Open Access

Table 2

Analysis of regression between environmental quality expressed by BMWPpl values and seven measures (indices) of macrobenthos diversity in four biocoenotic types of watercourses. Linearized regression functions and four measures of the fit accuracy are presented: 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 = 51.19(4.45) x + 8.57(7.27) 88.29 0.467 132.5 (1, 151) 35.31
II y = 38.03(2.82) x + 8.71(4.15) 59.47 0.452 180.8 (1, 221) 35.85
III y = 45.58(2.44) x + 4.97(4.07)# 75.01 0.491 346.8 (1, 360) 33.38
IV y = 44.89(4.34) x + 8.51(7.39)# 79.41 0.466 107.2 (1, 123) 32.39
Evenness I y = 127.69(29.11) x + 39.43(11.44) 87.46 0.113 19.2 (1, 151) 42.30
II y = 73.79(16.87) x + 33.34(6.57) 60.47 0.088 19.1 (1, 221) 46.45
III y = 101.64(15.77) x + 36.09(6.53) 76.19 0.103 41.5 (1, 360) 44.29
IV y = 126.09(28.05) x + 31.42(11.43) 80.63 0.141 20.2 (1, 123) 41.06
Margalef I y = 41.21(1.67)x − 7.99(4.13) 89.51 0.802 610.6 (1, 151) 24.45
II y = 30.17(1.30)x − 0.55(2.85)# 58.81 0.711 538.9 (1, 221) 26.04
III y = 34.59(1.05)x − 7.38(2.71) 74.16 0.751 1088.5 (1, 360) 23.32
IV y = 34.48(1.69)x − 4.97(4.48) 78.53 0.771 416.3 (1, 123) 21.16
Family richness I y = 5.54(0.13)x − 11.15(2.55) 70.00 0.919 1731.0 (1, 151) 12.72
II y = 5.09(0.10)x − 8.31(1.49) 47.29 0.920 2522.8 (1, 221) 13.69
III y = 5.27(0.08)x − 9.52(1.45) 60.27 0.918 4067.2 (1, 360) 2.44
IV y = 5.01(0.13)x − 8.32(2.40) 63.22 0.928 1588.4 (1, 123) 2.25
TPD I y = 0.63(0.02) x + 0.37(0.11) 81.49 0.897 1313.5 (1, 151) 5.16
II y = 0.59(0.01) x + 0.56(0.08) 55.04 0.895 1864.4 (1, 221) 5.36
III y = 0.61(0.01) x + 0.34(0.08) 70.32 0.871 2422.7 (1, 360) 5.36
IV y = 1.11(0.03) x + 1.18(0.09) 78.23 0.914 1315.0 (1, 123) 3.56
MPD I y = 1.19(0.04)x − 0.09(0.16)# 84.28 0.818 679.7 (1, 151) 5.65
II y = 1.09(0.03)x − 0.35(0.10) 57.55 0.866 1419.7 (1, 221) 5.82
III y = 1.13(0.03)x − 0.14(0.10)# 73.01 0.835 1817.9 (1, 360) 6.06
IV y = 0.52(0.02)x − 0.91(0.11) 74.52 0.893 1027.5 (1, 123) 3.98
MDis I y = 20.29(0.55) x + 6.33(2.42) 83.82 0.901 1366.7 (1, 151) 4.17
II y = 22.41(0.48)x − 3.07(1.51) 57.99 0.907 2144.1 (1, 221) 4.75
III y = 25.50(0.48)x − 4.39(1.63) 73.41 0.889 2887.7 (1, 360) 2.84
IV y = 23.99(0.69)x − 0.23(2.51) 77.64 0.909 1225.1 (1, 123) 2.53

Denotes originally non-linear (intrinsically linear) relationship transformed into linear form (linearized).

#

Denotes non-significant constant.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.