USGS - science for a changing world

Woods Hole Coastal and Marine Science Center

Woods Hole Coastal and Marine Science Center > Sea Level Rise Hazards and Decision Support > Beach-dependent Shorebirds>Publications

Beach-dependent Shorebirds

Publications

Zeigler, S.L., Thieler, E.R., Gutierrez, B.T., Plant, N.G., Hines, M. Fraser, J.D., Catlin, D.H., Karpanty, S.M., 2017, Smartphone technologies and Bayesian networks to assess shorebird habitat selection. Wildlife Society Bulletin. DOI: 10.1002/wsb.820.

Thieler, E.R., Zeigler, S.L., Winslow, L.A. , Hines, M.K., Read, J.S., Walker, J.I., 2016, Smartphone-based distributed data collection enables rapid assessment of shorebird habitat suitability. PLOS ONE. 11(11): e0164979.  https://doi.org/10.1371/journal.pone.0164979

Sturdivant, E.J., Thieler, E.R., Zeigler, S.L., Winslow, L.A., Hines, M.K., Read, J.S., Walker, J.I., 2016, Biogeomorphic classification and images of shorebird nesting sites on the U.S. Atlantic coast: U.S. Geological Survey data release, https://dx.doi.org/10.5066/F70V89X3.

Gutierrez, B.T., Plant, N.G., Thieler, E.R., Turecek, Aaron, 2015, Using a Bayesian network to predict barrier island geomorphological characteristics. Journal of Geophysical Research: Earth. 120: 2451-2475. https://doi.org/10.1002/2015JF003671

Gieder, K.D., Karpanty, S.M., Fraser, J.D., Catlin, D.H., Gutierrez, B.T., Plant, N.G., AM Turecek, A.M., Thieler, E.R., 2014, A Bayesian network approach to predict nest presence of the federally threatened piping plover (Charadrius melodus) using barrier island features. Ecological Modelling. 276: 38-50. https://doi.org/10.1016/j.ecolmodel.2014.01.005

Gutierrez, B.T., Plant, N.G., Pendleton, E.A., Thieler, E.R., 2014, Using a Bayesian network to predict shoreline-change vulnerability to sea-level rise for coasts of the United States. U.S. Geological Survey Open-File Report 2014-1083. https://doi.org/10.3133/ofr20141083

Accessibility FOIA Privacy Policies and Notices

USA.gov logo U.S. Department of the Interior | U.S. Geological Survey
URL: http://woodshole.er.usgs.gov/project-pages/beach-dependent-shorebirds/publications.html
Page Contact Information: Feedback
Page Last Modified: (GW)