4,820 individual trees were measured across four inventories between 2000 and 2015 in a 10-hectare primeval beech forest plot in Ukraine. The dataset includes species identification, diameter measurements, stem tagging, and mapping, and is complemented by a 2018 Airborne Laser Scan-derived digital elevation model. The data was aggregated by ENVIDAT and last updated in 2019.
Use Cases
- Model forest growth and mortality based on repeated diameter measurements over time.
- Analyze spatial distribution patterns of tree species based on stem mapping.
- Study temporal dynamics of a primeval beech forest ecosystem based on the multi-year inventory.
- Integrate ground-based tree data with the high-resolution digital elevation model derived from the Airborne Laser Scan.
Strengths
- 14,116 individual measurements provide a detailed longitudinal record.
- Data spans four inventories over a 15-year period (2000-2015).
- Combines ground-based tree measurements with a high-resolution digital elevation model from 2018.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Last updated 2019-01-01 00:00:00; freshness should be verified.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- ENVIDAT
- Collection Method
- Field measurements of all living and dead trees with DBH ≥ 60 mm, combined with Airborne Laser Scan.
- Time Range
- 2000 to 2015 for tree inventories, with a 2018 ALS scan.
- Freshness
- Last updated 2019-01-01 00:00:00
- Geography
- 10-hectare plot in the Uholka primeval beech forest, Ukraine.