{"refrec":{"BRefID":10269,"RR":"<b>Elskens, M.; Goeyens, L.; Dehairs, F.A.; Rees, A.; Joint, I.; Baeyens, J.</b> (1999). Improved estimation of f-ratio in natural phytoplankton assemblages. <i>Deep-Sea Res., Part 1, Oceanogr. Res. Pap. 46(10)</i>: 1793-1808","BEntID":10269,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Deep-Sea Res., Part 1, Oceanogr. Res. Pap. 46(10)</i>: 1793-1808","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Elskens, M.; Goeyens, L.; Dehairs, F.A.; Rees, A.; Joint, I.; Baeyens, J.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Elskens, M. <i>et al.</i>","Englishabstract":"Statistical properties in non-linear regression models of <i>f</i>-ratio versus nitrate relationships were investigated using a case study conducted at the European continental margin (Project OMEX). Although the OMEX data fit within the family of empirical models introduced by Platt and Harrison (1985) Nature 318, 55&#x2013;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 regulating new production, the present analysis was extended to include explicitly the effect of ammonium on <i>f</i>-ratio versus nitrate plots. Experimental results based on controlled ammonium additions were used to express the <i>f</i>-ratio as a function of both nitrate concentration and ammonium inhibition, i.e. <i>f</i><sup>*</sup><sub>(<i>NO</i>3,&#x3b1;)</sub>.<i>I</i><sub>(<i>NH</i>4,&#x3b2;)</sub>. The estimation behaviour of the data set/model combination was analysed by testing the appropriateness of various model functions for <i>f</i><sup>*</sup> and <i>I</i>. The best fit was obtained with a sigmoid curve, for which mean values of the random fluctuation are almost commensurate with the estimated uncertainty of the measurements with natural phytoplankton assemblages. Precision of the <i>f</i>-ratio estimates was further assessed from contour diagrams of constant likelihood. The significance, validity limits of the estimated parameters, and the relevance of the proposed model as a predictive tool are discussed. 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