A comparison of the power of categorical and correlational tests applied to community ecology data from gradient studies

By P. Somerfield, K. Robert Clarke, F. Olsgard. 2002

87 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/0c5a03d6bff58bd123234b4bd11e33ebf0ae7bdd

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

The ecodist Package for Dissimilarity-based Analysis of Ecological Data (2007, methodology): “Despite this, the test on dissimilarity matrices has higher statistical power than the equivalent ANOVA ( Somerfield, Clarke, and Olsgard 2002 ).”
Inverse analysis in non-parametric multivariate analyses: distinguishing groups of associated species which covary coherently across samples (2013, background): “Although there is no formal framework for addressing statistical power in this context (Somerfield et al., 2002), if the computation of variable associations is based on many samples (higher power to detect differences) then a more stringent significance level might be suggested.”
Cryptic speciation and the circumpolarity debate: A case study on endemic Southern Ocean octopuses using the COI barcode of life (2011, methodology): “Mantel tests were carried out in PRIMER (Clarke and Warwick, 1994), a computer package that calculates rank correlations between distance matrices as a measure of association (in the RELATE subroutine; Somerfield et al., 2002).”
Testing of null hypotheses in exploratory community analyses: similarity profiles and biota-environment linkage (2008, background): “Realistic options are restricted to simulations on specific datasets, Somerfield et al., 2002).”
On resemblance measures for ecological studies, including taxonomic dissimilarities and a zero-adjusted Bray–Curtis coefficient for denuded assemblages (2006, background): “For presence/ absence (P/A) data, Bray–Curtis reduces to the Sørensen (1948), or Dice (1945) dissimilarity:”
A generalised analysis of similarities (ANOSIM) statistic for designs with ordered factors (2021, methodology): “It is worth noting here that in addition to selecting a more appropriate and interpretable statistic in this context, an ordered ANOSIM procedure permits a stronger test (Somerfield et al. 2002), as reflected in the increased number of potentially distinct permutations (17325 cf. 5775).”