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Published VersionCC BY V4.0, Open Access
Journal article
Field methods for above and belowground biomass estimation in plantation forests
MethodsX, Vol.8, pp.1-12
2021
PMID: 33384949
Abstract
A practical and cost-effective destructive sampling method for estimating above and belowground biomass of Corymbia citriodora subspecies variegata grown in plantations is described. The methodology includes details on selecting sample trees, weighing tree components in the field, excavating root systems and obtaining fresh weights and laboratory analyses of components to determine oven dry weights. The development of these sampling procedures is a basic step towards successful, consistent collection of biomass data in 18-20 years old plantation forests. This methodology was developed for eucalypt hardwood timber plantations in Queensland, Australia. However, these procedures can be applied to plantations elsewhere as well as to trees in native forest environments with minor modifications. The methodology developed for field sampling of the tree components and the derivation of allometric relationships for predicting individual tree biomass (above and belowground) highlighted the following:•Accurate quantification of above and belowground biomass of eucalypts.•Description of measured variables for developing allometric relationships.•Integration of field and laboratory measurements to streamline data collection.
Details
- Title
- Field methods for above and belowground biomass estimation in plantation forests
- Authors
- Trinh Huynh (Author) - University of the Sunshine Coast, Queensland, Forest Research Institute - LegacyDavid J Lee (Author) - University of the Sunshine Coast, Queensland, Forest Industries Research CentreGrahame Applegate (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research CentreTom Lewis (Author) - University of the Sunshine Coast, Queensland, Forest Research Institute
- Publication details
- MethodsX, Vol.8, pp.1-12
- Publisher
- Elsevier BV
- Date published
- 2021
- DOI
- 10.1016/j.mex.2020.101192
- ISSN
- 2215-0161
- PMID
- 33384949
- Copyright note
- © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/ )
- Organisation Unit
- Tropical Forests and People Research Centre; University of the Sunshine Coast, Queensland; Forest Industries Research Centre; Forest Research Institute
- Language
- English
- Record Identifier
- 99498407602621
- Output Type
- Journal article
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