Dear list members,
I am performing a study in which I analyse species abundance and composition
under four different treatments + 1 control, each replicated four times. In
order to have an idea on baseline natural variation in species abundance and
composition, I think about using null models based on the observations from the
control. My idea was to use the mean and standard deviation to generate random
replicates with which the observations from the different treatments would be
compared and effect sizes measured. I like to perform similar analysis for the
multivariate approach based on species composition, but I do not really figure
out how to do this.
Do you think it is a reasonable approach and would you have some indications
how to design these null models (possibly in R)?
Thank you very much
Valerie
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