Main content

GLS-corrected RLQ analysis: a new multivariate method for incorporating spatial and phylogenetic information into trait-environment analyses

Show full item record

Title: GLS-corrected RLQ analysis: a new multivariate method for incorporating spatial and phylogenetic information into trait-environment analyses
Author: Henry, Thomas
Department: Department of Integrative Biology
Program: Integrative Biology
Advisor: Newmaster, Steven
Abstract: A key goal in community ecology is to understand factors that shape the distribution of species on the landscape. One relevant factor is the relationship between the environment and species traits (environmental filtering). RLQ analysis is a multivariate method that measures the relationship between species traits and the environment. However, it ignores spatial and phylogenetic patterns in the data. In this thesis, I develop a method for incorporating spatial and phylogenetic information into RLQ analysis. In the first chapter, I demonstrate that phylogenetic and spatial effects bias multivariate statistical methods, and that methods based on the generalized least squares (GLS) framework can remove this bias. In the second chapter, I develop a new variant of RLQ analysis based on the GLS framework. In the third chapter, I use an existing dataset on herbaceous plant communities in Ontario forests as a case study for the new GLS-based RLQ method.
URI: http://hdl.handle.net/10214/9726
Date: 2016-05


Files in this item

Files Size Format View Description
Henry_Thomas_201605_MSc.pdf 4.467Mb PDF View/Open M.Sc. Thesis

This item appears in the following Collection(s)

Show full item record