Vermont EPSCoR Publications and Products
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. Information Theoretic Approaches to Characterize Uncertainty in Computational Models of Coupled Human and Natural Systems: Insights from an Integrated Model Predicting Water Quality in Lake Champlain under Alternate Hydro-Climatic, Land Use, And Nutrient. 2022 AGU (American Geophysical Union) Fall Meeting [Internet]. 2022 . Available from: https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1148337
. An integrated Modeling Approach to Assess the Impact of Climate Change Induced Extreme Events and Non-Stationarity on Lake Cyanobacteria Blooms. In: 2019 AGU (American Geophysical Union) Fall Meeting. 2019 AGU (American Geophysical Union) Fall Meeting. San Francisco, CA: American Geophysical Union (AGU); 2019. Available from: https://agu.confex.com/agu/fm19/meetingapp.cgi/Paper/589137
. Iron isotope systematics in Arctic rivers. Comptes Rendus Geoscience [Internet]. 2015 ;347(7-8):377 - 385. Available from: http://linkinghub.elsevier.com/retrieve/pii/S1631071315000504
. Iron speciation and provenance during high flow events from catchments to receiving. In: 2017 AGU (American Geophysical Union) Chapman Conference. 2017 AGU (American Geophysical Union) Chapman Conference. San Juan, PR; 2017. Available from: https://agu.confex.com/agu/17chapman1/webprogram/Paper202417.html
. The Lake Champlain Basin as a Complex Adaptive System: Insights from the Research on Adaptation to Climate Change (RACC) Project. Vermont Journal of Environmental Law [Internet]. 2016 ;17(4):533-563. Available from: http://vjel.vermontlaw.edu/files/2016/08/VJEL_VOL_17_ISSUE_4_LAKE_CHAMPLAIN_SMALLER.pdf
. 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
. Land Use and Season Influence Event‐scale Nitrate and Soluble Reactive Phosphorus Exports and Export Stoichiometry from Headwater Catchments. Water Resources Research [Internet]. 2020 ;56(10):e2020WR027361. Available from: https://onlinelibrary.wiley.com/doi/10.1029/2020WR027361
. Land use influences storm hysteresis of dissolved organic matter character and concentration. In: 2018 AGU (American Geophysical Union) Fall Meeting. 2018 AGU (American Geophysical Union) Fall Meeting. Washington, DC: American Geophysical Union (AGU); 2018. Available from: https://agu.confex.com/agu/fm18/meetingapp.cgi/Paper/436362
. Linking Sediment and Water Column Phosphorus Dynamics to Oxygen, Temperature, and Aeration in Shallow Eutrophic LakesAbstractPlain Language SummaryKey Points. Water Resources Research [Internet]. 2024 ;60(1). Available from: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023WR034813
. Measuring the influence of environmental conditions on dissolved organic matter biodegradability and optical properties: a combined field and laboratory study. Biogeochemistry [Internet]. 2020 ;149:37-52. Available from: https://link.springer.com/article/10.1007/s10533-020-00664-9
. 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
. 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
. Modeling the sensitivity of cyanobacteria blooms to plausible changes in precipitation and air temperature variability. Science of The Total Environment [Internet]. 2021 ;812:151586. Available from: https://www.sciencedirect.com/science/article/pii/S004896972106664X
. 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
. A new machine-learning approach for classifying hysteresis in suspended-sediment discharge relationships using high-frequency monitoring data. Water Resources Research [Internet]. 2018 ;54(6):4040-4058. Available from: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2017WR022238
North East Water Resources Network (NEWRnet): A real-time water quality sensor network to study impacts of climate variability for Delaware, Rhode Island and Vermont. In: 2014 AGU (American Geophysical Union) Fall Meeting. 2014 AGU (American Geophysical Union) Fall Meeting. San Francisco, CA: American Geophysical Union (AGU); 2014.
. Observing Nutrient Dynamics in Streams Draining Varied Land Uses Using In Situ Optical Sensors. In: 2014 AGU (American Geophysical Union) Fall Meeting. 2014 AGU (American Geophysical Union) Fall Meeting. San Francisco, CA: American Geophysical Union (AGU); 2014.
. Phos Cycle and Lake Champlain Relationship – The Real Story. In: Vermont Feed Dealers Conference. Vermont Feed Dealers Conference. Stowe, VT; 2016.
. Physical and Biogeochemical Processes across Seasons in Missisquoi Bay, Lake Champlain: Insights from a Three-dimensional Model. In: 2019 AGU (American Geophysical Union) Fall Meeting. 2019 AGU (American Geophysical Union) Fall Meeting. San Francisco, CA: American Geophysical Union (AGU); 2019. Available from: https://agu.confex.com/agu/fm19/meetingapp.cgi/Paper/551483
. Quantifying Phosphorus Retention in Soils of Riparian Buffers Influenced by Different Land Use Practices. 2017 AGU (American Geophysical Union) Fall Meeting [Internet]. 2017 . Available from: https://agu.confex.com/agu/fm17/meetingapp.cgi/Paper/296345
. Quantifying Sediment and Phosphorous Loading from Streambank Erosion using Terrestrial Laser Scanning to Support Sediment and Nutrient Budgets. 2014 AGU (American Geophysical Union) Fall Meeting. 2014 .
. 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.
. 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
Regional in-situ optical water quality sensor network quantifies influence of land use and seasonality on storm event nitrate and dissolved organic carbon loading. In: 2015 AGU (American Geophysical Union) Fall Meeting. 2015 AGU (American Geophysical Union) Fall Meeting. San Francisco, CA: American Geophysical Union (AGU); 2015.