Use of invertebrate traits for the biomonitoring of European large rivers: the effects of sampling effort on genus richness and functional diversity

By P. Bady, Sylvain Dolédec, C. Fesl, S. Gayraud, M. Bacchi, F. Schöll. 2005

139 citations recorded by the source corpus.

Summary 1. Studies on biodiversity and ecosystem function require considering metrics for accurately describing the functional diversity of communities. The number of taxa (richness) is commonly used to characterise biological diversity. The disadvantage of richness as a measure of biological diversity is that all taxa are taken into account on an equal basis regardless of their abundance, their biological characteristics or their function in the ecosystem. 2. To circumvent this problem, we applied a recently described measure of biological diversity that incorporates dissimilarities among taxa. Dissimilarities were defined from biological traits (e.g. life history, morphology, physiology and behaviour) of stream invertebrate taxa and the resulting biological diversity index was considered as a surrogate for functional diversity. 3. As sampling effort is known to affect the number of taxa collected within a reach, we investigated how change in functional diversity is affected by sampling effort. We used stream invertebrate community data from three large European rivers to model accumulation curves and to assess the number of samples required to estimate (i.e. closeness to the maximal value) functional diversity and genera richness. We further evaluated the precision of estimates (i.e. similarity of temporal or spatial replicates) of the total functional diversity. 4. As expected, richness estimates were strongly dependent on sampling effort, and 10 replicate samples were found to underestimate actual richness. Moreover, richness estimates showed much variation with season and location. In contrast, functional diversity had greater accuracy with less sampling effort and the precision of the estimates was higher than richness both across sampling occasions and sampling reaches. These results are further arguments towards conducting research on the design of a biomonitoring tool based on biological traits.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/e715f3916f9e7fd51961ae21ef82ccc1d8e8caec

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In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Functional traits as indicators of biodiversity response to land use changes across ecosystems and organisms (2010, methodology): “Here, we further treated this information as frequency distributions (ak/sum(ak) with sum(ak)=1, see Bady et al. 2005).”
A measure for assessing functional diversity in ecological communities (2009, background): “Some consider species presence/absence, whereas others are based on abundance data (e.g. Rao 1982; Botta-Dukát 2005; Bady et al. 2005; Mason et al. 2005).”
Indicators of biodiversity and ecosystem services: a synthesis across ecosystems and spatial scales (2009, unknown): “Another approach gaining increasing interest for the indication of biodiversity and ecosystem functioning across habitats and spatial scales is the use of functional traits (Bady et al. 2005, Statzner et al. 2005, de Bello et al. 2006, Petchey and Gaston 2007). The advantages in using traits are man”
Functional diversity: a review of methodology and current knowledge in freshwater macroinvertebrate research (2016, background): “…functional diversity (Haybach et al., 2004; Bêche & Resh, 2007; Heino, 2008; Bazzanti et al. 2009; Bêche & Statzner, 2009; Vandewalle et al., 2010; Gallardo et al., 2011; Feld et al., 2014), while others revealed a positive and saturating relationship (Bady et al., 2005; Bêche & Statzner, 2009).”
Functional diversity: back to basics and looking forward. (2006, background): “A recently proposed measure, Rao’s quadratic entropy (Rao 1982; Bady et al. 2005; Botta-Dukát 2005; Ricotta 2005) is similar, except it is able to include the abundances of species (see Section 4.3.3).”
Using macroinvertebrate biological traits for assessing biotic integrity of neotropical streams (2008, background): “, 2006), sampling effort (Charvet et al., 1998; Bady et al., 2005), taxonomic resolution level (Dolédec et al.”
Biological Indicator Systems in Floodplains – a Review (2006, background): “STATZNER et al., 2001; GAYRAUD et al., 2003), the use of biological traits is only in its experimental phase (BADY et al., 2005).”
A macroecological perspective of trait patterns in stream communities (2013, unknown): “In contrast, Bady et al. (2005) did not assign macroinvertebrates to groups, but applied the Rao's quadratic diversity index on their raw traitdatabase directly.”
Functional diversity of crustacean zooplankton communities: towards a trait‐based classification (2007, methodology): “, 2001; Bady et al., 2005). There are several methods for calculating functional diversity of a community. Recent methods include Functional Attribute Diversity, as used in a study of Australian rangelands by Walker et al. (1999), and Functional Diversity (FD) proposed more recently by Petchey & Gas”
Taxonomic and biological trait differences of stream macroinvertebrate communities between mediterranean and temperate regions: implications for future climatic scenarios (2007, background): “This index can be applied to both taxonomic and trait matrices (e.g. Bady et al., 2005).”
Functional trait niches of North American lotic insects: traits-based ecological applications in light of phylogenetic relationships (2006, background): “…composite measures of community trait composition that do not explicitly account for the evolutionary linkage of trait states (e.g., functional diversity; Charvet et al. 2000, Bady et al. 2005) are unlikely to be adequate indicators of traits-based community response to environmental change.”
Longitudinal and altitudinal changes of macroinvertebrate functional feeding groups in neotropical streams : a test of the River Continuum Concept (2007, background): “This functional approach is less sensitive to sampling methodology (Charvet et al. 1998, Bady et al. 2005) and taxonomic resolution (Dolédec et al. 2000, Gayraud et al. 2003).”