Opportunity Information: Apply for F16AS00036
Apply for F16AS00036
- The DOI-FWS in the other (see text field entitled explanation of other category of funding activity for clarification) sector is offering a public funding opportunity titled "Landscape Factors Influencing functional connectivity for Greater Sage-grouse" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.669, 15.670,.
- This funding opportunity was created on Nov 20, 2015 and posted on Nov 20, 2015.
- Applicants must submit their applications by Nov 27, 2015. (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 $89,300.00 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 Department of the Interior, U.S. Fish and Wildlife Service (DOI-FWS) grant opportunity titled "Landscape Factors Influencing functional connectivity for Greater Sage-grouse" (Funding Opportunity Number F16AS00036) was a discretionary funding announcement offering support through a cooperative agreement. The work focuses on understanding and mapping how Greater Sage-grouse move across landscapes, using landscape genetics and connectivity modeling to identify the landscape features that help or hinder movement and gene flow. The overall aim is to translate biological and ecological understanding into practical maps and analyses that can guide conservation planning, especially where habitat fragmentation, land use, or other barriers may disrupt movement between populations.
The project is structured around three main tasks. First, the recipient would establish biologically meaningful groupings for landscape genetic analyses. In practical terms, this means dividing the broader study area into geographic or population groupings that make ecological and genetic sense for sage-grouse rather than relying on arbitrary administrative boundaries. These groupings are important because connectivity patterns can differ across regions depending on habitat configuration, topography, and local ecological conditions; analyzing connectivity within coherent groupings helps ensure the results reflect real movement and breeding structure.
Second, the project would develop and compare a set of ecologically relevant resistance surfaces for each geographic grouping. Resistance surfaces are spatial layers used in connectivity modeling that assign "movement cost" values to different landscape features, reflecting how easy or difficult it is for sage-grouse to move through those areas. The opportunity specifically emphasizes building resistance surfaces that represent different ecological hypotheses about what drives or limits genetic connectivity. For example, one hypothesis might treat intact sagebrush as low resistance and cropland or urban development as high resistance, while another might emphasize roads, energy development, conifer encroachment, terrain ruggedness, or other environmental variables. By developing multiple candidate resistance surfaces and comparing them, the project is designed to identify which ecological explanations best align with observed genetic patterns, strengthening the scientific basis for management decisions.
Third, the project would use existing lek locations as the current "nodes" in a connectivity framework and estimate current flow (meaning the predicted probability of movement) to map movement corridors within each grouping. Leks are key breeding sites for sage-grouse and serve as practical anchors for modeling because they represent recurring locations tied to population structure. Using these lek nodes, the project would apply a current-flow approach (often associated with circuit theory connectivity methods) to estimate where movement is most likely to occur across the landscape under each resistance hypothesis. The deliverable would be corridor and connectivity outputs that indicate areas expected to function as important movement pathways, pinch points, or high-value linkage zones connecting leks and, by extension, subpopulations.
Administratively, this opportunity was posted and created on November 20, 2015, with an application closing date of November 27, 2015. It anticipated a single award with a maximum (award ceiling) of $89,300 and an expected number of awards of one. The funding instrument was a cooperative agreement, which typically indicates that the agency expects to have substantial involvement during the project, such as coordination on methods, data use, deliverables, or interpretation of results. The opportunity was associated with CFDA numbers 15.669 and 15.670, and eligibility was listed broadly as "Others" with further clarification referenced in the full eligibility section of the announcement.
In essence, the grant supported a focused, applied science effort to connect genetic data and ecological landscape modeling so managers can better understand functional connectivity for Greater Sage-grouse. The intended products are defensible regional groupings for analysis, tested landscape resistance models tied to explicit ecological hypotheses, and corridor maps based on lek-to-lek connectivity that can help prioritize habitat conservation, restoration, and mitigation actions where connectivity is most at risk.
Frequently Asked Questions (FAQs)
What is the title of this grant opportunity?
The opportunity is titled "Landscape Factors Influencing functional connectivity for Greater Sage-grouse."
What agency is offering this funding opportunity?
The opportunity is offered by the Department of the Interior (DOI), U.S. Fish and Wildlife Service (FWS).
What is the Funding Opportunity Number (FON)?
The Funding Opportunity Number is F16AS00036.
What type of funding announcement is this?
This was a discretionary funding announcement.
What is the funding instrument for this award?
The funding instrument is a cooperative agreement.
What does it mean that the award is a cooperative agreement?
A cooperative agreement typically means the agency expects substantial involvement during the project, such as coordinating on methods, data use, deliverables, or interpretation of results.
What is the main purpose of the project?
The project supports applied science to understand and map how Greater Sage-grouse move across landscapes. It uses landscape genetics and connectivity modeling to identify landscape features that facilitate or impede movement and gene flow, and to translate that understanding into practical maps and analyses for conservation planning.
What species is the project focused on?
The work focuses on Greater Sage-grouse.
What is meant by "functional connectivity" in this opportunity?
In the context provided, functional connectivity refers to how Greater Sage-grouse are predicted to move across landscapes in ways that influence actual movement and gene flow between populations, especially where fragmentation, land use, or other barriers may disrupt connections.
What are the major threats or issues this project is meant to inform?
The project is intended to guide conservation planning in areas where habitat fragmentation, land use, or other barriers may disrupt movement between populations.
How is the project structured?
The project is structured around three main tasks: (1) establishing biologically meaningful groupings for analysis, (2) developing and comparing resistance surfaces for each grouping, and (3) using lek locations as nodes to model current flow and map movement corridors.
What are "biologically meaningful groupings" and why are they needed?
Biologically meaningful groupings are geographic or population groupings that make ecological and genetic sense for sage-grouse rather than relying on arbitrary administrative boundaries. The opportunity notes that connectivity patterns can differ across regions due to habitat configuration, topography, and local ecological conditions, so using coherent groupings helps ensure results reflect real movement and breeding structure.
What is a "resistance surface" in connectivity modeling?
A resistance surface is a spatial layer used in connectivity modeling that assigns movement cost values to landscape features, reflecting how easy or difficult it is for sage-grouse to move through those areas.
Why does the opportunity emphasize developing multiple resistance surfaces?
Multiple candidate resistance surfaces represent different ecological hypotheses about what drives or limits genetic connectivity. By comparing them, the project aims to determine which ecological explanations best align with observed genetic patterns, strengthening the scientific basis for management decisions.
What kinds of landscape features are mentioned as potential drivers of resistance?
Examples mentioned include intact sagebrush (as potentially low resistance), cropland or urban development (as potentially high resistance), and other variables such as roads, energy development, conifer encroachment, and terrain ruggedness.
What does "current flow" mean in this project?
Current flow refers to an approach for estimating the predicted probability of movement across the landscape to map where movement is most likely to occur, often associated with circuit theory connectivity methods.
What are "leks" and how are they used in the project?
Leks are key breeding sites for sage-grouse. The project uses existing lek locations as the current "nodes" in the connectivity framework because leks are recurring locations tied to population structure, providing practical anchors for modeling.
What does it mean to use lek locations as "nodes"?
Using lek locations as nodes means treating them as anchor points in the connectivity model so that predicted movement pathways and linkages are mapped in terms of connections among these breeding sites and associated subpopulations.
What kinds of outputs or deliverables are expected?
The intended products include: defensible regional groupings for analysis, tested landscape resistance models tied to explicit ecological hypotheses, and corridor/connectivity maps based on lek-to-lek connectivity. The corridor outputs are described as indicating important movement pathways, pinch points, or high-value linkage zones.
How could the results be used by managers or conservation planners?
The outputs are meant to help prioritize habitat conservation, restoration, and mitigation actions, particularly in areas where connectivity is most at risk due to fragmentation or barriers.
When was this opportunity posted and created?
The opportunity was posted and created on November 20, 2015.
What was the application closing date?
The application closing date was November 27, 2015.
How many awards were anticipated?
The opportunity anticipated a single award, with an expected number of awards of one.
What was the maximum award amount?
The maximum (award ceiling) was $89,300.
What CFDA numbers are associated with this opportunity?
The opportunity was associated with CFDA numbers 15.669 and 15.670.
Who was eligible to apply?
Eligibility was listed broadly as "Others," with further clarification referenced in the full eligibility section of the announcement.
Does the opportunity specify the study area boundaries?
The information provided does not specify exact study area boundaries, but it does describe dividing the broader study area into biologically meaningful geographic or population groupings for analysis.
Does the project require new lek data or does it rely on existing information?
The project description states it would use existing lek locations as the nodes in the connectivity framework.
Is the intent to create maps that show corridors between populations?
Yes. The project includes mapping movement corridors within each grouping, using a current-flow approach under each resistance hypothesis, resulting in corridor and connectivity outputs highlighting pathways, pinch points, and linkage zones.
How does the project connect genetics to landscape planning?
The project pairs landscape genetics with connectivity modeling: resistance surfaces based on ecological hypotheses are compared against observed genetic patterns, with the goal of identifying which landscape features best explain genetic connectivity and translating that into practical corridor maps for planning.
Is this opportunity focused more on research or implementation?
Based on the description, it is a focused applied science effort intended to produce actionable maps and analyses to guide conservation planning, rather than implementation actions themselves.
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