{"refrec":{"BRefID":290468,"RR":"<b>Ignatiades, L.</b> (2017). Size scaling patterns of species richness and carbon biomass for marine phytoplankton functional groups. <i>Mar. Ecol. (Berl.) 38(5)</i>: e12454. <a href=\"https://dx.doi.org/10.1111/maec.12454\" target=\"_blank\">https://dx.doi.org/10.1111/maec.12454</a>","BEntID":282508,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":null,"RefStringPartII":". <i>Mar. Ecol. (Berl.) 38(5)</i>: e12454. <a href=\"https://dx.doi.org/10.1111/maec.12454\" target=\"_blank\">https://dx.doi.org/10.1111/maec.12454</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Ignatiades, L.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Ignatiades, L.","Englishabstract":"Phytoplankton assemblages were clustered into associations according to functional taxonomic (diatoms, dinoflagellates and coccolithophores) and “ataxonomic” unimodal (nanoplankton, microplankton and macroplankton) size-based criteria. Scaling relations of species richness-cell size were performed in terms of histogram and log-transformed data analyses for both taxonomic and ataxonomic groups. Frequency distribution histograms were fitted to a negative power function, which was strongly unimodal and right skewed and invariant across taxonomic and ataxonomic units. Regression analyses of the log-transformed data were fitted to negative linear curves, which had common patterns and they were independent of taxonomic or ataxonomic affiliation. Species carbon biomass–cell size spectra produced by log transformation of the relevant data yielded positive slopes for both taxonomic and ataxonomic groups. In contrast, comparisons of the relative cell abundance, cell volume and carbon biomass levels showed large differences among these variables across taxonomic and ataxonomic groups. 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