BLM-CO Assisted Succession and Assessment in Burn Scars
Sector: Commercial • Location: United States of America
Source: Grants.gov
Throughout the West, logging and burning have caused many issues in forest communities. Non-native invasive plant species take over the newly burned slash piles, creating holes in the forest floor with no tree regeneration; or, alternatively, seed mixes create a mat of grass that shades out diverse plant regeneration. Logging and leaving slash piles leads to a buildup of dangerous fuels for wildfi
Project Information FAQ
Project Information
Want to explore the full details? View the full report
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 | Throughout the West, logging and burning have caused many issues in forest communities. Non-native invasive plant species take over the newly burned slash piles, creating holes in the forest floor with no tree regeneration; or, alternatively, seed mixes create a mat of grass that shades out diverse plant regeneration. Logging and leaving slash piles leads to a buildup of dangerous fuels for wildfires, and thus are typically burned in winter to reduce fuel loads. This burning damages the soil and adversely affects the regeneration and successional patterns of the forest community. Through this funding opportunity, the BLM Colorado State Office (BLM-CO) seeks to gather information and conduct field studies for the purposes of improving processes in native plant restoration, addressing the consequences of slash pile burning, and developing techniques for soil rehabilitation. |
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 |
