Table 2 Best models (lowest AIC) explaining seasonal variation in three response variables: log10 cell abundance, \(\sqrt[2]{{\alpha {\text{ species richness}}}}\) and \(\sqrt[2]{{\alpha {\text{ ENS}}}}\). Best models were determined by AIC (ΔAIC > 2). For each response variable, all possible combinations of ln DIN, \(\sqrt[2]{{{\text{silicate}}}}\), and the interaction between ln DIN and mean station-level salinity were used. Mean station-level salinity was included in all models. This resulted in six models in total. When no clear model emerged, all equivalent models are reported.

From: Large seasonal and spatial variation in nano- and microphytoplankton diversity along a Baltic Sea—North Sea salinity gradient

Model

Marginal r2

Conditional r2

AIC

AIC weight

log10 cell abundance

(int.) + ln DIN + salinity + \(\sqrt[2]{{{\text{silicate}}}}\) + ln DIN:salinity

0.33

0.37

6131

 > 0.99

\(\sqrt[{\mathbf{2}}]{{{\mathbf{\alpha }}\,{\mathbf{species }}\,{\mathbf{richness }}}}\)

(int.) + ln DIN + salinity + \(\sqrt[2]{{{\text{silicate}}}}\)

0.022

0.18

7523

0.38

(int.) + ln DIN + salinity

0.021

0.18

7524

0.30

(int.) + ln DIN + salinity + ln DIN:salinity

0.021

0.18

7525

0.16

(int.) + ln DIN + salinity + \(\sqrt[2]{{{\text{silicate}}}}\) + ln DIN:salinity

0.022

0.18

7525

0.15

\(\sqrt[{\mathbf{2}}]{{{{\varvec{\upalpha}}}\,{\mathbf{ ENS }}}}\)

(int.) + ln DIN + salinity + \(\sqrt[2]{{{\text{silicate}}}}\) + ln DIN:salinity

0.013

0.10

6286

0.54

(int.) + ln DIN + salinity + ln DIN:salinity

0.012

0.093

6286

0.44