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Field methods for above and belowground biomass estimation in plantation forests
Trinh Huynh1,2, David J Lee1, Grahame Applegate1
1Forest Research Institute, University of the Sunshine Coast, Maroochydore Dc, Queensland, Australia.
Methodsx
|January 1, 2021
Summary
This study presents a cost-effective destructive sampling method to accurately estimate above and belowground biomass in plantation-grown Corymbia citriodora. The developed methodology ensures consistent biomass data collection for eucalypt forests.
Area of Science:
- Forestry Science
- Ecology
- Biomass Estimation
Background:
- Accurate biomass estimation is crucial for sustainable forest management and carbon accounting.
- Existing methods for biomass quantification in plantation forests can be labor-intensive and costly.
- Need for standardized, practical methodologies for diverse forest types.
Purpose of the Study:
- To describe a practical and cost-effective destructive sampling method for estimating above and belowground biomass.
- To provide detailed procedures for consistent biomass data collection in plantation forests.
- To develop allometric relationships for predicting individual tree biomass.
Main Methods:
- Detailed methodology for selecting sample trees and weighing components in the field.
- Techniques for excavating root systems and obtaining fresh weights.
- Laboratory analysis of components to determine oven-dry weights for biomass calculation.
Main Results:
- Development of a streamlined data collection process integrating field and laboratory measurements.
- Accurate quantification of above and belowground biomass for Corymbia citriodora.
- Identification of measured variables essential for developing robust allometric relationships.
Conclusions:
- The described destructive sampling method is practical and cost-effective for plantation eucalypts.
- The methodology facilitates consistent biomass data collection for 18-20-year-old plantation forests.
- Procedures are adaptable for other eucalypt species, native forests, and international applications.

