1993
DOI: 10.3354/meps102015
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Stage duration estimation for Calanus populations, a modelling study

Abstract: Population dynamics of Calanus finmarchicus have been modelled using very finely divided representation of the stock accord~ng to age-within-stage, in the manner of models developed by C. S. Davis, A. Sciandra, F. Carlotti and others. A key assumption of the model is that development rate is relatively insensitive to food-limitation, so that stage duration can be represented by a temperature function alone. We used the Belehradek function for this purpose, noting that better data are needed for fitting its par… Show more

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Cited by 54 publications
(26 citation statements)
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“…We did not focus on individual growth as we were concerned here with first-order biophysical influences on numbers of C. finmarchicus rather than biomass. Although our mathematical model differs from more detailed life-history models, such as age-within-stage models, the model we present here yielded a realistic ontogeny and annual abundance pattern, i.e., a cascading of the population through eggs to adults with consistently lower abundance, by an order of magnitude or more, from eggs and naupliar to copepodids as in previous modeling studies [e.g., Tande and Slagstad, 1992;Miller and Tande, 1993;Carlotti and Radach, 1996]. The resemblance of the simulated and observed life stage abundance and a final CVd population similar in abundance to the initial population and with a realistic distribution, show the ability of this simplified model to simulate a mean climatological state of the populations of C. finmarchicus in the eastern Canadian waters.…”
Section: Discussionmentioning
confidence: 93%
“…We did not focus on individual growth as we were concerned here with first-order biophysical influences on numbers of C. finmarchicus rather than biomass. Although our mathematical model differs from more detailed life-history models, such as age-within-stage models, the model we present here yielded a realistic ontogeny and annual abundance pattern, i.e., a cascading of the population through eggs to adults with consistently lower abundance, by an order of magnitude or more, from eggs and naupliar to copepodids as in previous modeling studies [e.g., Tande and Slagstad, 1992;Miller and Tande, 1993;Carlotti and Radach, 1996]. The resemblance of the simulated and observed life stage abundance and a final CVd population similar in abundance to the initial population and with a realistic distribution, show the ability of this simplified model to simulate a mean climatological state of the populations of C. finmarchicus in the eastern Canadian waters.…”
Section: Discussionmentioning
confidence: 93%
“…There are several models representing the development of C. ®nmarchicus for various purposes. Miller and Tande (1993) modelled developmental timing for a single cohort with prolonged reproduction (as occurs in northern Norwegian fjords) by a very ®nely divided age-within-stage representation. Their goal was to test the methodological validity of several ®eld techniques for estimating stage duration.…”
Section: Population Dynamicsmentioning
confidence: 99%
“…At each hourly time step, each individual is subjected to a random chance of dying at a mortality rate set for each stage. For G 1 we have used the ad hoc, stagewise survivorship rates from Miller and Tande (1993), while lower survivorship was applied to G 2 (Table 1). The G 2 rates were chosen to produce 50 000±60 000 G 2 resting C5 from 500 G 0 females (after application of the G 2 /G 1 generational multiplier, see below).…”
Section: Population Dynamicsmentioning
confidence: 99%
“…those developing at high latitudes). Early methods for deriving stage durations and mortality rates from cohorlt analysis have been criticized because of the interdepend.ence of these two quantities (Braner and Hairston 1989;Miller and Tande 1993), and remedies have been proposed (Aksnes and Hoisaeter 1987). However, for multivoltine populations, clear recognition of a sequence of unambiguous discrete cohorts remains less the rule than the exception, highlighting the need for alternative mortality estimation procedures.…”
Section: Acknowledgmentsmentioning
confidence: 99%