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Frequently Asked Questions (FAQs)

What is the main purpose of this CESU funding opportunity?

The opportunity supports research to modernize how salmonid gene flow and population structure are modeled and inferred in real stream systems. The core goal is to develop and apply an agent-based model for salmonids in complex stream networks that are not in equilibrium (conditions and population processes change over time rather than settling into a stable state). In parallel, it calls for major advances in spatial population genetics focused on measuring and predicting gene flow in landscapes that are both spatially complicated and temporally dynamic.

Which agency and office are offering this funding?

This funding opportunity is issued by the U.S. Geological Survey (USGS) through its Northern Rocky Mountain Science Center (NOROCK) under the Cooperative Ecosystem Studies Unit (CESU) framework.

What type of award is expected?

The announcement describes the funding as a discretionary opportunity offered as a cooperative agreement within the CESU framework.

How many awards are anticipated?

The opportunity anticipates a single award.

What is the estimated total funding amount?

The estimated total funding amount listed is $22,815.

Is cost sharing or matching required?

Yes. The listing states that cost sharing or matching is required.

Who is eligible to apply?

Only partners in the Rocky Mountain CESU are eligible to apply. The opportunity is restricted to that CESU partnership network.

What is the funding opportunity number?

The funding opportunity number is 11HQPA0015.

What CFDA program is associated with this opportunity?

The CFDA program listed is 15.808, identified as U.S. Geological Survey Research and Data Collection.

What are the key dates listed for this opportunity?

The posted date is November 23, 2010. The current closing date is December 14, 2010. The archive date is January 6, 2011.

What research problem is this project trying to address?

The announcement argues that classic population genetic theory is often too idealized for salmonids in complex, changing stream networks. Traditional approaches frequently assume equilibrium conditions and simplified population structure, which can obscure or misrepresent key mechanisms in real environments. The project is intended to push beyond those limitations by pairing mechanistic ecological modeling with advances in spatial population genetics and new statistical inference tools.

What does "non-equilibrium" mean in the context of this project?

In this opportunity, non-equilibrium refers to stream and population conditions that change over time rather than reaching and maintaining a stable, predictable state. Examples mentioned include shifting flow regimes, disturbances, and changing habitat quality.

What modeling approach is specifically called for?

The core project goal is to develop and apply an agent-based model. This involves simulating individual fish behavior, movement, survival, and reproduction within complex stream-network structures and under time-varying conditions, then examining how those processes produce observable genetic patterns.

What kinds of landscapes and systems are emphasized?

The focus is on complex stream networks that can include branching structure, barriers, gradients, and habitat patchiness, and that also vary through time (for example, through disturbances or longer-term environmental shifts).

What is meant by "spatial population genetics" in this announcement?

The opportunity emphasizes advancing spatial population genetics for salmonids, with an emphasis on understanding and predicting gene flow across landscapes that are spatially complex and temporally dynamic. The expectation is that the work will go beyond standard equilibrium-based perspectives.

What technical elements are expected to be integrated?

The project is expected to integrate population genetic theory with fully spatial and temporal ecological dynamics. That includes sophisticated simulation tools (including agent-based modeling) and novel statistical modeling approaches that can measure and predict gene flow in realistic, non-equilibrium landscapes.

Why does the announcement emphasize innovation and originality?

Because the announcement explicitly critiques common equilibrium assumptions and simplified structures in traditional population genetics, it calls for a rethink of the underlying theory and toolset. It indicates that existing perspectives and commonly used methods may lead to the wrong questions or fail to resolve key scientific and management challenges, so substantial innovation is expected rather than incremental improvements.

What is the role of simulation in the project?

Simulation is intended to explore gene flow under different scenarios of spatial complexity (such as varying connectivity and habitat arrangement) and temporal complexity (such as episodic disturbances or long-term environmental shifts). The simulation component is positioned as a way to connect mechanistic processes to genetic patterns.

What kinds of statistical methods are expected?

The opportunity emphasizes developing novel statistical modeling approaches capable of measuring and predicting gene flow in realistic, non-equilibrium landscapes. It specifically points toward methods that can connect field or genetic data to the output of complex, mechanistic models and support inference about movement and connectivity in ways that standard equilibrium-based approaches often cannot.

What deliverables are implied by the announcement?

While the listing does not provide a formal deliverables section, it indicates deliverables are likely to include: a working agent-based modeling framework for salmonids in complex stream networks; simulation experiments spanning realistic landscape scenarios; and new statistical tools or methods designed to quantify and forecast gene flow under complex, changing environmental conditions.

Who is the contact for access or administrative questions?

The listed contact is Faith Graves, Contract Specialist, reachable at 703-648-7356.

Is this opportunity more focused on management applications or foundational theory?

Based on the description provided, it is targeted research aimed at modernizing theory and tools while also addressing scientific and management challenges related to movement, connectivity, and gene flow in real stream systems.

What makes this opportunity a CESU project?

It is offered within the Cooperative Ecosystem Studies Unit (CESU) framework and is limited to Rocky Mountain CESU partners, reflecting the CESU model where research and technical assistance are conducted through established partnerships.