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Kenneth Locey
PeerJ Author & Reviewer
715 Points

Contributions by role

Preprint Author 700
Reviewer 15

Contributions by subject area

Computational Biology
Ecology
Evolutionary Studies
Computational Science
Biodiversity
Biogeography
Microbiology
Mathematical Biology
Ecosystem Science
Taxonomy
Statistics
Bioinformatics
Climate Change Biology
Freshwater Biology

Kenneth J Locey

PeerJ Author & Reviewer

Summary

Postdoctoral Fellow in the Lennon Microbial Ecology Lab at Indiana University, Bloomington. Specializing in biodiversity science and quantitative macroecology.

Ecology

Editing Journals

Past or current institution affiliations

Indiana University
Indiana University at Bloomington

Work details

Postdoctoral Fellow

Indiana University at Bloomington

PeerJ Contributions

  • Preprints 9
August 13, 2018 - Version: 3
A residence time theory for biodiversity
Kenneth J Locey, Jay T Lennon
https://doi.org/10.7287/peerj.preprints.2727v3
April 11, 2017 - Version: 3
A modeling platform for the simultaneous emergence of ecological patterns
Kenneth J Locey, Jay T. Lennon
https://doi.org/10.7287/peerj.preprints.1469v3
November 11, 2016 - Version: 4
A macroecological theory of microbial biodiversity
William R Shoemaker, Kenneth J Locey, Jay T Lennon
https://doi.org/10.7287/peerj.preprints.1450v4
September 27, 2016 - Version: 1
Macroecology for microbiology
Jay T Lennon, Kenneth J Locey
https://doi.org/10.7287/peerj.preprints.2478v1
August 15, 2016 - Version: 1
The underestimation of global microbial diversity
Jay T Lennon, Kenneth J Locey
https://doi.org/10.7287/peerj.preprints.2357v1
July 27, 2016 - Version: 1
Microscale insight into microbial seed banks
Kenneth J Locey, Melany C Fisk, Jay T Lennon
https://doi.org/10.7287/peerj.preprints.2321v1
March 31, 2016 - Version: 3
Scaling laws predict global microbial diversity
Kenneth J Locey, Jay T Lennon
https://doi.org/10.7287/peerj.preprints.1451v3
August 30, 2014 - Version: 2
Efficient algorithms for sampling feasible sets of abundance distributions
Kenneth J. Locey, Daniel J. McGlinn
https://doi.org/10.7287/peerj.preprints.78v2
July 5, 2013 - Version: 2
Nine simple ways to make it easier to (re)use your data
Ethan P. White, Elita Baldridge, Zachary T. Brym, Kenneth J. Locey, Daniel J. McGlinn, Sarah R. Supp
https://doi.org/10.7287/peerj.preprints.7v2