Vermont EPSCoR Publications and Products
] . HIGH-TEMPORAL-RESOLUTION MONITORING OF HARMFUL ALGAL BLOOM DYNAMICS IN A HIGHLY EUTROPHIC SHALLOW BAY OF LAKE CHAMPLAIN. In: ASLO Annual Conference. ASLO Annual Conference. New Orleans, LA.; 2013.
. Modeling the impacts of climate change on water quality in lake Champlain: Design of an integrated assessment model using Pegasus scientific workflow. In: 2014 Vermont Monitoring Cooperative and Mt. Mansfield science and stewardship conference. 2014 Vermont Monitoring Cooperative and Mt. Mansfield science and stewardship conference. Burlington, VT; 2014. Available from: http://www.uvm.edu/~imohamme/PDF/EPSCoR-VMC-DrHamed-IAM-Pegasus.pdf
. A novel framework for quantifying past methane recycling by Sphagnum-methanotroph symbiosis using carbon and hydrogen isotope ratios of leaf wax biomarkers. Geochemistry, Geophysics, Geosystems [Internet]. 2014 [cited 0BC]:n/a - n/a. Available from: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2014GC005242
. 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 studies of organic phosphorus cycling in sediments of a eutrophic bay in Lake Champlain (USA). Sustainable Phosphorus Summit, 4th International Symposium [Internet]. 2014 . Available from: http://sps2014.cirad.fr/content/download/4415/32431/version/1/file/Book+of+Abstracts+SPS+2014.pdf
. 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.
. Characterization of Organic Phosphorus Form and Bioavailability in Lake Sediments using P Nuclear Magnetic Resonance and Enzymatic Hydrolysis. Journal of Environment Quality [Internet]. 2015 . Available from: https://dl.sciencesocieties.org/publications/jeq/abstracts/0/0/jeq2014.06.0273
. 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
. 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
. Measuring The Climate Change Impact on Water Quality Using a Weather Generator Pegasus Workflow. In: IAGLR 58th Annual Conference on Great Lake Research. IAGLR 58th Annual Conference on Great Lake Research. Burlington, VT; 2015. Available from: http://www.researchgate.net/publication/272180119_Measuring_The_Climate_Change_Impact_on_Water_Quality_Using_a_Weather_Generator_Pegasus_Workflow
. 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
. 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
. 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
. 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
. 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
Coupled impacts of climate and land use change across a river-lake continuum: insights from an integrated assessment model of Lake Champlain’s Missisquoi Basin, 2000-2040. Environmental Research Letters [Internet]. 2016 ;11(11):114026. Available from: http://stacks.iop.org/1748-9326/11/i=11/a=114026?key=crossref.46f2304a408b74e1eb473acc5fa39830
. 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 Multiscale Analysis of the Factors Controlling Nutrient Dynamics and Cyanobacteria Blooms in Lake Champlain. Burlington, VT: University of Vermont; 2016.
. 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
. 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
. 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