A destructive sample of 45 culms (2- and 3-year old) harvested from a managed plantation in Sanya, Hainan, China was used to develop compatible biomass models. The dataset likely contains parameters and performance metrics for models predicting aboveground biomass (AGB) and its components (culm, branch, leaf) based on diameter at breast height (DBH) and total height (H). Bin Wu published the dataset on figshare under a CC-BY-4.0 license, last updated on 2026-05-22.
Use Cases
- Predicting total aboveground biomass (AGB) of Dendrocalamus brandisii based on diameter at breast height (DBH) and height (H)
- Estimating biomass partitioning into culm, branch, and leaf components using compatible Seemingly Unrelated Regression (SUR) models
- Supporting Tier-3 carbon monitoring and accounting for bamboo forest carbon sinks
- Applying developed models to climate-adaptive management of bamboo plantations under similar edaphoclimatic conditions
Strengths
- Models achieved high accuracy (R² > 0.9 for AGB and culms) as reported in the description
- Compatible SUR models reduced the discrepancy between summed components and total AGB to virtually zero
- Dataset is openly licensed (CC-BY-4.0) for reuse
Limitations
- Dataset size is 11.3 KB, indicating a very limited scope likely containing only model parameters and summary statistics
- Row count and column-level documentation are unknown; field semantics must be inferred after download
- Data is from a single managed plantation in Sanya, Hainan, which may limit generalizability
Provenance
- Source
- figshare
- Collection Method
- Destructive sampling of 45 culms from a managed plantation, with model fitting via weighted non-linear least squares and Seemingly Unrelated Regression (SUR)
- Freshness
- Last updated 2026-05-22 05:34:59; freshness should be verified
- Geography
- Sanya, Hainan, China