The National Science Foundation (NSF) Division of Environmental Biology awarded a $399,132 project grant to the University of Virginia for a three-year collaborative research project titled "Whole Ecosystem Test of Restoring Resilience in Lakes". The goal of the project is to experimentally test methods for enhancing the resilience of lake ecosystems to algal blooms, which threaten drinking water, reduce tourism, and harm wildlife. The researchers will measure and evaluate the...
This five-year, $1.58 million Project Grant from the National Science Foundation's Biological Sciences program (CFDA 47.074) supports research by the University of Wisconsin Oshkosh to study the social and environmental drivers of toxic algal blooms in freshwater systems. The university will examine historical, socio-cultural, policy, and ecological factors contributing to algal blooms through partnerships with community organizations. Researchers will develop a predictive model to forecast...
This Project Grant award from the National Science Foundation's Geosciences program (CFDA 47.050) for $111,215 will support research by the Regents of the University of Michigan to study cyanobacteria, nitrogen cycling, and export production in the Laurentian Great Lakes. The key objectives are to: 1) determine the relative contributions of cyanobacteria versus eukaryotic algae to primary production, 2) evaluate export production of cyanobacterial productivity, and 3) constrain historical...
This National Science Foundation (NSF) Geosciences program Project Grant award of $518,578 to Michigan State University (MSU), with a period of performance from March 1, 2024 to February 28, 2027, will investigate the Holocene biogeochemical evolution of the Great Lakes system. The project will collect sediment cores from Lakes Superior, Huron, and Erie to analyze geochemical proxies, including mercury isotopes, nutrient concentrations, and redox-sensitive elements. This research aims to...
This $525,899 National Science Foundation project grant supports the development of Ecology-Knowledge Guided Machine Learning (Eco-KGML) models to advance understanding of lake water quality dynamics across spatial and temporal scales in the United States. Funded under the Biological Sciences program (CFDA 47.074), the University of Wisconsin-Madison will utilize hybrid process-based and machine learning techniques to predict and analyze metrics such as water clarity, phytoplankton biomass,...
This Project Grant award from the National Science Foundation's (NSF) Geosciences program totaling $429,823 supports a collaborative research effort to investigate the Holocene biogeochemical evolution of the Great Lakes. The research team from Central Michigan University and Michigan State University will collect sediment cores from Lakes Superior, Huron, and Erie to analyze elemental and isotopic geochemical cycles over geologic time. This work will provide insights into past productivity,...
The National Science Foundation (NSF) Division of Emerging Frontiers awarded a $2,076,344 Project Grant to Virginia Polytechnic Institute & State University, doing business as Virginia Tech, for the "Collaborative Research: UROL:ASC: Applying Rules of Life to Forecast Emergent Behavior of Phytoplankton and Advance Water Quality Management" project. This project aims to develop an automated, real-time forecasting system to predict phytoplankton blooms in lakes and reservoirs,...
This Project Grant award from the National Science Foundation's Biological Sciences (CFDA 47.074) Federal Grant Program provides $153,529 to Miami University to conduct research on the impacts of increased dissolved organic matter on water quality and trophic status in oligotrophic lakes. The project aims to understand potential "regime shifts" and tipping points driven by lake deoxygenation and associated feedbacks over a period from January 2025 to December 2029. Key activities...
This National Science Foundation (NSF) Project Grant award for $425,311 to the Carnegie Institution for Science supports collaborative research on how winter conditions affect the ecological function of seasonally-frozen lakes. The multi-year project (11/1/2023 - 10/31/2027) will develop a comprehensive, predictive model of year-round lake ecosystem dynamics by: Conducting detailed seasonal studies of water quality, plankton populations, food webs, and organic matter cycling in 12 lakes with...
This Project Grant award of $300,000 from the National Science Foundation (NSF) Geosciences Program (CFDA 47.050) supports research to investigate the potential for wind-blown dust and aerosols containing harmful algal bloom toxins to negatively impact public health in coastal areas around Lake Erie in Ohio. The interdisciplinary research team, led by the University of Toledo, will use specialized soil sensors, air samplers, and toxin analysis to determine if changes in soil characteristics...
This National Science Foundation (NSF) Biological Sciences (CFDA 47.074) Project Grant in the amount of $300,000 was awarded to Michigan State University to investigate the complex interactions between human disturbances and natural features that impact U.S. lake ecosystems and harmful algal blooms. The key products and services to be delivered through this 2-year award include:
Developing machine learning models to quantify the relationships between multiple human disturbances and their impacts on algal blooms, microcystin toxin levels, and other environmental conditions for 13,123 lakes across the U.S.
Building a structural equation model to assess the linkages between phytoplankton and zooplankton communities in 2,332 lakes, and then predicting zooplankton communities for all U.S. lakes.
Forecasting microcystin concentrations, hypereutrophy, and zooplankton communities under different climate change scenarios for approximately 120,000 lakes.
This research will create an integrated, open-access dataset on harmful algal blooms, natural settings, climate, and zooplankton for hundreds of thousands of U.S. lakes to support further research, management, and decision-making by government, academic, and public stakeholders.