Cory Merow

EEB, Center Research Scientist: Cory Merow

Cory is a quantitative ecologist interested in building mechanistic models to forecast population and community responses to environmental change. Even the best data sets are imperfect for predicting global change responses, so he develop tools to combine data sources and explore data sets to gain insights into how biological systems may change.

More information: https://cmerow.github.io/.

Department of Ecology and Evolutionary Biology

OSBORN Room 401 -Jetz Lab
Yale University  
165 Prospect Street
New Haven, CT 06520-8106, USA

Area of Interests: 

New tools for distribution modeling, Demographic distribution models, Maximum entropy and ecological theory, Plant community abundance dynamics.

Publications:

Merow, C., A. Wilson, W. Jetz. Combining expert range maps with sparse occurrence records to improve range predictions. In press, Global Ecology and Biogeography.

Aiello-Lammens, M., J. Slingsby, D. Euston-Brown, H. Kilroy, C. Merow, J.A. Silander Jr. 2016. Processes of community composition in an environmentally heterogeneous, high biodiversity region. In press, Ecography.

Evans, M.E.K., C. Merow, S.M. McMahon, S. Record, B.J. Enquist. 2016. Towards process-based range modeling of many species. Trends in Ecology and Evolution. 31: 860-871.

Griffith, A., R. Salguero-Gomez, C. Merow, S.M. McMahon. 2016. Demography beyond the population. Journal of Ecology 102: 272-280.

Merow, C. Methods in Population Ecology. 2016. Oxford Bibliographies in Ecology.

Merow, C., J. Allen, M. Aiello-Lammens, J.A. Silander Jr. 2016. Building better range models with Maxent and Point Process Models by integrating spatially explicit information. Global Ecology and Biogeography. 25: 1022-1036.

Rominger. A, C. Merow. meteR: An R package for testing the Maximum Entropy Theory of Ecology. 2016. In Press, Methods in Ecology and Evolution. DOI:?10.1111/2041-210X.12625

Needham, J., C. Merow, N. Butt, Y. Malhi, T. Marthews, M. Morecroft, and S. M. McMahon. 2016. Forest community response to pathogens: the case of ash dieback in a British woodland. Journal of Ecology 102:315-330. Editor?s Choice in Science: link

Metcalf, C.J.E., S.P. Ellner, D.Z. Childs, R. Salguero-Gomez, C. Merow, S.M. McMahon, E. Jongejans, M. Rees. Modeling annual variation for stochastic population dynamics using Integral Projection Models. 2015. Accepted, Methods in Ecology and Evolution.

Visser, M.D., S.M. McMahon, P.M. Dixon, C. Merow, S. Record, E. Jongejans. Speeding up ecological and evolutionary computations in R. 2015. PLoS Computational Biology 11: e1004140. Recommended on F1000.

Merow, C., A. M. Latimer, A. Wilson, S. McMahon, A. Rebelo, J. A. Silander Jr. On using integral projection models to generate demographically driven predictions of species’ distributions: development and validation using sparse data. 2014. Ecography, 37: 1167-1183.link

Merow, C., M. Smith, T. Edwards, A. Guisan, S. McMahon, S. Normand, W. Thuiller, R. Wuest, N. Zimmermann, J. Elith. 2014. What do we gain from simplicity versus complexity in species distribution models? Ecography, 37: 1267-1281. link

Rominger, A., C. Merow, J. Harte. meteR: Analysis with the Maximum Entropy Theory of Ecology. 2014. R package version 1.0. link

Thuiller, W., T. Munkemuller, K.H. Schiffers, D. Georges, S. Dullinger, V.M. Eckhart, T. C. Edwards, D. Gravel, G. Kunstler, C. Merow, K. Moore O’Leary, C. Piedallu, S. Vissault, N.E. Zimmermann, D. Zurell, F. M. Schurr. 2014. Does probability of occurrence relate to demographic performance? Ecography, 37: 1155-1166.

Merow, C., J. Dahlgren, C.J.E. Metcalf, D. Childs, M.E.K. Evans, E. Jongejans, S. Record, M. Rees, R. Salguero-Gomez, S.M. McMahon. Advancing population ecology with integral projection models: a practical guide. Methods in Ecology and Evolution 5: 99-110.link

Merow, C., J. Silander. A comparison of Maxent and Maxlike for modeling species distributions. Methods in Ecology and Evolution.5: 215-225.link

Merow, C., M. Smith, J. A. Silander Jr. 2013. A practical guide to Maxent: what it does, and why inputs and settings matter. Ecography 36: 1-12. link Denoted Editor’s Choice and one of Ecography’s 10 most accessed papers in 2013. One of Ecography’s most accessed papers in 2013 (#6), 2014 (#2), 2015(#11)

Metcalf, C.J.E., S.M. McMahon, R. Salguero-Gomez, E. Jongejans & C. Merow. 2012. IPMpack: Builds and analyses Integral Projection Models. R package version 2.0. package description

Vieilledent, G., A. M. Latimer, A. E. Gelfand, C. Merow, A.M. Wilson, F. Mortier & J. A. Silander Jr. 2012. hSDM: hierarchical Bayesian species distribution models. R package version 1.0. package description

Merow, C., A. Latimer & J. Silander. 2011. Can entropy maximization use functional traits to explain species abundances? A comprehensive evaluation. Ecology 92: 1523-1537. pdf, supplement

Merow, C., N. LaFleur, J. A. Silander Jr., A. Wilson & M. Rubega. 2011. Developing dynamic, mechanistic species distribution models: predicting bird-mediated spread of invasive plants across northeastern North America. American Naturalist 178: 30-43. pdf, supplement

Midgley, G.F., R. Altwegg, D. Guo & C. Merow. 2009. Are quiver trees a sentinel for climate change in arid southern Africa? South African National Biodiversity Institute. ISBN: 978-0-620-43639-7 pdf

Rawitscher, G., C. Merow, M. Nguyen & I. Simbotin. 2002. Resonances and quantum scattering for the Morse potential as a barrier. American Journal of Physics 70: 935-944. pdf