Opportunity ID: 335229

General Information

Document Type: Grants Notice
Funding Opportunity Number: G21AS00611
Funding Opportunity Title: Cooperative Agreement for CESU-affiliated Partner with Rocky Mountain Cooperative Ecosystem Studies Unit
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Cooperative Agreement
Grant
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards:
Assistance Listings: 15.808 — U.S. Geological Survey Research and Data Collection
Cost Sharing or Matching Requirement: No
Version: Synopsis 3
Posted Date: Aug 09, 2021
Last Updated Date: Aug 16, 2021
Original Closing Date for Applications: Aug 30, 2021 Electronically submitted applications must be submitted no later than 5:00 p.m., ET, on the listed application due date.
Current Closing Date for Applications: Aug 30, 2021 Electronically submitted applications must be submitted no later than 5:00 p.m., ET, on the listed application due date.
Archive Date:
Estimated Total Program Funding:
Award Ceiling: $25,969
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 U.S. Geological Survey 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:
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

FAITH GRAVES
fgraves@usgs.gov
Email:fgraves@usgs.gov

Version History

Version Modification Description Updated Date
to change CESU to Rocky Mountain Aug 16, 2021
to change CESU to Rocky Mountain Aug 09, 2021
Aug 09, 2021

DISPLAYING: Synopsis 3

General Information

Document Type: Grants Notice
Funding Opportunity Number: G21AS00611
Funding Opportunity Title: Cooperative Agreement for CESU-affiliated Partner with Rocky Mountain Cooperative Ecosystem Studies Unit
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Cooperative Agreement
Grant
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards:
Assistance Listings: 15.808 — U.S. Geological Survey Research and Data Collection
Cost Sharing or Matching Requirement: No
Version: Synopsis 3
Posted Date: Aug 09, 2021
Last Updated Date: Aug 16, 2021
Original Closing Date for Applications: Aug 30, 2021 Electronically submitted applications must be submitted no later than 5:00 p.m., ET, on the listed application due date.
Current Closing Date for Applications: Aug 30, 2021 Electronically submitted applications must be submitted no later than 5:00 p.m., ET, on the listed application due date.
Archive Date:
Estimated Total Program Funding:
Award Ceiling: $25,969
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 U.S. Geological Survey 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:
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

FAITH GRAVES
fgraves@usgs.gov
Email:fgraves@usgs.gov

DISPLAYING: Synopsis 2

General Information

Document Type: Grants Notice
Funding Opportunity Number: G21AS00611
Funding Opportunity Title: Cooperative Agreement for CESU-affiliated Partner with Rocky Mountain Cooperative Ecosystem Studies Unit
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Cooperative Agreement
Grant
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards:
Assistance Listings: 15.808 — U.S. Geological Survey Research and Data Collection
Cost Sharing or Matching Requirement: No
Version: Synopsis 2
Posted Date: Aug 09, 2021
Last Updated Date: Aug 16, 2021
Original Closing Date for Applications:
Current Closing Date for Applications: Aug 30, 2021 Electronically submitted applications must be submitted no later than 5:00 p.m., ET, on the listed application due date.
Archive Date:
Estimated Total Program Funding:
Award Ceiling: $25,969
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 Pacific Northwest Cooperative Ecosystem Studies Unit (CESU) Program. 

Additional Information

Agency Name: Geological Survey
Description: The U.S. Geological Survey 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:
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

FAITH GRAVES
fgraves@usgs.gov
Email:fgraves@usgs.gov

DISPLAYING: Synopsis 1

General Information

Document Type: Grants Notice
Funding Opportunity Number: G21AS00611
Funding Opportunity Title: Cooperative Agreement for CESU-affiliated Partner with Pacific Northwest Cooperative Ecosystem Studies Unit
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Cooperative Agreement
Grant
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards:
Assistance Listings: 15.808 — U.S. Geological Survey Research and Data Collection
Cost Sharing or Matching Requirement: No
Version: Synopsis 1
Posted Date: Aug 09, 2021
Last Updated Date: Aug 09, 2021
Original Closing Date for Applications:
Current Closing Date for Applications: Aug 30, 2021 Electronically submitted applications must be submitted no later than 5:00 p.m., ET, on the listed application due date.
Archive Date:
Estimated Total Program Funding:
Award Ceiling: $25,969
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 Pacific Northwest Cooperative Ecosystem Studies Unit (CESU) Program.
 

Additional Information

Agency Name: Geological Survey
Description: The U.S. Geological Survey 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:
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

FAITH GRAVES
fgraves@usgs.gov
Email:fgraves@usgs.gov

Folder 335229 Full Announcement-Full Announcement -> Funding Opportunity.pdf

Packages

Agency Contact Information: FAITH GRAVES
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 G21AS00611 Cooperative Agreement for CESU-affiliated Partner with Rocky Mountain Cooperative Ecosystem Studies Unit PKG00268512 Aug 09, 2021 Aug 30, 2021 View

Package 1

Mandatory forms

335229 SF424_3_0-3.0.pdf

335229 ProjectNarrativeAttachments_1_2-1.2.pdf

335229 SF424A-1.0.pdf

335229 SF424B-1.1.pdf

2025-07-11T16:53:44-05:00

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