INTERPOLATING, EXTRAPOLATING, AND COMPARING INCIDENCE-BASED SPECIES ACCUMULATION CURVES

By Robert K. Colwell, Chang Xuan Mao, Jing Chang. 2004

1,806 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/0dffc10f438c956d164733a5ec6e01c4467d59c2

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In Ecology

In Nature and Landscape Conservation

In Statistics and Probability

Citations in the corpus

An elevational shift in butterfly species richness and composition accompanying recent climate change (2007, methodology): “We used sample-based rarefaction, rescaled to number of individuals, to interpolate species richness per individual sampled, based on the analytical formulas of Colwell et al. (2004).”
Coextinction and persistence of dependent species in a changing world (2012, background): “As demonstrated by Colwell et al. (2004), sample-based (incidence-based) rarefaction is not biased by aggregation (in this application, by the aggregation of affiliates on certain hosts).”
Effects of rain forest logging on species richness and assemblage composition of small mammals in Southeast Asia (2007, positive): “We then estimated the expected number of species for logged and unlogged forest with Chao2 and Jack1 species-richness estimators (Colwell et al., 2004).”
Biotic homogenization and alien bird species along an urban gradient in South Africa (2009, methodology): “Calculating these curves requires no resampling and has been shown to be as accurate as the traditional resampling method (Colwell et al., 2004).”
Species richness of crustacean zooplankton and trophic structure of brackish lagoons in contrasting climate zones: north temperate Denmark and Mediterranean Catalonia (Spain) (2009, methodology): “…and summer) were randomised with replacement, and Mao Tau estimator of rarefied species richness (t(h)) was used as it allows rigorous comparisons among sample-based rarefaction curves due to the existence of legitimate confidence intervals at all points along the curve (Colwell et al. 2004).”
How do habitat variability and management regime shape the spatial heterogeneity of birds within a large Mediterranean urban park (2008, methodology): “Sampling effort Sampling effort was estimated for each of the 21 locations sing a sample-based rarefaction curve (Colwell et al., 2004). he expected species accumulation curve for each location was alculated using the Sobs (Mao Tau) estimator in the software stimateS 7.5 (Colwell, 2005).”
Assessing bee species richness in two Mediterranean communities: importance of habitat type and sampling techniques (2011, methodology): “The expected number of species (called Mao Tau in EstimateS) is calculated using the analytical formulas from Colwell et al. (2004) .”
Sampling bias and the use of ecological niche modeling in conservation planning: a field evaluation in a biodiversity hotspot (2010, background): “Resulting values are numbers of species expected based on empirical data (Colwell et al. 2004).”
Impact of the Little Fire Ant, Wasmannia auropunctata, on Native Forest Ants in Gabon 1 (2006, methodology): “Although such methods of estimating asymptotic richness via extrapolation of observed data show variable behavior and are still in a trial phase (Longino et al. 2002, Colwell et al. 2004), ICE has been shown to be a fairly robust species richness estimator across sites (Chazdon et al. 1998).”