In the present study, we evaluated the ability of dynamic regression on the basis of its efficiency to model and forecast the fortnightly abundance of dadocerans during 1989–1993 in a coastal region of the eastern Saronikos Gulf (Aegean Sea). The following dynamic regression model explained 79% of the variability of the transformed cladoceran abundance during the fitting period (January 1989-December 1992): In (cladocerans) t = 0.4314 In (chlorophyll α) −5.9013 In (salinity) + 8.7760 In (temperature) + 0.2371 In (cladocerans) t−20 . The model always predicted the start and the end of the cladoceran season, and forecasted the cumulative cladoceran abundance during January-December 1993 with an absolute percentage error of 14.5%. The positive effect of sea temperature and chlorophyll α, and the negative effect of salinity, on cladoceran abundance are all consistent with previous studies. The positive relationship between cladoceran abundance at times and t−20 approximates the seasonal cycle of their abundance.
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Christou et al. (1998) studied this question.
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