Cooperative Agreement for CESU-affiliated Partner with Great Rivers Cooperative Ecosystem Studies Unit
Sector: Power Transmission • Location: United States of America
Source: Grants.gov
The US Geological Survey is offering a funding opportunity to a CESU partner for work investigating methods for floodplain vegetation status and trends monitoring. Floodplain forests and herbaceous communities make up the majority of the natural land cover of the Upper Mississippi and Illinois River floodplains. Currently, vegetation ecologists and managers utilize a number of data sets to track
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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 | The US Geological Survey is offering a funding opportunity to a CESU partner for work investigating methods for floodplain vegetation status and trends monitoring. Floodplain forests and herbaceous communities make up the majority of the natural land cover of the Upper Mississippi and Illinois River floodplains. Currently, vegetation ecologists and managers utilize a number of data sets to track the status and trends of plant communities along the UMRS. This research is to seek a more comprehensive and efficient way to monitor the status and trends in floodplain vegetation communities across the UMRS and over the long-term. |
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 |
