Dear list:

 

I am investigating the drivers of variance in fisheries yield over time,
across multiple sites (52).My aim is to isolate the drivers of yield in one
site compared to another, in order to investigate spatial heterogeneity in
the primary correlates.

 

To date i have approached this by calculating the importance of each
potential correlate (3) using an AIC framework (e.g. using model weights)
for each site. 

 

>From this analysis I have a matrix: of  site against variable importance 

 

To my question. First, does it make sense, from a theoretical perspective,
to make conclusions by comparing the importance of a variable in one region
to another, for example, making statements like: In site A temperature was
the most important variable in explaining changes in fisheries yield whilst
in site G it was productivity?

 

Second, I then clustered the variable  importance values and ended up with 3
distinct clusters, from which i want to say -yield within cluster one is
primarily driven by temperature, whilst for those sites in cluster 2 it is
driven by productivity?

 

I have got some nice results, that make sense from an ecological perspective
i just wanted to check my approach?

 

Thanks

 

 

 

 


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