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Table 1 Summary of statistical results for three experiments examining seed, seed bank, and field responses to aqueous smoke in ponderosa pine forests, northern Arizona.

From: Smoke-Cued Emergence in Plant Species of Ponderosa Pine Forests: Contrasting Greenhouse and Field Results

Effect

Response variables and statistics

Seed experimenta

Emergence

    
 

F

P > F

df

    

Species

45.3

<0.001

60

    

Smoke

43.6

<0.001

1

    

Species × smoke

3.4

<0.001

60

    

Seed bank experimentb

Density

Richness

  
 

t

P > t

df

t

P > t

  

Smoke

−2.6

0.034

8

−2.4

0.043

  
 

Composition

    
 

T

A

P > T

    

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

    

Smoke: grazed

−1.6

0.145

8

    

Smoke: ungrazed

−1.2

0.255

8

    
  1. a Two-factor analysis of variance with percentage of seeds emerging as the response variable.
  2. 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).
  3. 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.