Null model analysis of species co-occurrence patterns
By Nicholas Gotelli. 2000
1,754 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/14d8a7e60093e4e2942f1758ef2c130cd1ce0f15
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
- Antoine Guisan
- Wilfried Thuiller
- Miguel B. Araújo
- Jane Elith
- A. Townsend Peterson
- Jorge M. Lobo
- C. Rahbek
- N. E. Zimmermann
In Ecology, Evolution, Behavior and Systematics
- Werner Ulrich
- J. Veech
- Carsten F. Dormann
- Nicholas Gotelli
- Wilfried Thuiller
- Pedro Jordano
- Paulo Roberto Guimaraes Jr.
- Francesco de Bello
In Nature and Landscape Conservation
- Antoine Guisan
- Wilfried Thuiller
- Miguel B. Araújo
- Nicholas Gotelli
- Carsten F. Dormann
- J. Veech
- Jorge M. Lobo
- Jane Elith
Citations in the corpus
- Indices, Graphs and Null Models: Analyzing Bipartite Ecological Networks (2009, background): “This maintains marginal totals while reducing the number of links (see Gotelli 2000, whose binary version of this swapping algorithm inspired our null model III).”
- Disentangling biotic interactions, environmental filters, and dispersal limitation as drivers of species co‐occurrence (2018, methodology): “Alternatively, Schluter’s (1984) V-ratio could have been used with the fixed-equiprobable model, but its performance is no better than the C-score (Gotelli 2000).”
- Can limiting similarity increase invasion resistance? A meta‐analysis of experimental studies (2013, methodology): “Randomisation approaches are used to detect evidence of non-random patterns and are often used in the assembly rules literature (Gotelli 2000, Götzenberger et al. 2012).”
- Bottom‐up control and co‐occurrence in complex communities: honeydew and nectar determine a rainforest ant mosaic (2004, methodology): “Most ants from both (1) and (2) were regularly observed to share the same trails on trunks and branches used by Oecophylla without any aggressive interaction (Table 2). The C-score of ant species co-occurrence (234.6) is higher than that of randomly generated matrices (mean9 /SD: 232.79 /0.8, pB/0.0”
- LANDSCAPE-LEVEL PATTERNS OF AVIAN DIVERSITY IN THE OREGON COAST RANGE (2003, background): “Traditional measures of species richness, density, and evenness are biased for comparison among landscapes because of differences in overall bird density, total abundance, differences in area sampled, and differences in landscape size (Gotelli and Graves 1996, Gotelli 2000).”
- A unified analysis of niche overlap incorporating data of different types (2011, positive): “We suggest the use of null models (see Gotelli & Graves 1996; Gotelli 2000) to differentiate between species occupying similar and different niches.”
- Bringing Elton and Grinnell Together: a quantitative framework to represent the biogeography of ecological interaction networks (2016, neutral): “Whether two interacting species are more closely associated in space remains unclear, since most approaches based on null models consider community-level metrics (e.g. Gotelli 2000), such as the C-score, thereby making it hard to evaluate if specific interactions do indeed affect co-occurrence.”
- A comparison of statistical approaches to analyzing community convergence between natural and constructed oyster reefs (2006, methodology): “Statistical models applied to one or the other types of compositional data include: (1) “classic” multivariate analyses (Johnson and Wichern, 1998; Rencher, 1998); (2) null models (Gotelli, 2000); (3) non-parametric analysis of among sample similarity (Clarke and Warwick, 2001); and (4) multivariate”
- Partitioning Species Diversity across Landscapes and Regions: A Hierarchical Analysis of α, β, and γ Diversity (2003, background): “Rather, they illustrate how alternative null hypotheses can provide different insights into factors that influence the spatial structure of species diversity (cf. Gotelli 2000).”
- The origin and maintenance of montane diversity: integrating evolutionary and ecological processes (2014, background): “…and identity of species in a given region and is often used to evaluate whether patterns of species richness or composition in a local assemblage, or sub-region within this broader region, diff er more than that expected by chance when compared to the species in the broad region (Gotelli 2000).”
- Null model of biotic homogenization: a test with the European freshwater fish fauna (2007, methodology): “These models are widely used to test specific hypotheses about patterns in nature by creating artificial data sets that could be expected if a given null hypothesis is true (e.g. Gotelli, 2000).”
- Assembly rules within earthworm communities in North-Western France—A regional analysis (2008, methodology): “complete segregation between species (Gotelli, 2000).”