A probabilistic model for analysing species co-occurrence

By J. Veech. 2013

505 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/5243ae9c437a44c9b464ded0442f3d174ef2cd7a

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

1. C. Violle
2. Brian J. Enquist
3. Brian J. McGill
4. Jens‐Christian Svenning
5. Carsten F. Dormann
6. B. Blonder
7. Brody Sandel
8. J. Veech

In Ecology, Evolution, Behavior and Systematics

1. Brian J. McGill
2. Brian J. Enquist
3. M. Pärtel
4. R. Szava-Kovats
5. Rob J. Lewis
6. C. Violle
7. Carsten F. Dormann
8. Matthias Schleuning

In Nature and Landscape Conservation

1. C. Violle
2. Brian J. McGill
3. Brian J. Enquist
4. Carsten F. Dormann
5. B. Blonder
6. Jens‐Christian Svenning
7. Brody Sandel
8. J. Veech

Citations in the corpus

• Estimating dark diversity and species pools: an empirical assessment of two methods (2016, methodology): “Alternatively, another method is to use species co-occurrence patterns, patterns that have in the past proven central to the development of ecological theories (Diamond 1975; Gilpin & Diamond 1982), and continue to remain at the forefront of ecological research (Veech 2013).”
• The pairwise approach to analysing species co‐occurrence (2014, methodology): “The probabilistic model of species co-occurrence (Veech, 2013) is based on calculating the number of ways that two species can co-occur at exactly j number of sampling sites given that each species occurs at N1 and N2 number of sites out of a total of N.”
• Biotic interactions in species distribution modelling: 10 questions to guide interpretation and avoid false conclusions (2018, methodology): “The most commonly used baseline, particularly in null models (Connor & Simberloff, 1979; Gotelli, 2000; Veech, 2012), is based on each species’ landscape-wide occurrence rate.”
• A network approach for inferring species associations from co-occurrence data (2016, methodology): “…approaches can test the effects of environmental drivers, species interactions, or both in structuring communities; for approaches based on randomized null models see Gotelli et al. 2010, Ulrich et al. 2012; for approaches based on analytical null models see Araújo et al. 2011, Veech 2013.”
• Bringing Elton and Grinnell Together: a quantitative framework to represent the biogeography of ecological interaction networks (2016, unknown): “The impact of ecological interactions on the distribution of co-occurrence has been the topic of many publications since Diamond (1975) seminal study on competition and ‘checkerboard’ distribution, but pairwise approaches have only recently received attention (Veech 2013).”