PERMANOVA, ANOSIM, and the Mantel test in the face of heterogeneous dispersions: What null hypothesis are you testing?

By Marti J. Anderson, D. Walsh. 2013

1,834 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/219f07b938175623ed9db7d798cbc6ef29e5e4aa

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Fungal community homogenization, shift in dominant trophic guild, and appearance of novel taxa with biotic invasion (2017, methodology): “Permutation ANOVA (PERMANOVA; Anderson 2001) and heterogeneity of multivariate dispersion (PERMDISP; Anderson and Walsh 2013) were run using the functions adonis and betadisper in the vegan package.”
Normalization and microbial differential abundance strategies depend upon data characteristics (2017, background): “[10], we observed substantial biases/confounding of results due to sequencing depth in PERMANOVA [61], partially because of low biological effect size (R(2) or sum of squares’ group/total sum of squares) (Fig.”
Coastal habitats and their importance for the diversity of benthic communities: A species- and trait-based approach (2019, methodology): “Since PERMANOVA is very robust to heterogeneity, but only if the design is balanced (Anderson and Walsh, 2013), a balanced design was achieved by randomly selecting 12 replicates from each of the other four habitats (Fucus, Rock, Zostera Epifauna, Zostera Infauna).”
QIIME 2 Enables Comprehensive End‐to‐End Analysis of Diverse Microbiome Data and Comparative Studies with Publicly Available Data (2020, background): “See Anderson and Walsh (2013) for an overview of these tests.”
Comparing colors using visual models (2018, neutral): “2012; Anderson and Walsh 2013).”
Cultivating the Macroalgal Holobiont: Effects of Integrated Multi-Trophic Aquaculture on the Microbiome of Ulva rigida (Chlorophyta) (2020, positive): “The results were cross-validated with Permanova (999 random permutations) (Anderson, 2001; Anderson and Walsh, 2013).”
A hyper‐arid environment shapes an inverse pattern of the fast–slow plant economics spectrum for above‐, but not below‐ground resource acquisition strategies (2018, methodology): “To test the effects of aridity on CWM, we performed a non-parametric permutational multivariate analysis of variance (PERMANOVA; Anderson & Walsh, 2013) using sites as independent factors.”