Table 2. Results of multiple linear regression models for predicting the Chl a biomass of photoautotrophic picoplankton (PPP-Chl a), picoeukaryote Chl a (Peuk-Chl a) and picocyanobacteria Chl a (Pcy-Chl a) in Lake Võrtsjärv.
| Variable | Coefficients | Model | |||
|---|---|---|---|---|---|
| Estimate | T | P | Adjusted R2 | P | |
| PPP-Chl a | |||||
| Intercept | -2.12 | 3 | 0.79 | <0.01 | |
| PO4-P | -34.02 | -2.934 | <0.05 | ||
| Secchi depth | -2.808 | 1.143 | <0.05 | ||
| TP | 55.29 | 4.030 | <0.05 | ||
| Water temperature | 0.415 | 2.27 | <0.05 | ||
| Metazoans abundance | -0.00281 | -5.246 | <0.001 | ||
| Peuk-Chl a | |||||
| Intercept | -10.72 | -1.469 | 0.63 | <0.05 | |
| Water temperature | -0.3242 | -2.196 | <0.05 | ||
| PH | 5.921 | 2.431 | <0.05 | ||
| Secchi depth | -1.532 | -2.218 | <0.05 | ||
| Metazoans abundance | -0.000708 | -2.335 | <0.05 | ||
| DO | -0.156 | -2.673 | <0.05 | ||
| PO4-P | -4.994 | -0.947 | 0.36 | ||
| Pcy-Chl a | |||||
| Intercept | -0.4774 | -0.143 | 0.68 | <0.001 | |
| Secchi depth | -3.621 | -2.852 | <0.05 | ||
| TP | 42.41 | 2.771 | 0.05 | ||
| PO4-P | -20.87 | -1.615 | 0.121 | 0.126 | |
| Metazoans abundance | -0.00168 | -4.118 | <0.001 | ||