Opportunity Information: Apply for P16AS00328

  • The Department of the Interior, National Park Service in the natural resources sector is offering a public funding opportunity titled "(1)Notice of Intent: Analysis of Southwest Network Cooperative Landbird Data and Workshop on Use of General Linear Models to Analyze Monitoring Data" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.945.
  • This funding opportunity was created on Jul 14, 2016.
  • Applicants must submit their applications by Jul 21, 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 $95,000.00 in funding.
  • The number of recipients for this funding is limited to 1 candidate(s).
  • Eligible applicants include: Public and State controlled institutions of higher education, Others (see text field entitled Additional Information on Eligibility for clarification).
Apply for P16AS00328

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Opportunity Summary:

This Notice of Intent describes a National Park Service (NPS) cooperative agreement opportunity focused on strengthening landbird monitoring and data-analysis capacity across multiple NPS Inventory and Monitoring (IM) networks in the U.S. Southwest. The work is organized into two connected tasks: a technical analysis of existing monitoring datasets and a hands-on statistical training workshop for IM Network staff. Together, these efforts are meant to improve how parks understand landbird community status and trends, and to ensure the staff responsible for long-term monitoring are better equipped to run and interpret modern statistical analyses.

The first task centers on analyzing landbird monitoring data collected by three IM Networks: the Chihuahuan Desert, Southern Plains, and Sonoran Desert networks. The selected cooperator is expected to use these datasets to quantify bird community dynamics and produce meaningful ecological indicators. The announcement specifically mentions outputs such as species richness estimates (how many species are present and how that changes across space and time) and additional population-level metrics for more common species, including density estimates (how many individuals occur per unit area) and occupancy estimates (the probability a species is present at a site, often accounting for imperfect detection). In practical terms, this analysis helps park managers and scientists detect changes in bird communities that may reflect broader ecosystem shifts, habitat conditions, climate influences, or management actions.

The second task is capacity-building: the cooperator will deliver a statistical workshop for Network staff on the use of general linear models and other relevant statistical modeling approaches for monitoring data. The intent is applied training that improves staff ability to analyze and interpret monitoring results themselves, rather than relying solely on external analysts. While the title highlights general linear models, the description signals broader exposure to "various statistical models" commonly used in ecological monitoring, which typically includes methods for count data, detection issues, occupancy modeling, and related approaches appropriate for repeated surveys and long-term datasets. This training component is positioned as a way to improve consistency and rigor in future analyses conducted by the IM Networks.

From a program perspective, the opportunity supports the broader NPS Inventory and Monitoring Network mission by translating monitoring data into interpretable metrics that can inform park management across the Southwest. It also emphasizes dissemination: non-sensitive project results are intended to be publicly available via the IM Network websites, contributing to transparency and allowing researchers and practitioners outside NPS to benefit from the findings. The scientific value extends beyond individual parks because these networks cover large, ecologically diverse regions where landbirds are widely used as indicators of ecosystem condition.

Administratively, this is a discretionary funding opportunity under the Department of the Interior, National Park Service, with the funding instrument listed as a cooperative agreement, which typically implies substantial involvement or collaboration with the federal agency during the project. The funding activity category is Natural Resources, and the CFDA number is 15.945. Eligible applicants include public and state-controlled institutions of higher education, along with other eligible entities as clarified in the opportunity’s additional eligibility information. The posting indicates an expected single award, with an award ceiling of $95,000. Key dates listed are a creation date of July 14, 2016, and an original closing date of July 21, 2016, indicating a short application window for this particular announcement.

Frequently Asked Questions (FAQs)

What is this funding opportunity about?

This Notice of Intent describes a National Park Service (NPS) cooperative agreement focused on strengthening landbird monitoring and data-analysis capacity across multiple NPS Inventory and Monitoring (IM) networks in the U.S. Southwest. The work is organized into two connected tasks: (1) a technical analysis of existing landbird monitoring datasets and (2) a hands-on statistical training workshop for IM Network staff.

Which NPS program or mission does this support?

The project supports the broader NPS Inventory and Monitoring Network mission by translating long-term monitoring data into interpretable metrics that can inform park management. It also aims to improve the ability of IM Network staff to run and interpret modern statistical analyses for ongoing monitoring.

What are the two main tasks included in the project?

The project includes two linked tasks:

  • Task 1: Technical data analysis of existing landbird monitoring datasets from multiple IM networks to quantify bird community dynamics and produce ecological indicators.
  • Task 2: Capacity-building workshop to train IM Network staff in applied statistical modeling approaches (including general linear models and other relevant models used for monitoring data).

Which IM Networks and datasets are included in the analysis task?

The analysis is based on landbird monitoring data collected by three NPS IM Networks: the Chihuahuan Desert, Southern Plains, and Sonoran Desert networks.

What kinds of analytical outputs are expected from the landbird data analysis?

The notice highlights outputs that quantify bird community status and trends. Examples named in the announcement include:

  • Species richness estimates (how many species are present, and how richness changes across space and time)
  • Density estimates for more common species (individuals per unit area)
  • Occupancy estimates for more common species (probability a species is present at a site, often accounting for imperfect detection)

Why are species richness, density, and occupancy metrics important for parks?

These metrics help park managers and scientists detect changes in landbird communities that may reflect broader ecosystem shifts, habitat conditions, climate influences, or management actions. By producing consistent indicators, the IM Networks can better interpret monitoring results over time and across large regions.

What does the training workshop cover?

The project includes delivery of a statistical workshop for IM Network staff focused on the use of general linear models and other relevant statistical modeling approaches for monitoring data. While general linear models are explicitly highlighted, the description also refers to training on "various statistical models" commonly used in ecological monitoring.

Is the workshop intended to be theoretical or applied?

The notice positions the workshop as applied, hands-on training intended to improve staff ability to analyze and interpret monitoring results themselves, rather than relying entirely on external analysts.

How does this opportunity improve long-term monitoring capacity?

It combines a near-term technical analysis of existing datasets with direct capacity-building for the staff who manage and interpret long-term monitoring data. The intent is to improve consistency and rigor in future analyses conducted by the IM Networks.

Will project results be shared publicly?

Yes. The opportunity emphasizes dissemination: non-sensitive project results are intended to be publicly available via IM Network websites. This supports transparency and allows researchers and practitioners outside NPS to benefit from the findings.

What is the funding instrument for this award?

The funding instrument is a cooperative agreement, which typically implies substantial involvement or collaboration with the federal agency during the project.

Which federal agency is offering this opportunity?

This is a discretionary funding opportunity under the U.S. Department of the Interior, National Park Service (NPS).

What is the funding activity category?

The funding activity category is Natural Resources.

What is the CFDA number listed for this opportunity?

The CFDA number listed is 15.945.

Who is eligible to apply?

Eligible applicants include public and state-controlled institutions of higher education, along with other eligible entities as clarified in the opportunity's additional eligibility information.

How many awards does NPS expect to make?

The posting indicates an expected single award.

What is the maximum funding amount available?

The award ceiling listed is $95,000.

What are the key dates for this announcement?

The notice lists a creation date of July 14, 2016 and an original closing date of July 21, 2016, indicating a short application window for this particular announcement.

What geographic region does the work focus on?

The work focuses on the U.S. Southwest, specifically through the Chihuahuan Desert, Southern Plains, and Sonoran Desert IM networks, which collectively cover large and ecologically diverse areas.

How are landbirds used in this project?

Landbirds are treated as indicators of ecosystem condition. By analyzing changes in landbird communities across time and space, the project aims to produce indicators that can help interpret broader ecological change in the parks covered by the IM networks.

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