Quantitative exploration of the drivers and impacts of diversity

Analysis of large-scale patterns in species’ and community traits over time and space and relationships to drivers may be important to identifying and understanding issues beyond the scope of empirical studies. Rapid increases in available data and developments in statistics and computing power allow these patterns to be identified and analyzed. We try to understand principles that govern community structure and functioning by analyzing "big data", developing models to explain and predict how individual, populations, and communities grow, and carrying out meta-analyses to put our field work into the larger context of ecological research.

Related Articles (* indicate undergraduate author)

Gosnell, J.S., Macfarlan, J. A.+, Shears, N.T., and Caselle, J. E. 2014. A dynamic oceanographic front drives biogeographical structure in invertebrate settlement along Santa Cruz Island, CA. Marine Ecology Progress Series 507:181-196.

Cavanaugh, K.C., Gosnell, J.S., Davis, S. L., Ahumada, J., Boundja, R.P., Clark, D.B., Mugerwa, B., O’Brien, T.G., Rovero, F., Sheil, D. Vasquez, R., and Adelman, S. 2014. Taxonomic diversity and functional dominance correlate with carbon storage in tropical forests on global scales. Global Ecology and Biogeography 23:563-573.

Viola, D. V., Mordecai, E. A., Jaramillo, A. G., Sistla, S. A., Alberton, L. K., Gosnell, J. S., Cardinale, B. J., and Levine, J. M. 2010. Competition-defense tradeoffs and the maintenance of plant diversity. Proceedings of the National Academy of Science 107: 17217-17222.

Gosnell, J. S., G. Rivera, and R. W. Blob. 2009. A phylogenetic analysis of sexual size dimorphism in turtles. Herpetologica 65:70-81.