Effect | Response variables and statistics |
---|
Seed experimenta
| Emergence | Â | Â | Â | Â |
 |
F
|
P > F
| df | Â | Â | Â | Â |
Species | 45.3 | <0.001 | 60 | Â | Â | Â | Â |
Smoke | 43.6 | <0.001 | 1 | Â | Â | Â | Â |
Species × smoke | 3.4 | <0.001 | 60 |  |  |  |  |
Seed bank experimentb
| Density | Richness | Â | Â |
 |
t
|
P > t
| df |
t
|
P > t
| Â | Â |
Smoke | −2.6 | 0.034 | 8 | −2.4 | 0.043 |  |  |
 | Composition |  |  |  |  |
 |
T
|
A
|
P > T
| Â | Â | Â | Â |
Smoke | −0.2 | 0.006 | 0.358 |  |  |  |  |
Field experimentc
| Plant cover | Richness/m2
| Richness/9 m2
|
 |
F
|
P > F
| df |
F
|
P > F
|
F
|
P > F
|
Smoke | 0.1 | 0.728 | 1 | 0.2 | 0.667 | 1.5 | 0.239 |
Plot [smoke] | 1.7 | 0.153 | 16 | 1.2 | 0.391 | 2.0 | 0.096 |
Grazing | 4.9 | 0.043 | 1 | 3.3 | 0.088 | 3.7 | 0.074 |
Smoke × grazing | 0.6 | 0.461 | 1 | 0.5 | 0.489 | 3.7 | 0.074 |
Covariate | 15.8 | 0.001 | 1 | 9.4 | 0.008 | 5.6 | 0.032 |
 | Composition |  |  |  |  |
 |
t
|
P > t
| df | Â | Â | Â | Â |
Smoke: grazed | −1.6 | 0.145 | 8 |  |  |  |  |
Smoke: ungrazed | −1.2 | 0.255 | 8 |  |  |  |  |
-
a Two-factor analysis of variance with percentage of seeds emerging as the response variable.
-
b Density and species richness of emergents analyzed using two-tailed paired t tests. Species composition (importance values) of emergents compared between treatments using blocked-multi-response permutation procedures (T = test statistic, A = chance-corrected within-group agreement, which provides a measure of within-group homogeneity; McCune and Grace 2002).
-
c Univariate response variables analyzed as a split plot (aqueous smoke treatment as the whole-plot factor and grazing treatment as the subplot factor) with pre-treatment data as a covariate using analysis of variance. Species composition compared between control and aqueous smoke treated plots separately for grazed and ungrazed areas within plots by computing a Sørensen similarity (based on species importance values) between each pair of control and treated plots before and after treatment. A two-tailed paired t test evaluated the null hypothesis that the mean pre-treatment similarity between pairs of plots did not differ from the mean post-treatment similarity between pairs of plots.