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Topics in constrained and unconstrained ordination

Vol. 216, No. 5, Special Issue: Statistical Analysis of Ecological Communities: Progress, Status, and Future Directions (MAY 2015), pp. 683-696 (14 pages)

Jan 01, 2012 C2 Version 1.7.7 was used to calculate analogue statistics (Juggins, 2007) and CANOCO 5 was used to produce the CCA (ter Braak and Smilauer, 2018). Analyses were based on square root transformed. See full list on canoco5.com.

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Abstract

In this paper, we reflect on a number of aspects of ordination methods: how should absences be treated in ordination and how do model-based methods, including Gaussian ordination and methods using generalized linear models, relate to the usual least-squares (eigenvector) methods based on (log–) transformed data. We defend detrended correspondence analysis by theoretical arguments and by reanalyzing data that previously gave bad results. We show by examples that constrained ordination can yield more informative views on effects of interest compared to unconstrained ordination (where such effects can be invisible) and show how constrained axes can be interpreted. Constrained ordination uses an ANOVA/regression approach to enable the user to focus on particular aspects of species community data, in particular the effects of qualitative and quantitative environmental variables. We close with an analysis examining the interaction effects between two factors, and we demonstrate how principal response curves can help in their visualisation. Example data and Canoco 5 projects are provided as Supplementary Material.

Journal Information

Plant Ecology (formerly, Vegetatio) publishes original scientific papers on the ecology of vascular plants and bryophytes in terrestrial, aquatic and wetland ecosystems. The scope of the journal extents to papers reporting on descriptive, historical, and experimental studies of any aspect of plant population, physiological, community, ecosystem and landscape ecology as well as on theoretical ecology. Plant Ecology also presents symposium proceedings, review articles, book reviews, and comments on recent papers in the journal.

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Springer is one of the leading international scientific publishing companies, publishing over 1,200 journals and more than3,000 new books annually, covering a wide range of subjects including biomedicine and the life sciences, clinical medicine,physics, engineering, mathematics, computer sciences, and economics.

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Plant Ecology © 2015 Springer
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