Table 2. Results of separate linear mixed models on dependent variables and the direction of any relationship (D) using mixed models in SAS (PROC MIXED; SAS Institute, Inc., Cary, NC) and independent variables with site as a random effect and week or individual survey d as the repeated measure (α = 0.05) from winter (mid December 2008–February 2009) or early winter (mid December 2008–early January 2009) in eastern Mississippi, western Tennessee, and the Mississippi Alluvial Valley, USA.
Independent Variables | Dependent Variables | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Dabbling Ducks Feeding e | Proportion Dabbling Ducks Feeding | ||||||||||
F a | DFb b | DFw c | P | D | F a | DFb b | DFw c | P | D | ||
Winter | Week | 6.29 | 9 | 72.1 | <0.001 | – | 2.45 | 9 | 71.5 | 0.017 | + |
Treatment | 0.40 | 2 | 25.3 | 0.671 | 0.34 | 2 | 70.9 | 0.715 | |||
Water depth | 8.38 | 1 | 65.1 | 0.005 | – | 4.80 | 1 | 54.3 | 0.033 | – | |
Early winter | Survey d | 3.12 | 4 | 33.3 | 0.027 | – | 1.46 | 4 | 32.5 | 0.236 | |
Treatment | 0.85 | 2 | 32.3 | 0.435 | 0.74 | 2 | 31.2 | 0.485 | |||
Water Depth | 0.17 | 1 | 20 | 0.683 | 5.06 | 1 | 13.1 | 0.042 | – |
a F-statistic from linear mixed models
b Degrees of freedom between groups
c Degrees of freedom within groups
d Individual surveys (n = 5)
e Square root transformation used to normalize distribution of residuals and homogenize variances