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 trainee| Emily 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) |
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Publications
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| 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 |