Vermont EPSCoR Publications and Products
] . Modeling the Sensitivity of Blacklegged Ticks (Ixodes scapularis) to Temperature and Land Cover in the Northeastern United States. Journal of Medical Entomology [Internet]. 2021 ;58(1):416-427. Available from: https://academic.oup.com/jme/article-abstract/58/1/416/5903250?redirectedFrom=fulltext
. Modeling the role of rainfall patterns in seasonal malaria transmission. Climatic Change [Internet]. 2012 [cited 0BC];112(3-4):673 - 685. Available from: http://www.springerlink.com/content/w2t2736285427465/fulltext.pdf
. Modeling the Influence of Public Risk Perceptions on the Adoption of Green Stormwater Infrastructure: An Application of Bayesian Belief Networks Versus Logistic Regressions on A Statewide Survey of Households in Vermont. Water [Internet]. 2020 ;12(10):2793. Available from: https://www.mdpi.com/2073-4441/12/10/2793
. Modeling the impacts of climate change on water quality in lake Champlain: Design of an integrated assessment model using Pegasus scientific workflow. In: 2014 Vermont Monitoring Cooperative and Mt. Mansfield science and stewardship conference. 2014 Vermont Monitoring Cooperative and Mt. Mansfield science and stewardship conference. Burlington, VT; 2014. Available from: http://www.uvm.edu/~imohamme/PDF/EPSCoR-VMC-DrHamed-IAM-Pegasus.pdf
. Modeling the impacts of changing climatic extremes on streamflow and sediment yield in a northeastern US watershed. Journal of Hydrology: Regional Studies [Internet]. 2018 ;17:83 - 94. Available from: https://www.sciencedirect.com/science/article/pii/S2214581817301064
. Modeling the impact of extreme events on the water quality in Lake Champlain. In: Lake Champlain Research Conference. Lake Champlain Research Conference. Burlington, VT: Lake Champlain Basin Program; 2018. Available from: http://www.lcbp.org/water-environment/data-monitoring/lake-champlain-research-conference/
. Modeling the Dynamics of Soil Organic Matter and Nutrient Cycling. In: Soil Microbiology, Ecology and Biochemistry. Soil Microbiology, Ecology and Biochemistry. ; 2015. Available from: https://books.google.com/books?id=gDnLAwAAQBAJ&pg=PR13&lpg=PR13&dq=Modeling+the+Dynamics+of+Soil+Organic+Matter+and+Nutrient+Cycling+adair&source=bl&ots=reqLNVpYjg&sig=uweMzzG7XFDGCl1ezbAS4PIY_2U&hl=en&sa=X&ei=wew0VZ7FMIKjsAWk3YDoBQ&ved=0CCMQ6AEwAA#v=onep
. 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 Cooperative and Adversarial Behaviors of Farmer and Regulator Agents in Vermont's Missisquoi Bay Area. In: Second Northeast Regional Conference on Complex Systems (NERCCS 2019). Second Northeast Regional Conference on Complex Systems (NERCCS 2019). Binghamton, NY: Northeast Regional Conference on Complex Systems (NERCCS); 2019. Available from: http://coco.binghamton.edu/nerccs/
. Modeling sediment mobilization using a distributed hydrology model coupled with a bank stability model. Water Resources Research [Internet]. 2017 . Available from: http://onlinelibrary.wiley.com/doi/10.1002/2016WR019143/full
. Modeling of detensioning and transport of prefabricated and prestressed reinforced concrete bridge girders. In: 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-9). 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-9). St. Louis, MO: International Society for Structural Health Monitoring of Intelligent Infrastructure; 2019. Available from: https://shmii-9.mst.edu/wp-content/uploads/sites/3/2019/07/SHMII-9-Conference-Program-PRINTED-VERSION.pdf
. Modeling maximum lipid productivity of microalgae: Review and next step. Renewable and Sustainable Energy Reviews. 2014 [cited 0BC];32:29 - 39.
. Modeling Governance and Policy Drivers of Water Quality in Light of Climate Change: the Place of Public Administration Theory within a Transdisciplinary Research Project. In: 20th International Research Society on Public Management Conference 2016. 20th International Research Society on Public Management Conference 2016. Hong Kong: International Research Society on Public Management (IRSPM); 2016. Available from: http://programme.exordo.com/irspm2016/delegates/presentation/411/
. Modeling Extreme Event Preparedness and Regulator Feedback in the Missisquoi Bay Area of Vermont. 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/63/
. Modeling Alternative Collaborative Governance Network Designs: An Agent-Based Model of Water Governance in the Lake Champlain Basin, Vermont. Journal of Public Administration Research and Theory [Internet]. 2020 ;30(4):636 - 655. Available from: https://academic.oup.com/jpart/article/30/4/636/5820199
. 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
. Mixed methods approach to understanding farmer and agricultural advisor perceptions of climate change and adaptation in Vermont, United States. Agroecology and Sustainable Food Systems [Internet]. 2017 ;42(2):121 - 148. Available from: http://www.tandfonline.com/doi/abs/10.1080/21683565.2017.1357667
. Missisquoi Bay circulation dynamics and 3D hydrodynamic modeling of the restricted arm of Lake Champlain; a question of water quality and causeways. Lake Champlain Research Conference [Internet]. 2018 . Available from: http://www.lcbp.org/water-environment/data-monitoring/lake-champlain-research-conference/
. Mining Patterns in Big Data K-H Networks. In: IEEE International Conference on Computer Systems and Applications. IEEE International Conference on Computer Systems and Applications. Doha, Qatar; 2014. Available from: http://www.researchgate.net/publication/265397234_Mining_Patterns_in_Big_Data_K-H_Networks
. Mining Climate Change Awareness on Twitter: A PageRank Network Analysis Method. In: The 15th International Conference on Computational Science and Its Applications (ICCSA 2015). The 15th International Conference on Computational Science and Its Applications (ICCSA 2015). Banff, Canada.; 2015. Available from: http://www.slideshare.net/AhmedAbdeenHamedPhD/hamed-tcalncsiccsa15
. Mining Climate Change Awareness on Twitter: A PageRank Network Analysis Method . Lecture Notes in Computer ScienceComputational Science and Its Applications -- ICCSA 2015 [Internet]. 2015 ;9155:16 - 31. Available from: http://link.springer.com/chapter/10.1007%2F978-3-319-21404-7_2
. Minimizing Urban Floodplain Management Regrets under Deeply Uncertain Climate Change. Journal of Water Resources Planning and Management [Internet]. 2018 ;145(2):04018096. Available from: https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0001012?src=recsys
. Minimization of cost, sediment load, and sensitivity to climate change in a watershed management application. Environmental Modelling & Software [Internet]. 2013 ;50:158 - 168. Available from: http://linkinghub.elsevier.com/retrieve/pii/S1364815213002004
. Minimal East Antarctic Ice Sheet retreat onto land during the past eight million years. Nature [Internet]. 2018 ;558:284 - 287. Available from: https://www.nature.com/articles/s41586-018-0155-6
. Mineral Weathering and Podzolization Control Acid Neutralization and Streamwater Chemistry Gradients in Upland Glaciated Catchments, Northeastern United States. Frontiers in Earth Science [Internet]. 2019 ;7. Available from: https://www.frontiersin.org/articles/10.3389/feart.2019.00063/full