Null Versus Neutral Models: What's The Difference?

By Nicholas Gotelli, Brian J. McGill. 2006

247 citations recorded by the source corpus.

Subfields: Ecological Modeling, Nature and Landscape Conservation, Paleontology

View Paper: https://www.semanticscholar.org/paper/cb9599b060d642ea95ac2511a2ad1b8887401b55

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In Ecological Modeling

In Nature and Landscape Conservation

In Paleontology

Citations in the corpus

The roles of environmental filtering and colonization in the fine‐scale spatial patterning of ground‐layer plant communities in north temperate deciduous forests (2011, methodology): “We use a structural equation modelling (SEM) framework (e.g. Grace 2006) integrating sub-hypotheses suggested by theory as well as previous investigations (Grace et al. 2010).”
Seeing the forest for the trees: partitioning ecological and phylogenetic components of Bergmann's rule in European Carnivora (2007, unknown): “These vectors can then be used as predictors of Y in any form of linear or non-linear modeling (see also Borcard and Legendre 2002, DinizFilho and Bini 2005 and Griffith and Peres-Neto 2006, for analogous applications in a spatial context).”
Temporal β diversity—A macroecological perspective (2019, background): “Another option is to take the baseline shuffling that characterises all systems as given, and randomise observed values to produce the null (Gotelli & Graves, 1996; Gotelli & McGill, 2006; Gotelli & Ulrich, 2011).”
Partial versus Full Species Distribution Models (2012, unknown): “2002; Gotelli & McGill 2006; Raes & ter Steege 2007).”
A consumer's guide to nestedness analysis (2009, methodology): “However, estimating the parameters for the neutral model so it can be used as a null model is problematic (Gotelli and McGill 2006).”
Challenges in linking trait patterns to niche differentiation (2016, background): “Gotelli and McGill (2006), citing Gotelli and Graves (1996), argue that null expectations intrinsically involve randomizations of observed patterns.”
Testing the spatial phylogenetic structure of local communities: statistical performances of different null models and test statistics on a locally neutral community (2008, background): “Gotelli & McGill (2006) insisted on the difference between neutral and null models.”
The importance of biotic interactions for modelling species distributions under climate change (2007, background): “However this is a familiar – and often necessary – procedure in macroecology, where a starting null hypothesis is often that the observed pattern is a simple consequence of the null expectation (Gotelli & McGill, 2006).”
Significance testing in ecological null models (2012, background): “Indeed the null model and pattern should include these other processes so that the process of interest can be isolated and tested (Tokeshi 1986; Wilson 1995; Gotelli and Graves 1996; Gotelli and McGill 2006; Moore and Swihart 2007).”
A null‐model for significance testing of presence‐only species distribution models (2007, methodology): “The position of the observed AUC value in the null distribution of the ‘‘randomly’’ generated AUC values is then used to assign a probability value, just as in a conventional statistical analysis (Dole ´dec et al. 2000, Olden et al. 2002, Gotelli and McGill 2006 ).”
Functional trait and phylogenetic tests of community assembly across spatial scales in an Amazonian forest (2010, background): “…view of communities that incorporates both dispersal assembly and niche assembly processes will likely be the most applicable to understanding the dynamics of the forest in Yasunı́ (Chesson 2000, Purves and Pacala 2005, Schwilk and Ackerly 2005, Gotelli and McGill 2006, Adler et al. 2007).”
Inference About Species Richness and Community Structure Using Species-Specific Occupancy Models in the National Swiss Breeding Bird Survey MHB (2009, result): “However, it is likely that at the scale of our analysis such effects might be hard to distinguish from a random occurrence of species, which, interestingly, resembles arguments in favour of neutral community models (Gotelli and McGill 2006).”
Statistical challenges in null model analysis (2012, background): “Oikos © 2012 Nordic Society Oikos Subject Editor: Paulo Guimaraes Jr. Accepted 8 September 2011 because it is usually impossible to collect all the data that would be needed to independently fi t the parameters of such a model (Gotelli and McGill 2006).”