Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness

By Nicholas Gotelli, Robert K. Colwell. 2001

6,409 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/57a8ed20c0eef540bc4b3cf727c19bfd0a2dea5c

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In Ecological Modeling

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Citations in the corpus

Psychological benefits of greenspace increase with biodiversity (2007, methodology): “Species richness estimates (species density of Gotelli & Colwell 2001) were calculated using the second-order jackknife estimator computed over 1000 runs in the ESTIMATES software (Colwell 2005).”
Acoustic fish communities: sound diversity of rocky habitats reflects fish species diversity (2019, methodology): “Accumulation curves (using presence/absence data) were also built, allowing for meaningful comparison of community-wide changes (Gotelli & Colwell 2001, Gotelli & Chao 2013).”
The elevational gradient in Andean bird species richness at the local scale: a foothill peak and a high‐elevation plateau (2005, methodology): “Gotelli and Colwell (2001) suggested that x-axes of sample-based rarefaction curves should be rescaled from samples to individuals because datasets may differ systematically in the number of individuals per sample.”
Network properties of an epiphyte metacommunity (2007, methodology): “To evaluate the completeness of species-based surveys, I conducted rarefaction analyses (see Gotelli & Colwell 2001) using RAREFACT 1.0.”
Stand composition and structure of the boreal mixedwood and epigaeic arthropods of the Ecosystem Management Emulating Natural Disturbance (EMEND) landbase in northwestern Alberta (2004, background): “Rarefaction standardizes comparisons of species richness among samples (in our case, cover types) by drawing random and incremental subsamples of individuals within samples (Gotelli and Colwell 2001).”
Conservation status and threats for African reptiles (2016, methodology): “However, unreliable species richness patterns for African reptiles could potentially be improved through correction methods such as rarefaction or species distribution modelling (Engemann et al., 2015; Gotelli and Colwell, 2001; Jiménez et al., 2009; Mecenero et al., 2015; Raxworthy et al., 2003).”
Marine nematode deep‐sea biodiversity – hyperdiverse or hype? (2003, background): “Again, this is consistent with Grassle & Morse-Porteus (1992) spatial–temporal mosaic hypothesis, which appears to be a plausible explanatory mechanism for the structure of deep-sea nematode assemblages.”
Stygobiotic crustacean species richness: a question of numbers, a matter of scale (2010, methodology): “At the stygoregional, regional, and aquifer scales, sample-based rarefaction curves ( Gotelli & Colwell, 2001 ) were calculated to compare species richness across the different areas, to minimize the effect of sampling effort.”
Biodiversity soup: metabarcoding of arthropods for rapid biodiversity assessment and biomonitoring (2012, neutral): “Rarefaction must therefore be used to control for the effects of sample size (Gotelli & Colwell 2001).”
Diversity, distribution and spatial structure of the cold-water coral fauna of the Azores (NE Atlantic) (2013, background): “Increasing sampling areas will lead to an increased probability of encountering rare species (Gotelli and Colwell, 2001).”
Year‐to‐year variation in the topology of a plant–pollinator interaction network (2008, background): “number of individual flower visits tallied) differs (Gotelli and Colwell 2001).”
Imperfect detection is the rule rather than the exception in plant distribution studies (2013, background): “The collection of sites where a species occurs represents the distribution of that species (Guisan & Thuiller 2005), while the collection of species occurring at a site represents species richness, the most widely used metric of biodiversity (Gotelli & Colwell 2001).”
Determinants of species richness in generalist and specialist Mediterranean butterflies: the negative synergistic forces of climate and habitat change (2011, background): “This simple measure has been criticised because the sample sizes are different at each site (Gotelli and Colwell 2001).”
Seed dispersal by dabbling ducks: an overlooked dispersal pathway for a broad spectrum of plant species (2016, methodology): “Rarefaction curves were produced by repeatedly resampling a pool of n = 50 individuals at random (with repetition) and plotting the average cumulative number of seed species represented by 1, 2, . . ., n individuals as a function of the number of ducks sampled (Gotelli & Colwell 2001).”
Significance of Specimen Databases from Taxonomic Revisions for Estimating and Mapping the Global Species Diversity of Invertebrates and Repatriating Reliable Specimen Data (2004, background): “But especially in invertebrates, relying on observed species lists “without reference to a taxon sampling-curve is problematic at best” (Gotelli & Colwell 2001).”