Short-Term Effects of Moderate Severity Disturbances on Forest Canopy Structure- Derived Data
Creators
- 1. Purdue University
- 2. The University of Texas at El Paso
- 3. USDA Forest Service
- 4. University of Vermont
- 5. Harvard Forest
- 6. University of Connecticut
Description
NEON plot-level derived tables used in this study. All the derived data were openly available from The National Science Foundation's National Ecological Observatory Network (NEON).
- 01: R codes for 01) LiDAR-derived canopy metrics calculation; 02) Modelling
- 02: Input ground survey data with removed duplicate rows (tree_rm_duplicates.csv); CSV files - NEON vegestructure data (disturbance_structural_diversity_data_2022_1109_den4.csv)
All NEON’s Discrete return LiDAR point cloud (DP1.30003.001) (NEON 2021a) and Vegetation structure (DP1.10098.001) (NEON 2022) data are available on NEON data portal as follows: https://data.neonscience.org/data-products/DP1.30003.001 (https://doi.org/10.48443/6E8K-3343), and https://data.neonscience.org/data-products/DP1.10098.001/RELEASE-2022 (https://doi.org/10.48443/RE8N-TN87), respectively.
R scripts for calculating canopy metrics (Hardiman et al. 2021) are available on Environmental Data Initiative (EDI): https://doi.org/10.6073/pasta/97f8092c10aecbc62aec12557ecb52bd
Reference
- Hardiman, B.S., E.A. LaRue, J.R. Foster, R. Fahey, and J. Hatala Matthes. 2021. Forest structural diversity at NEON sites in the continuous USA that experienced recent moderate disturbance ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/97f8092c10aecbc62aec12557ecb52bd (Accessed 2023-05-24).
- NEON. 2021a. Discrete return LiDAR point cloud (DP1.30003.001). National Ecological Observatory Network (NEON). doi: https://doi.org/10.48443/6E8K-3343.
- NEON. 2022. Vegetation structure (DP1.10098.001). National Ecological Observatory Network (NEON). doi: https://doi.org/10.48443/RE8N-TN87.
Files
ModerateDisturbanceV1.zip
Files
(395.5 MB)
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