I want to use Adonis in R (non-parametric permutation MANOVA) to test for relationships between bray-curtis distances (dissimilarities I guess) for species data and various site characteristics that are continuous variables. I was able to get R to run this no problem (see output below), but I have no idea how this works, and was wondering if anyone could shed some light? The only info I can find on Permanova is for a ANOVA type of design where you are comparing groups, but my variables are continuous. Does it take the dissimilarity coefficients and regress them against the variables? The output looks exactly the same as would for the same test with categorical variables.

Any thoughts would be much appreciated. Thanks!

Brandi

P.S. I'm a biology student, not a stats person, so forgive me if this sounds like I have no idea what I'm talking about...

**R output:**

Call:

adonis(formula = crpsplog.dat ~ Forbs + Richness + Age + Litter + Shrubs + Grasses, data = crpveglog.dat, permutations = 4999, method = "bray")

Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)

Forbs 1 0.34302 0.34302 8.3190 0.32977 0.0002 ***

Richness 1 0.15779 0.15779 3.8268 0.15169 0.0154 *

Age 1 0.11212 0.11212 2.7191 0.10779 0.0422 *

Litter 1 0.00600 0.00600 0.1454 0.00577 0.9872

Shrubs 1 0.04832 0.04832 1.1720 0.04646 0.3328

Grasses 1 0.04307 0.04307 1.0445 0.04140 0.3768

Residuals 8 0.32986 0.04123 0.31712

Total 14 1.04018 1.00000