Vegetation Plot Data Harvest and Analysis in Support of the U.S. National Vegetation Classification
Sector: Consumer Products • Location: United States of America
Source: Grants.gov
This project will enhance the content of the USNVC Standard through an in-depth analysis of a comprehensive database of Longleaf pine woodland plot data and will enrich the USNVC Vegetation Plot archive (Vegbank) with that plot data. With approximately 3 percent of the originally extensive (90 million acres) system still intact, the longleaf pine ecosystem is a major focus of conservation effort
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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 | This project will enhance the content of the USNVC Standard through an in-depth analysis of a comprehensive database of Longleaf pine woodland plot data and will enrich the USNVC Vegetation Plot archive (Vegbank) with that plot data. With approximately 3 percent of the originally extensive (90 million acres) system still intact, the longleaf pine ecosystem is a major focus of conservation efforts throughout the Southeastern U.S. A comprehensive understanding of the plant communities represented by these woodlands is essential for effective management and conservation. This project will provide a review and revision of the USNVC Standard at the Alliance and Association level for Longleaf Pine Woodlands of the Carolinas, Georgia, and Florida. This work will result in a formal proposal of revisions to be considered by the Ecological Society of America’s Vegetation Panel, the scientific advisory group charged by the FGDC Vegetation Subcommittee to guide the revision process. |
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 |
