The derivation, performance and role of univariate and multivariate indicators of benthic change : Case studies at differing spatial scales

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The Estuarine Quality Paradox, Environmental Homeostasis and the difficulty of detecting anthropogenic stress in naturally stressed areas. (2007, background): “…structural variables (abundance, species richness and biomass) and derived community structural variables (such as diversity indices, abundance (A/S) and biomass (B/A) ratios, evenness indices) (see Quintino et al., 2006; Weisberg et al., 1997; McLusky and Elliott, 2004 for references and details).”
Using historical data, expert judgement and multivariate analysis in assessing reference conditions and benthic ecological status, according to the European Water Framework Directive. (2007, unknown): “These methodologies have been compared elsewhere (Chainho et al., 2006; Labrune et al., 2006; Quintino et al., 2006).”
Classifying Ecological Quality and Integrity of Estuaries (2011, methodology): “As an example, Quintino et al. (2006) analyzed data from the Portuguese coasts to produce univariate indices used for the WFD: abun dance, species richness, biomass, Margalef index, Pielou evenness index, Shannon–Wiener index, Simpson’s Index, AMBI and its reciprocal (1/AMBI), EQR (calculated…”