Cooperative Ecosystem Studies Unit, Rocky Mountain CESU
Sector: Government • Location: United States of America
Source: Grants.gov
U.S. Geological Survey¿s (USGS) Northern Rocky Mountain Science Center (NoROCK) is offering a funding opportunity to improve model- and design-based inferences for the prevalence of blister rust in the Greater Yellowstone Ecosystem (GYE). The proposed project will advance our understanding of approaches to model long-term monitoring data collected since 2004 in the GYE on whitebark pin
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | U.S. Geological Survey¿s (USGS) Northern Rocky Mountain Science Center (NoROCK) is offering a funding opportunity to improve model- and design-based inferences for the prevalence of blister rust in the Greater Yellowstone Ecosystem (GYE). The proposed project will advance our understanding of approaches to model long-term monitoring data collected since 2004 in the GYE on whitebark pine trees. Statisticians from NoROCK and cooperators will collaborate with the Greater Yellowstone Monitoring Network and Bureau of Land Management to understand resource management decision needs. In the first year of the project the cooperator will explore a Bayesian decision analysis, potential application of Bayesian multi-state model for estimating transition probabilities, or other statistical approaches that hold potential to improve the information to managers tasked with preserving this iconic species. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
