Hello Franz,

One possibility would be to do ordinations (preferably NMDS) and then do a 
Procrustes analysis. It is touted to be potentially more sensitive than a 
mantel test and using the protest command, you can get a correlation statistic 
and significance associated with the two datasets. The simplified explanation 
is that it scales and rotates the ordinations to the best fit possible. You can 
also view error plots that show you “movement” of the points in ordination 
space that can show trends or differences.

Best regards,
Erick

Erick LeBrun
PhD Student, Department of Biology
Kang Microbial Ecology Laboratory
erick_leb...@baylor.edu

On 10/18/16, 8:35 AM, "R-sig-ecology on behalf of mailbox Franz" 
<r-sig-ecology-boun...@r-project.org on behalf of f.k...@mailbox.org> wrote:

    Hi all,
    
    I am searching for a method to test weather a community is better predicted 
by an other community or by the environment in a mantel-test like framework?
    Any help would be appreciated. Platform preferably R. 
    
    All the best,
    Franz
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