2003
DOI: 10.3354/meps250029
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Influence of taxonomic resolution, biological attributes and data transformations on multivariate comparisons of rocky macrofaunal assemblages

Abstract: Multivariate comparisons of impacted and non-impacted biotic assemblages require decisions to be made about the taxonomic resolution to be used, biological attributes to be measured and whether the contributions of common, or combinations of common, intermediate and rare taxa should be emphasised. This study shows how these decisions affect comparisons of exploited and non-exploited rocky infratidal macrofaunal assemblages distributed across a biogeographic transition zone on the south-east coast of South Afri… Show more

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Cited by 33 publications
(22 citation statements)
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“…This was especially true with tests based on densities. ANOSIM is sensitive to the level of taxonomic resolution: values of the R-statistic generally decrease as the level of taxonomic resolution increases (Somerfield & Clarke 1995, Lasiak 2003. For the V and F regions, most of the significant differences with other regions occurred up to the Phyla level.…”
Section: Influence Of Taxonomic Resolution and Data Transformationmentioning
confidence: 99%
“…This was especially true with tests based on densities. ANOSIM is sensitive to the level of taxonomic resolution: values of the R-statistic generally decrease as the level of taxonomic resolution increases (Somerfield & Clarke 1995, Lasiak 2003. For the V and F regions, most of the significant differences with other regions occurred up to the Phyla level.…”
Section: Influence Of Taxonomic Resolution and Data Transformationmentioning
confidence: 99%
“…To date, only one study specifically investigated the performance of the TS approach on other types of disturbance (e.g. invertebrate exploitation), comparing rocky-shore communities in exploited and protected areas at different taxonomic resolutions (Lasiak 2003). Lasiak (2003) found that even though the data matrices at different taxonomic resolutions were strongly correlated, clear, significant differences between exploited and non-exploited assemblages only occurred at species level.…”
Section: Introductionmentioning
confidence: 99%
“…invertebrate exploitation), comparing rocky-shore communities in exploited and protected areas at different taxonomic resolutions (Lasiak 2003). Lasiak (2003) found that even though the data matrices at different taxonomic resolutions were strongly correlated, clear, significant differences between exploited and non-exploited assemblages only occurred at species level. In the latter case, anthropogenic exploitation changed the assemblages in a different way as it was essentially targeting a single group, the molluscs (Bigalke 1973, Lasiak 1992, therefore, resulting in differences in abundance rather than in species composition (Lasiak 1998).…”
Section: Introductionmentioning
confidence: 99%
“…order or phylum) are sufficient for the detection of impacts on the marine environment (Warwick 1988a,b). Moreover, even broad-scale regional patterns can be detected using phylum-level identifications (Lasiak 2003) or at the very least, data aggregated to the family level (Hewlett 2000). These findings have important implications for the design of future sampling programs because they suggest that, by adopting a coarser taxonomic level identification, similar outcomes may be achieved with reduced sample processing costs.…”
Section: Introductionmentioning
confidence: 72%
“…The degree to which anthropogenic impacts can be detected using coarser taxonomic resolution has been widely documented among soft bottom (Ferrero & Cole 1995, Somerfield & Clarke 1995, Vanderklift et al 1996, Olsgard et al 1997, Stark et al 2003) and other benthic marine environments (Smith & Simpson 1993, Lasiak 2003, Anderson et al 2005a. Fewer studies have examined the extent to which taxonomic resolution influences the detection of natural patterns and gradients in community structure among unimpacted benthic environments, despite the potential time and cost savings that may be accrued.…”
Section: Introductionmentioning
confidence: 99%