ESTIMATION OF SPECIES RICHNESS: MIXTURE MODELS, THE ROLE OF RARE SPECIES, AND INFERENTIAL CHALLENGES

By Chang Xuan Mao, Robert K. Colwell. 2005

146 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation, Plant Science

View Paper: https://www.semanticscholar.org/paper/e3a08f16192c989c5e1639ca357231a605d5b49e

How researchers see this paper

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

In Ecology

In Nature and Landscape Conservation

In Plant Science

Citations in the corpus

Partitioning the diversity of riverine fish: The roles of habitat types and non-native species (2007, background): “Nevertheless, species richness estimation is always a difficult task (Mao & Colwell, 2005; O’Hara, 2005), and therefore I also added my own guesstimate (i.e. expert extrapolation) to determine the approximate total number of species for each habitat type (Hortal, Borges & Gaspar, 2006).”
Inference About Species Richness and Community Structure Using Species-Specific Occupancy Models in the National Swiss Breeding Bird Survey MHB (2009, background): “However, this example shows how elusive a concept such as species richness really is; does it refer to the regular, or to the regular and irregular, or all breeding species ? It is likely that it is the rare species which introduce most uncertainty (and complications !) into such estimates (Mao and ”
Sampling networks of ecological interactions (2015, background): “A Poisson/binomial density can be written as (Mao & Colwell, 2005): where [1] corresponds to a weighted network, and [2] to a qualitative network.”
Ecological networks, nestedness and sampling effort (2007, background): “Colwell & Coddington 1994; Mao & Colwell 2005 ), including its relation to plant-animal mutualistic network properties (e.g.”
The concepts of bias, precision and accuracy, and their use in testing the performance of species richness estimators, with a literature review of estimator performance (2005, background): “…Keating et al. (1998), Christen and Nakamura (2000), Gorostiza and Dı́azFrancés (2001), Dı́az-Francés and Gorostiza (2002), Colwell et al. (2004), Mao and Colwell (2005) and Mao et al. (2005) included nonhomogeneous pure birth processes, maximum likelihood estimation and Bayesian methods…”
Models and estimators linking individual-based and sample-based rarefaction, extrapolation and comparison of assemblages (2012, methodology): “Extrapolating sample-based rarefaction curves beyond the incidence reference sample has been investigated by Colwell et al. (2004), Mao et al. (2005), Mao and Colwell (2005) and Mao (2007), but those methods, although theoretically useful and ﬂexible, are based on rathercomplicated mixturemodels.”
Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible (2013, methodology): “…with a non-parametric resampling technique — called rarefaction [20], or individual-based taxon re-sampling curves [21] — that can be justiﬁed for coverage analysis or species richness estimation in some settings [21], though in other settings it can perform worse than parametric methods [22].”
IMPROVING INFERENCES IN POPULATION STUDIES OF RARE SPECIES THAT ARE DETECTED IMPERFECTLY (2005, background): “…of species richness has been considered many times over the last decade, including reviews by Bunge and Fitzpatrick (1993), Colwell and Coddington (1994), Nichols and Conroy (1996), Williams et al. (2002), and new synthetic contributions by Dorazio and Royle (2005) and Mao and Colwell (2005).”