Cooperative Ecosystem Studies Unit, Chesapeake Watershed CESU
Sector: Government • Location: United States of America
Source: Grants.gov
The U.S. Geological Survey, Columbia Environmental Research Center (CERC) is offering a funding opportunity to a CESU partner for research that examines the impacts of ambient noise on the ability of invasive Asian carp to detect and respond to certain sounds.This research is for expert participation in on-going research studying the use of sound to repel, attract, and herd (i.e., control) invasiv
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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 U.S. Geological Survey, Columbia Environmental Research Center (CERC) is offering a funding opportunity to a CESU partner for research that examines the impacts of ambient noise on the ability of invasive Asian carp to detect and respond to certain sounds.This research is for expert participation in on-going research studying the use of sound to repel, attract, and herd (i.e., control) invasive Asian carp. CERC has conducted research on Asian carp for more than a decade, leading research initiatives in the use of state-of-the-art technologies. Recently, underwater sound has been considered as a potential method for Asian carp control and CERC has been on the forefront in researching this new method. As these technologies are further developed and refined, this will be deployed into the natural environment. This task is to solicit expert researchers in assisting with investigating how Asian carp may respond to sounds in natural environments. |
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 |
