Published October 18, 2024
| Version v.1.0
Dataset
Open
Data, Analytical Code, and Model Outputs From: Restoration Treatments Enhance Tree Growth and Alter Climatic Constraints During Extreme Drought
Creators
- Rodman, Kyle C (Project leader)1
- Bradford, John B. (Project member)2, 3
- Formanack, Alicia M. (Project member)4
- Fulé, Peter Z. (Project member)5
- Huffman, David W. (Project member)1
- Kolb, Thomas E. (Project member)5
- Miller-ter Kuile, Ana T. (Project member)4, 6
- Normandin, Donald P. (Project member)1
- Ogle, Kiona (Project member)4
- Pedersen, Rory J. (Project member)1
- Schlaepfer, Daniel R. (Project member)3, 7
- Stoddard, Michael T. (Project member)1
- Waltz, Amy E.M. (Project member)1
- 1. Ecological Restoration Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA
- 2. US Geological Survey, Northwest Climate Adaptation Science Center, Seattle, WA, 98195, USA
- 3. US Geological Survey, Southwest Biological Science Center, Flagstaff, AZ, 86001, USA
- 4. School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, 86011, USA
- 5. School of Forestry, Northern Arizona University, Flagstaff, AZ, 86011, USA
- 6. USDA Forest Service, Rocky Mountain Research Station, Flagstaff, AZ, 86001, USA
- 7. Center for Adaptable Western Landscapes, Northern Arizona University, Flagstaff, AZ, 86011, USA
Description
This archive includes data (forest inventories, tree ring measurements, climate variables), statistical code, and model outputs from Rodman et al. (2024). For more information on specific information, processing methods, and data formats, see "README.md" or "README.html" files associated with this archive
Files
README.md
Additional details
Funding
- Ecological Restoration Institute Work Plan for 2022 22DG11030000012
- US Forest Service
Dates
- Accepted
-
2024-10-17Manuscript Accepted at Ecological Applications on 2024-10-17