Cooperative Ecosystem Studies Unit, Rocky Mountain CESU
Sector: Advanced Electronics • Location: United States of America
Source: Grants.gov
The US Geological Survey, Northern Rocky Mountain Science Center (NOROCK), is offering a funding opportunity to collect data and analyze data to assess how different sampling designs for quantifying salmon habitat influence understanding of habitat status. The first objective will be to collect continuous field data to quantify stream habitat quality and quantify using different sampling designs.
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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 | The US Geological Survey, Northern Rocky Mountain Science Center (NOROCK), is offering a funding opportunity to collect data and analyze data to assess how different sampling designs for quantifying salmon habitat influence understanding of habitat status. The first objective will be to collect continuous field data to quantify stream habitat quality and quantify using different sampling designs. The sampling designs should include a reach-based approach and a riverscape approach using a census of stream habitat. Data collection will be field based to estimate the amount of habitat and the habitat attributes critical to Pacific salmon (e.g., substrate). The continuous habitat data should then be used in simulation approaches to statistically quantify sampling efforts needed to accurately and precisely characterize stream habitat. Simulations will be conducted across habitat metrics and at different spatial scales including individual stream and basin. |
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 |
