Data from: Persistently rare species experience stronger negative frequency dependence than common species: a statistical attractor that is hard to avoid

Rovere J, Fox JW

Date Published: January 22, 2019

DOI: https://doi.org/10.5061/dryad.8j28r94

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Title R code for theoretical models
Downloaded 9 times
Description R code to simulate the three stochastic ecological models described in the associated paper. Contact Jeremy Fox (jefox@ucalgary.ca) with questions.
Download models of rarity and NFD - for GEB.R (9.975 Kb)
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Title empirical results summary
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Description Comma-delimited text file summarizing the empirical results. Each row gives data for one site. Variables are Lake.ID (unique identifier for each site), cov.NFD.freq (covariance between log-transformed strength of negative frequency dependence and log-transformed mean frequency), richness (the number of species included in the analysis), and gini (the Gini coefficient, a measure of the evenness of species' frequencies). Contact Jeremy Fox with questions (jefox@ucalgary.ca).
Download zoop results summary.csv (1.909 Kb)
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When using this data, please cite the original publication:

Rovere J, Fox JW (2019) Persistently rare species experience stronger negative frequency dependence than common species: A statistical attractor that is hard to avoid. Global Ecology and Biogeography 28(4): 508-520. https://doi.org/10.1111/geb.12871

Additionally, please cite the Dryad data package:

Rovere J, Fox JW (2019) Data from: Persistently rare species experience stronger negative frequency dependence than common species: a statistical attractor that is hard to avoid. Dryad Digital Repository. https://doi.org/10.5061/dryad.8j28r94
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