Analysis of relative abundances on environmental gradients

Current affiliation: Systems Ecology and Resource Management Research Unit, Université Libre de Bruxelles - ULB, Brussels, Belgium
School of Environmental Sciences, University of Liverpool, Liverpool, United Kingdom
DOI
10.7287/peerj.preprints.26908v1
Subject Areas
Ecology, Marine Biology, Mathematical Biology
Keywords
compositional data analysis, fouling communities, environmental gradients, linear algebra
Copyright
© 2018 Chong et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Chong F, Spencer M. 2018. Analysis of relative abundances on environmental gradients. PeerJ Preprints 6:e26908v1

Abstract

Ecologists often analyze relative abundances, which are compositions (sets of non-negative numbers with a fixed sum). However, they have made surprisingly little use of recent advances in the field of compositional data analysis. Compositions form a vector space in which addition and scalar multiplication are replaced by operations known as perturbation and powering. This algebraic structure makes it easy to understand how relative abundances change along environmental gradients. We illustrate this with an analysis of changes in hard-substrate marine communities along a depth gradient. We show how the algebra of compositions can be used to understand patterns in dissimilarity. We use the calculus of simplex-valued functions to estimate rates of change, and to summarize the structure of the community over a vertical slice. We discuss the benefits of the compositional approach in the interpretation and visualization of relative abundance data.

Author Comment

This is a submission to PeerJ for review.

Supplemental Information

Raw relative abundance data, R code, stan code

DOI: 10.7287/peerj.preprints.26908v1/supp-1

Supplemental information on model fitting

DOI: 10.7287/peerj.preprints.26908v1/supp-2