Vermont EPSCoR Publications and Products
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Hydroclimatic variability and predictability: a survey of recent research. Hydrology and Earth System Sciences [Internet]. 2017 ;21(7):3777 - 3798. Available from: https://www.hydrol-earth-syst-sci.net/21/3777/2017/hess-21-3777-2017.pdf
Hydroclimatic variability and predictability: a survey of recent research. Hydrology and Earth System Sciences [Internet]. 2017 ;21(7):3777 - 3798. Available from: https://www.hydrol-earth-syst-sci.net/21/3777/2017/hess-21-3777-2017.pdf
. Hydropower dams of the Mekong River basin: A review of their hydrological impacts. Journal of Hydrology [Internet]. 2019 ;568(January 2019):285 - 300. Available from: https://www.sciencedirect.com/science/article/pii/S0022169418308072
. If you've seen one worm, have you seen them all? Spatial, community, and genetic variability of tubificid communities in Montana. Freshwater Science [Internet]. 2015 ;34(3):909 - 917. Available from: http://www.jstor.org/stable/info/10.1086/682567
. Impact of Fishing and Stocking Practices on Coregonid Diversity. Food and Nutrition Sciences [Internet]. 2015 ;06(11):1045 - 1055. Available from: http://www.scirp.org/journal/PaperDownload.aspx?DOI=10.4236/fns.2015.611108
. 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/
. Incorporating a Systems Approach into Civil and Environmental Engineering Curricula: Effect on Course Redesign, and Student and Faculty Attitudes. Advances in Engineering Education [Internet]. 2011 [cited 0BC];(Summer). Available from: http://advances.asee.org/wp-content/uploads/vol02/issue04/papers/aee-vol02-issue04-p04.pdf
. Incorporating human behaviour into Earth system modelling. Nature Human Behaviour [Internet]. 2022 ;6(11):1493 - 1502. Available from: https://www.nature.com/articles/s41562-022-01478-5
Influence of land use and hydrologic variability on seasonal dissolved organic carbon and nitrate export: insights from a multi-year regional analysis for the northeastern USA. Biogeochemistry [Internet]. 2019 ;146(1):31 - 49. Available from: http://link.springer.com/10.1007/s10533-019-00609-x
. Informative Sampling For Large Unbalanced Data Sets. In: 4th Workshop on Medical Applications of Genetic and Evolutionary Computation at GECCO 2008. 4th Workshop on Medical Applications of Genetic and Evolutionary Computation at GECCO 2008. ; 2008. Available from: http://www.cs.uvm.edu/~jbongard/papers/2008_GECCO_Lu.pdf
An Integrated Assessment of the Influences of Upland Thermal-Erosional Features on Landscape Structure and Function in the Foothills of the Brooks Range, Alaska. In: Proceedings of the Tenth International Conference on Permafrost. Proceedings of the Tenth International Conference on Permafrost. Salekhard, Russia; 2012. Available from: http://www.lter.uaf.edu/pdf/1645_Bowden_Larouche_2012.pdf
. Integrating solar energy and climate research into science education. Earth's Future [Internet]. 2016 ;4(1):2 - 13. Available from: http://onlinelibrary.wiley.com/doi/10.1002/2015EF000315/full
. Investigating spatial and temporal variability of environmental and biological controls on riparian soil denitrification. Burlington, VT: University of Vermont; Awaiting Publication.
A large clinical trial to improve well-being during the transition to college using wearables: The lived experiences measured using rings study. Contemporary Clinical Trials [Internet]. 2023 ;133:107338. Available from: https://www.sciencedirect.com/science/article/abs/pii/S1551714423002616
A large clinical trial to improve well-being during the transition to college using wearables: The lived experiences measured using rings study. Contemporary Clinical Trials [Internet]. 2023 ;133:107338. Available from: https://www.sciencedirect.com/science/article/abs/pii/S1551714423002616
. Leaf Leachate Chemistry: Regional Variation Across Three Watersheds in the Northeastern United States. In: 2015 AGU (American Geophysical Union) Fall Meeting. 2015 AGU (American Geophysical Union) Fall Meeting. San Francisco, CA: American Geophysical Union (AGU); 2015.
Linking models of human behaviour and climate alters projected climate change. Nature Climate Change [Internet]. 2018 . Available from: https://www.nature.com/articles/s41558-017-0031-7
. Machine Learning a Probabilistic Structural Equation Model to Explain the Impact of Climate Risk Perceptions on Policy Support. In: 2021 Bratislava Conference Earth System Governance. 2021 Bratislava Conference Earth System Governance. Bratislava, Slovakia: Earth System Governance; 2021. Available from: https://www.earthsystemgovernance.org/2021bratislava/wp-content/uploads/2021/09/20210907-Book-of-Abstracts-.pdf
. Machine‐Learning Reveals Equifinality in Drivers of Stream DOC Concentration at Continental ScalesAbstractKey Points. Water Resources Research [Internet]. 2023 ;59(3). Available from: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021WR030551
. Macroinvertebrate Field Guide. [Internet]. 2017 . Available from: https://play.google.com/store/apps/details?id=edu.uvm.epscor.macroinvertebrates&hl=en
. Mapping the Margin: Comparing Marginal Values of Tropical Forest Remnants for Pollination Services. Ecological Applications [Internet]. 2013 [cited 0BC];23(5):1113-1123. Available from: http://www.esajournals.org/doi/abs/10.1890/12-1600.1
. Measuring standardized effect size improves interpretation of biomonitoring studies and facilitates meta-analysis. Freshwater Science. 2012 [cited 0BC];31(3):800-812.
. Measuring The Influence Of Environmental Conditions On Dissolved Organic Matter Biodegradability And Optical Properties: A Combined Field And Laboratory Study. Burlington, VT: University of Vermont (UVM); 2019. Available from: https://scholarworks.uvm.edu/graddis/1106/
. 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
. 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