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dc.contributor.authorAnderson, M.
dc.contributor.authorSantana Garcon, Julia
dc.date.accessioned2017-01-30T14:01:41Z
dc.date.available2017-01-30T14:01:41Z
dc.date.created2015-12-10T04:26:13Z
dc.date.issued2015
dc.identifier.citationAnderson, M. and Santana Garcon, J. 2015. Measures of precision for dissimilarity-based multivariate analysis of ecological communities. Ecology Letters. 18 (1): pp. 66-73.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/37308
dc.identifier.doi10.1111/ele.12385
dc.description.abstract

Ecological studies require key decisions regarding the appropriate size and number of sampling units. No methods currently exist to measure precision for multivariate assemblage data when dissimilarity-based analyses are intended to follow. Here, we propose a pseudo multivariate dissimilarity-based standard error (MultSE) as a useful quantity for assessing sample-size adequacy in studies of ecological communities. Based on sums of squared dissimilarities, MultSE measures variability in the position of the centroid in the space of a chosen dissimilarity measure under repeated sampling for a given sample size. We describe a novel double resampling method to quantify uncertainty in MultSE values with increasing sample size. For more complex designs, values of MultSE can be calculated from the pseudo residual mean square of a permanova model, with the double resampling done within appropriate cells in the design. R code functions for implementing these techniques, along with ecological examples, are provided.

dc.publisherBlackwell Publishing Ltd
dc.titleMeasures of precision for dissimilarity-based multivariate analysis of ecological communities
dc.typeJournal Article
dcterms.source.volume18
dcterms.source.number1
dcterms.source.startPage66
dcterms.source.endPage73
dcterms.source.issn1461-023X
dcterms.source.titleEcology Letters
curtin.departmentDepartment of Environment and Agriculture
curtin.accessStatusFulltext not available


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