Vermont EPSCoR Publications and Products
Springtails: Tiggers of the Invertebrate World. Northern Woodlands [Internet]. 2020 . Available from: https://northernwoodlands.org/outside_story/article/springtails-tiggers
. Storm impacts on phytoplankton community dynamics in lakes. Global Change Biology [Internet]. 2020 . Available from: https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.15033
The Task Before Us. Green Energy Times [Internet]. 2020 . Available from: https://greenenergytimes.org/2020/11/23/the-task-before-us/
. Temperature controls production but hydrology regulates export of dissolved organic carbon at the catchment scale. Hydrology and Earth System Sciences [Internet]. 2020 ;24(2):945 - 966. Available from: https://www.hydrol-earth-syst-sci.net/24/945/2020/hess-24-945-2020.html
Time to Re-imagine Capitalism. Green Energy Times [Internet]. 2020 . Available from: https://greenenergytimes.org/2020/01/15/time-to-re-imagine-capitalism/
. The Truth Matters. Rutland Herald [Internet]. 2020 . Available from: https://www.rutlandherald.com/opinion/perspective/weekly-planet-the-truth-matters/article_10f11295-e9b7-5608-a601-17965c512865.html
. Under-ice mesocosms reveal the primacy of light but the importance of zooplankton in winter phytoplankton dynamics. Limnology and Oceanography [Internet]. 2020 . Available from: https://aslopubs.onlinelibrary.wiley.com/doi/full/10.1002/lno.11618
. Understanding Land–Atmosphere–Climate Coupling from the Canadian Prairie Dataset. In: Prime Archives in Environmental Research. 1stst ed. Prime Archives in Environmental Research. Hyderabad, India: Vide Leaf; 2020. Available from: https://videleaf.com/wp-content/uploads/2020/09/Understanding-Land%E2%80%93Atmosphere%E2%80%93Climate-Coupling-from-the-Canadian-Prairie-Dataset.pdf
. Updating urban design floods for changes in central tendency and variability using regression. Advances in Water Resources [Internet]. 2020 ;136:103484. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0309170819302106
. Use of machine learning to extract patterns from long-term monitoring data across the US. ESA2020 (Harnessing the Ecological Data Revolution) [Internet]. 2020 . Available from: https://eco.confex.com/eco/2020/meetingapp.cgi/Paper/86651
. Utilizing a Self-Organizing Map to Identify Synoptic Patterns in Heavy Precipitation Events in the Northeastern United States. In: AMS100 (American Meteorological Society 100th Annual Meeting). AMS100 (American Meteorological Society 100th Annual Meeting). Boston, MA: American Meteorological Society; 2020. Available from: https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/368138
. Visualizing Climate Change Adaptation: An Effective Tool for Agricultural Outreach?. Weather, Climate, and Society [Internet]. 2020 ;12(1):47 - 61. Available from: https://journals.ametsoc.org/doi/abs/10.1175/WCAS-D-19-0049.1
. Water Dragons. Northern Woodlands. 2020 .
. Watershed data science at the event scale: Machine learning for event concentration-discharge analysis. Virtual Summit: Incorporating Data Science and Open Science Techniques in Aquatic Research [Internet]. 2020 . Available from: https://freshwaterecology.wordpress.com/2020/07/08/conference-workshop-virtual-summit-incorporating-data-science-and-open-science-techniques-in-aquatic-research/
. Watershed data science at the event scale: Revealing insights in watershed function through analysis of concentration-discharge relationships. In: 2020 AGU (American Geophysical Union) Fall Meeting. 2020 AGU (American Geophysical Union) Fall Meeting. Virtual: American Geophysical Union (AGU); 2020. Available from: https://agu.confex.com/agu/fm20/webprogram/Paper766889.html
. Wikipedia can help resolve information inequality in the aquatic sciences. Limnology and Oceanography Letters [Internet]. 2020 . Available from: https://onlinelibrary.wiley.com/doi/10.1002/lol2.10168
. Acoustic emission sensing for crack monitoring in prefabricated and prestressed reinforced concrete bridge girders. Journal of Bridge Engineering [Internet]. 2019 ;24(4). Available from: https://ascelibrary.org/doi/full/10.1061/%28ASCE%29BE.1943-5592.0001377
. Adaptive governance of coupled social-ecological systems: Introduction to the special issue themes. Complexity, Governance & Networks [Internet]. 2019 ;5(1):1 - 4. Available from: https://ubp.uni-bamberg.de/ojs/index.php/cgn/article/view/92
. Advancing Public Service through Big Data and Artificial Intelligence. In: 2019 Pre-Conference Workshop. 2019 Pre-Conference Workshop. Washington, DC: American Society for Public Administration; 2019. Available from: https://scnsaspa.wordpress.com/workshops/
. An Analog Approach for Weather Estimation Using Climate Projections and Reanalysis Data. Journal of Applied Meteorology and Climatology [Internet]. 2019 ;58(8):1763 - 1777. Available from: https://journals.ametsoc.org/doi/pdf/10.1175/JAMC-D-18-0255.1
. Application of unmanned aircraft system (UAS) for monitoring bank erosion along river corridors. Geomatics, Natural Hazards and Risk [Internet]. 2019 ;10(1):1285 - 1305. Available from: https://www.tandfonline.com/doi/full/10.1080/19475705.2019.1571533
. Assessing correlates of farmer behavior to prevent Harmful Algal Blooms (HABs): A multi-level analysis. In: APHA 2019 (American Public Health Association Annual Meeting and Expo). APHA 2019 (American Public Health Association Annual Meeting and Expo). Philadelphia, PA: American Public Health Association (APHA); 2019. Available from: https://apha.confex.com/apha/2019/meetingapp.cgi/Paper/448021
Assessing Precipitation Changes and Mechanisms Over the Northeastern United States. Hanover, NH: Dartmouth College; 2019 p. 106. Available from: https://search.proquest.com/docview/2279779609/abstract/657C32449D844A81PQ/
. Automating the Classification of Hysteresis in Event Concentration-Discharge Relationships. In: SEDHYD 2019. SEDHYD 2019. Reno, NV: SEDHYD, INC.; 2019. Available from: https://www.sedhyd.org/2019/openconf/modules/request.php?module=oc_program&action=view.php&id=70&file=1/70.pdf
. Calanoid copepod zooplankton density is positively associated with water residence time across the continental United States . PLOS ONE [Internet]. 2019 ;14(1):e0209567. Available from: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0209567
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