Vermont EPSCoR Publications and Products
] . Applying spectral analysis to quantify the drivers of cyanobacterial blooms. In: IAGLR's 58th Annual Conference on Great Lakes Research. IAGLR's 58th Annual Conference on Great Lakes Research. Burlington, VT; 2015.
. An autoregressive bayesian network to assess climate & nutrient variability impacts on water quality. In: IAGLR 58th Annual Conference on Great Lake Research. IAGLR 58th Annual Conference on Great Lake Research. ; 2015.
. Combined Temperature and Precipitation Variability May Increase the Frequency of Harmful Algal Blooms in Lake Champlain, 1992-2100. In: 2017 AGU (American Geophysical Union) Chapman Conference. 2017 AGU (American Geophysical Union) Chapman Conference. San Juan, PR: American Geophysical Union (AGU); 2017. Available from: https://agu.confex.com/agu/17chapman1/webprogram/Paper201893.html
. Drivers Of Inter-Annual And Spatial Variability In The Behavior Of Iron, Manganese And Phosphorus In The Sediment And Water Column Of Frozen Lakes. In: ASLO 2016. ASLO 2016. Santa Fe, NM: Association for the Sciences of Limnology and Oceanography; 2016. Available from: http://www.sgmeet.com/aslo/santafe2016/viewabstract.asp?AbstractID=28045
. Lake productivity through a lens of ice: is lake trophic status a seasonally-dependent concept?. In: ASLO 2016. ASLO 2016. Santa Fe, NM: Association for the Sciences of Limnology and Oceanography; 2016. Available from: http://www.sgmeet.com/aslo/santafe2016/viewabstract.asp?AbstractID=28018
. A modified framework for trophic status assessment of large lake ecosystems using existing water quality datasets: Application to Lake Champlain. In: New England Association of Environmental Biologists (NEAEB) Annual Conference. New England Association of Environmental Biologists (NEAEB) Annual Conference. ; 2014. Available from: http://www.epa.gov/region1/neaeb2014/pdfs/NEAEB2014ConferenceAbstracts.pdf
. Quantifying Uncertainty in Modeling the Impacts of Climate Change on Water Quality in Freshwater Lakes: A Bayesian Network Model of Missisquoi Bay. In: 38th Annual NEAEB Conference. 38th Annual NEAEB Conference. Burlington VT; 2014.
. TEMPORAL AND SPATIAL VARIATIONS OF NUTRIENT AND TRACE METALS IN A EUTROPHIC LAKE, MISSISQUOI BAY, LAKE CHAMPLAIN. In: ASLO 2015. ASLO 2015. Granada Spain; 2015. Available from: http://www.sgmeet.com/aslo/granada2015/viewabstract.asp?AbstractID=27210
. The Use of Enzyme Hydrolysis to Assess the Seasonal Mobility and Bioavailability of Organic Phosphorus in Lake Sediments. In: American Geophysical Union, Fall Meeting 2013. American Geophysical Union, Fall Meeting 2013. San Francisco, CA; 2013.
. Using Complex Data to Understand Environmental Change in Great Lakes of the World. In: IAGLR's 58th Annual Conference on Great Lakes Research. IAGLR's 58th Annual Conference on Great Lakes Research. Burlington, VT; 2015.
. Climate-driven changes in energy and mass inputs systematically alter nutrient concentration and stoichiometry in deep and shallow regions of Lake Champlain. Biogeochemistry [Internet]. 2017 . Available from: http://link.springer.com/10.1007/s10533-017-0327-8
. Developing a 21st Century framework for lake-specific eutrophication assessment using quantile regression. Limnology and Oceanography: Methods [Internet]. 2015 ;13(5):237 - 249. Available from: http://doi.wiley.com/10.1002/lom3.10021
. Dynamic Coupling of Iron, Manganese, and Phosphorus Behavior in Water and Sediment of Shallow Ice-Covered Eutrophic Lakes. Environmental Science & Technology [Internet]. 2015 ;49(16):9758 - 9767. Available from: http://pubs.acs.org/doi/pdf/10.1021/acs.est.5b02057
. Dynamic internal drivers of a historically severe cyanobacteria bloom in Lake Champlain revealed through comprehensive monitoring. J Great Lakes Research [Internet]. 2015 ;41(3):818-829. Available from: http://www.sciencedirect.com/science/article/pii/S0380133015001343
. Mapping biofuel field: A bibliometric evaluation of research output. Renewable and Sustainable Energy Reviews. 2013 [cited 0BC];28:82 - 91.
. The mobility of phosphorus, iron, and manganese through the sediment - water continuum of a shallow eutrophic freshwater lake under stratified and mixed water-column conditions. Biogeochemistry [Internet]. 2015 . Available from: http://link.springer.com/content/pdf/10.1007/s10533-015-0144-x
. Modeling maximum lipid productivity of microalgae: Review and next step. Renewable and Sustainable Energy Reviews. 2014 [cited 0BC];32:29 - 39.
. Modeling the drivers of interannual variability in cyanobacterial bloom severity using self-organizing maps and high-frequency data. Inland Waters [Internet]. 2017 . Available from: http://www.tandfonline.com/doi/full/10.1080/20442041.2017.1318640
. New tools and views for lake research: Notes from IAGLR 2015 annual meeting. Journal of Lake Sciences [Internet]. 2015 ;27(4):755 - 756. Available from: http://www.jlakes.org/ch/reader/view_abstract.aspx?doi=10.18307/2015.0425
. Quantile regression improves models of lake eutrophication with implications for ecosystem-specific management. Freshwater Biology [Internet]. 2015 :n/a - n/a. Available from: http://doi.wiley.com/10.1111/fwb.12615
. Winter weather and lake-watershed physical configuration drive phospnorus, iron and manganese dynamics in water and sediment of ice-covered lakes. Limnology and Oceanography [Internet]. 2017 ;62(4):1620-1635. Available from: http://onlinelibrary.wiley.com/doi/10.1002/lno.10521/full
. Climate-driven changes in energy and mass inputs alter N:P stoichiometry differently in deep and shallow sites in a large lake. GLEON 17 [Internet]. 2015 . Available from: http://gleon.org/sites/default/files/uploaded/PosterAbstract.pdf
. Metal and Phosphorous behavior in the water and sediment underneath ice cover: a comparative study between hyper- and eutrophic lake systems. 2015 AGU (American Geophysical Union) Fall Meeting [Internet]. 2015 . Available from: https://agu.confex.com/agu/fm15/webprogram/Paper73432.html
. Variations of Sedimentary Phosphorus and Trace Metal Inputs in a Eutrophic bay of Lake Champlain. IAGLR 2015 [Internet]. 2015 . Available from: http://www.iaglr.org/conference/downloads/2015_program.pdf