites (C1–C5) were used. The distributions of development time in the first groups obtained from the normalised data show distinct asymmetry. The gamma density function is asymmetrical to fit the distributions of development in the different groups under different experimental conditions. For one experimental condition (103 cells ml–1, 15°C) the development of E. affinis was simulated using an age-within-stage model together with the fitted distributions of moulting probabilities. We showed that the asymmetrical gamma distribution was an adequate parameterization of the transfer process. It was also useful to simplify the life cycle representation by lumping developmental stages. However, the comparison of the simulated abundance with two life cycle representations showed another source of error due to the heterogeneity of stage-specific mortality rates. The error of the estimation increases in proportion to the difference of mortality rates between two successive stages.


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