Opportunity Information: Apply for G16AS00027
Apply for G16AS00027
- The DOI-USGS1 in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Ecosystem Studies Unit, Hawaii/Pacific Islands CESU" 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 Jan 27, 2016 and posted on Jan 27, 2016.
- Applicants must submit their applications by Feb 12, 2016. (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 $79,994.00 in funding.
- 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).
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Opportunity Summary:
The Cooperative Ecosystem Studies Unit, Hawaii/Pacific Islands CESU opportunity (Funding Opportunity Number G16AS00027) was a US Department of the Interior, U.S. Geological Survey (USGS) funding call administered through the John Wesley Powell Center for Analysis and Synthesis. It was released on January 27, 2016 and closed on February 12, 2016. The award was structured as a cooperative agreement, meaning the project was expected to involve active collaboration with USGS rather than functioning purely as an independent grant. The program sat in the Science and Technology/Research and Development category (CFDA 15.808) and anticipated a single award with a maximum funding level of $79,994.
The core purpose of the project was to understand why some coral reefs remain comparatively healthy or recover better than others in the face of large-scale ocean change. The opportunity framed this as a resilience question that bridges local reef conditions with global stressors, aiming to identify so-called "reef oases" and the conditions that support them. Using existing datasets from multiple reef states, including healthy reefs, degraded reefs, and reefs with long-term monitoring records, the work would investigate which combinations of species composition, species traits, broader ecological properties, and physical environmental factors tend to be associated with these oasis-like reefs. A related focus was to determine what conditions might enable recovery at broader scales when reefs show oasis characteristics, essentially moving from identifying patterns to understanding what supports ecosystem rebound.
The work plan emphasized synthesis and analysis rather than new field collection. Major tasks included locating and acquiring relevant biological, physical, chemical, and geographic datasets from USGS and additional sources; assessing data quality and compatibility; and publishing or otherwise making these compiled datasets usable for analysis. The analytical approach was expected to be rigorous and explicitly quantitative, relying on a framework supported by multivariate statistics, structural equation modeling, and generalized mixed-effects modeling. These methods suggest the project aimed to handle complex relationships among variables, account for confounding and indirect pathways, and appropriately model data that may be hierarchical or unevenly sampled across time and place, which is typical in ecological monitoring datasets.
Beyond data compilation and modeling, the opportunity also required traditional synthesis outputs, including targeted literature searches to ground the analysis in prior reef ecology and resilience research and to inform selection of variables, trait definitions, and hypothesized causal pathways. The final deliverables were geared toward publication, with manuscript preparation explicitly listed, indicating an expectation of peer-reviewed or similarly formal scientific dissemination. Eligibility was listed broadly as "Others" with additional clarification referenced in the original notice, reflecting that this was tied to the Hawaii/Pacific Islands CESU network context, where certain partner institutions or categories of organizations are commonly positioned to apply under CESU mechanisms.
In practical terms, the grant funded a relatively focused, time-bounded research synthesis effort: assemble and curate disparate reef datasets, apply advanced statistical modeling to isolate the conditions linked to reef oases and recovery potential, and produce publishable results that could inform coral reef management and resilience planning under accelerating climate and ocean change.
Frequently Asked Questions (FAQs)
What is the name of this funding opportunity?
This opportunity is the Cooperative Ecosystem Studies Unit, Hawaii/Pacific Islands CESU funding call administered through the John Wesley Powell Center for Analysis and Synthesis, under the U.S. Department of the Interior, U.S. Geological Survey (USGS).
What is the Funding Opportunity Number (FON)?
The Funding Opportunity Number is G16AS00027.
Which federal agency offered the opportunity?
The opportunity was offered by the U.S. Department of the Interior, U.S. Geological Survey (USGS), and administered through the John Wesley Powell Center for Analysis and Synthesis.
When was the opportunity released and when did it close?
It was released on January 27, 2016 and closed on February 12, 2016.
Is this opportunity still open?
No. Based on the provided dates, the application window closed on February 12, 2016.
What type of award was this?
The award was structured as a cooperative agreement.
What does it mean that the award is a cooperative agreement?
A cooperative agreement indicates the project was expected to involve active collaboration with USGS, rather than operating purely as an independent, recipient-directed grant.
What program category does this opportunity fall under?
The opportunity was in the Science and Technology/Research and Development category.
What is the CFDA number associated with this opportunity?
The CFDA number listed is 15.808.
How many awards were anticipated?
The opportunity anticipated a single award.
What was the maximum funding level?
The maximum funding level was $79,994.
What was the main scientific goal of the project?
The project aimed to understand why some coral reefs remain comparatively healthy or recover better than others under large-scale ocean change, focusing on resilience and the identification of "reef oases" and the conditions that support them.
What are "reef oases" in the context of this opportunity?
In this opportunity, "reef oases" refers to reefs that appear to remain healthy or show stronger recovery relative to others, and the project sought to identify the ecological and environmental conditions associated with those reefs.
What kinds of reefs and records were included in the intended analysis?
The work was expected to use existing datasets from multiple reef states, including healthy reefs, degraded reefs, and reefs with long-term monitoring records.
What factors was the project expected to examine to explain reef resilience?
The analysis was expected to examine combinations of species composition, species traits, broader ecological properties, and physical environmental factors that are associated with oasis-like reefs and recovery potential.
Was the project intended to collect new field data?
No. The work plan emphasized synthesis and analysis rather than new field collection.
What were the major data-related tasks described in the opportunity?
Major tasks included locating and acquiring relevant biological, physical, chemical, and geographic datasets from USGS and additional sources; assessing data quality and compatibility; and publishing or otherwise making compiled datasets usable for analysis.
What types of datasets were expected to be compiled?
The opportunity referenced biological, physical, chemical, and geographic datasets, including USGS datasets and additional sources relevant to coral reef condition and environmental context.
What statistical or modeling approaches were expected?
The opportunity called for an explicitly quantitative approach supported by multivariate statistics, structural equation modeling, and generalized mixed-effects modeling.
Why were generalized mixed-effects models mentioned?
They were included because reef monitoring datasets often have complex structure (for example, hierarchical data and uneven sampling across time and place), and mixed-effects models are suited to those kinds of data patterns.
Why were structural equation models mentioned?
Structural equation modeling was highlighted to support analysis of complex relationships among variables, including indirect pathways and potential confounding, consistent with the opportunity's emphasis on understanding conditions linked to oasis reefs and recovery.
What synthesis activities were required besides quantitative analysis?
The opportunity also required targeted literature searches to ground the analysis in prior reef ecology and resilience research and to help inform variable selection, trait definitions, and hypothesized causal pathways.
What were the expected deliverables?
Deliverables emphasized publication-oriented outputs, including manuscript preparation, along with compiled datasets that were published or otherwise made usable for analysis.
Was peer-reviewed publication implied or required?
The opportunity explicitly listed manuscript preparation as a deliverable, signaling an expectation of peer-reviewed or similarly formal scientific dissemination.
What was the practical scope of the project?
The project was described as a focused, time-bounded research synthesis effort: assembling and curating disparate reef datasets, applying advanced statistical modeling to identify conditions linked to reef oases and recovery potential, and producing publishable results to inform coral reef management and resilience planning.
Who was eligible to apply?
Eligibility was listed broadly as "Others," with additional clarification referenced in the original notice. The description also notes the opportunity was tied to the Hawaii/Pacific Islands CESU network context, where certain partner institutions or categories of organizations are commonly positioned to apply under CESU mechanisms.
Was the project expected to use USGS data?
Yes. The work plan explicitly included locating and acquiring relevant datasets from USGS, along with additional sources.
What management or real-world outcomes was the work intended to support?
The intended outcomes included results that could inform coral reef management and resilience planning under accelerating climate and ocean change, by identifying conditions associated with healthier reefs and recovery potential.
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