Hi Christina, I suppose you could use them that way? Getting info on all sorts of influences at a relatively high spatial resolution is very costly/impossible. If all kinds of unknown exposure routes have to be calculated and assumed this makes the model pretty soft.   We did use a model on observational data to determine a sampling set up. Model outcomes pointed to certain risk areas on the the scale of say 20-100 sq kilometers and we sampled in high and low risk areas for pathogens and pesticides. I can't say anything about methods or outcome as we still have to publish it, I spend a lot of months developing methodology, I hope it goes out soon.  Bees die for several sorts of reasons, it could very well be that these reasons are not interconnected but that in a lot of different localities different reasons play. And in some localities bees really thrive.  Lennard
  		 	   		  
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