Table 3
Analysis of regression between environmental quality expressed by MMI values and seven measures (indices) of benthos diversity in four biocoenotic types of watercourses. Regression functions are presented and four measures of the fit accuracy: mean absolute error (MAE), standardized R2, values of statistic F for regression model accuracy and residual coefficient of variation (RCV).
| Index | Type | Regression function | MAE | R2 | F value (df) | RCV |
|---|---|---|---|---|---|---|
| Shannon | I | y = 0.33(0.03) x + 0.05(0.04)# | 0.233 | 0.527 | 168.4 (1, 151) | 29.38 |
| II | y = 0.26(0.02) x + 0.15(0.03)# | 0.394 | 0.394 | 142.5 (1, 221) | 33.28 | |
| III | y = 0.28(0.02) x + 0.31(0.03)# | 0.251 | 0.446 | 290.5 (1, 360) | 36.41 | |
| IV | y = 0.21(0.03) x + 0.19(0.05) | 0.393 | 0.281 | 48.04 (1, 123) | 58.11 | |
| Evenness⁎ | I | y = 1.09(0.17) x + 0.16(0.07) | 0.370 | 0.218 | 42.0 (1, 151) | 37.80 |
| II | y = 0.62(0.12) x + 0.28(0.05) | 0.452 | 0.102 | 24.9 (1, 221) | 40.51 | |
| III | y = 0.81(0.09) x + 0.15(0.04) | 0.287 | 0.159 | 68.3 (1, 360) | 44.88 | |
| IV | y = 0.21(0.05) x + 0.75(0.05) | 0.431 | 0.156 | 27.7 (1, 123) | 56.23 | |
| Margalef⁎ | I | y = 0.66(0.06)x − 2.29(0.14) | 0.358 | 0.536 | 127.7 (1, 151) | 81.09 |
| II | y = 0.58(0.05)x − 2.02(0.11) | 0.405 | 0.367 | 127.3 (1, 221) | 74.30 | |
| III | y = 1.40(0.08)x − 2.12(0.07) | 0.252 | 0.439 | 303.9 (1, 360) | 66.15 | |
| IV | y = 0.48(0.03) x + 0.31(0.03) | 0.398 | 0.289 | 50.2 (1, 123) | 58.19 | |
| Family richness | I | y = 0.08(0.00) x + 0.06(0.03)# | 0.120 | 0.639 | 266.9 (1, 151) | 25.68 |
| II | y = 0.03(0.00) x + 0.10(0.03) | 0.113 | 0.586 | 310.3 (1, 221) | 27.50 | |
| III | y = 0.03(0.00) x + 0.04(0.02)# | 0.196 | 0.554 | 447.6 (1, 360) | 32.68 | |
| IV | y = 0.02(0.00) x + 0.19(0.04) | 0.119 | 0.452 | 101.4 (1, 123) | 45.36 | |
| TPD⁎ | I | y = 0.74(0.05) x − 5.43(0.31) | 0.245 | 0.600 | 226.3 (1, 151) | 59.69 |
| II | y = 0.62(0.03)x − 4.42(0.19) | 0.341 | 0.636 | 383.2 (1, 221) | 56.35 | |
| III | y = 0.64(0.04)x − 5.03(0.29) | 0.220 | 0.472 | 318.6 (1, 360) | 65.43 | |
| IV | y = 1.03(0.12)x − 3.66(0.35) | 0.122 | 0.405 | 90.9 (1, 123) | 45.14 | |
| MPD⁎ | I | y = 1.43(0.10)x − 5.84(0.37) | 0.241 | 0.564 | 195.0 (1, 151) | 67.76 |
| II | y = 1.15(0.06)x − 4.46(0.20) | 0.351 | 0.617 | 353.5 (1, 221) | 57.79 | |
| III | y = 1.17(0.07)x − 5.18(0.25) | 0.228 | 0.470 | 279.1 (1, 360) | 67.42 | |
| IV | y = 0.48(0.06)x − 3.91(0.39) | 0.126 | 0.392 | 79.3 (1, 123) | 49.55 | |
| MDis⁎ | I | y = 0.11(0.01) x + 0.13(0.03) | 0.110 | 0.702 | 355.3 (1, 151) | 23.34 |
| II | y = 0.13(0.01) x + 0.12(0.02) | 0.105 | 0.627 | 367.5 (1, 221) | 26.13 | |
| III | y = 0.14(0.01) x + 0.04(0.02) | 0.237 | 0.600 | 539.1 (1, 360) | 30.98 | |
| IV | y = 0.09(0.01) x + 0.21(0.03) | 0.117 | 0.490 | 118.2 (1, 123) | 41.42 | |
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