Estimating marine species richness: an evaluation of six extrapolative techniques
By A. Foggo, M. Attrill, M. Frost, A. Rowden. 2003
108 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/f8be05af83c6524d728b955e43fc6d66e500c0ac
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In Ecological Modeling
In Ecology
In Nature and Landscape Conservation
Citations in the corpus
- Exploring the relationship between sampling efficiency and short‐range endemism for groundwater fauna in the Pilbara region, Western Australia (2009, methodology): “The relationship between species abundance and detectability forms the basis for several frequently used estimators of species richness, such as Chao1 (Foggo et al., 2003).”
- Species diversity and structure of phytophagous beetle assemblages along a latitudinal gradient: predicting the potential impacts of climate change (2004, unknown): “Comparative tests have identified Chao-1 as a robust species richness estimator (Coddington et al., 1996; Foggo et al., 2003).”
- Estimating prokaryotic diversity: When are 16S rDNA libraries large enough? (2004, background): “Foggo et al. (2003) addressed the question of bias by applying stringent criteria to select data sets that yield highly stable estimates of species richness, in three marine and estuarine faunal assemblages.”
- Species richness estimators: how many species can dance on the head of a pin? (2005, background): “Even when data sets are screened to try to ensure a full coverage (e.g. Walther & Morand 1998; Brose et al. 2003; Foggo et al. 2003) the comparisons cannot be regarded as foolproof, as the extremely rare species will still be difficult to capture.”