1996
DOI: 10.1002/(sici)1099-0755(199609)6:3<115::aid-aqc188>3.0.co;2-t
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Weighting species abundance estimates for marine resource assessment
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Cited by 16 publications
(10 citation statements)
References 14 publications
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“…The NMDS algorithm ranks distances between objects and uses these ranks to map the objects nonlinearly in two-dimensional ordination space to maintain ranked differences . CCA, PCA, and NMDS are used to compress data sets based on dissimilarity, but there are multiple means of measuring that dissimilarity which include Bray–Curtis, unweighted Unifrac, and weighted Unifrac tested in the current work. , Significances of multivariate analyses were tested through ANOVA, ANOSIM, and ADONIS through the VEGAN package. Pearson’s correlation coefficients were used to determine correlations between taxa abundance, stability, and electrochemical settings.…”
Section: Methodsmentioning
confidence: 99%
“…The NMDS algorithm ranks distances between objects and uses these ranks to map the objects nonlinearly in two-dimensional ordination space to maintain ranked differences . CCA, PCA, and NMDS are used to compress data sets based on dissimilarity, but there are multiple means of measuring that dissimilarity which include Bray–Curtis, unweighted Unifrac, and weighted Unifrac tested in the current work. , Significances of multivariate analyses were tested through ANOVA, ANOSIM, and ADONIS through the VEGAN package. Pearson’s correlation coefficients were used to determine correlations between taxa abundance, stability, and electrochemical settings.…”
Section: Methodsmentioning
confidence: 99%
“…Predicted communities were compared to observed communities using Bray−Curtis similarity scores and compared to two null models based on average taxa abundance and minimum taxa abundance. 46 Paired t tests comparing the predicted similarity scores to each of the null models were used to determine significance (p < 0.05).…”
Section: Methodsmentioning
confidence: 99%
“…Predictions accuracy was based on the statistical significance of performance predictions over null models determined by mean power, efficiency, and treatment rates across all reactors ( p < 0.05). Predicted communities were compared to observed communities using Bray–Curtis similarity scores and compared to two null models based on average taxa abundance and minimum taxa abundance . Paired t tests comparing the predicted similarity scores to each of the null models were used to determine significance ( p < 0.05).…”
Section: Methodsmentioning
confidence: 99%
“…To investigate the effects of disturbance on the structure of recruit cornrnunities at each site, comrnunity distance was measured using the Bray-Curt1.s similarity coefficient and represented using non-metric multidimensional scaling (MDS). The Bray-Curtis similarity coefficient has a number of desirable properties for measuring community similarities, such as ignoring joint absences of species (Mumby et al 1996), and. is a robust measure of ecological distance (Faith et al 1987).…”
Section: Methodsmentioning
confidence: 99%
