Species abundance distributions: moving beyond single prediction theories to integration within an ecological framework.
By Brian J. McGill, Rampal S. Etienne, J. Gray, David Alonso, Marti J. Anderson, Habtamu K Benecha, M. Dornelas, Brian J. Enquist, Jessica L. Green, Fangliang He and 8 more. Ecology Letters, 2007
1,461 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/edb8b443187e72dfdfcfea2b0fe885abd83968e9
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
- Wilfried Thuiller
- Antoine Guisan
- Miguel B. Araújo
- Jens‐Christian Svenning
- Miska Luoto
- Jane Elith
- Carsten F. Dormann
- Risto Heikkinen
In Ecology
- Wilfried Thuiller
- Jens‐Christian Svenning
- Miska Luoto
- Carsten F. Dormann
- S. Normand
- Miguel B. Araújo
- Risto Heikkinen
- Gentile Francesco Ficetola
In Nature and Landscape Conservation
- Wilfried Thuiller
- Carsten F. Dormann
- Antoine Guisan
- Miguel B. Araújo
- Jens‐Christian Svenning
- Miska Luoto
- Jane Elith
- Risto Heikkinen
Citations in the corpus
- The Ecological Niche: History and Recent Controversies (2015, background): “…the – very broad – sense used in ecology: practically any form of generation of a pattern can be considered as a mechanism (e.g. Strong et al. 1984 : 5&220, Bell 2000 : 606, Hubbell 2001 : 114, Leigh 2007 : 2087; see the brief discussions in Turner et al. 2001 : 53 and McGill et al. 2007 : 1001).”
- Morphological traits can track coral reef responses to the Anthropocene (2019, background): “…and predicting these responses is difficult due to high taxonomic and spatiotemporal diversity that requires large sampling effort to obtain sufficient data for each species, in addition to the challenge of surveying the large number of rare species in most communities (McGill et al., 2007).”
- Assessment of yeast diversity in soils under different management regimes (2012, methodology): “Although species abundance distribution (SAD) was introduced into ecology more than 100 yr ago, our knowledge of the shape of SADs of microorganisms is still poor (McGill et al. 2007).”
- A link between plant traits and abundance: evidence from coastal California woody plants (2010, background): “…limited dispersal in space (e.g. meta-community dynamics), ecological equivalence and demographic stochasticity can, in certain conditions, create realistic abundance ⁄ rarity distributions measured as number of individuals (see theory and references within McGill et al. 2007; Morlon et al. 2009).”
- No biogeographical pattern for a root-associated fungal species complex (2011, background): “The assembly and dynamics of communities of macroorganisms have received much attention (e.g. Hubbell, 2001; McGill et al., 2007).”
- Global drivers of population density in terrestrial vertebrates (2018, background): “This would be an important step forward to investigate macroecological patterns (McGill & Collins, 2003), such as species abundance distributions (McGill et al., 2007; Xiao, O’Dwyer, & White, 2015), biomass distribution (Hatton et al.”
- Hypothesis Testing and Power Calculations for Taxonomic-Based Human Microbiome Data (2012, methodology): “This is useful if the analyst is interested in comparing community structure and complexity across microbiome samples and body sites, but not interested in the names of the community members [26–28].”
- Temporal β diversity—A macroecological perspective (2019, background): “…because all assemblages take the form of a species abundance distribution (SAD) in which some species are common, and many are rare (May, 1975; McGill et al., 2007), and because the amount of life any assemblage can support has an upper limit (Brown, 2014; see also Storch et al., 2018;…”
- A meta-analysis of species-abundance distributions (2010, methodology): “Since its formal introduction by Raunkiaer (1909) ecologists have used SADs as a tool to infer dominance orders, diversity and evenness (Magurran 2004, McGill et al.”
- Drivers of β‐diversity along latitudinal gradients revisited (2013, background): “Conversely, correlations between b-diversity and g-diversity may, at least in part, reflect the effect of b-diversity on g-diversity (Pither & Aarssen, 2005; Meynard et al., 2011; Qian & Ricklefs, 2012).”
- Taxonomical and functional microbial community selection in soybean rhizosphere (2014, background): “On the other hand, the niche-based theory assumes that the rank abundance distribution would fit the pre-emption, broken stick, log-normal and Zipf–Mandlebrot models (Motomura, 1932; MacArthur, 1957; McGill et al., 2007).”