Data Quality Assessment Scope
Biomass values were generated using a combined approach to ensure consistency across census years:
1) Mixed‑effects model predictions
Predicted heights were used to estimate biomass for stems missing height measurements but with available diameter and wood density data.
2) Equivalent Stem Diameter (ESD) method
For stems with complete measurements (height, diameter, wood density), biomass was calculated using the ESD method based on the square‑root formula.
3) Environmental Stress method (BIOMASS package)
For plants with no height measurements in any census year, the model could not generate predictions. Biomass for these individuals was derived using the Environmental Stress parameter from the BIOMASS R package, based on site coordinates.
This combined workflow was applied to the census data for a better reliability of biomass estimates, including for the 2015 census.
Detailed information on the calculation is provided in the Additional Information Section.
Workflow and R Scripts can be found on the
tern-ep-biomass repository on bitbucket.
Data Quality Assessment Outcome
All potential outliers were assessed by researchers who collected the data and data curators. Any value that was considered to be an outlier was removed from the final dataset.