Vegetation and Aquatic Macroinvertebrate Monitoring
Sector: Consumer Products • Location: United States of America
Source: Grants.gov
The project will require six interns to conduct field work, collect data, and help manage data related to several ongoing natural resource management projects in Great Smoky Mountains National Park. Projects that four of the interns will be working on include long-term forest plot monitoring, vegetation mapping accuracy assessment, wetlands inventory, and inventory of at-risk/collectible plant pop
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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 project will require six interns to conduct field work, collect data, and help manage data related to several ongoing natural resource management projects in Great Smoky Mountains National Park. Projects that four of the interns will be working on include long-term forest plot monitoring, vegetation mapping accuracy assessment, wetlands inventory, and inventory of at-risk/collectible plant populations. Two interns will work on aquatic macroinvertebrate monitoring. Data collected will assist GRSM management efforts to protect important natural resources throughout GRSM. These data will also be informative to the scientific community, park partners, educators, and the general public. |
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 |
