Vermont EPSCoR Publications and Products


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Author Title [ Type(Desc)] Year
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Poster
Lombard B, Doran EMB. Statistical Meta-Analysis of Agricultrual BMPs and BMP group performance. 2022 Lake Champlain Research Conference [Internet]. 2022 . Available from: https://www.lcbp.org/wp-content/uploads/2016/03/20220518-Lake-Champlain-Research-Conference-2022-Agenda.pdf
Dupigny-Giroux L-A, Hanning J. STEM field internships: a service learning bridge between teacher professional development and student personalized lesson plans. 2014 VT EPSCoR Conference. 2014 .
Gold A, Loffredo J, Addy K, Bernhardt E, Berdanier A, Schroth AW, Inamdar S, Bowden WB. Stream Response to an Extreme Defoliation Event. 2017 AGU (American Geophysical Union) Fall Meeting [Internet]. 2017 . Available from: https://agu.confex.com/agu/fm17/meetingapp.cgi/Paper/260126
Hamshaw SD, Rizzo DM, Underwood KL, Wemple B, Dewoolkar MM. Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data. 2014 NEAEB Conference. 2014 .
Hecht JS, Zia A, Rizzo DM, Schroth A, Vaughan M, Underwood KL. The systematic underestimation of nutrient load variability in coupled streamflow-water quality models: effects on lake cyanobacteria bloom simulations. 2018 AGU (American Geophysical Union) Fall Meeting [Internet]. 2018 . Available from: https://agu.confex.com/agu/fm18/meetingapp.cgi/Paper/385098
Thesis / Dissertation
Dent MM. Science communication across diverse ways of knowing, and collaboration in a landscape-scale natural resource governance network. Burlington, VT: University of Vermont (UVM); 2021. Available from: https://scholarworks.uvm.edu/graddis/1395/
Stryker J. Sediment mobilization from streambank failures: Model development and climate impact studies. Burlington, VT: University of Vermont; 2016.
Vaughan M. Shining Light on the Storm: Using High-Frequency Optical Water Quality Sensors to Characterize and Interpret Storm Nutrient and Carbon Dynamics Among Contrasting Land Uses. Burlington, VT: University of Vermont; 2018.
Underwood KL. Smart Classification and Bayesian Inference for Evaluating River Sensitivity to Natural and Human Disturbances: A Data Science Approach. Burlington, VT: University of Vermont; 2018.
Hamshaw SD. Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data (M.S. Thesis). Burlington VT: University of Vermont; 2014.

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