Shorea Robusta Tree Measurements for Volume Model Sample Size Study

Tree-level biometric measurements for Shorea robusta (Sal) in Western Nepal, used to assess sample size requirements for developing volume models. The dataset includes variables like diameter at breast height (DBH), total tree height, and stem diameters. It was created by Anita Bhurtel and last updated in April 2026.

Use Cases

• Determine optimal sample size for volume model development using simulation-based approaches on DBH and tree height data.
• Analyze the relationship between diameter at breast height (DBH) and stem diameters at different heights for taper modeling.
• Validate existing volume equations for Shorea robusta using field-measured biometric variables.
• Assess the statistical power of different sampling designs for forest inventory based on key tree measurements.

Strengths

• Includes key biometric variables like DBH and total tree height essential for volume modeling.
• Dataset is openly licensed under CC-BY-4.0 for reuse.

Limitations

• Dataset size is 180.8 KB, indicating a limited scope and likely a small number of tree records.
• Geographic coverage is restricted to Western Nepal, limiting generalizability to other regions.

Provenance

Source

Anita Bhurtel via figshare.

Collection Method

Tree-level field measurements collected for research on sample size requirements.

Freshness

Last updated in April 2026.

Geography

Western Nepal.