The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Multivariate dispersion as a measure of beta diversity
Abstract
Beta diversity can be defined as the variability in species composition among sampling units for a given area. We propose that it can be measured as the average dissimilarity from individual observation units to their group centroid in multivariate space, using an appropriate dissimilarity measure. Differences in beta diversity among different areas or groups of samples can be tested using this approach. The choice of transformation and dissimilarity measure has important consequences for interpreting results. For kelp holdfast assemblages from New Zealand, variation in species composition was greater in smaller holdfasts, while variation in relative abundances was greater in larger holdasts. Variation in community structure of Norwegian continental shelf macrobenthic fauna increased with increases in environmental heterogeneity, regardless of the measure used. We propose a new dissimilarity measure which allows the relative weight placed on changes in composition vs. abundance to be specified explicitly.
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Cites
A new method for non-parametric multivariate analysis of variance
Anderson, M. J. (2001) · Austral Ecology · doi:10.1111/j.1442-9993.2001.01070.pp.x · Cited by 13,828
Self-citationEcologically meaningful transformations for ordination of species data
Legendre, P., & Gallagher, E. D. (2001) · Oecologia · doi:10.1007/s004420100716 · Cited by 5,556
Distance‐Based Tests for Homogeneity of Multivariate Dispersions
Anderson, M. J. (2006) · Biometrics · doi:10.1111/j.1541-0420.2005.00440.x · Cited by 3,304
Self-citationAggregation, Variance and the Mean
TAYLOR, L. R. (1961) · Nature · doi:10.1038/189732a0 · Cited by 2,496
Searle, S. R., Casella, G., & McCulloch, C. E. (1992) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316856 · Cited by 1,926
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Interpreting the replacement and richness difference components of beta diversity
Legendre, P. (2014) · Global Ecology and Biogeography · doi:10.1111/geb.12207 · Cited by 1,115
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Looft, T., Johnson, T. A., Allen, H. K., Bayles, D. O., Alt, D. P., Stedtfeld, R. D., Sul, W. J., Stedtfeld, T. M., Chai, B., Cole, J. R., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1120238109 · Cited by 1,072
Taylor, S. L., Leong, L. E. X., Choo, J. M., Wesselingh, S., Yang, I. A., Upham, J. W., Reynolds, P. N., Hodge, S., James, A. L., Jenkins, C., et al. (2018) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2017.03.044 · Cited by 314
Kern, T., Blond, M. B., Hansen, T. H., Rosenkilde, M., Quist, J. S., Gram, A. S., Ekstrøm, C. T., Hansen, T., & Stallknecht, B. (2020) · International Journal of Obesity · doi:10.1038/s41366-019-0440-y · Cited by 130
Metadata
- Authors
- Anderson, M. J., Ellingsen, K. E., & McArdle, B. H.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2006-04-25
- Volume
- 9
- Issue
- 6
- Pages
- 683-693
- ISSN
- 1461-023X (ISSN-L)
- 1461-0248
- OpenAlex
- W2127366570
- Cited by
- 2,688
- References
- 5
- FWCI
- 12.03
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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