Scots Pine Tree Structural Complexity Data from Southern Boreal Forests

Southern boreal forests in Finland contain data for 741 individual Scots pine trees from 9 sample plots with different thinning treatments. The dataset, created by Ninni Saarinen at the University of Helsinki, provides information needed to generate a box dimension metric for assessing structural complexity from terrestrial laser scanning point clouds. It can be used to characterize tree structure and assess the effects of thinning treatments.

Use Cases

• Assessing structural complexity of individual trees based on fractal analysis and box dimension metrics.
• Comparing the effects of different thinning intensities on tree structure in managed forests.
• Modeling relationships between forest management activities and tree-level structural attributes.

Strengths

• Includes data for 741 individual trees, providing a substantial sample size.
• Covers 9 distinct sample plots with controlled thinning treatments for comparative analysis.
• Based on terrestrial laser scanning, providing detailed three-dimensional information.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying processed data is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Helsinki

Collection Method

Terrestrial laser scanning (TLS) point clouds of trees.

Geography

Southern boreal forests