Lang Wong developed a dataset evaluating multi-objective thinning prescriptions for the Wetzin'kwa Community Forest in British Columbia. Individual trees were segmented from LiDAR data at 25 points per square meter, and four thinning scenarios were simulated using the Forest Vegetation Simulator. The study, last updated in May 2026, demonstrates how precision forestry tools can balance timber production with ecological and cultural values.
Use Cases
- Simulating forest growth and yield outcomes based on LiDAR-derived stand models.
- Evaluating trade-offs between merchantable timber volume and ecological benefits like ungulate habitat or wildfire risk reduction.
- Developing operational thinning prescriptions that balance multiple management objectives.
- Assessing the application of precision forestry tools for practical, cost-effective forest management.
Strengths
- LiDAR data was captured at a high resolution of 25 points per square meter.
- Simulations provide specific merchantable volume outcomes, such as 654-664 m³/ha for light thinning.
- Findings are grounded in a literature review linking thinning intensity (25-50%) to ecological outcomes.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The description notes a mismatch between fine-scale model precision and coarser operational guidelines.
Provenance
- Source
- Borealis Harvested Dataverse
- Collection Method
- Individual trees segmented from LiDAR data; thinning scenarios simulated with Forest Vegetation Simulator.
- Freshness
- Last updated 2026-05-02 04:11:20; freshness should be verified.
- Geography
- Wetzin'kwa Community Forest, British Columbia