Daniel J McGlinn

Summary

I’m a landscape ecologist interested in the development and application of theory that improves our understanding of biological diversity.

Biodiversity Computational Biology Conservation Biology Ecology Mathematical Biology

Past or current institution affiliations

College of Charleston

Work details

Assistant Professor

College of Charleston

Biology

Websites

PeerJ Contributions

May 3, 2019

Examining the assumptions of heterogeneity-based management for promoting plant diversity in a disturbance-prone ecosystem

222 downloads

1,053 views

Daniel J. McGlinn, Michael W. Palmer

https://doi.org/10.7717/peerj.6738 PubMed 31110916

December 18, 2017

Sustainable computational science: the ReScience initiative

23 citations

807 downloads

6,034 views

Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C.Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael N. Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Daniel McGlinn, Christoph Metzner, Owen Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Joseph Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito

https://doi.org/10.7717/peerj-cs.142

November 21, 2013

An empirical evaluation of four variants of a universal species–area relationship

9 citations

632 downloads

3,473 views

Daniel J. McGlinn, Xiao Xiao, Ethan P. White

https://doi.org/10.7717/peerj.212 PubMed 24282671

August 30, 2014 - Version: 2

Efficient algorithms for sampling feasible sets of abundance distributions

555 downloads

1,902 views