Statistical properties in non-linear regression models of f-ratio versus ni
trate relationships were investigated using a case study conducted at the E
uropean continental margin (Project OMEX). Although the OMEX data fit withi
n the family of empirical models introduced by Platt and Harrison (1985, Na
ture 318, 55-58), it is shown that the discrepancy between experimental and
fitted values is larger than expected, assuming that the data are accurate
. Since the ambient ammonium concentration plays a leading role in regulati
ng new production, the present analysis was extended to include explicitly
the effect of ammonium on f-ratio versus nitrate plots. Experimental result
s based on controlled ammonium additions were used to express the f-ratio a
s a function of both nitrate concentration and ammonium inhibition, i.e, f*
((NO3,alpha)).I-(NH4,I-beta). The estimation behaviour of the data set/mode
l combination was analysed by testing the appropriateness of various model
functions for f* and I. The best fit was obtained with a sigmoid curve, for
which mean values of the random fluctuation are almost commensurate with t
he estimated uncertainty of the measurements with natural phytoplankton ass
emblages. Precision of the f-ratio estimates was further assessed from cont
our diagrams of constant likelihood. The significance, validity limits of t
he estimated parameters, and the relevance of the proposed model as a predi
ctive tool are discussed. Overall, this empirically determined model result
s in improved precision off-ratio estimations. (C) 1999 Elsevier Science Lt
d. All rights reserved.