Opportunity ID: 328708

General Information

Document Type: Grants Notice
Funding Opportunity Number: G20AS00141
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: Aug 18, 2020
Last Updated Date: Aug 18, 2020
Original Closing Date for Applications: Sep 11, 2020
Current Closing Date for Applications: Sep 11, 2020
Archive Date: Nov 18, 2020
Estimated Total Program Funding: $40,466
Award Ceiling: $40,466
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 Mountains Cooperative Ecosystem Studies Unit (CESU)
Program.

Additional Information

Agency Name: Geological Survey
Description: The USGS is offering a funding opportunity to a CESU
partner for developing research to
assess the vulnerability of species to environmental
change is an important management challenge, particularly
for poorly studied species for which species status
assessments are required. Agencies such as the Fish and
Wildlife Service are tasked with assessing species
sensitivities to environmental conditions, their exposure
to, and ability to adapt to changing conditions. Yet,
defensible assessments currently require detailed
knowledge of species-specific traits and ecologies and
this information is hard to come by. Vulnerability
assessments for lesser-studied species can be extremely
challenging. Most vulnerability assessment methods and
frameworks are developed using well-studied species and
their applicability to species with poorly understood
traits and ecologies is questionable. Advances in
machine learning and statistical clustering can provide
new ways of simply and defensibly assessing sensitivity
and adaptive capacity for priority species. A predictive
model and associated classification tree can provide an
accessible, transparent, and repeatable means of the
vulnerability for lesser studied species, lessening the
research burden of agencies and staff.
Link to Additional Information: https://www.grants.gov/
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

Faith Graves 703-648-7356
fgraves@usgs.gov
Email:fgraves@usgs.gov

Version History

Version Modification Description Updated Date

Folder 328708 Full Announcement-FUNDING OPPORTUNITY -> FUNDING OPPORTUNITY.pdf

Packages

Agency Contact Information: Faith Graves 703-648-7356
fgraves@usgs.gov
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 G20AS00141 Cooperative Ecosystem Studies Unit, Rocky Mountain CESU PKG00263067 Aug 18, 2020 Sep 11, 2020 View

Package 1

Mandatory forms

328708 SF424_3_0-3.0.pdf

328708 ProjectNarrativeAttachments_1_2-1.2.pdf

328708 SF424A-1.0.pdf

328708 SF424B-1.1.pdf

2025-07-10T14:19:31-05:00

Share This Post, Choose Your Platform!

About the Author: