Carbon Stock Calculation Using Allometric Equations

The patent introduces intermediary models (allometric equations and growth coefficients) that mediate between available forest inventory data and the target carbon stock calculation. These models serve as intermediaries to bridge the gap when direct measurement data is insufficient, allowing accurate estimation without requiring complete actual measurement data for all forest parameters.

The patent transforms the calculation approach by changing from direct measurement-based parameters to model-based parameters. By using allometric equations that relate measurable parameters (like diameter at breast height and tree height) to unmeasured parameters (carbon stock), the system can accurately calculate carbon stock by changing the parameter transformation method rather than relying solely on direct measurements.

The patent makes the calculation system universal by incorporating multiple approaches (actual measurement method and allometric equation method) that can be applied across different forest types and conditions. The system automatically selects the appropriate method based on data availability, making it universally applicable while maintaining both ease of operation and measurement precision through adaptive methodology.

The system incorporates feedback mechanisms by comparing results from different calculation methods and adjusting the approach based on data quality and availability. When actual measurement data is available, the system uses direct measurement; when not available, it switches to allometric equations, creating a feedback-driven selection process that maintains accuracy while ensuring ease of operation.

The patent applies preliminary action by calculating carbon stock changes before and after forestry projects are implemented. By performing baseline carbon stock assessments before management interventions and comparing them with post-intervention measurements, the system can predict and evaluate the impact of continuous management practices on carbon storage, allowing for proactive adjustment to maintain carbon sequestration functionality.

The system replaces direct mechanical forest management monitoring with a computational model-based assessment system. Instead of physically measuring every forest parameter during each management cycle, the system uses allometric equations and growth coefficients to substitute and calculate carbon stock changes, reducing the mechanical burden of continuous field measurements while maintaining assessment reliability.