Comparing measures of species diversity from incomplete inventories: an update

By Jan Beck, Wolfgang Schwanghart. 2010

150 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/8c77112153e4f38cb169a3337e075dabe08368ce

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Bruno Hérault
2. A. Chao
3. Eric Marcon
4. L. Jost
5. C. Baraloto
6. G. Lang
7. R. Telford
8. E. Alve

In Ecology

1. L. Jost
2. A. Chao
3. Y. Wang
4. Bruno Hérault
5. Eric Marcon
6. C. Baraloto
7. E. Alve
8. B. Rygg

In Nature and Landscape Conservation

1. A. Chao
2. Bruno Hérault
3. L. Jost
4. Eric Marcon
5. Jan Beck
6. Wolfgang Schwanghart
7. C. Baraloto
8. Y. Wang

Citations in the corpus

• Entropy and the species accumulation curve: a novel entropy estimator via discovery rates of new species (2013, result): “…for undetected species and the concept of sample coverage (see below) to obtain a low-bias entropy estimator, which is referred to as the ‘coverage-adjusted estimator’ in Vu, Yu & Kass (2007); see Beck & Schwanghart (2010) for an updated comparison of this estimator with some other approaches.”
• Consistent patterns of elevational change in tree taxonomic and phylogenetic diversity across Malesian mountain forests (2013, background): “…Chao & Shen, 2003], is the most suitable true a-diversity or compositional complexity measure if neither common nor rare taxa are favoured (true diversity of order 1; Jost, 2007) and if under-sampling is suspected, particularly when sample completeness is more than 0.5 (Beck & Schwanghart, 2010).”
• Benthic foraminifera provide a promising tool for ecological quality assessment of marine waters (2012, methodology): “Chao and Shen (2003) introduce a bias-corrected version of Shannon’s index (H′bc), which has little bias (Beck and Schwanghart, 2010), and which we use in this paper.”
• The decomposition of Shannon's entropy and a confidence interval for beta diversity (2012, methodology): “We first followed Beck and Schwanghart (2010) to validate the possibility to correctly estimate diversity. The total number of species S~ was estimated according to Brose et al.’s (2003) framework to evaluate sample completeness, that is to say the proportion in numbers of observed species (/S ~), w”
• Undersampling and the measurement of beta diversity (2013, background): “With the advent of estimators to correct for undersampling bias, researchers became increasingly aware of this problem with respect to alpha and gamma diversity (Hurlbert 1971; Wolda 1981; Colwell & Coddington 1994; Chao & Shen 2003; Beck & Kitching 2007; Beck & Schwanghart 2010).”
• Estimating diversity and entropy profiles via discovery rates of new species (2015, background): “It is important to reduce or remove the bias inherent in the empirical measures due to incomplete samples (see Gotelli & Colwell (2001) and Beck & Schwanghart (2010) for related examples and statistical inferences).”