The Northern Rocky Mountain Science Center (NOROCK) is offering this grant to develop quantitative models. This grant aims to explain blister rust infection, mountain pine beetle mortality, and juvenile whitebark pine recruitment in the Greater Yellowstone Ecosystem. The purpose is to understand implications for forest regeneration. The project will use spatial regression models with explicit covariates at both stand and tree levels. Model comparison tools, such as Akaike Information Criterion (AIC), will select the most parsimonious models, employing an information-theoretic approach rather than classical null hypothesis testing for robust data analysis.
Opportunity ID: 48476
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | 09HQPA0054 |
| 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: | Jul 15, 2009 |
| Last Updated Date: | – |
| Original Closing Date for Applications: | Jul 27, 2009 |
| Current Closing Date for Applications: | Jul 27, 2009 |
| Archive Date: | Aug 26, 2009 |
| Estimated Total Program Funding: | $20,000 |
| 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 develop quantitative models that best explain the distribution and abundance of blister rust infection and mountain pine beetle mortality in whitebark pine within the Greater Yellowstone Ecosystem. In addition, to develop quantitative models that best explain recruitment rates of juvenile whitebark pine within existing stands of mature whitebark pine and the implications for forest regeneration. The intent is to explore the rate of blister rust infection and mountain pine beetle mortality in the Greater Yellowstone Ecosystem using spatial regression models and a suite of spatially explicit covariates. To use model comparison tools based on information criteria (e.g., Akaike Information Criterion AIC) to select the most parsimonious models. If necessary, model averaging methodology, also based on AIC, may need to be used. Similar models and covariates will also be used to best explain stem densities of juvenile trees within existing stands. The Center will be consulted to develop a set of a priori models to be tested regarding blister rust infection rates, mountain pine beetle mortality, and whitebark pine recruitment. As a necessity, analyses will be conducted at both the stand and tree level. Stand level covariates will include: Slope, elevation, aspect, latitude, longitude, a measure of solar radiation (Keating et al, 2006), habitat type (Steele et al 1983), stem density, basal area, and the presence (absence) of blister rust or mountain pine beetle in the stand. Individual tree covariates will include: Diameter at breast height, level of rust infection recorded, number of stems in a tree cluster (multiple stem growth is a common form of whitebark pine), height class, live canopy volume, and general health (categorical). Use the information-theoretic approach (Burnham and Anderson 1998, 2002) instead of classical null hypothesis testing. This new paradigm of data analysis is based on the Kullback-Leibler information that avoids many fundamental limitations of null hypothesis testing. |
| 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 |
|---|---|---|
Related Documents
Folder 48476 Full Announcement-1 -> full 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 | 09HQPA0054 | Cooperative Ecosystem Studies Unit, Rocky Mountain CESU | PKG00013086 | Jul 15, 2009 | Jul 27, 2009 | View |
Package 1
Mandatory forms
48476 SF424-2.0.pdf
48476 Project-1.1.pdf
48476 SF424B-1.1.pdf
48476 SF424A-1.0.pdf
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