GIVING MEANINGFUL INTERPRETATION TO ORDINATION AXES: ASSESSING LOADING SIGNIFICANCE IN PRINCIPAL COMPONENT ANALYSIS

By P. Peres‐Neto, Donald A. Jackson, Keith M. Somers. 2003

408 citations recorded by the source corpus.

Subfields: Nature and Landscape Conservation, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/badc2e6daae3084e39d680b7b8d9fc15f12b9452

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In Nature and Landscape Conservation

In Statistics and Probability

Citations in the corpus

Reconstructing community relationships: the impact of sampling error, ordination approach, and gradient length (2007, methodology): “It provides an effective method when there are linear relationships between variables (see Peres-Neto et al ., 2003).”
Specialised woodpeckers and naturalness in hemiboreal forests - Deriving quantitative targets for conservation planning (2008, methodology): “We interpreted the number of significant axes and their association with the original variables using the broken-stick criterion (Jackson, 1993; Peres-Neto et al., 2003).”
Variation partitioning of species data matrices: estimation and comparison of fractions. (2006, methodology): “We decided to use large generated populations instead of standard protocols such as generating samples using established correlation matrices (see Peres-Neto et al. 2003 for an example) or by defining the q2 as in the method introduced by Cramer (1987).”
Disturbance heterogeneity determines freshwater metacommunity structure (2004, methodology): “The significance of variable loadings was assessed via 10 000 runs of a bootstrapped broken-stick model (Peres-Neto et al. 2003).”
Using functional traits to investigate the determinants of crustacean zooplankton community structure (2013, methodology): “2) that were strongly correlated (simple correlations) were not well summarized by any component in particular as they shared variation with diff erent sets of variables, and hence with other components (see Peres-Neto et al. 2003 for in-depth coverage of this issue).”
Bootstrap based confidence limits in principal component analysis: a case study (2013, methodology): “In order to perform re-ordering and reflection, a correlation matrix between the PCs in the bootstrap sample and the PCs of the empirical data is calculated [22].”
Thresholds in Forest Bird Response to Habitat Alteration as Quantitative Targets for Conservation (2005, positive): “We determined the number of interpretable principal components and their association with particular variables with the broken-stick criterion ( Jackson 1993; Peres-Neto et al. 2003).”