Cooperative Agreement for CESU-affiliated Partner with Rocky Mountain Cooperative Ecosystem Studies Unit
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 Bayesian model-based inferences for bat surveys. Field methods for monitoring bat populations in the western United States consist of stationary acoustic surveys, mobile transects, and summertime colony counts. The North American Bat monitoring program (NABat) relies on th
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
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 Bayesian model-based inferences for bat surveys. Field methods for monitoring bat populations in the western United States consist of stationary acoustic surveys, mobile transects, and summertime colony counts. The North American Bat monitoring program (NABat) relies on these core data streams to inform species status and trends assessments at range-wide extents, periodically (Loeb et al. 2015). NOROCK’s research statistician was involved in conceptualizing the NABat program, developed the probabilistic master sample design underpinning the collaborative monitoring effort, continues to identify emerging statistical research and development needs for the “Bats & Stats Team”, and provides sustained programmatic guidance and direction for the NABat program. |
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 |
