Opportunity ID: 47736

General Information

Document Type: Grants Notice
Funding Opportunity Number: 09HQPA0039
Funding Opportunity Title: Cooperative Ecosystem Studies Unit, Rocky Mountain CESU
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Cooperative Agreement
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards: 1
Assistance Listings: 15.808 — U.S. Geological Survey_ Research and Data Collection
Cost Sharing or Matching Requirement: No
Version: Synopsis 1
Posted Date: Jun 02, 2009
Last Updated Date:
Original Closing Date for Applications: Jun 11, 2009
Current Closing Date for Applications: Jun 11, 2009
Archive Date: Jul 11, 2009
Estimated Total Program Funding: $18,400
Award Ceiling: $0
Award Floor: $0

Eligibility

Eligible Applicants: Others (see text field entitled “Additional Information on Eligibility” for clarification)
Additional Information on Eligibility: This financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Unit (CESU) Program. CESU’s are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) Program.

Additional Information

Agency Name: Geological Survey
Description: The purpose of the Northern Rocky Mountain Science Center (NOROCK) funding opportunity is to develop a GIS-based, spatially explicit model of probability of occurrence of grizzly bears in the Greater Yellowstone Ecosystem (GYE). The model will be used to identify important habitats and rank them according to the probability that they will be used by grizzly bears. As part of the modeling process, habitat characteristics highly correlated with bear use will be identified. The modeling will encompass the entire GYE, consisting of Yellowstone and Grant Teton National Parks, six national forests, and various state and private lands in parts of Wyoming, Montana and Idaho. This work will employ a use-availability type study design. Information about grizzly bear habitat use will be provided by the Center from data collected as part of ongoing research and monitoring efforts. Information about habitat availability will come from existing GIS layers for the GYE. These themes describe vegetational, physiographic, and anthropogenic characteristics believed important to bear habitat selection. A variety of methods will be considered for modeling probability of use or ranking habitats according to probability of use, which include: logistic discriminant analysis (Seber 1984) for ranking habitats according to probability of use; the parametric weighted distribution approach of Lele and Keim (2006) for modeling actual probabilities of use; and produce kernel density estimation (Scott 1992) with Bayesian bandwidth selection (Zhang et al 2006) for nonparametric modeling of probabilities of use. It should be noted that because wildlife habitat-selection modeling is an extremely active area of research, with new methods being proposed on a regular basis, the final suite of modeling methods explored in this study may vary somewhat from those listed above.
Link to Additional Information:
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

FAITH GRAVES

Contract Specialist

Phone 703-648-7356
Email:fgraves@usgs.gov

Version History

Version Modification Description Updated Date

Folder 47736 Full Announcement-1 -> announcement.pdf

Packages

Agency Contact Information: FAITH GRAVES
Contract Specialist
Phone 703-648-7356
Email: fgraves@usgs.gov
Who Can Apply: Organization Applicants

Assistance Listing Number Competition ID Competition Title Opportunity Package ID Opening Date Closing Date Actions
15.808 09HQPA0039 Cooperative Ecosystem Studies Unit, Rocky Mountain CESU PKG00012419 Jun 02, 2009 Jun 11, 2009 View

Package 1

Mandatory forms

47736 SF424-2.0.pdf

47736 Project-1.1.pdf

47736 SF424B-1.1.pdf

47736 SF424A-1.0.pdf

2025-07-10T11:33:27-05:00

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