Opportunity Information: Apply for G14AS00013
Apply for G14AS00013
- 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, Rocky Mountain 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 Dec 11, 2013 and posted on Nov 25, 2013.
- Applicants must submit their applications by Dec 20, 2013. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $68,000.00 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 Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) Program.
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Opportunity Summary:
The Cooperative Ecosystem Studies Unit, Rocky Mountain CESU grant opportunity (Funding Opportunity Number G14AS00013) was offered by the U.S. Geological Survey (USGS), specifically the Fort Collins Science Center, to support research on how atmospheric nitrogen (N) deposition may be linked to terrestrial vegetation diversity across the United States. The central question driving the work is whether there is a measurable relationship between nitrogen deposited from the atmosphere and plant diversity, and if so, where in the U.S. that relationship is strongest or most apparent. The proposed work is built around a clear hypothesis: as atmospheric N deposition increases along a gradient, plant diversity and species richness (with diversity defined to include both richness and abundance) decline.
The project emphasis is on using existing empirical datasets rather than starting entirely from scratch. The funded effort is expected to compile, evaluate, and analyze available plant diversity data that already occur along known or modeled nitrogen deposition gradients. This includes gathering and assessing datasets that capture patterns in terrestrial plant communities, then pairing those observations with modeled N deposition surfaces to test for consistent trends. Beyond simply checking for correlations, the scope includes identifying geographic areas or ecosystem types where existing information is thin or where additional analysis and targeted data collection could meaningfully strengthen conclusions.
A major technical challenge explicitly called out in the opportunity is dealing with confounding variables that tend to change alongside nitrogen deposition gradients. In many landscapes, N deposition is correlated with other factors such as climate, elevation, land use intensity, soil chemistry, and pollution mixtures, which can make it difficult to isolate nitrogen effects. The announcement signals that applicants should address these co-varying factors using credible approaches such as comparisons to nitrogen fertilizer experiments (where nitrogen is manipulated more directly), multivariate statistical methods, or other analytical strategies capable of separating nitrogen signals from correlated environmental drivers. The work is also expected to include formal statistical analysis and meta-analysis, indicating an interest in synthesizing evidence across multiple studies, sites, or datasets to assess overall effect sizes and patterns rather than relying on single-case results.
One of the most policy-relevant deliverables implied in the description is informing potential revisions to critical loads (CL) for nitrogen deposition impacts on terrestrial biodiversity. Critical loads are commonly used thresholds describing deposition levels above which harmful ecological effects are expected. By evaluating real-world diversity responses along deposition gradients and integrating evidence across datasets, the project aims to help refine estimates of where those thresholds may lie for different ecosystems or regions, and whether current critical load values appropriately reflect biodiversity impacts.
Administratively, this was a discretionary funding opportunity using a cooperative agreement mechanism, meaning substantial involvement or collaboration with the federal agency is typically expected compared to a standard grant. The opportunity fell under the Science and Technology and other Research and Development activity category and referenced CFDA 15.808 (U.S. Geological Survey Research and Data Collection). The posting timeline indicates it was posted on November 25, 2013, with an original closing date of December 6, 2013, later extended to December 20, 2013, and archived on February 25, 2014. The estimated total funding amount for the opportunity was $68,000, with an expectation of a single award and no cost-sharing or matching requirement listed. The award ceiling and floor were both shown as $0, which often reflects a formatting or posting convention rather than the absence of funding, especially given the stated total estimated funding.
Eligibility was limited to organizations that are participating partners in the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) Program. CESUs are partnership networks designed to provide research, technical assistance, and education services to federal land and science agencies, and this restriction means only entities formally affiliated with the Rocky Mountain CESU could apply. For access issues or questions, the listed contact was Faith Graves (703-648-7356, fgraves@usgs.gov), and the general opportunity information was accessible through Grants.gov.
FAQs: Rocky Mountain CESU (USGS) Grant Opportunity G14AS00013
What is the funding opportunity number for this grant?
The funding opportunity number is G14AS00013.
Which federal agency offered this opportunity?
The opportunity was offered by the U.S. Geological Survey (USGS), specifically the Fort Collins Science Center.
What program or unit is this opportunity associated with?
This opportunity was offered through the Cooperative Ecosystem Studies Unit (CESU) network, under the Rocky Mountain CESU.
What is the main research topic of the project?
The project focuses on understanding whether atmospheric nitrogen (N) deposition is linked to terrestrial vegetation diversity across the United States.
What central question is the project trying to answer?
The central question is whether there is a measurable relationship between atmospheric nitrogen deposition and plant diversity, and where in the U.S. that relationship is strongest or most apparent.
What hypothesis is the proposed work built around?
The work is built around the hypothesis that as atmospheric nitrogen deposition increases along a gradient, plant diversity and species richness decline (with diversity defined to include both richness and abundance).
How is "diversity" defined in this opportunity?
Diversity is defined to include both species richness and abundance.
Is the project expected to collect new field data, or use existing datasets?
The project emphasis is on using existing empirical datasets rather than starting entirely from scratch.
What kinds of data are applicants expected to compile and analyze?
The funded effort is expected to compile, evaluate, and analyze available plant diversity data that occur along known or modeled nitrogen deposition gradients.
How is nitrogen deposition expected to be represented in the analysis?
The work is expected to pair plant diversity observations with modeled nitrogen deposition surfaces to test for consistent trends along deposition gradients.
Is the scope limited to checking simple correlations between nitrogen deposition and diversity?
No. Beyond correlation checks, the scope includes evaluating datasets, conducting formal statistical analysis and meta-analysis, and identifying where additional analysis or targeted data collection could strengthen conclusions.
What is a major technical challenge identified in the opportunity?
A major challenge is dealing with confounding variables that change alongside nitrogen deposition gradients, making it difficult to isolate nitrogen effects.
What confounding variables are specifically mentioned?
The announcement notes that nitrogen deposition can be correlated with climate, elevation, land use intensity, soil chemistry, and pollution mixtures.
How does the opportunity suggest addressing confounding variables?
It signals that applicants should address co-varying factors using credible approaches such as comparisons to nitrogen fertilizer experiments (where nitrogen is manipulated more directly), multivariate statistical methods, or other analytical strategies capable of separating nitrogen signals from correlated environmental drivers.
Does the opportunity call for meta-analysis?
Yes. The work is expected to include formal statistical analysis and meta-analysis to synthesize evidence across multiple studies, sites, or datasets and assess overall effect sizes and patterns.
What deliverable or outcome is implied as policy-relevant?
A key implied outcome is informing potential revisions to critical loads (CL) for nitrogen deposition impacts on terrestrial biodiversity.
What are "critical loads" in the context of this opportunity?
Critical loads are thresholds describing deposition levels above which harmful ecological effects are expected.
How could the project influence critical load estimates?
By evaluating real-world diversity responses along deposition gradients and integrating evidence across datasets, the project aims to help refine estimates of where critical load thresholds may lie for different ecosystems or regions, and whether current values appropriately reflect biodiversity impacts.
What type of funding mechanism was used?
This was a discretionary funding opportunity using a cooperative agreement mechanism.
What does a cooperative agreement imply for the relationship with USGS?
A cooperative agreement typically implies substantial involvement or collaboration with the federal agency compared to a standard grant.
What activity category was the opportunity listed under?
It fell under the Science and Technology and other Research and Development category.
What CFDA number was referenced?
The opportunity referenced CFDA 15.808 (U.S. Geological Survey Research and Data Collection).
When was the opportunity posted?
It was posted on November 25, 2013.
What was the original closing date, and was it extended?
The original closing date was December 6, 2013, and it was later extended to December 20, 2013.
When was the opportunity archived?
The opportunity was archived on February 25, 2014.
What was the estimated total funding amount?
The estimated total funding amount for the opportunity was $68,000.
How many awards were expected?
The opportunity indicated an expectation of a single award.
Was cost-sharing or matching required?
No cost-sharing or matching requirement was listed.
Why do the award ceiling and floor show as $0 even though funding is estimated?
The award ceiling and floor were both shown as $0, which was described as often reflecting a formatting or posting convention rather than the absence of funding, especially given the stated estimated total funding of $68,000.
Who was eligible to apply?
Eligibility was limited to organizations that are participating partners in the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) Program.
What does the eligibility restriction mean in practical terms?
It means only entities formally affiliated with the Rocky Mountain CESU could apply for this opportunity.
Where could applicants access the official opportunity information?
The general opportunity information was accessible through Grants.gov.
Who was the listed contact for access issues or questions?
The listed contact was Faith Graves, reachable at 703-648-7356 or fgraves@usgs.gov.
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