Skip to main content
. 2015 Feb 18;10(2):e0118390. doi: 10.1371/journal.pone.0118390

Table 3. Regression analyses between kelp cover and physical variables at the transects in Port Stephens (PS), Batemans (Ba) and Tasman Peninsula (Ta) on East Australia.# .

PS Variable SS(trace) pseudo-F 1,30 P R2
Marginal tests Depth 1360.10 10.77 <0.01 0.26
Sand 293.53 1.81 0.11 0.06
CDOM 49.23 0.29 0.60 0.01
Chlorophyll 799.91 5.52 0.02 0.16
Salinity 623.53 4.13 0.04 0.12
Temperature 1816.20 16.35 <0.01 0.35
Sequential test All combined 0.77
Best BIC R2
All except CDOM 137.95 0.76
Ba Variable SS(trace) pseudo-F 1,20 P R2
Marginal tests Depth 22.18 2.64 0.13 0.12
Sand 12.80 1.44 0.25 0.07
CDOM 44.89 6.18 0.02 0.24
Temperature 0.09 0.01 0.92 0.00
Sequential test All combined 0.39
Best BIC R2
CDOM, Temperature, Chlorophyll 46.16 0.38
Ta Variable SS(trace) pseudo-F 1,53 P R2
Marginal tests Depth 14561.00 77.01 <0.01 0.59
Sand 9675.90 34.40 <0.01 0.39
CDOM 2019.90 4.75 0.03 0.08
Chlorophyll 10185.00 37.50 <0.01 0.41
Salinity 11696.00 48.10 <0.01 0.48
Temperature 5375.80 14.84 <0.01 0.22
Sequential test All combined 0.74
Best BIC R2
Depth, Temperature, Chlorophyll 279.64 0.73

# The proportion of the variability explained by all variables combined was obtained in sequential tests using R2 selection criterion and Forward selection procedure. The overall best solution was obtained using the Bayesian Information Criterion (BIC), using all possible combinations of variables. P-values were calculated using 9,999 permutations. Ba: salinity and chlorophyll were removed from the model as they were strongly correlated with depth and temperature, respectively (|r|>0.95; see Table A in S1 Appendix).