A new statistical approach for assessing similarity of species composition with incidence and abundance data

By A. Chao, R. Chazdon, Robert K. Colwell, Tsung‐Jen Shen. 2004

1,911 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Atmospheric Science, Ecology

View Paper: https://www.semanticscholar.org/paper/23de6891a6156a281ef4ee0942c11b4940fec6b8

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Citations in the corpus

Climatic variability and landscape heterogeneity impact urban mosquito diversity and vector abundance and infection (2011, methodology): “To determine if our sampling was representative of the mosquito community of Chicago, we estimated the richness (total number of species) for the eight sites using the Chao2 estimator (Chao et al. 2005) on the incidence matrix (Table 1).”
Abundance‐Based Similarity Indices and Their Estimation When There Are Unseen Species in Samples (2006, background): “Details are provided in the ecological counterpart paper (Chao et al., 2005).”
Ethiopian church forests : opportunities and challenges for restoration (2004, methodology): “Similarity between forests and between understorey and overstorey in species composition was analyzed using Chao-Jaccard abundance-based similarity coefficient (Sj) following Chao et al. (2005). The range of this coefficient varies from 0 (no similarity) to 1 (complete similarity).”
Saproxylic beetle diversity in a managed boreal forest: importance of stand characteristics and forestry conservation measures (2007, background): “This is not an unusual outcome when sampling insect assemblages (Colwell & Coddington, 1994; Gotelli & Colwell, 2001; Magurran, 2004; Chao et al., 2005; Jonsson et al., 2005), particularly when the assemblage comprises a high proportion of infrequent species as was the case here, and as is…”
Assessing bee species richness in two Mediterranean communities: importance of habitat type and sampling techniques (2011, methodology): “To quantify the similarity of species assemblages found in different study sites and with different sampling methods we made pairwise comparisons using the ChaoSørensen abundance-based estimator (Chao et al. 2005), a similarity estimator that has comparably low bias for rare species and small sample”
A statistical approach to estimate soil ciliate diversity and distribution based on data from five continents (2006, methodology): “The Chao et al. (2005, 2006) adjusted abundancebased indices, although requiring effort to collect detailed sample data, have the following properties: (i) species abundances are incorporated, and we can infer the community-level indices if the data are representative; (ii) undersampling bias can…”
Power and sample-size estimation for microbiome studies using pairwise distances and PERMANOVA (2015, background): “Jaccard distance, a non-phylogenetic measure of difference between two sample sets, is calculated as one minus the ratio of the intersection to the union; it can also be calculated in unweighted ('binary') or abundanceweighted fashion (Chao et al., 2005; Levandowsky and Winter, 1971).”
Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible (2013, neutral): “beta-diversity [24,69], especially UniFrac [70].”