Ecological Archives A015-013-A1

L. Ignacio Vilchis, Mia J. Tegner, James D. Moore, Carolyn S. Friedman, Kristin L. Riser, Thea T. Robbins, and Paul K. Dayton. 2005. Effects of ocean warming on the growth, reproduction, and survivorship of southern California abalone. Ecological Applications 15:469–480.

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



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