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Indicator analysis is an ecological tool that is used to identify species that define an environment.
Indicator analysis is an ecological tool that identifies members (in this case, OTUs) that 'define' a population, based on their presence and relative abundance.
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In order to discover significant associations between fungal OTUs of asymptomatic/symptomatic twigs and olive cultivars, a species indicator analysis was carried out using preselected OTUs by the random forest analysis.
Significance level for the indicator analysis was set at 0.05 with an indicator value greater than 0.50.
As BMI was missing in 247 (24 cases and 223 controls) of 2,963 women, multiple imputation (50 repeats) and proxy indicator analysis were used to estimate the association between ICP and perinatal outcomes, based on birthweight, delivery mode, ethnic group, and parity.
Indicator Species Analysis was applied to determine indicator species for the different groups (Dufrene and Legendre 1997).
If only univariate analysis was reported, we recorded these results instead, but also retained an indicator of which analysis is reported.
The indicator species analysis was performed separately for Swiss mountain (n = 3510) and lowland forests (n = 2952).
Canonical Correspondence Analysis, Kruskal Wallis multiple comparison of mean ranks for all groups, frequency tables with Chi-Square tests and indicator species analysis were used.
Boosted regression trees, quantile regression and Threshold Indicator Taxa Analysis were used to investigate the relationship between tree condition and groundwater depth.
Ordination, regression tree analysis and indicator species analysis were used to establish relationships between selected CWD variables and macrolichen and bryophyte species assemblages, overall species richness and individual species presence and abundance.
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