Acacia Koa Tree Growth and Biomass Yield Model for Hawaii

Hawaii-specific data and models for predicting the growth and biomass yield of individual Acacia koa trees. The 89.4 MB dataset includes prediction functions, a wall-to-wall Biomass Yield Index raster, and supporting code. It was authored by Aaron Weiskittel and last updated on April 11, 2026.

Use Cases

• Predicting individual tree growth based on the provided growth and yield model.
• Mapping biomass yield potential across landscapes using the included raster data.
• Calibrating or validating other forest models with the provided equations and data.

Strengths

• Includes a wall-to-wall Biomass Yield Index raster for spatial analysis.
• Provides both data and executable R code for model implementation.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Aaron Weiskittel via figshare.

Collection Method

Data and model supporting an individual-tree growth and yield model.

Freshness

Last updated 2026-04-11 16:43:38; freshness should be verified.

Geography

Hawaii