Vermont EPSCoR Publications and Products


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Ivanova A, Zia A, Ahmad P, Bastos-Lima M. 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
Isles PDF, Nichols JE, Peteet DM. 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].
Isles PDF, Giles CD, Schroth AW, Schuett E, Gearhart TA, Druschel GK. 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.
Isles PDF, Giles CD, Gearhart TA, Xu Y, Druschel GK, Schroth AW. 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
Isles PDF. A Multiscale Analysis of the Factors Controlling Nutrient Dynamics and Cyanobacteria Blooms in Lake Champlain. Burlington, VT: University of Vermont; 2016.
Isles PDF, Xu Y, Stockwell JD, Schroth AW. 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
Isles PDF, Xu Y, Stockwell JD, Schroth AW. 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
Isles PDF, Rizzo DM, Xu Y, Schroth AW. 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
Ishee ER, Ross DS, Garvey KM, Bourgault RR, Ford CR. 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
Isaac EJ, Hrabik TR, Stockwell JD, Gamble AE. 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
Irizarry PGarcia, Lancellotti B, Kincaid D, Adair EC. 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/
Inamdar S, Vaughan M, Rowland R, Winters C, Addy K, Schroth AW, Gold A, Bowden WB, Vermilyea A, Parr T, et al. “Hot moments” of carbon and nitrogen in streams: Key insights from in-situ, high-frequency optical sensors from the North East Water Resources Network (NEWRnet). In: 2015 AGU (American Geophysical Union) Fall Meeting. 2015 AGU (American Geophysical Union) Fall Meeting. San Francisco, CA: American Geophysical Union (AGU); 2015.