Donald Scavia
Affiliations: | University of Michigan, Ann Arbor, Ann Arbor, MI |
Area:
Natural Resource Management, Climate Change, Public and Social Welfare, Water Resource Management, Environmental ManagementGoogle:
"Donald Scavia"Children
Sign in to add traineeEmily Lindsay Allen Kelly | grad student | 2004-2006 | University of Michigan (Marine Ecology Tree) |
Margaret M. Kalcic | post-doc | University of Michigan (E-Tree) | |
Rebecca Logsdon Muenich | post-doc | 2015-2017 | University of Michigan (E-Tree) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Scavia D, Wang YC, Obenour DR. (2022) Advancing freshwater ecological forecasts: Harmful algal blooms in Lake Erie. The Science of the Total Environment. 856: 158959 |
Scavia D, Calappi TJ, Godwin CM, et al. (2022) Wind-Driven Sediment Resuspension in the World's Fourth Largest Lake Contributes Substantial Phosphorus Load to the 11th Largest Lake. Environmental Science & Technology |
Scavia D, Bertani I, Testa JM, et al. (2021) Advancing estuarine ecological forecasts: seasonal hypoxia in Chesapeake Bay. Ecological Applications : a Publication of the Ecological Society of America. e2384 |
Apostel A, Kalcic M, Dagnew A, et al. (2020) Simulating internal watershed processes using multiple SWAT models. The Science of the Total Environment. 143920 |
Martin JF, Kalcic MM, Aloysius N, et al. (2020) Evaluating management options to reduce Lake Erie algal blooms using an ensemble of watershed models. Journal of Environmental Management. 111710 |
Scavia D, Wang YC, Obenour DR, et al. (2020) Quantifying uncertainty cascading from climate, watershed, and lake models in harmful algal bloom predictions. The Science of the Total Environment. 143487 |
Evenson GR, Kalcic M, Wang YC, et al. (2020) Uncertainty in critical source area predictions from watershed-scale hydrologic models. Journal of Environmental Management. 111506 |
Miralha L, Muenich RL, Scavia D, et al. (2020) Bias correction of climate model outputs influences watershed model nutrient load predictions. The Science of the Total Environment. 143039 |
Del Giudice D, Fang S, Scavia D, et al. (2020) Elucidating controls on cyanobacteria bloom timing and intensity via Bayesian mechanistic modeling. The Science of the Total Environment. 755: 142487 |
Kujawa H, Kalcic M, Martin J, et al. (2020) The hydrologic model as a source of nutrient loading uncertainty in a future climate. The Science of the Total Environment. 724: 138004 |