Data and Code for: "Fire and edge disturbances persistently degrade understory forest rege

261.2 KB of R code and metadata supports a study on persistent degradation of understory forest regeneration. The workflow includes scripts for data processing, statistical analysis, and figure generation, published under a CC-BY-4.0 license by Facundo Alvarez in April 2026. Raw forest inventory and Lidar data are not included but are available upon request for academic reproduction.

Use Cases

• Reproducing statistical models for fire and edge effects based on the provided R workflow
• Analyzing forest regeneration degradation patterns in transition zones based on the described ecological models
• Adapting code for processing similar forest inventory and airborne Lidar data mentioned in the description

Strengths

• Complete R-script workflow for full reproducibility is provided
• Published under a permissive CC-BY-4.0 license
• Metadata and analytical code are explicitly shared to maintain transparency

Limitations

• Raw datasets, including species-level inventory and Lidar metrics, are not publicly hosted
• Row count and column-level documentation are unknown
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

Facundo Alvarez

Collection Method

Likely derived from species-level forest inventory and airborne Lidar surveys, as mentioned in the description.

Time Range

null

Freshness

Last updated 2026-04 08 13:34:43

Geography

Amazon-Cerrado transition zone