RTCC: RTCC: Detecting trait clustering in environmental gradients...

In RTCC: Detecting Trait Clustering in Environmental Gradients

Description

A set of functions which allows to determine if the observed traits present clustering/overdispersion patterns on the observed samples, and if so, to stablish if the observed pattern is linked to the effect of an environmental gradient.

Details

The study of phenotypic similarities and differences within species along environmental gradients might be used as a powerful tool complementing taxon-based approaches when assesing the contribution of stochastic and deterministic processes in community assembly. For this, this package allows an easy implementation of a method for detecting clustering/overdispersion patterns along an environmental gradient (Triado-Margarit et al., 2019). A first function assesses if the observed traits exhibit a clustering/overdispersion pattern on the tested samples. If positive, two subsequent functions determine whether the observed pattern is linked to the effect of an environmental varible and its statistical significance.

Data entry

The data consists on presence-absence observations along a measured environmental gradient and trait quantitative information of the observed organisms.

References

Triado-Margarit, X., Capitan, J.A., Menendez-Serra, M. et al. (2019) A Randomized Trait Community Clustering approach to unveil consistent environmental thresholds in community assembly. ISME J 13, 2681–2689 . https://doi.org/10.1038/s41396-019-0454-4

RTCC documentation built on July 1, 2020, 7:06 p.m.