Research Projects

Principal Investigators: 
Allen Burton (CILER), Stephen Brandt (Oregon State University)

The overall objective is to improve our knowledge and understanding of the relationship between water quality (especially hypoxia) and fish production as driven by such concepts as nutrient loading, physical forcing and invasive species.

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Principal Investigators: 
Hongyan Zhang (CILER), Aaron Adamack (CILER), Doran Mason (GLERL), Edward Rutherford (GLERL), Allen Burton (CILER)

The objectives of this research are to: 1) Conduct high-resolution mapping of the NGOMEX pelagic food web (including bacteria, phytoplankton, microzooplankton, mesozooplankton, and fish) in relation to hypoxia; 2) Integrate these ecosystem measurements through a variety of models designed to assess the effects of hypoxia on NGOMEX pelagic food webs and production; 3) Quantify habitat suitability for economically and ecologically important fishes; and 4) Provide tools to forecast food-web interactions, habitat suitability, and fish production in relation to hypoxia.

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Principal Investigators: 
Aaron Adamack (CILER), Doran Mason (GLERL), Craig Stow (GLERL), Allen Burton (CILER)

This project proposes a framework to simultaneously account for direct and indirect effects of hypoxia, including their linear and non-linear interactions on key organisms to support ecosystem-based management in the NGOMEX. A battery of modeling approaches of varying complexity (individual - to ecosystem-level), spatial configuration

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Principal Investigators: 
Jessica Head (CILER), Ed Rutherford (GLERL), Allen Burton (CILER)

The broad goal of this research is to evaluate impacts of hypoxia and mercury on long-term sustainability of fish populations. The hypothesis is that mercury-polluted fish have a reduced ability to respond to hypoxic stress. The study serves the dual purpose of

  1. Increasing our understanding of mechanisms underlying responses to hypoxia and mercury in fish, and
  2. Identifying novel molecular/physiological markers than can be used to forecast early changes to animal health.
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Principal Investigators: 
Juli Dyble Bressie (GLERL), Donna Kashian (CILER), Allen Burton (CILER)

Due to limits in time and resources, the spatial and temporal frequency of water sampling is generally not sufficient to provide timely warnings about the presence of harmful algal blooms (HABs) at drinking water intakes or recreational beaches. Thus, there is a need for a HAB forecasting system that can predict the presence of blooms.

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Principal Investigators: 
Dave Millie (University of South Florida), Dave Schwab (GLERL), Allen Burton (CILER)

The current Great Lakes HAB bulletin depicts existing Microcystis accumulation based on satellite imagery, and relies upon multi-day projections of select physical parameters (e.g. wind velocity/direction and water movement) to predict passive bloom transport. Phytoplankton growth and loss and real-time responses to environmental factors are not incorporated into the bulletin. As a consequence, a more accurate prediction of active bloom initiation is lacking. Objectives of this project include:

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Principal Investigators: 
Joan Rose and Mantha Phanikumar (MSU), Allen Burton (CILER)

This project examines technological solutions associated with decreasing risk, including membrane bioreactors and combined sewer overflow (CSO) abatement. We will utilize microbial source tracking tools and pathogen monitoring for developing the necessary data to incorporate into hydrodynamic and risk assessment models, including ones for Saginaw Bay and the Grand River watersheds.

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Principal Investigators: 
Dmitry Beletsky (CILER), David Schwab (GLERL), Allen Burton (CILER)

This project is part of a research program that focuses on point source loadings of E.coli into coastal environments from particular river outflows, and their impact on beach closures. The objective is to develop a nested grid modeling system for Saginaw Bay based on a three-dimensional hydrodynamic model, which will provide temperature and advection fields for forecasting E.coli and Enterococci concentrations along coastlines.

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Principal Investigators: 
Carlo DeMarchi (Case Western Reserve University), Brent Lofgren (GLERL), Allen Burton (CILER)

The objectives of this study are:

  1. to quantify the uncertainty in the upper Great Lakes net basin supply’s single components and final values;
  2. to test a new method for overlake precipitation estimation; and 3) to recalibrate the GLERL model for lake evaporation with more recent data.
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Principal Investigators: 
Carlo DeMarchi (Case Western Reserve University), Brent Lofgren (GLERL), Allen Burton (CILER)

Objectives of this study include: 1) Add sediment transport and water quality components to the Distributed Large Basin Runoff Model (DLBRM), 2) Improve DLBRM’s hydrology component to better reflect land use influence, and 3) Apply the

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Principal Investigators: 
Dmitry Beletsky (CILER), David Schwab (GLERL), Allen Burton (CILER)

The motivation for this project is to lay the groundwork for studying the roles of physical, chemical, and biological factors on the ecology of Lake Erie at a variety of space and time scales. One main objective is to develop a linked hydrodynamic-ecological model of Lake Erie, including relevant physical parameters (such as tributaries, advection, and resuspension) and lower food web ecology.

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Principal Investigators: 
Dave Schwab (GLERL), Allen Burton (CILER)

As waves move into near shore regions, the subsequent energy gradients cause additional near shore circulation. The wave could interact with the currents and contribute to local water level changes and vertical stratification mixing. The Grand River is the largest tributary entering Lake Michigan.

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Principal Investigators: 
Jia Wang (GLERL), Dmitry Beletsky (CILER), Allen Burton (CILER)

Lake ice cover is an important predictor of regional climate. Heat and moisture exchange between the atmosphere and lake water can differ significantly in magnitude with and without lake ice, leading to striking differences in evaporation in wintertime due to wind mixing. Global and regional climate patterns, such as the Pacific-North America (PNA) pattern may have a marginally significant impact on ice cover in the Great Lakes since these lakes are located between the Alberta High and Southeast-US Low.

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Principal Investigators: 
Jia Wang (GLERL), Dmitry Beletsky (CILER), Allen Burton (CILER)

This study uses the combination of high-resolution Coupled Ice-Ocean Model and Princeton Regional Ocean Forecast (and Hindcast) System’s data-assimilation methodologies to improve our understanding of ocean and sea ice circulation in the Bering-Chukchi-Beaufort seas.

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Principal Investigators: 
Thomas Nalepa (GLERL), Allen Burton (CILER)

Changes in the abundance and composition of benthic populations provide a measure of environmental response to

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Principal Investigators: 
Steven Pothoven (GLERL), Gary Fahnenstiel (GLERL), Allen Burton (CILER)

This project assesses the current status of the primary producer community, pelagic crustacean community, and associated environmental variables in southern Lake Michigan. It also compares this information with historical data gathered since the 1980s. Data from this project will ultimately be used in food-web models to evaluate how non-indigenous invertebrates have altered the lower food-web structure, and to predict production of various components of the food-web of particular interest to resource managers. Some interesting results have surfaced.

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Principal Investigators: 
Thomas H. Johengen (CILER), Greg M. Ruiz (SERC), David F. Reid (GLERL)

This project explores the efficacy of salinity-based treatments of residual organisms (especially low-salinity tolerant organisms) in ballast tanks with no ballast on board (NOBOB). Investigators use detailed analyses of coastwise traffic to guide them in a risk assessment of the potential for transfer of low salinity organisms between the North American Atlantic coast and Great Lakes ecosystems.

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Principal Investigators: 
George Leshkevich (GLERL), David O’Donnell (Upstate Freshwater Institute), Thomas Johengen (CILER), Allen Burton (CILER)

Measuring optical properties of the lakes is important for hydro-optical model development to be used for satellite retrieval of major color producing agents. The purpose of this work is to analyze measurement data collected in 2007 and 2008 on the Great Lakes.

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Principal Investigators: 
George Leshkevich (GLERL), Robert Shuchman (Michigan Tech Research Institute, MTRI), Dmitry Pozdnyakov and Anton Korosov (NANSEN International Environmental and Remote Sensing Centre), Chuck Hatt (MTRI), Thomas Johengen (CILER), Allen Burton (CILER)

Traditional ocean ratioing algorithms for the retrieval of chlorophyll from satellite data do not work well in time or space
for freshwater systems like the Great Lakes. The latest hydro-optical model used in the algorithm for Lake Ontario

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Principal Investigators: 
George Leshkevich (GLERL), Allen Burton (CILER)

The Great Lakes CoastWatch web site (http://coastwatch.glerl.noaa.gov) provides near real-time and retrospective satellite observations, in-situ Great Lakes data, and derived products to federal, state, and local agencies, academic institutions, and the public. Data are used for monitoring algal blooms, ice cover, and water temperatures, to name a few.

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Principal Investigators: 
Thomas Johengen (CILER), Steve Ruberg (GLERL), David J. Schwab (GLERL), Allen Burton (CILER)

The goal of this project is to implement observing system and modeling improvements that focus on priority areas that affect the health, well-being and economic viability of the Great Lakes region. These areas are: 1) climate change impacts; 2) ecosystem and food web dynamics; 3) protection of public health, and 4) navigation safety and efficiency.

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Principal Investigators: 
Thomas Johengen (CILER), Steve Ruberg (GLERL), David J. Schwab (GLERL), Allen Burton (CILER)

Great Lakes sinkholes were formed as groundwater erosion resulted in the collapse of karst features formed up to 400 million years ago in shallow seas. Groundwater erosion continues today and contributes to these unique ecosystems within the Great Lakes. Input of groundwater, whose chemistry is drastically different from ambient lake water, can fuel unique biological reactions depending on the type of light environment.

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Principal Investigators: 
Don Scavia (School of Natural Resources and Environment, University of Michigan)

The overall objective of this program is to create, test, and apply models to forecast how multiple stresses influence hypoxia formation and ecology of Lake Erie’s Central Basin, with an emphasis on fish production potential. These models will integrate the multiple factors that interact to create hypoxia on Lake Erie, such as surface water flow, phosphorus input, lake dynamics, climate variation, fish movement patterns, and fish and Dreissena biology and physiology.

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Principal Investigators: 
Tom Johengen (CILER), Craig Stow (GLERL), Julianne Bressie (GLERL), Gary L. Fahnenstiel (GLERL), Thomas F. Nalepa (GLERL), Steven A. Pothoven (GLERL), Henry A. Vanderploeg (GLERL), Allen Burton (CILER), Donna Kashian (Wayne State University)

Saginaw Bay has a long history of anthropogenic impacts that have compromised many of the ecosystem services that humans value. Current stressors influencing the Bay include excess nutrient inputs, invasive species (dreissenid mussels), and climate change effects (declining water levels). The combined effect of these stressors has resulted in nuisance and harmful algae production and changed the balance of the recreational fishery.

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Principal Investigators: 
Ed Rutherford (GLERL), Allen Burton (CILER)

An IEA is a comprehensive account of an ecosystem’s condition, stressors, and drivers, and the potential for change in response to management options. A Geographic Information System (GIS) database for Great Lakes aquatic habitats will facilitate development of IEAs and aid managers to assess threats to coastal resources and understand ecosystem structure and function.

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Principal Investigators: 
Stephen Lozano (GLERL), Allen Burton (CILER)

This project emphasizes obtaining current population data for Diporeia (a benthic amphipod) and Dreissena. Diporeia was formerly the most abundant species in offshore waters of Lake Ontario, and served as a major pathway by which energy was cycled from the lower to the upper food web. However, populations have dramatically declined over the past 10-15 years, and large areas are now completely devoid of this organism.

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Principal Investigators: 
Dave Reid (GLERL), Rochelle Sturtevant (MI Sea Grant)

Among the goals of GLANSIS are to 1) provide a comprehensive database source of authoritative up-to-date Great Lakes Aquatic Nonindigenous Species (ANS) information, and 2) compile and update information relevant to the species in the database.

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