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Palmer, M. W. and D.J. McGlinnin 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.

McGlinn, D.J., X. Xiao, J. Kitzes, E.P. White. 2015. Exploring the spatially explicit predictions of the Maximum Entropy Theory of Ecology. Global Ecology and Biogeography. open access link

Xiao, X., D.J. McGlinn, E.P. White. 2015. A Strong Test of the Maximum Entropy Theory of Ecology. The American Naturalist. 185: E70-E80. open access link

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. 2014. Functional distinctiveness of major plant lineages. Journal of Ecology. 102: 345–356. open access link

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. 2014. Into the cold – three keys to radiation of angiosperms into freezing environments. Nature. 506: 89-92. paywalled link

McGlinn, D.J., X. Xiao, and E.P. White. 2013. An empirical comparison of four variants of a universal species-area relationship. PeerJ. 1: e212 open access link, blog postpreprintESA 2013 slides

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

McGlinn, D.J. and A.H. Hurlbert. 2012. Scale dependence in species turnover reflects variance in species occupancy. Ecology. 93: 294-302. pdf , appendices

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

McGlinn, D.J. and M.W. Palmer. 2010. Spatial structure alters the shape of the unimodal species richness-biomass relationship in a neutral model. Diversity. 2: 550-560. open access link, appendices

McGlinn, D.J. and M.W. Palmer. 2009. Modeling the sampling effect in the species-time-area relationship. Ecology. 90:836-846. pdf, appendices

Palmer, M.W., D.J. McGlinn, and J.F. Fridley. 2008. Artifacts and artifictions in biodiversity research. Folia Geobotanica. 43:245-257. pdf

Palmer, M.W., D.J. McGlinn, L. Westerberg, and P. Milberg. 2008. Indices for detecting changes in species composition: some simplifications. Ecology. 89:1769-1771. pdf, appendices

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


McGlinn, D.J. and M.W. Palmer. in review. Examining the foundations of heterogeneity-based management for promoting plant diversity in a disturbance-prone ecosystem. PNAS. (preprint & code/data)

Xiao, X., D.J. McGlinn, and E.P. White. in review. A strong test of the Maximum Entropy Theory of Ecology. American Naturalist. (preprint)

Locey, K. and D.J. McGlinn. in review. 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. revision. Determinants of composition of plant viruses at the Nature Conservancy’s Tallgrass Prairie Preserve, Oklahoma. Molecular Ecology.

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)

Non-peer reviewed

McGlinn, D.J. 2012. Dictionaries are a scientist’s friend. Software Carpentry Blog. Link:

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

Software Products

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

Link to Google Scholar Profile

Link to Github Profile