Staff Profile
Michael Hannam Photo

Biography

Research Interests

I am interested in how species distributions and dynamics are influenced by their biotic and abiotic context. Much of my current work is focused on the application of hierarchical Bayesian modeling to understand how the landscape, and human modification of it, influences marine and aquatic organisms at multiple spatial scales. 
 

To understand the causes and consequences of multiple scales of ecological pattern, I integrate field experiments and measurements, remote sensing and geospatial analyses, and statistical modelling.  I aim to bring these tools to bear on problems of practical management importance.

Education

Ph.D. Ecology, University of Washington

B.S. Biology, University of Notre Dame

Publications

  • Orth, Robert J., Dennison, William C., Lefcheck, Jonathan S., Gurbisz, Cassie, Hannam, Michael, Keisman, Jennifer, Landry, J. B., Moore, Kenneth A., Murphy, Rebecca R., Patrick, Christopher J., Testa, Jeremy, Weller, Donald E. and Wilcox, David J. (2017). Submersed Aquatic Vegetation in Chesapeake Bay: Sentinel Species in a Changing World . Bioscience, 67 (8) , 698-712. http://dx.doi.org/10.1093/biosci/bix058
  • Patrick, Christopher J., Weller, Donald E., Orth, Robert J., Wilcox, David J. and Hannam, Michael P. (2017). Land Use and Salinity Drive Changes in SAV Abundance and Community Composition. Estuaries and Coasts, , 1-16. http://dx.doi.org/10.1007/s12237-017-0250-1
  • David, Aaron T., Goertler, Pascale A. L., Munsch, Stuart H., Jones, Brittany R., Simenstad, Charles A., Toft, Jason D., Cordell, Jeffery R., Howe, Emily R., Gray, Ayesha, Hannam, Michael P., Matsubu, William and Morgan, Erin E. (2016). Influences of Natural and Anthropogenic Factors and Tidal Restoration on Terrestrial Arthropod Assemblages in West Coast North American Estuarine Wetlands. Estuaries and Coasts, 39 (5) , 1491-1504. http://dx.doi.org/10.1007/s12237-016-0091-3
  • Halabisky, Meghan, Moskal, L. M., Gillespie, Alan and Hannam, Michael. (2016). Reconstructing semi-arid wetland surface water dynamics through spectral mixture analysis of a time series of Landsat satellite images (1984–2011). Remote Sensing of Environment, 177 , 171-183. http://dx.doi.org/10.1016/j.rse.2016.02.040