I study fish assemblage structures, which observed unimodal response to environmental gradient and relationships between environmental factors.
I would like to use constrained ordination methods (like RDA or CCA), which allow to use bray-curtis dissimilarity matrix.
(If I choose using RDA or CCA , I will choose CCA.)
I think CAP or db-RDA is useful for my study.
When assemblages response unimodal to environmental factors, which should I choose CAP or db-RDA?
I think this article will tell you:
A. Ramette (2007) Multivariate analyses in microbial ecology, FEMS Microbiology Ecology, 62, 142-160
Similar question:
https://www.researchgate.net/post/What_are_the_differences_between_db-RDA_and_CAP_analysis
Xabier Vázquez-Campos
Thank you for your reply.
I have another question.
Is there an analysis called distance-based canonical correspondence analysis(db-CCA) in ordination methods ?
I would like to use constrained ordination methods (like CCA), which allow to use bray-curtis dissimilarity matrix, because the assemblages to be analyzed is observed unimodal response to environmental gradients.
Andrew Paul McKenzie Pegman
Thank you for your reply.
I have another question.
Is there an analysis called distance-based canonical correspondence analysis(db-CCA) in ordination methods ?
I would like to use constrained ordination methods (like CCA), which allow to use bray-curtis dissimilarity matrix, because the assemblages to be analyzed is observed unimodal response to environmental gradients.
Yes, distance-based canonical correspondence analysis allows the interpretation to focus on the ordination of objects because the distances among objects approximate their Euclidean distances in the space of response variables.
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