Upper Midwest and Great Lakes Landscape Conservation Cooperative
Sector: Hydro • Location: United States of America
Source: Grants.gov
The U.S. Fish and Wildlife Service (Service), Midwest Region, is providing a single source grant agreement award without competition to the University of Wisconsin-Madison to explore the relationship between dam infrastructure condition with the retention, modification, or removal of these barriers to optimize fisheries conservation objectives for tributaries in the Lake Michigan basin. Researche
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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. Fish and Wildlife Service (Service), Midwest Region, is providing a single source grant agreement award without competition to the University of Wisconsin-Madison to explore the relationship between dam infrastructure condition with the retention, modification, or removal of these barriers to optimize fisheries conservation objectives for tributaries in the Lake Michigan basin. Researchers with the University of Wisconsin-Madison are uniquely qualified to do this work because they developed the optimization framework necessary to integrate dam attributes with desired fisheries objectives. They also recently completed the field collection and database development for the Lake Michigan dam attributes and currently maintain that database. Their familiarity with the modeling framework, data, and the hardware capacity provided by the University of Wisconsin-Madison makes them uniquely qualified to complete the necessary work. |
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 |
