Opportunity Information: Apply for G14AS00031
Apply for G14AS00031
- The Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Ecosystem Studies Unit, Southern Appalachian Mountians CESU" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.808 U.S. Geological Survey Research and Data Collection.
- This funding opportunity was created on Feb 3, 2014 and posted on Feb 3, 2014.
- Applicants must submit their applications by Feb 14, 2014. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $50,000.00 to eligible and selected applicants.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
- This financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Unit (CESU) Program. CESUs are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Southern Appalachian Mountains Cooperative Ecosystem Studies Unit (CESU) Program.
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Opportunity Summary:
This grant opportunity (Funding Opportunity Number G14AS00031) was issued by the U.S. Geological Survey (USGS), specifically through the Fort Collins Science Center, under the Cooperative Ecosystem Studies Unit (CESU) framework for the Southern Appalachian Mountains CESU. It is a discretionary science and technology research award made as a cooperative agreement, meaning the project is expected to involve substantial collaboration with USGS rather than operating as a hands-off grant. The program is rooted in the CESU model, which is designed to connect federal agencies with partner institutions to deliver research, technical assistance, and education that supports resource management and applied science needs.
The purpose of the project is to study how tree species and forest types across the United States respond to nitrogen (N) deposition, with particular attention to the downstream consequences for biodiversity, climate impacts, and carbon (C) sequestration. In practical terms, the work focuses on linking atmospheric nitrogen inputs to changes in soil chemistry and then to measurable plant responses, such as growth and survival. The underlying management and scientific value is to clarify when and where nitrogen deposition shifts from being a nutrient input to becoming a stressor that can damage forest health, alter species composition, and affect ecosystem services like carbon storage.
The core work plan centers on assembling, evaluating, and synthesizing multiple datasets into a spatially representative assessment of relationships between plant-available soil chemistry and plant response. The opportunity calls for compiling field plot data from across the United States and Canada, with an emphasis on three main categories of measurements: soil solution chemistry, soil exchange chemistry, and observed plant responses. By bringing these data streams together, the research aims to test whether there are identifiable thresholds in soil or deposition metrics that correspond to detrimental physiological responses in plants. Those thresholds would be especially useful for risk assessment and for setting or refining critical loads and related environmental benchmarks.
A major deliverable is the creation of a database that consolidates the assembled records into a usable, well-organized resource. After this database is developed, the project then scales up from plot-level observations to a continental U.S. analysis using Forest Inventory and Analysis (FIA) data. FIA is the primary nationwide forest monitoring program in the U.S., and integrating the compiled soil and plant-response data with FIA allows the analysis to move beyond individual study sites and toward broad inference across forest regions, species assemblages, and environmental gradients.
Methodologically, the announcement highlights the use of hierarchical Bayesian analyses. This indicates an expectation of advanced statistical modeling capable of handling multi-level structure in the data (for example, trees nested within plots, plots within regions, and species responding differently under varying conditions). The modeling approach is intended to evaluate tree growth and survival as a function of nitrogen deposition while accounting for key modifiers such as species identity, tree growth stage, soil type, and climate. In other words, the work is not simply correlational at one scale; it is meant to disentangle how deposition interacts with biological traits and environmental context to shape forest outcomes.
From an administrative standpoint, the opportunity anticipated a single award with an estimated total funding amount of $50,000 and no cost-sharing requirement. The award ceiling and floor were listed as $0, which typically signals that the agency is not committing to a strict per-award cap or minimum in the posting itself, even though the expected total program amount is stated. The posting date and creation date were February 3, 2014, with a closing date of February 14, 2014, and the opportunity was archived on May 3, 2014. The CFDA program associated with the funding is 15.808 (U.S. Geological Survey Research and Data Collection).
Eligibility is limited to organizations that are already participating partners in the Southern Appalachian Mountains CESU Program. That restriction is central to the opportunity: even though the research scope is national in scale, the assistance mechanism is being issued through a specific CESU network, and applicants must be within that partnership to be eligible. For access to the full announcement details, the listing points to Grants.gov, and the contact provided for announcement access issues is Faith Graves (703-648-7356, fgraves@usgs.gov).
Frequently Asked Questions (FAQs)
What is the Funding Opportunity Number for this grant?
The Funding Opportunity Number is G14AS00031.
Which federal agency is offering this opportunity?
This opportunity was issued by the U.S. Geological Survey (USGS), through the Fort Collins Science Center.
What funding mechanism is being used (grant vs. cooperative agreement)?
The award is made as a cooperative agreement. That means USGS expects substantial collaboration with the recipient during the project, rather than a hands-off arrangement.
How does the CESU framework relate to this opportunity?
The award is issued under the Cooperative Ecosystem Studies Unit (CESU) framework, specifically through the Southern Appalachian Mountains CESU. The CESU model is designed to link federal agencies with partner institutions to deliver research, technical assistance, and education supporting resource management and applied science needs.
What is the main purpose of the project?
The project studies how tree species and forest types across the United States respond to nitrogen (N) deposition, including downstream consequences for biodiversity, climate impacts, and carbon (C) sequestration.
What scientific question is the project trying to answer?
The work aims to clarify when and where nitrogen deposition shifts from being a beneficial nutrient input to becoming a stressor that can harm forest health, alter species composition, and affect ecosystem services such as carbon storage.
What is the practical approach described in the work plan?
The core work plan focuses on assembling, evaluating, and synthesizing multiple datasets into a spatially representative assessment linking plant-available soil chemistry to plant responses such as growth and survival.
What types of data does the opportunity call for compiling?
The opportunity emphasizes compiling field plot data from across the United States and Canada, focusing on three measurement categories:
- Soil solution chemistry
- Soil exchange chemistry
- Observed plant responses (for example, growth and survival)
What is meant by linking nitrogen deposition to soil chemistry and plant responses?
The project is intended to connect atmospheric nitrogen inputs to changes in soil chemistry and then to measurable plant physiological or demographic outcomes, including changes in growth and survival.
Is the project looking for thresholds or tipping points?
Yes. A key goal is to test whether there are identifiable thresholds in soil or deposition metrics that correspond to detrimental physiological responses in plants.
Why are thresholds important for management?
Thresholds can support risk assessment and help with setting or refining critical loads and related environmental benchmarks tied to nitrogen deposition impacts.
What is a major deliverable expected from the project?
A major deliverable is a database that consolidates the assembled records into a usable, well-organized resource.
What happens after the database is developed?
After building the database, the project scales up from plot-level observations to a continental U.S. analysis using Forest Inventory and Analysis (FIA) data.
What is FIA and why is it included?
Forest Inventory and Analysis (FIA) is the primary nationwide forest monitoring program in the United States. Integrating compiled soil and plant-response data with FIA supports broader inference across forest regions, species assemblages, and environmental gradients beyond individual study sites.
What analytical methods does the announcement highlight?
The announcement highlights the use of hierarchical Bayesian analyses, indicating an expectation for advanced statistical modeling that can handle multi-level data structure.
What kinds of multi-level structure are expected in the data?
The description implies nested or hierarchical structure such as trees within plots, plots within regions, and differing responses among species under varying environmental conditions.
What outcomes are the models intended to evaluate?
The modeling approach is intended to evaluate tree growth and tree survival as a function of nitrogen deposition.
What variables or modifiers are expected to be accounted for in the modeling?
The announcement indicates that models should account for key modifiers including species identity, tree growth stage, soil type, and climate.
Is the work meant to be purely correlational?
No. The intent is to disentangle how nitrogen deposition interacts with biological traits and environmental context, rather than relying on correlation at a single scale.
How much funding was anticipated for this opportunity?
The opportunity anticipated a single award with an estimated total funding amount of $50,000.
Is cost sharing or matching required?
No. The opportunity states there is no cost-sharing requirement.
What do the listed award ceiling and floor of $0 mean?
The award ceiling and floor were listed as $0, which typically signals that the posting itself does not commit to a strict per-award cap or minimum, even though an expected total program amount is stated.
When was the opportunity posted and when did it close?
The posting and creation date were February 3, 2014, and the closing date was February 14, 2014.
Has this opportunity been archived?
Yes. The opportunity was archived on May 3, 2014.
What CFDA program is associated with this funding?
The associated CFDA program is 15.808 (U.S. Geological Survey Research and Data Collection).
Who is eligible to apply?
Eligibility is limited to organizations that are already participating partners in the Southern Appalachian Mountains CESU Program.
If the research scope is national, why is eligibility restricted to a specific CESU?
Although the research scope is national in scale, the assistance mechanism is issued through a specific CESU network, and applicants must be within that partnership to be eligible.
Where does the listing direct applicants to find the full announcement?
The listing points to Grants.gov for full announcement details.
Who should be contacted for problems accessing the announcement?
For announcement access issues, the contact provided is Faith Graves at 703-648-7356 or fgraves@usgs.gov.
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