Vermont EPSCoR Publications and Products
Impacts of Land Use and Landscape Position in Denitrification Rates during Spring Snowmelt Period. 2019 SACNAS - The National Diversity in STEM Conference [Internet]. 2019 . Available from: https://www.2019sacnas.org/
. Prey selection by the Lake Superior fish community. Journal of Great Lakes Research [Internet]. 2012 [cited 0BC];38(2):326 - 335. Available from: http://www.sciencedirect.com/science/article/pii/S0380133012000524
. Phosphorus Characterization and Contribution from Eroding Streambank Soils of Vermont’s Lake Champlain Basin. Journal of Environmental Quality [Internet]. 2015 . Available from: https://dl.sciencesocieties.org/publications/jeq/abstracts/44/6/1745
. Reconstructing microtopography and plant community characteristics using n-alkane distributions and compound-specific ?13C signatures in ombrotrophic peat. Organic Geochemistry. Submitted Publications and Products [cited 0BC].
. 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.
. 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
. 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 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
. 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
. 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
. Climate mitigation policies and actions: access and allocation issues. International Environmental Agreements: Politics, Law and Economics [Internet]. 2020 . Available from: http://link.springer.com/article/10.1007/s10784-020-09483-7
. Are the Laurentian Great Lakes great enough for Hjort?. ICES Journal of Marine Science. 2014 [cited 0BC].
. Spatiotemporal Trajectories as a New Approach for Studying Concentration-discharge Relationships of Hydrological Events. 2018 AGU (American Geophysical Union) Fall Meeting [Internet]. 2018 . Available from: https://agu.confex.com/agu/fm18/meetingapp.cgi/Paper/378480
. Spatiotemporal trajectories as a new approach for studying concentration-discharge relationships of hydrological events. In: 2019 UVM Student Research Conference. 2019 UVM Student Research Conference. Burlington, VT: University of Vermont (UVM); 2019. Available from: https://scholarworks.uvm.edu/src/2019/program/372/
. Multivariate event time series analysis using hydrological and suspended sediment data. Journal of Hydrology [Internet]. 2021 ;593:125802. Available from: https://www.sciencedirect.com/science/article/pii/S0022169420312634
. A benchmark study on time series clustering. Machine Learning with Applications [Internet]. 2020 ;1:100001. Available from: https://www.sciencedirect.com/science/article/pii/S2666827020300013
. Somtimes: self organizing maps for time series clustering and its application to serious illness conversations. Data Mining and Knowledge Discovery [Internet]. 2023 . Available from: https://link.springer.com/article/10.1007/s10618-023-00979-9
. Foraging, bioenergetic, and predation constraints on diel vertical migration: field observations and modeling of reverse migration by Baltic Sea young-of-year herring (Clupea harengus). Journal of Fish Biology [Internet]. 2011 [cited 0BC];78:449-465. Available from: http://onlinelibrary.wiley.com/doi/10.1111/j.1095-8649.2010.02855.x/pdf
. Hidden Markov Model Signal Classification. In: Comparative Bioacoustics: An Overview. Comparative Bioacoustics: An Overview. Oak Park, IL.: Bentham Science Publishers, ; 2017. Available from: http://www.eurekaselect.com/ebook_volume/2197
. 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
. 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
. 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
. 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
. 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
. Interacting effects of climate change and soil characteristics on carbon and nitrogen loss from northern hardwood forests. In: Ecological Society of America (ESA) 2018 Annual Meeting. Ecological Society of America (ESA) 2018 Annual Meeting. New Orleans, LA: Ecological Society of America (ESA); 2018. Available from: https://eco.confex.com/eco/2018/webprogrampreliminary/Paper74214.html
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