[R-sig-eco] predict community by community and environment

[Leonardo Ré Jorge]

Dear Franz,

An approach that should fit quite well to your intention is Generalized
Dissimilarity Modellling (GDMs - Ferrier 2007:
http://doi.wiley.com/10.1111/j.1472-4642.2007.00341.x). You can model the
compositional dissimilarities among your communities relative to both
environmental differences and differences in composition of another
taxonomic group. This has also the advantage of allowing you to include the
spatial distance among your communities as a predictor, accounting for
spatial autocorrelation. Your final output should give you a measure of
relative effects of each predictor. GDMs are implemented in the R package
gdm.

Best regards,
Leonardo

On Tue, Oct 18, 2016 at 12:54 PM, LeBrun, Erick <Erick_LeBrun at baylor.edu>
wrote:

> 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_LeBrun at baylor.edu
>
> On 10/18/16, 8:35 AM, "R-sig-ecology on behalf of mailbox Franz" <
> r-sig-ecology-bounces at r-project.org on behalf of f.krah at 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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