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. 2016 Oct 20;6:35644. doi: 10.1038/srep35644

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Copyright © 2016, The Author(s)

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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We simulated a 10⁴-read sample and computed the mean and standard deviation over 100 realizations of and . Results are plotted for θ = 20 and for m = 1 (black), m = 0.1 (green), m = 0.01 (blue) and m = 0.001 (red). Panels a,b: variation with the proportion of artifactual MOTUs (dashed blue line underlines the linear dependence). Panels c,d: variation with the log standard deviation σ_log of a multiplicative lognormal noise on relative abundances. Panels e,f: variation with the parameter λ of a multiplicative zero-truncated Poisson noise. Panels g,h: variation with body size ratio .

Inline graphic — We simulated a 10⁴-read sample and computed the mean and standard deviation over 100 realizations of and . Results are plotted for θ = 20 and for m = 1 (black), m = 0.1 (green), m = 0.01 (blue) and m = 0.001 (red). Panels a,b: variation with the proportion of artifactual MOTUs (dashed blue line underlines the linear dependence). Panels c,d: variation with the log standard deviation σ_log of a multiplicative lognormal noise on relative abundances. Panels e,f: variation with the parameter λ of a multiplicative zero-truncated Poisson noise. Panels g,h: variation with body size ratio .