Carrion Ecology: What is the best way the statistically analyse the correlation of bacteria community data to volatile profiles and to fly community data across 3 time points using ordination techniques in R? I have data of carrion-associated bacteria (snout swabs, NGS) for timepoint 1,2,3 and cadaver volatiles (GC-MS data) for time points 1,2,3 together with blow fly, flesh fly and true fly abundance and species data for time points 2 and 3 derived from 75 stillborn piglet cadavers. Cadavers were exposed in differently managed forests in 3 study regions (75 sites). I want to correlate the bacteria matrices with volatile matrices and fly matrices to see if there is a temporal change of bacteria, volatiles and flies and want to look for indicator species. I want to use ordination methods not to loose species information. I read about coinerta analysis but I have more than one matrix to correlate with traits. Do you have any fancy idea how to analyse the data?
Before the experment, we discussed this topic with other carrion researchers. It turned out that this area is a good candidate to follow cadaver decomposition (the microbial communities in the snout are more likely to represent a “microbial clock” compared to internal communities from eg anal swabs which are more influenced with diet, weight,...).
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