Vermont EPSCoR Publications and Products
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Modeling Zoonotic Disease Regulation under Climate Change Scenarios in Semi-Arid Grasslands: a scoping model of water provisioning services in the Ruaha Landscape of Tanzania. Adapting Livestock to Climate Change Collaborative Research Support Program, Research Brief [Internet]. 2012 [cited 0BC];RB-08-2012. Available from: http://lcccrsp.org/wp-content/uploads/2012/05/RB_08_2012.pdf
. Multilevel and kin selection in a connected world. Nature [Internet]. 2010 [cited 0BC];463(7283):E8 - E9. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3151728/pdf/nihms306839.pdf
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
. Mapping biofuel field: A bibliometric evaluation of research output. Renewable and Sustainable Energy Reviews. 2013 [cited 0BC];28:82 - 91.
. Modeling maximum lipid productivity of microalgae: Review and next step. Renewable and Sustainable Energy Reviews. 2014 [cited 0BC];32:29 - 39.
. 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
. Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment. Journal of Visualized Experiments [Internet]. 2019 ;(149). Available from: https://www.jove.com/video/60072/measuring-phosphorus-release-laboratory-microcosms-for-water-quality
. Mainstreaming Early Warning Systems in Development and Planning Processes: Multilevel Implementation of Sendai Framework in Indus and Sahel. International Journal of Disaster Risk Science [Internet]. 2015 . Available from: http://link.springer.com/10.1007/s13753-015-0048-3http://link.springer.com/content/pdf/10.1007/s13753-015-0048-3
. Multi-Scale Modeling of Land-Use Land Cover Change (LULCC) in Social Ecological Systems: An Agent Based Model of Missisquoi Watershed in the Lake Champlain Basin, 2000‐2100. In: 2016 Nairobi Conference on Earth System Governance. 2016 Nairobi Conference on Earth System Governance. Nairobi, Kenya: Earth System Governance; 2016. Available from: http://earthsystemgovernance.net/nairobi2016/wp-content/uploads/2016/11/2016-Nairobi-Conference_Panels_20161130.pdf
. 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
. Modeling Voting Decisions in Governance Networks for Agents with Heterogeneous Mental Models and Alternate Network Structures. In: 2017 International Conference of The Computational Social Science Society of the Americas (CSS 2017). 2017 International Conference of The Computational Social Science Society of the Americas (CSS 2017). Santa Fe, NM: Computational Social Science Society of the Americas (CSS); 2017. Available from: https://dl.acm.org/citation.cfm?doid=3145574.3145592
. Machine learning how human risk perceptions shape behavior: Comparing a diversity of learning approaches to predict how climate risk perceptions lead to green behaviors for the US Population. In: 4th Annual BayesiaLab Conference. 4th Annual BayesiaLab Conference. Nashville, TN; 2016. Available from: http://www.bayesia.com/2016-conference-zia
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