What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Ecosystem
Donald Scavia mainly investigates Ecology, Hypoxia, Oceanography, Hydrology and Phytoplankton.
His work in the fields of Zooplankton, Predation, Phytoplankton primary production and Total organic carbon overlaps with other areas such as Primary.
His Oceanography study combines topics from a wide range of disciplines, such as Drainage basin, Coastal plain and Bacterioplankton.
His Hydrology study incorporates themes from Climate change, Algal bloom and Nutrient.
The study incorporates disciplines such as Cyanobacteria, Epilimnion, Ecosystem and Plankton in addition to Phytoplankton.
The Fishery study combines topics in areas such as Action plan, Eutrophication and Environmental protection.
His most cited work include:
- Record-setting algal bloom in Lake Erie caused by agricultural and meteorological trends consistent with expected future conditions (773 citations)
- Climate Change Impacts on U.S. Coastal and Marine Ecosystems (582 citations)
- Beyond Science into Policy: Gulf of Mexico Hypoxia and the Mississippi River (536 citations)
What are the main themes of his work throughout his whole career to date?
Donald Scavia focuses on Hypoxia, Ecology, Hydrology, Nutrient and Oceanography.
His research on Ecology frequently links to adjacent areas such as Environmental chemistry.
Donald Scavia combines subjects such as Total phosphorus, Climate change and Eutrophication with his study of Hydrology.
His studies deal with areas such as Estuary and Water column as well as Eutrophication.
The concepts of his Phytoplankton study are interwoven with issues in Epilimnion and Plankton.
His biological study spans a wide range of topics, including Bloom and Environmental monitoring.
He most often published in these fields:
- Hypoxia (23.79%)
- Ecology (21.84%)
- Hydrology (19.90%)
What were the highlights of his more recent work (between 2012-2021)?
- Hypoxia (23.79%)
- Hydrology (19.90%)
- Nutrient (17.48%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Hypoxia, Hydrology, Nutrient, Algal bloom and Environmental resource management.
Along with Hypoxia, other disciplines of study including Eutrophication, Oceanography, Hypolimnion, Ecology and Stratification are integrated into his research.
His study in Hydrology is interdisciplinary in nature, drawing from both Total phosphorus and Climate change.
His studies in Algal bloom integrate themes in fields like Cover crop, Bloom and Environmental monitoring.
The various areas that Donald Scavia examines in his Bloom study include Phytoplankton, Bayesian hierarchical modeling and Water column.
Donald Scavia interconnects Drainage basin, Ensemble forecasting, Soil and Water Assessment Tool and Ecosystem in the investigation of issues within Water quality.
Between 2012 and 2021, his most popular works were:
- Record-setting algal bloom in Lake Erie caused by agricultural and meteorological trends consistent with expected future conditions (773 citations)
- Assessing and addressing the re-eutrophication of Lake Erie: Central basin hypoxia (311 citations)
- Using a Bayesian hierarchical model to improve Lake Erie cyanobacteria bloom forecasts (99 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Ecosystem
His main research concerns Hypoxia, Hydrology, Water quality, Algal bloom and Nutrient.
His studies examine the connections between Hydrology and genetics, as well as such issues in Eutrophication, with regards to Phytoplankton biomass.
His Water quality study integrates concerns from other disciplines, such as Drainage basin, Climate change, Environmental resource management and Cladophora.
His research integrates issues of Bloom, Water resource management, Agriculture, Environmental monitoring and Soil and Water Assessment Tool in his study of Algal bloom.
His research in Nutrient intersects with topics in Water pollution, Ecosystem model and Spatial variability.
His work on Chesapeake bay is typically connected to Dynamic models as part of general Oceanography study, connecting several disciplines of science.
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