This $281,104 Project Grant award from the National Science Foundation (CFDA 47.074 - Biological Sciences) to Virginia Polytechnic Institute & State University (Virginia Tech) will support a Long-Term Research in Environmental Biology (LTREB) project to quantify ecosystem predictability across daily to decadal timescales.
The project will establish a real-time monitoring and data-sharing program at two drinking water supply reservoirs, collecting data on water temperature, clarity,...
This $500,000 Project Grant award, funded by the National Science Foundation's Geosciences Program (CFDA 47.050), will support the development of a real-time forecasting system to predict drinking water quality in three Appalachian reservoirs. The project, led by Virginia Polytechnic Institute & State University (Virginia Tech), will couple terrestrial and freshwater models to predict how environmental hazards like droughts, wildfires, and floods impact reservoir water quality. This...
This $567,340 Project Grant from the National Science Foundation Division of Environmental Biology under the Biological Sciences federal grant program (CFDA 47.074) will fund research at Virginia Polytechnic Institute and State University to advance understanding of lake water quality dynamics across spatial scales using knowledge-guided machine learning. The research aims to develop Ecology-knowledge guided Machine Learning (Eco-KGML) models to improve predictions of water clarity,...
This National Science Foundation (NSF) Project Grant award, funded through the Geosciences program (CFDA 47.050), will support research and educational initiatives to advance the understanding of dynamic landscape connectivity and its impact on water resource management. The $371,679 award to Virginia Polytechnic Institute & State University (Virginia Tech) will leverage high-frequency aquatic sensors and deep learning models to quantify how landscape attributes dynamically influence...
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 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...
This federal Project Grant award from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) will provide $752,886 to Virginia Polytechnic Institute & State University, doing business as Virginia Tech, to conduct research on the "plastisphere" of pond ecosystems. The project aims to understand the function and fate of novel carbon from plastic waste in biogeochemical hotspots, as plastics represent an important form of carbon that travels through...
This $293,843 project grant from the National Science Foundation Office of Integrative Activities, under the Integrative Activities program (CFDA 47.083), will fund research to test applying common pool resource theory and Ostrom's social-ecological systems framework to address inland freshwater salinization. Virginia Polytechnic Institute and State University will lead a collaborative effort to study sources of salt accumulation in the Occoquan Reservoir, which provides drinking water to...
The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Virginia. The grant supports the development of new physics-guided graph network models to capture complex, non-stationary, and poorly observed water dynamics in freshwater ecosystems. Key innovations include new graph-based architectures, continual learning strategies, and model initialization methods that leverage...
This five-year, $554,014 National Science Foundation project grant supports research into phytoplankton communities and ecosystem function in freshwater lakes. Funded through NSF's Biological Sciences program (CFDA 47.074), the goal is to describe a disturbance phenology framework to predict feedbacks and threshold shifts for lake ecosystem function across spatial and temporal scales.
The University of Vermont will conduct experiments in laboratories, outdoor mesocosms, and five lakes across...
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, which threaten drinking water safety and quality. The project will integrate ecosystem and statistical modeling with new computing capacity to provide 1-35 day-ahead forecasts of phytoplankton blooms to water managers for several U.S. lakes. The project will also develop teaching modules on forecasting and freshwater ecosystems for high school and community college students, supporting improved water quality management and water worker training in Central Appalachia. This grant is funded under the NSF Biological Sciences (CFDA 47.074) program, which supports basic research to advance scientific understanding and address national priorities.