Hi,
I would be very graitful if someone could help me to figure out my problem.

 I used mixed-effects models to analyse my data and AIC approach for model  selection. I am studying an effect on Labrador tea on basal diameter of spruce in 2 different habitats (wet and dry zones) during 3 years.
This is one of example of my AIC table:

 
  
   
   Candidate
   models
   
   
   K
   
   
   AICc
   
   
   $B&$(B AICc
   
   
   AICc Wt
   
  
 
 
  
  Zone + Labrador tea + Year
  
  
  9
  
  
  -17.75
  
  
  0.00
  
  
  0.80
  
 
 
  
  Zone + Labrador tea + Year + Zone $B!_(B Labrador tea
  
  
  10
  
  
  -14.69
  
  
  3.06
  
  
  0.17
  
 
 
  
  Zone + Labrador tea + Year + Year $B!_(B Labrador tea
  
  
  12
  
  
  -11.21
  
  
  6.53
  
  
  0.03
  
 
 
  
  Zone + Labrador tea
  
  
  6
  
  
  71.14
  
  
  88.88
  
  
  0.00
  
 
 
  
  Zone + Labrador tea + Zone $B!_(B Labrador tea
  
  
  7
  
  
  73.85
  
  
  91.59
  
  
  0.00
  
 

I interpreted the main effect of zone, Labrador tea and Year. My question is should I interpret the interaction term  Zone $B!_(B Labrador tea  also? Normally I interpreted the effect of variables that have been in the models with $B&$(B AICc < 4. 
One professor said I should not interpred interaction term if the main effect is stronger. But at the same time I saw articles where author interpreted the interaction term where Akaike weight was still high.

Thank you in advance.
Galina 		 	   		  
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