Wood Density Measurements for European Forest Species Biomass Modeling

74,149 wood-density measurements and associated covariates support linear models of wood-density variation. Henri Cuny published this dataset on figshare in April 2026. The data underpins research on drivers and implications for multiscale biomass and carbon assessment in France.

Use Cases

• Predict wood density from species and environmental covariates using linear regression on 74,149 measurements.
• Analyze drivers of wood-density variation across different European forest species and sites.
• Calibrate multiscale biomass assessment models for French forests using measured wood-density values.
• Estimate carbon stock in forest stands by integrating wood-density measurements with forest inventory data.

Strengths

• 74,149 individual wood-density measurements provide a substantial sample size for modeling.
• Dataset includes associated covariates for building explanatory models of variation.
• Published under a permissive CC-BY-4.0 license for open reuse.

Limitations

• Specific column names and data types are unknown, complicating initial analysis.
• The 23.9 MB file size suggests a small to medium-scale dataset, potentially limiting complex model training.
• Geographic coverage is focused on France, limiting generalizability to other regions without validation.

Provenance

Source

Henri Cuny via figshare.

Collection Method

Collection of wood-density measurements and associated covariates for model building.

Freshness

Last updated April 2026.

Geography

France, with relevance to European forest species.