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Comment
. 2016 Aug 30;113(35):E5097.
doi: 10.1073/pnas.1609635113. Epub 2016 Aug 10.

Reply to Willis: Powerful predictions of biodiversity from ecological models and scaling laws

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Comment

Reply to Willis: Powerful predictions of biodiversity from ecological models and scaling laws

Kenneth J Locey et al. Proc Natl Acad Sci U S A. .
No abstract available

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Conflict of interest statement

The authors declare no conflict of interest.

Comment on

References

    1. Willis A. Extrapolating abundance curves has no predictive power for estimating microbial biodiversity. Proc Natl Acad Sci USA. 2016;113:E5096. - PMC - PubMed
    1. Willis A, Bunge J. Estimating diversity via frequency ratios. Biometrics. 2015;71(4):1042–1049. - PubMed
    1. Locey KJ, Lennon JT. Scaling laws predict global microbial diversity. Proc Natl Acad Sci USA. 2016;113(21):5970–5975. - PMC - PubMed
    1. Curtis TP, Sloan WT, Scannell JW. Estimating prokaryotic diversity and its limits. Proc Natl Acad Sci USA. 2002;99(16):10494–10499. - PMC - PubMed
    1. Shoemaker WR, Locey KJ, Lennon JT. June 8, 2016. A unifying ecological theory of microbial biodiversity. PeerJ Preprints 4:e1450v3. Available at https://peerj.com/preprints/1450/

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