Vermont EPSCoR Publications and Products


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Author Title [ Type(Asc)] Year
Journal Article
Betts AK, Chan DZ, Desjardins R. Near-surface biases in ERA5 over the Canadian Prairies. Frontiers in Environmental Science [Internet]. 2019 ;7. Available from: https://www.frontiersin.org/articles/10.3389/fenvs.2019.00129/full
Guerry AD, Polasky S, Lubchenco J, Chaplin-Kramer R, Daily GC, Griffin R, Ruckelshaus M, Bateman IJ, Duraiappah A, Elmqvist T, et al. Natural capital and ecosystem services informing decisions: From promise to practice. Proceedings of the National Academy of Sciences [Internet]. 2015 ;112(24):7348 - 7355. Available from: http://www.pnas.org/lookup/doi/10.1073/pnas.1503751112
Javed A, Hamshaw SD, Lee BSuk, Rizzo DM. Multivariate event time series analysis using hydrological and suspended sediment data. Journal of Hydrology [Internet]. 2021 ;593:125802. Available from: https://www.sciencedirect.com/science/article/pii/S0022169420312634
Tsai Y-S. The Multivariate Climatic and Anthropogenic Elasticity of Streamflow in the Eastern United States. Journal of Hydrology: Regional Studies [Internet]. 2016 ;9:199-215. Available from: http://www.sciencedirect.com/science/article/pii/S2214581816303317
Pechenick AM, Rizzo DM, Morrissey LA, Garvey KM, Underwood KL, Wemple B. A multi-scale statistical approach to assess the effects of connectivity of road and stream networks on geomorphic channel condition. Earth Surface Processes and Landforms [Internet]. 2014 ;39(11):1538 - 1549. Available from: http://onlinelibrary.wiley.com/doi/10.1002/esp.3611/epdf
Oka GK, Pinder GF. Multiscale Model for Assessing the Effect of Bacterial Growth on Intrinsic Permeability of Soil: Column Experiment Simulation. Transport in Porous Media [Internet]. 2017 ;119(2):285 - 309. Available from: https://link.springer.com/article/10.1007/s11242-017-0869-1
Oka GK, Pinder GF. Multiscale Model for Assessing Effect of Bacterial Growth on Intrinsic Permeability of Soil: Model Description. Transport in Porous Media [Internet]. 2017 ;119(2):267 - 284. Available from: https://link.springer.com/article/10.1007/s11242-017-0870-8
Wade MJ, Wilson DS, Goodnight CJ, Taylor D, Bar-Yam Y, de Aguiar MAM, Stacey B, Werfel J, Hoelzer GA, Brodie III ED, et al. 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
Fisher B, Balmford A, Ferraro PJ, Glew L, Mascia M, Naidoo R, Ricketts TH. Moving Rio Forward and Avoiding 10 More Years with Little Evidence for Effective Conservation Policy. Conservation Biology [Internet]. 2014 ;28(3):880 - 882. Available from: http://onlinelibrary.wiley.com/doi/10.1111/cobi.12221/full
Cording A, Hurley S, Whitney D. Monitoring Methods and Designs for Evaluating Bioretention Performance. Journal of Environmental Engineering [Internet]. 2017 ;143(12):05017006. Available from: http://ascelibrary.org/doi/10.1061/%28ASCE%29EE.1943-7870.0001276
Voigt B, Gustafson C, Erickson JD. 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
Koh I, Lonsdorf EV, Williams NM, Brittain C, Isaacs R, Gibbs J, Ricketts TH. Modeling the status, trends, and impacts of wild bee abundance in the United States. Proceedings of the National Academy of Sciences [Internet]. 2015 :201517685. Available from: http://www.pnas.org/lookup/doi/10.1073/pnas.1517685113
Hecht JS, Zia A, Clemins PJ, Schroth AW, Winter JM, Oikonomou PD, Rizzo DM. Modeling the sensitivity of cyanobacteria blooms to plausible changes in precipitation and air temperature variability. Science of The Total Environment [Internet]. 2021 ;812:151586. Available from: https://www.sciencedirect.com/science/article/pii/S004896972106664X
Winter JM, Partridge TF, Wallace D, Chipman JW, Ayres MP, Osterberg EC, Dekker ER. 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
Bomblies A. 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
Ren Q, Zia A, Rizzo DM, Mathews N. 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
Stryker J, Wemple B, Bomblies A. 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
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
Stryker J, Wemple B, Bomblies A. 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
Xu Y, Boeing WJ. Modeling maximum lipid productivity of microalgae: Review and next step. Renewable and Sustainable Energy Reviews. 2014 [cited 0BC];32:29 - 39.
Bitterman P, Koliba C. 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
Giles CD, Isles PDF, Manley T, Xu Y, Druschel GK, Schroth AW. 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
Schattman RE, V Mendez E, Merrill S, Zia A. 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
Hamed AA, Zia A. Mining Climate Change Awareness on Twitter: A PageRank Network Analysis Method Gervasi O, Murgante B, Misra S, Gavrilova ML, Alves Coutinho Rocha AM, Torre C, Taniar D, Apduhan BO. 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
Hecht JS, Kirshen PH. 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

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