Appendix A. Results of Tukey a posteriori tests for variables showing significance with the ANOVA test.
ANOVA model = Percent change in length ~ Seawater Temperature * Kelp Quantity * Kelp Quality, data = Haliotis rufescens
Tukey HSD Multiple Comparisons
Temperature
Matrix of pairwise comparison probabilities:
Cold
Amb
Warm
Cold
1.000
Amb
0.000
1.000
Warm
0.000
0.000
1.000
Quantity
Matrix of pairwise comparison probabilities:
High
Med
Low
High
1.000
Med
0.000
1.000
Low
0.000
0.000
1.000
Quality
Matrix of pairwise comparison probabilities:
High
Med
Low
High
1.000
Med
0.146
1.000
Low
0.000
0.000
1.000
Temperature × Quantity
Matrix of pairwise comparison probabilities:
Cold-High
Cold-Med
Cold-Low
Amb-High
Amb-Med
Amb-Low
Warm-High
Warm-Med
Warm-Low
Cold-High
1.000
Cold-Med
0.040
1.000
Cold-Low
0.000
0.000
1.000
Amb-High
0.387
0.977
0.000
1.000
Amb-Med
0.000
0.001
0.002
0.000
1.000
Amb-Low
0.000
0.000
0.000
0.000
0.000
1.000
Warm-High
0.000
0.000
0.231
0.000
0.663
0.000
1.000
Warm-Med
0.000
0.000
0.004
0.000
0.000
0.934
0.000
1.000
Warm-Low
0.000
0.000
0.000
0.000
0.000
0.004
0.000
0.000
1.000
Temperature × Quality
Matrix of pairwise comparison probabilities:
Cold-High
Cold-Med
Cold-Low
Amb-High
Amb-Med
Amb-Low
Warm-High
Warm-Med
Warm-Low
Cold-High
1.000
Cold-Med
0.550
1.000
Cold-Low
0.000
0.000
1.000
Amb-High
0.000
0.002
0.073
1.000
Amb-Med
0.000
0.031
0.006
0.991
1.000
Amb-Low
0.000
0.000
0.190
0.000
0.000
1.000
Warm-High
0.000
0.000
0.133
0.000
0.000
1.000
1.000
Warm-Med
0.000
0.000
0.000
0.000
0.000
0.307
0.404
1.000
Warm-Low
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.103
1.000
Quantity × Quality
Matrix of pairwise comparison probabilities:
High-High
High-Med
High-Low
Med-High
Med-Med
Med-Low
Low-High
Low-Med
Low-Low
High-High
1.000
High-Med
0.314
1.000
High-Low
0.000
0.000
1.000
Med-High
0.000
0.004
0.019
1.000
Med-Med
0.000
0.001
0.093
0.999
1.000
Med-Low
0.000
0.000
0.001
0.000
0.000
1.000
Low-High
0.000
0.000
0.000
0.000
0.000
0.494
1.000
Low-Med
0.000
0.000
0.000
0.000
0.000
0.307
1.000
1.000
Low-Low
0.000
0.000
0.000
0.000
0.000
0.004
0.513
0.717
1.000
ANOVA model = Percent change in length ~ Seawater Temperature * Kelp Quantity * Kelp Quality, data = Haliotis fulgens
Tukey HSD Multiple Comparisons
Temperature
Matrix of pairwise comparison probabilities:
Cold
Amb
Warm
Cold
1.000
Amb
0.000
1.000
Warm
0.563
0.003
1.000
Quantity
Matrix of pairwise comparison probabilities:
High
Med
Low
High
1.000
Med
0.000
1.000
Low
0.000
0.000
1.000
Quality
Matrix of pairwise comparison probabilities:
High
Med
Low
High
1.000
Med
0.999
1.000
Low
0.000
0.000
1.000
Temperature × Quantity
Matrix of pairwise comparison probabilities:
Cold-High
Cold-Med
Cold-Low
Amb-High
Amb-Med
Amb-Low
Warm-High
Warm-Med
Warm-Low
Cold-High
1.000
Cold-Med
0.000
1.000
Cold-Low
0.000
0.000
1.000
Amb-High
0.000
0.000
0.000
1.000
Amb-Med
0.000
0.459
0.000
0.000
1.000
Amb-Low
0.000
0.000
1.000
0.000
0.000
1.000
Warm-High
0.000
0.000
0.000
0.998
0.000
0.000
1.000
Warm-Med
0.000
0.739
0.000
0.000
0.009
0.000
0.000
1.000
Warm-Low
0.000
0.000
0.781
0.000
0.000
0.846
0.000
0.000
1.000
Quantity × Quality
Matrix of pairwise comparison probabilities:
High-High
High-Med
High-Low
Med-High
Med-Med
Med-Low
Low-High
Low-Med
Low-Low
High-High
1.000
High-Med
0.960
1.000
High-Low
0.000
0.000
1.000
Med-High
0.000
0.000
0.862
1.000
Med-Med
0.000
0.000
1.000
0.987
1.000
Med-Low
0.000
0.000
0.000
0.000
0.000
1.000
Low-High
0.000
0.000
0.000
0.000
0.000
0.036
1.000
Low-Med
0.000
0.000
0.000
0.000
0.000
0.025
1.000
1.000
Low-Low
0.000
0.000
0.000
0.000
0.000
0.000
0.613
0.695
1.000
ANOVA model = Percent change in weight ~ Seawater Temperature * Kelp Quantity * Kelp Quality, data = Haliotis rufescens
Tukey HSD Multiple Comparisons
Temperature
Matrix of pairwise comparison probabilities:
Cold
Amb
Warm
Cold
1.000
Amb
0.000
1.000
Warm
0.000
0.000
1.000
Quantity
Matrix of pairwise comparison probabilities:
High
Med
Low
High
1.000
Med
0.000
1.000
Low
0.000
0.000
1.000
Quality
Matrix of pairwise comparison probabilities:
High
Med
Low
High
1.000
Med
0.208
1.000
Low
0.000
0.000
1.000
Temperature × Quantity
Matrix of pairwise comparison probabilities:
Cold-High
Cold-Med
Cold-Low
Amb-High
Amb-Med
Amb-Low
Warm-High
Warm-Med
Warm-Low
Cold-High
1.000
Cold-Med
0.024
1.000
Cold-Low
0.000
0.000
1.000
Amb-High
0.057
1.000
0.000
1.000
Amb-Med
0.000
0.000
0.995
0.000
1.000
Amb-Low
0.000
0.000
0.000
0.000
0.000
1.000
Warm-High
0.000
0.000
0.597
0.000
0.150
0.000
1.000
Warm-Med
0.000
0.000
0.000
0.000
0.000
0.983
0.000
1.000
Warm-Low
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.001
1.000
Temperature × Quality
Matrix of pairwise comparison probabilities:
Cold-High
Cold-Med
Cold-Low
Amb-High
Amb-Med
Amb-Low
Warm-High
Warm-Med
Warm-Low
Cold-High
1.000
Cold-Med
0.145
1.000
Cold-Low
0.000
0.000
1.000
Amb-High
0.000
0.000
0.722
1.000
Amb-Med
0.000
0.004
0.184
0.990
1.000
Amb-Low
0.000
0.000
0.001
0.000
0.000
1.000
Warm-High
0.000
0.000
0.000
0.000
0.000
0.787
1.000
Warm-Med
0.000
0.000
0.000
0.000
0.000
0.154
0.967
1.000
Warm-Low
0.000
0.000
0.000
0.000
0.000
0.000
0.003
0.066
1.000
Quantity × Quality
Matrix of pairwise comparison probabilities:
High-High
High-Med
High-Low
Med-High
Med-Med
Med-Low
Low-High
Low-Med
Low-Low
High-High
1.000
High-Med
0.743
1.000
High-Low
0.000
0.000
1.000
Med-High
0.000
0.001
0.014
1.000
Med-Med
0.000
0.000
0.204
0.975
1.000
Med-Low
0.000
0.000
0.001
0.000
0.000
1.000
Low-High
0.000
0.000
0.000
0.000
0.000
0.998
1.000
Low-Med
0.000
0.000
0.000
0.000
0.000
0.991
1.000
1.000
Low-Low
0.000
0.000
0.000
0.000
0.000
0.128
0.473
0.605
1.000
ANOVA model = Percent change in weight ~ Seawater Temperature * Kelp Quantity * Kelp Quality, data = Haliotis fulgens
Tukey HSD Multiple Comparisons
Quantity
Matrix of pairwise comparison
probabilities:
High
Med
Low
High
1.000
Med
0.000
1.000
Low
0.000
0.000
1.000
Quality
Matrix of pairwise comparison
probabilities:
High
Med
Low
High
1.000
Med
0.995
1.000
Low
0.000
0.000
1.000
Temperature × Quantity
Matrix of pairwise comparison probabilities:
Cold-High
Cold-Med
Cold-Low
Amb-High
Amb-Med
Amb-Low
Warm-High
Warm-Med
Warm-Low
Cold-High
1.000
Cold-Med
0.000
1.000
Cold-Low
0.000
0.000
1.000
Amb-High
0.000
0.000
0.000
1.000
Amb-Med
0.001
1.000
0.000
0.000
1.000
Amb-Low
0.000
0.000
0.564
0.000
0.000
1.000
Warm-High
0.000
0.000
0.000
0.741
0.000
0.000
1.000
Warm-Med
0.000
0.998
0.000
0.000
0.945
0.000
0.000
1.000
Warm-Low
0.000
0.000
0.052
0.000
0.000
0.945
0.000
0.000
1.000
Quantity × Quality
Matrix of pairwise comparison probabilities:
High-High
High-Med
High-Low
Med-High
Med-Med
Med-Low
Low-High
Low-Med
Low-Low
High-High
1.000
High-Med
0.994
1.000
High-Low
0.000
0.000
1.000
Med-High
0.000
0.000
0.999
1.000
Med-Med
0.000
0.000
1.000
0.974
1.000
Med-Low
0.000
0.000
0.000
0.000
0.000
1.000
Low-High
0.000
0.000
0.000
0.000
0.000
0.046
1.000
Low-Med
0.000
0.000
0.000
0.000
0.000
0.114
1.000
1.000
Low-Low
0.000
0.000
0.000
0.000
0.000
0.000
0.271
0.127
1.000
ANOVA model = Log transformed GBI ~ Seawater Temperature * Kelp Quantity * Kelp Quality, data = Haliotis rufescens
Tukey HSD Multiple Comparisons
Temperature
Matrix of pairwise comparison probabilities:
Cold
Amb
Warm
Cold
1.000
Amb
0.422
1.000
Warm
0.020
0.292
1.000
Quantity
Matrix of pairwise comparison probabilities:
High
Med
Low
High
1.000
Med
0.000
1.000
Low
0.000
0.534
1.000
Quality
Matrix of pairwise comparison probabilities:
High
Med
Low
High
1.000
Med
0.467
1.000
Low
0.000
0.015
1.000
Quantity × Quality
Matrix of pairwise comparison probabilities:
High-High
High-Med
High-Low
Med-High
Med-Med
Med-Low
Low-High
Low-Med
Low-Low
High-High
1.000
High-Med
0.594
1.000
High-Low
0.000
0.007
1.000
Med-High
0.000
0.011
1.000
1.000
Med-Med
0.000
0.003
1.000
1.000
1.000
Med-Low
0.000
0.000
0.955
0.903
0.986
1.000
Low-High
0.000
0.000
0.955
0.903
0.986
1.000
1.000
Low-Med
0.000
0.000
0.991
0.972
0.999
1.000
1.000
1.000
Low-Low
0.000
0.000
0.986
0.962
0.997
1.000
1.000
1.000
1.000
ANOVA model = Log transformed GBI ~ Seawater Temperature * Kelp Quantity * Kelp Quality, data = Haliotis fulgens
Tukey HSD Multiple Comparisons
Temperature
Matrix of pairwise comparison probabilities:
Cold
Amb
Warm
Cold
1.000
Amb
0.941
1.000
Warm
0.002
0.005
1.000
Quantity
Matrix of pairwise comparison probabilities:
High
Med
Low
High
1.000
Med
0.003
1.000
Low
0.000
0.000
1.000
Quality
Matrix of pairwise comparison probabilities:
High
Med
Low
High
1.000
Med
0.957
1.000
Low
0.051
0.095
1.000
Temperature × Quantity
Matrix of pairwise comparison probabilities:
Cold-High
Cold-Med
Cold-Low
Amb-High
Amb-Med
Amb-Low
Warm-High
Warm-Med
Warm-Low
Cold-High
1.000
Cold-Med
0.995
1.000
Cold-Low
0.019
0.150
1.000
Amb-High
0.695
0.208
0.000
1.000
Amb-Med
0.999
1.000
0.112
0.267
1.000
Amb-Low
0.000
0.004
0.916
0.000
0.003
1.000
Warm-High
0.001
0.000
0.000
0.102
0.000
0.000
1.000
Warm-Med
0.484
0.104
0.000
1.000
0.141
0.000
0.204
1.000
Warm-Low
0.000
0.004
0.908
0.000
0.003
1.000
0.000
0.000
1.000
ANOVA model = Post-Esophagus RLP burden score ~ Seawater Temperature * Kelp Quantity * Kelp Quality, data = Haliotis rufescens
Tukey HSD Multiple Comparisons
Temperature
Matrix of pairwise comparison
probabilities:
Cold
Amb
Warm
Cold
1.000
Amb
0.001
1.000
Warm
0.000
0.077
1.000
ANOVA model = Digestive Gland Atrophy ~ Seawater Temperature * Kelp Quantity * Kelp Quality, data = Haliotis rufescens
Tukey HSD Multiple Comparisons
Temperature
Matrix of pairwise comparison probabilities:
Cold
Amb
Warm
Cold
1.000
Amb
0.000
1.000
Warm
0.000
0.038
1.000
Quantity
Matrix of pairwise comparison probabilities:
High
Med
Low
High
1.000
Med
0.590
1.000
Low
0.000
0.000
1.000
Quality
Matrix of pairwise comparison probabilities:
High
Med
Low
High
1.000
Med
0.072
1.000
Low
0.957
0.038
1.000
Temperature × Quantity
Matrix of pairwise comparison probabilities:
Cold-High
Cold-Med
Cold-Low
Amb-High
Amb-Med
Amb-Low
Warm-High
Warm-Med
Warm-Low
Cold-High
1.000
Cold-Med
1.000
1.000
Cold-Low
0.742
0.586
1.000
Amb-High
0.427
0.289
1.000
1.000
Amb-Med
0.949
0.869
1.000
0.987
1.000
Amb-Low
0.000
0.000
0.004
0.016
0.001
1.000
Warm-High
0.427
0.289
1.000
1.000
0.987
0.016
1.000
Warm-Med
0.000
0.000
0.032
0.107
0.008
0.998
0.107
1.000
Warm-Low
0.000
0.000
0.001
0.004
0.000
1.000
0.004
0.949
1.000
ANOVA model = Foot Muscle Degeneration ~ Seawater Temperature * Kelp Quantity * Kelp Quality, data = Haliotis rufescens
Tukey HSD Multiple Comparisons
Temperature
Matrix of pairwise comparison probabilities:
Cold
Amb
Warm
Cold
1.000
Ambient
0.862
1.000
Warm
0.001
0.003
1.000
Quantity
Matrix of pairwise comparison probabilities:
High
Med
Low
High
1.000
Med
0.190
1.000
Low
0.000
0.016
1.000
Quality
Matrix of pairwise comparison probabilities:
High
Med
Low
High
1.000
Med
0.128
1.000
Low
0.461
0.007
1.000
ANOVA model = Foot Muscle Degeneration ~ Seawater Temperature * Kelp Quantity * Kelp Quality, data = Haliotis fulgens
Tukey HSD Multiple Comparisons
Quality
Matrix of pairwise comparison
probabilities:
High
Med
Low
High
1.000
Med
0.857
1.000
Low
0.095
0.028
1.000
ANOVA model = Percent mortality ~ Seawater Temperature * Kelp Quantity * Kelp Quality, data = Haliotis rufescens
Tukey HSD Multiple Comparisons
Temperature
Matrix of pairwise comparison
probabilities:
Cold
Amb
Warm
Cold
1.000
Amb
1.000
1.000
Warm
0.000
0.000
1.000
Quantity
Matrix of pairwise comparison
probabilities:
High
Med
Low
High
1.000
Med
0.914
1.000
Low
0.078
0.030
1.000
Temperature × Quantity
Matrix of pairwise comparison probabilities:
Cold-High
Cold-Med
Cold-Low
Amb-High
Amb-Med
Amb-Low
Warm-High
Warm-Med
Warm-Low
Cold-High
1.000
Cold-Med
1.000
1.000
Cold-Low
1.000
1.000
1.000
Amb-High
1.000
1.000
1.000
1.000
Amb-Med
1.000
1.000
1.000
1.000
1.000
Amb-Low
1.000
1.000
1.000
1.000
1.000
1.000
Warm-High
0.025
0.025
0.063
0.063
0.025
0.025
1.000
Warm-Med
0.063
0.063
0.142
0.142
0.063
0.063
1.000
1.000
Warm-Low
0.000
0.000
0.000
0.000
0.000
0.000
0.009
0.003
1.000