Vermont EPSCoR Publications and Products
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Author Title [ Type] Year Filters: First Letter Of Title is S [Clear All Filters]
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
. STEM field internships: a service learning bridge between teacher professional development and student personalized lesson plans. 2014 VT EPSCoR Conference. 2014 .
. 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
. Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data. 2014 NEAEB Conference. 2014 .
. 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
. 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/
. Sediment mobilization from streambank failures: Model development and climate impact studies. Burlington, VT: University of Vermont; 2016.
. 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.
. Smart Classification and Bayesian Inference for Evaluating River Sensitivity to Natural and Human Disturbances: A Data Science Approach. Burlington, VT: University of Vermont; 2018.
. Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data (M.S. Thesis). Burlington VT: University of Vermont; 2014.
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