A network approach for inferring species associations from co-occurrence data

By N. Morueta‐Holme, B. Blonder, Brody Sandel, Brian J. McGill, Robert K. Peet, J. Ott, C. Violle, Brian J. Enquist, P. M. Jørgensen, Jens‐Christian Svenning. 2016

132 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Genetics

View Paper: https://www.semanticscholar.org/paper/e373a92018f238022068508d10eff032f822a548

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. Florian Hartig
2. F. Guillaume Blanchet
3. David J. Harris
4. Heike Lischke
5. Carsten F. Dormann
6. Dominique Gravel
7. Matthias Schleuning
8. C. Kraan

In Ecology, Evolution, Behavior and Systematics

1. Carsten F. Dormann
2. Florian Hartig
3. F. Guillaume Blanchet
4. David J. Harris
5. Dominique Gravel
6. Matthias Schleuning
7. C. Kraan
8. Manuel J. Steinbauer

In Genetics

1. F. Guillaume Blanchet
2. Carsten F. Dormann
3. Dominique Gravel
4. Matthias Schleuning

Citations in the corpus

• Co-occurrence is not evidence of ecological interactions. (2020, background): “…relationships based on the incidence matrix: for each pair of species, the two vectors of occurrence and an optional set of covariates (e.g. abiotic factors, species abundances) are combined to compute statistical associations (Veech, 2014; Morueta-Holme et al., 2016; Mandakovic et al., 2018).”
• Biotic interactions in species distribution modelling: 10 questions to guide interpretation and avoid false conclusions (2018, methodology): “, 2012), there is not yet a fully established method to predict interactions between species pairs from traits (for attempts, see Dehling et al., 2016; Ibanez et al., 2013; Moretti et al., 2013; Morueta-Holme et al., 2016).”