Is nitrate a driver for pigments of phytoplankton (a case study from a small shallow European lake)?

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Table 2

Assessment of variables (NO_3<sup>⁻_<sup> concentration, water level l, water exchange coefficient К_w, air temperature t, precipitation f) and regression model quality using multiple linear prediction of phytoplankton pigment content (chlorophyll a and carotenoids) (forward stepwise algorithm).

Dependent variable	F (р)	R(R²)	Step 1 — F (p) for independent variables					Step 2 — F (p) for independent variables
			NO₃⁻	l	К_w	t	f	NO₃⁻	l	К_w	t	f
a	6.37 (0.05)	0.75	1.46	0.48	0.32	6.37	1.48	1.27	0.06	0.07	+	2.22
		(0.56)	(0.28)	(0.52)	(0.60)	(0.05)	(0.28)	(0.32)	(0.82)	(0.80)		(0.21)
k	7.49 (0.04)	0.77	7.49	1.64	2.24	3.79	1.02	+	0.08	0.06	6.99	3.34
		(0.59)	(0.04)	(0.26)	(0.20)	(0.11)	(0.36)		(0.79)	(0.82)	(0.06)	(0.14)

F: Fisher's test; р: confidence probability; R: multiple correlation coefficient; “+” indicates the variables that were included in the model in the previous step; F and р values for the variables included in the current step are indicated in bold.

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