1. Greenhouse gas emissions and removals from forest land, woodlands, urban trees, and harvested wood products in the United States, 1990-2023: Estimates and quantitative uncertainty for individual states, regional ownerships, National Forests, and Tribal ownership
- Author(s):
- Walters, Brian F.; Domke, Grant M.; Greenfield, Eric J.; Smith, James E.; Ogle, Stephen M.; Knott, Jonathan A.
2. Greenhouse gas emissions and removals from forest land and woodlands in the United States, 1990-2024: Estimates and quantitative uncertainty for individual states, regional ownerships, National Forests, and Tribal ownership
- Author(s):
- Walters, Brian F.; Domke, Grant M.; Knott, Jonathan A.; Smith, James E.; Nash, Joseph M.; Ogle, Stephen M.
3. Annual state-level Forest Inventory and Analysis database (FIADB) standard estimate tables
- Author(s):
- USDA Forest Service
4. Forest resources of the United States: 2022 appendix data tables
- Author(s):
- Oswalt, Sonja N.; Bush, Renate R.; Murray, Lara T.
5. Birch - Lakewood Laona - FRAM - ITRDB WI062
- Author(s):
- Birch, Joseph D.; Raymond, Patricia; Kern, Christel C.; McGraw, Amanda M.; Hayes, K.; Pearson, Teresa
6. Birch - Washburn Update - QURU - ITRDB WI063
- Author(s):
- Birch, Joseph D.; Raymond, Patricia; Kern, Christel C.; McGraw, Amanda M.; Hayes, K.; Pearson, Teresa
7. Long-term understory vegetation surveys under fluctuating deer densities from the Kinzua Quality Deer Cooperative, Pennsylvania
- Author(s):
- Royo, Alejandro A.; Slaughter, Mariah; Bahn, Volker
8. Greenhouse gas emissions and removals from forest land, woodlands, and urban trees in the United States, 1990-2022: Estimates and quantitative uncertainty for individual states, regional ownerships, National Forests, and Tribal Ownership
- Author(s):
- Walters, Brian F.; Domke, Grant M.; Greenfield, Eric J.; Smith, James E.; Ogle, Stephen M.
9. Ohio Hills Fire and Fire Surrogate Study: vegetation, fuels, and fire behavior
- Author(s):
- Hutchinson, Todd F.; Dickinson, Matthew B.
10. Percent tree and impervious cover for 2020 and projected in 2070 for three RPA scenarios (average, maximum and minimum) for the 2020 RPA Assessment
- Author(s):
- Greenfield, Eric J.; Nowak, David J.
U.S. Department of Agriculture