Ryan Chisholm
e-mail: ryan.chis@gmail.com
Address: Ryan Chisholm
Smithsonian Tropical Research Institute
MRC0580-12
Unit 9100 Box 0948
DPO AA 34002-9998
USA
Telephone: +507 212 8216
FAX: +507 212 8148
Publications
Publications by Ryan Chisholm in STRI Bibliography
Research Interests
Current Research
I am interested in theoretical approaches to problems in ecology and conservation biology. I am currently working on models that describe and predict patterns of biodiversity, with particular reference to tropical forest tree communities.
Education and Degrees
PhD in Ecology and Evolutionary Biology (2010)
Advisor: Simon Levin
Princeton University
MA in Ecology and Evolutionary Biology (2007)
Advisor: Simon Levin
Princeton University
BSc (Hons.) in Mathematics and Botany (2001)
Advisor: Mark Burgman
The University of Melbourne, Australia
BA in German (2001)
The University of Melbourne, Australia
Selected Bibliography
Chisholm, R. A. and H. C. Muller-Landau. 2011. A theoretical model linking interspecific variation in density dependence to species abundances. Theoretical Ecology (in press)
Chisholm, R. A. and S. W. Pacala. 2010. Niche and neutral models predict asymptotically equivalent species abundance distributions in high-diversity ecological communities. Proceedings of the National Academy of Sciences 36:15821–15825.
Chisholm, R. A. 2010. Trade-offs between ecosystem services: water and carbon in a biodiversity hotspot. Ecological Economics 69:1973–1987.
Chisholm, R. A. and J. W. Lichstein. 2009. Linking dispersal, immigration and scale in the neutral theory of biodiversity. Ecology Letters 12:1385–1393.
Chisholm, R. A. 2009. The Ecology, Economics and Management of Alien Invasive Species. in S. A. Levin, editor. The Princeton Guide to Ecology. Princeton University Press, Princeton, NJ.
Chisholm, R. A., and R. J. Taylor. 2007. Null-hypothesis significance testing and the critical weight range for Australian mammals. Conservation Biology 21:1641–1645.
Chisholm, R. A., and B. A. Wintle. 2007. Incorporating landscape stochasticity into population viability analysis. Ecological Applications 17:317–322.

