Measures of precision for dissimilarity-based multivariate analysis of ecological communities
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...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
Blackwell Publishing Ltd
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/37308 |
| _version_ | 1848755010582609920 |
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| author | Anderson, M. Santana Garcon, Julia |
| author_facet | Anderson, M. Santana Garcon, Julia |
| author_sort | Anderson, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T08:49:30Z |
| format | Journal Article |
| id | curtin-20.500.11937-37308 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:49:30Z |
| publishDate | 2015 |
| publisher | Blackwell Publishing Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-373082018-03-29T09:07:22Z Measures of precision for dissimilarity-based multivariate analysis of ecological communities Anderson, M. Santana Garcon, Julia 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. 2015 Journal Article http://hdl.handle.net/20.500.11937/37308 10.1111/ele.12385 Blackwell Publishing Ltd restricted |
| spellingShingle | Anderson, M. Santana Garcon, Julia Measures of precision for dissimilarity-based multivariate analysis of ecological communities |
| title | Measures of precision for dissimilarity-based multivariate analysis of ecological communities |
| title_full | Measures of precision for dissimilarity-based multivariate analysis of ecological communities |
| title_fullStr | Measures of precision for dissimilarity-based multivariate analysis of ecological communities |
| title_full_unstemmed | Measures of precision for dissimilarity-based multivariate analysis of ecological communities |
| title_short | Measures of precision for dissimilarity-based multivariate analysis of ecological communities |
| title_sort | measures of precision for dissimilarity-based multivariate analysis of ecological communities |
| url | http://hdl.handle.net/20.500.11937/37308 |