Opportunity Information: Apply for G23AS00223
This opportunity (Funding Opportunity Number G23AS00223) is a U.S. Geological Survey (USGS) cooperative agreement aimed specifically at partners within the Great Lakes Northern Forests Cooperative Ecosystem Studies Unit (CESU). The project is focused on providing computer-based ecosystem modeling to support nutrient adaptive management in Lake Erie, with the work intended to run for up to one year. In practical terms, the grant is meant to strengthen the scientific and technical backbone behind Lake Erie nutrient management decisions by improving the way agencies and partners evaluate how the lake responds to nutrient reductions and other ongoing stressors.
The work will directly support the Lake Erie Data and Modeling Working Group, which operates under the Adaptive Management Task Team tied to the Great Lakes Water Quality Agreement (GLWQA) Nutrient Annex. The Nutrient Annex is the binational framework that guides efforts to reduce nutrient loading and harmful algal blooms, and the modeling work funded here is intended to feed into that adaptive management process. USGS notes that this CESU-funded effort is designed to complement its ongoing Great Lakes research, particularly work examining how nutrients interact with invasive species and other pressures affecting ecosystem health. Alongside generating modeling results, the project also positions USGS to provide scientific leadership within the broader adaptive management team by ensuring modeling approaches and outputs are credible, comparable, and useful for decision-making.
A central expectation is close collaboration between the CESU partner and USGS through the Lake Erie Data and Modeling Working Group. Rather than simply running a single model, the project emphasizes coordinated model selection and comparison. Key tasks include selecting an appropriate set of ecosystem models, identifying what data are required to run those models well, and then acquiring, harmonizing, and synthesizing the necessary datasets so that the modeling is consistent and defensible. The team is also expected to define modeling scenarios (for example, different nutrient reduction strategies or combinations of nutrient changes with other stressors) and compare modeled outputs across models as well as against observed, in-lake outcomes. This reflects a common adaptive management need: understanding not only what one model predicts, but how different modeling approaches align or diverge, and how well they reproduce real-world conditions.
In addition to the collaborative planning and data work, the CESU partner is expected to contribute hands-on technical modeling capacity using their in-house ecosystem model or models. That includes calibrating and validating the chosen model(s) and running test simulations for the agreed-upon scenarios. Calibration and validation are explicitly important here because the end users are relying on these tools to inform management decisions; the grant is not just supporting exploratory analysis, but work intended to improve predictive capability and confidence in scenario results. Ultimately, the deliverable value is improved ability to anticipate Lake Erie ecosystem responses to nutrient management actions while accounting for concurrent stressors, thereby strengthening the adaptive management cycle of planning, implementing actions, monitoring outcomes, and updating strategies based on evidence.
Administratively, this is a discretionary financial assistance award using a cooperative agreement mechanism, which typically indicates substantial involvement and collaboration with the federal agency during the project period (as opposed to a more hands-off grant). The activity falls under Science and Technology and other Research and Development, with CFDA number 15.808. Eligibility is limited to entities that are already participating partners in the Great Lakes Northern Forests CESU, so it is not open to the general public or organizations outside that partnership network. The opportunity lists an award ceiling of $52,960, was created on 2023-02-02, and had an original closing date of 2023-03-02.Apply for G23AS00223
- The Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Agreement for CESU-affiliated Partner with Great Lakes Northern Forests Cooperative Ecosystem Studies Unit" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.808.
- This funding opportunity was created on 2023-02-02.
- Applicants must submit their applications by 2023-03-02. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $52,960.00 in funding.
- Eligible applicants include: Others.
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Frequently Asked Questions (FAQs)
What is this funding opportunity?
This is a U.S. Geological Survey (USGS) cooperative agreement (Funding Opportunity Number G23AS00223) to support computer-based ecosystem modeling for nutrient adaptive management in Lake Erie.
Who is this opportunity intended for?
Eligibility is limited to organizations that are participating partners in the Great Lakes Northern Forests Cooperative Ecosystem Studies Unit (CESU). It is not open to the general public or entities outside that CESU partnership network.
What is the project trying to accomplish?
The project is intended to strengthen the scientific and technical basis for Lake Erie nutrient management decisions. It focuses on improving how agencies and partners evaluate Lake Erie ecosystem responses to nutrient reductions and other ongoing stressors, supporting more credible and useful scenario-based decision-making.
How does this work connect to Lake Erie nutrient management efforts?
The work directly supports the Lake Erie Data and Modeling Working Group, which operates under the Adaptive Management Task Team tied to the Great Lakes Water Quality Agreement (GLWQA) Nutrient Annex. The modeling is meant to feed into the Nutrient Annex adaptive management process focused on reducing nutrient loading and harmful algal blooms.
What is the role of the Lake Erie Data and Modeling Working Group?
The Working Group is the primary collaboration venue for this project. The CESU partner and USGS are expected to work closely through the group on model selection and comparison, data needs and harmonization, scenario development, and interpretation of results for adaptive management uses.
What kinds of activities and tasks are expected under this award?
Key tasks described for this opportunity include: selecting an appropriate set of ecosystem models; identifying the data required to run those models well; acquiring, harmonizing, and synthesizing datasets so modeling is consistent and defensible; defining modeling scenarios (such as different nutrient reduction strategies and combinations of nutrient changes with other stressors); comparing outputs across models; and comparing model outputs against observed, in-lake outcomes.
Is the project focused on running just one model?
No. A central expectation is coordinated model selection and comparison, including comparing outputs across models and against observed conditions in Lake Erie. The aim is to understand where models align or diverge and how well they reproduce real-world outcomes.
What is meant by "computer-based ecosystem modeling" in this opportunity?
It refers to using ecosystem models to simulate Lake Erie responses under defined scenarios, particularly scenarios related to nutrient reductions and other stressors. The intent is to improve predictive capability and confidence in scenario results used in adaptive management.
What are "modeling scenarios" in the context of this project?
Scenarios are defined sets of conditions the models will simulate. The opportunity describes examples such as different nutrient reduction strategies or combinations of nutrient changes with other stressors, so decision-makers can compare potential ecosystem responses across alternatives.
What is the expectation around data for the modeling work?
The project emphasizes identifying required data and then acquiring, harmonizing, and synthesizing the datasets needed so the modeling work is consistent, comparable, and defensible across the chosen models.
What is required from the CESU partner in terms of technical modeling capacity?
The CESU partner is expected to contribute hands-on modeling capacity using their in-house ecosystem model or models. This includes calibrating and validating the selected model(s) and running test simulations for the agreed-upon scenarios.
Why are calibration and validation specifically important here?
Calibration and validation are emphasized because the modeling outputs are intended to inform management decisions. The award supports work aimed at improving predictive capability and confidence in scenario results, not just exploratory analysis.
How will results be evaluated or checked against reality?
The opportunity indicates that modeled outputs should be compared against observed, in-lake outcomes, in addition to comparisons across models. This supports the adaptive management need to understand how well models reproduce real conditions.
How does this effort relate to other USGS Great Lakes research?
USGS describes this CESU-funded effort as complementing its ongoing Great Lakes research, including work examining how nutrients interact with invasive species and other pressures affecting ecosystem health.
What is the intended value or outcome of the project?
The intended outcome is an improved ability to anticipate Lake Erie ecosystem responses to nutrient management actions while accounting for concurrent stressors. This is meant to strengthen the adaptive management cycle of planning actions, implementing them, monitoring outcomes, and updating strategies based on evidence.
What type of award mechanism is being used?
This is a discretionary financial assistance award using a cooperative agreement mechanism, which generally indicates substantial involvement and collaboration with the federal agency (USGS) during the project period.
What does "cooperative agreement" imply for how the work will be conducted?
Based on the description provided, it implies close collaboration and substantial involvement from USGS during the project period, rather than a more hands-off relationship.
What is the program area or assistance listing for this opportunity?
The activity falls under Science and Technology and other Research and Development, with CFDA number 15.808.
How long is the project expected to run?
The work is intended to run for up to one year.
What is the maximum award amount?
The opportunity lists an award ceiling of $52,960.
When was the opportunity posted and when did it close?
The opportunity was created on 2023-02-02 and had an original closing date of 2023-03-02.
Is this opportunity open to organizations that are not part of the Great Lakes Northern Forests CESU?
No. The eligibility statement limits applicants to entities that are already participating partners in the Great Lakes Northern Forests CESU.
What is the connection to the Great Lakes Water Quality Agreement (GLWQA) Nutrient Annex?
The modeling work is intended to support the adaptive management process associated with the GLWQA Nutrient Annex, which is described as the binational framework guiding efforts to reduce nutrient loading and harmful algal blooms.
What is the overall emphasis of the modeling approach described?
The emphasis is on coordinated model selection, defensible and harmonized data preparation, scenario-based simulations, cross-model comparison, and comparison to observed outcomes, with the goal of producing credible and decision-relevant outputs for nutrient adaptive management in Lake Erie.
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