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Table 3.
Model ParameterEstimateaAdjusted SEz ValueP Value
Intercept –5.406 0.604 8.96 < .001 
BLD 4.681 0.973 4.81 < .001 
CAG 2.191 0.502 4.36 < .001 
Algae 0.882 0.886 1.00 .32 
CCA 2.178 1.090 2.00 .05 
AlgaeNeib 1.562 1.097 1.42 .15 
dBLOCK –0.205 0.195 1.05 .29 
Model ParameterEstimateaAdjusted SEz ValueP Value
Intercept –5.406 0.604 8.96 < .001 
BLD 4.681 0.973 4.81 < .001 
CAG 2.191 0.502 4.36 < .001 
Algae 0.882 0.886 1.00 .32 
CCA 2.178 1.090 2.00 .05 
AlgaeNeib 1.562 1.097 1.42 .15 
dBLOCK –0.205 0.195 1.05 .29 

SE = standard error; BLD = boulder; CAG = cobble and gravel; AlgaeNeib = neighboring foliose algae; CCA = crustose coralline algae; dBLOCK = distance to block.

aCoefficients are shrinked estimates resulting from the “full” average (i.e., considering a parameter equal to zero when not present in a given model). Values are in the scale of individual linear predictor.

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