A.E. Zanne, D.C. Tank, W.K. Cornwell, J.M. Eastman, S.A. Smith, R.G. FitzJohn, D.J. McGlinn, B.C. O’Meara, A.T. Moles, P.B. Reich, D.L. Royer, D.E. Soltis, P.F. Stevens, M. Westoby, I.J. Wright, L. Aarssen, R.I. Bertin, A. Calaminus, R. Govaerts, F. Hemmings, M.R. Leishman, J. Oleksyn, P.S. Soltis, N.G. Swenson, L. Warman, and J.M. Beaulieu. accepted. Into the cold – three keys to radiation of angiosperms into freezing environments. Nature.
Cornwell, W.K., M. Westoby, D.S. Falster, R.G. FitzJohn, B.C. O’Meara, D.J. McGlinn, J.M. Eastman, A.T. Moles, P.B. Reich, D.C. Tank, I.J. Wright, L. Aarssen, J.M. Beaulieu, R.M. Kooyman, M.R. Leishman, Ü. Niinemets, J. Oleksyn, A. Ordonez, M.W. Pennell, D.L. Royer, S.A. Smith, P.F. Stevens, L. Warman, P. Wilf, H. Maherali, E.T. Miller, A.E. Zanne. accepted. Functional distinctiveness of major plant lineages. Journal of Ecology.
Palmer, M. W. and D.J. McGlinn. in press. Scale detection using semivariograms and autocorrelograms. in S. E. Gergel and M. G. Turner, editors. Learning Landscape Ecology: A Practical Guide to Concepts and Techniques.
White, E.P., E. Baldridge, Z.T. Brym, K.J. Locey, D.J. McGlinn, and S.R. Supp. 2013. Nine simple ways to make it easier to (re)use your data. Ideas in Ecology and Evolution. 6(2): 1-10. open access link, preprint, blog post
Rocchini, D., D.J. McGlinn, C. Ricotta, M. Neteler, T. Wohlgemuth. 2011. Topographic complexity and spatial scale influence the relationship between spectral diversity and plant species richness. Journal of Vegetation Science. 22: 688–698. pdf
Scheiner, S.M., A. Chiarucci, G.A. Fox, M.R. Helmus, D.J. McGlinn, and M.R. Willig. 2011. The underpinnings of the relationship between space, time, and species richness. Ecological Monographs. 81: 195-213. pdf
McGlinn, D.J. and M.W. Palmer. 2011. Quantifying the influence of environmental texture on the rate of species turnover – evidence from two habitats. Plant Ecology. 212: 495–506. pdf
McGlinn, D.J., R.J. Churchill, and M.W. Palmer. 2010. Effects of a tornado on a Cross Timbers bird community. The Southwestern Naturalist. 55: 460-466. pdf
McGlinn, D.J., P.G. Earls, and M.W. Palmer. 2010. A twelve-year study on the scaling of vascular plant composition in an Oklahoma Tallgrass Prairie. Ecology. 91: 1872. appendices
Palmer, M.W., D.J. McGlinn, and J.F. Fridley. 2008. Artifacts and artifictions in biodiversity research. Folia Geobotanica. 43:245-257. pdf
Applequist, W.L., D. J. McGlinn, M. Miller, Q.G. Long, and J.S. Miller. 2007. How well do herbarium data predict the location of present populations? A test using Echinacea species in Missouri. Biodiversity and Conservation. 16:1397-1407. pdf
Xiao, X., D.J. McGlinn, and E.P. White. in review. A strong test of the Maximum Entropy Theory of Ecology. Proceedings of the Royal Society B. (preprint)
Locey, K. and D.J. McGlinn. submitted. Efficient algorithms for sampling feasible sets of ecological patterns of abundance. Methods in Ecology and Evolution. (preprint & associated python and R packages)
Thapa, V.T., D.J. McGlinn, P.W. Palmer, and U. Melcher. in revision. Determinants of composition of plant viruses at the Nature Conservancy’s Tallgrass Prairie Preserve, Oklahoma. Molecular Ecology.
McGlinn, D.J., P.G. Earls, and M.W. Palmer. in prep. Inherent spatiotemporal variation trumps fire and grazer effects in an Oklahoma tallgrass prairie.
McGlinn, D.J. and A.H. Hurlbert. in prep. Disentangling within- and between-species components of spatial community variation reveals processes driving community assembly. (pdf, ESA 2011 Slides, & Associated R package)
McGlinn, D.J. 2012. Dictionaries are a scientist’s friend. Software Carpentry Blog. Link: http://software-carpentry.org/blog/2012/05/dictionaries-are-a-scientists-friend.html
Gilmore, M.J. and McGlinn, D.J. 2008. General Biology Lab Manual. Northern Oklahoma College.
McGlinn, D.J. 2007. New species discovered. The Docent News of the Tallgrass Prairie Preserve. The Nature Conservancy. July edition. pdf
Vario: community variograms and associated null models. R package. link
rGBIF: Interface to the Global Biodiversity Information Facility API methods. R package. link
METE: Code for working with the Maximum Entropy Theory of Ecology. Python package. link
METE-Spatial: Research on the spatial predictions of the Maximum Entropy Theory of Ecology. R and Python code. link
Partitions: code for integer partitioning. R and Python packages. link