Table 3.
Data set | Season | |
---|---|---|
|
Spring |
Summer |
FULL data set | ||
Observed C-score |
33.47 |
30.56 |
Mean C-score 1 |
31.99 |
29.13 |
p 2 |
<0.0001 |
<0.0001 |
effect size 3 |
5.15 |
4.25 |
n |
57 |
53 |
HIGH subset | ||
Observed C-score |
15.78 |
17.08 |
Mean C-score |
15.39 |
16.40 |
p |
<0.0204 |
<0.0001 |
effect size |
2.24 |
4.10 |
n |
39 |
36 |
LOW subset | ||
Observed C-score |
5.11 |
5.42 |
Mean C-score |
4.69 |
5.40 |
p |
0.0002 |
0.5890 |
effect size |
4.26 |
0.11 |
n |
18 |
17 |
MOUNTAIN ECOREGION | ||
Observed C-score |
6.39 |
6.72 |
Mean C-score |
6.41 |
2.62 |
p |
0.5280 |
>0.0001 |
effect size |
-0.09 |
7.25 |
n |
18 |
17 |
PIEDMONT ECOREGION | ||
Observed C-score |
4.32 |
13.53 |
Mean C-score |
3.86 |
13.08 |
p |
0.0110 |
0.0790 |
effect size |
2.95 |
1.49 |
n |
16 |
31 |
SANDHILLS ECOREGION4 | ||
Observed C-score |
7.06 |
- |
Mean C-score |
7.00 |
- |
p |
0.2580 |
- |
effect size |
0.63 |
- |
n | 19 | - |
1 Mean C-scores are the means from the test distribution generated using the randomization algorithms.
2 p is the probability of a C-score > observed C-score under a random model
3 effect size was calculated as (Cobs – Cm)/SD, where Cobs = observed C-score, Cm = mean C-score of the test distribution, and SD = standard deviation of the test distribution.
4 Due to the low number of sites (n = 6), null-model analysis was not performed for Sandhills collections in the summer.