Opportunity ID: 286003

General Information

Document Type: Grants Notice
Funding Opportunity Number: F16AS00338
Funding Opportunity Title: Finite block kriging with detection functions: Development of a new model for estimating the abundance of moose in Alaska by building on the Geospatial Population Estimator
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Cooperative Agreement
Category of Funding Activity: Natural Resources
Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards: 1
Assistance Listings: 15.678 — Cooperative Ecosystem Studies Units
Cost Sharing or Matching Requirement: No
Version: Synopsis 1
Posted Date: Jul 12, 2016
Last Updated Date:
Original Closing Date for Applications: Jul 30, 2016
Current Closing Date for Applications: Jul 30, 2016
Archive Date: Aug 30, 2016
Estimated Total Program Funding: $41,000
Award Ceiling: $41,000
Award Floor: $41,000

Eligibility

Eligible Applicants: Public and State controlled institutions of higher education
Additional Information on Eligibility:

Additional Information

Agency Name: Fish and Wildlife Service
Description: The US Fish and Wildlife Service, Region 7 intends to award a single source financial assistance agreement as authorized by 505 DM 2.14 (B) to Oregon State University. This notice is not a request for proposals and the Government does not intend to accept proposals.

This financial assistance opportunity is being issued under the Cooperative Ecosystem Studies
Unit (CESU) Network: (http://www.cesu.psu.edu/materials/partners.htm). The CESU network provides research, technical assistance, and education to federal land management, environmental, and research agencies and their partners. The partners serve the biological, physical, social, cultural, and engineering disciplines needed to address natural and cultural resource management issues at multiple scales and in an ecosystem context.
Description of Funding Opportunity
Project Title: Finite Block Kriging with Detection Functions: Development of a new model for estimating the abundance of moose in Alaska by building on the Geospatial Population Estimator.
The Geospatial Population Estimator (GSPE), also known as finite block kriging for plot-based sampling (Ver Hoef 2008), has been widely used in Alaska to estimate the abundance of moose. The method provided relatively unbiased and precise estimates of abundance when data were collected during recommended conditions, e.g., adequate snow cover (Kellie and Delong 2006). During the past five years, however, adequate snowfall has been unreliable throughout most of Alaska.
The probability of detecting a moose is known to vary with snow conditions. As such, data are currently being collected by the USFWS, using radio-collared animals, to estimate the probability of detecting a moose for a given sample unit using a logistic model. The model could be used to reduce bias thought to occur when estimating moose in less than ideal conditions. To correctly estimate the precision of our moose population estimates, however, a model must be derived that correctly estimates the variance of the GSPE with a detection function.
The objective of this funding opportunity is to develop a model that incorporates a detection function into the GSPE. The model will be used to predict moose abundance under a range of conditions known to affect the count of moose in western Alaska.

Link to Additional Information: Fukk Announcement
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

Regional Refuge Biometrician McCrea Cobb +19077863403
mccrea_cobb@fws.gov

Email:mccrea_cobb@fws.gov

Version History

Version Modification Description Updated Date

Folder 286003 Full Announcement-Full Announcement -> 1.17 NOFO_F16AS00338.pdf

Packages

Agency Contact Information: Regional Refuge Biometrician McCrea Cobb +19077863403
mccrea_cobb@fws.gov

Email: mccrea_cobb@fws.gov

Who Can Apply: Organization Applicants

Assistance Listing Number Competition ID Competition Title Opportunity Package ID Opening Date Closing Date Actions
15.678 PKG00225437 Jul 12, 2016 Jul 30, 2016 View

Package 1

Mandatory forms

286003 SF424_2_1-2.1.pdf

286003 SF424B-1.1.pdf

286003 SF424A-1.0.pdf

286003 ProjectNarrativeAttachments_1_2-1.2.pdf

Optional forms

286003 AttachmentForm_1_2-1.2.pdf

286003 SFLLL_1_2-1.2.pdf

2025-07-09T16:40:42-05:00

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