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. Our projects focus on considering how to define and quantify drivers, diversity, and impacts and using these relationships to test hypotheses derived from experiments concerning the formation and impacts of diversity on a broader scale. Past projects included work on trends driving species and community diversity, while current projects are focused on using large-scale datasets from kelp and tropical forests to consider how we define diversity, how it's formed, and how it relates to ecosystem services.
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.