Dear friends,
I am facing a problem that I am sure many of you have faced already.
I am analyzing a cacti community dataset and want to partial out the
spatial effects. So I ask: is there any reason for not including x and y
UTM geographical coordinates as covariables in a perMANCOVA (main effect
= management [eucalyptus x cattle grazing])?
I am aware that another way round would be to carry a Mantel test on
geographical distances, the perMANOVA separately, and perhaps Borcard's
procedure to evaluate the % contribution of spatial and environmental
matrices on the species dissimilarity matrix. This second approach,
however, seems somewhat indirect and with too many analyses for me.
What do you thinkw
Kind regards,
Alexandre
Dr. Alexandre F. Souza
Programa de Pós-Graduação em Biologia: Diversidade e Manejo da Vida
Silvestre
Universidade do Vale do Rio dos Sinos (UNISINOS)
Av. UNISINOS 950 - C.P. 275, São Leopoldo 93022-000, RS - Brasil
Telefone: (051)3590-8477 ramal 1263
Skype: alexfadigas
[email protected]
http://www.unisinos.br/laboratorios/lecopop
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