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Challenges in estimating forest biomass: Use of allometric equations for three boreal tree species

  • Dingliang Xing*
  • , J. A.Colin Bergeron
  • , Kevin A. Solarik
  • , Bradley Tomm
  • , S. Ellen Macdonald
  • , John R. Spence
  • , Fangliang He
  • *Corresponding author for this work
  • University of Alberta
  • National Council for Air and Stream Improvement
  • Natural Resources Canada

Research output: Contribution to journalArticlepeer-review

Abstract

Regionally fitted allometric equations for individual trees and root-to-shoot ratio values are normally used to estimate local aboveground and belowground forest biomass, respectively. However, uncertainties arising from such applications are poorly understood. We developed equations for both aboveground and belowground biomass using destructive sampling for three dominant upland boreal tree species in northwestern Alberta, Canada. Compared with our equations, the diameter-based national equations derived for use across Canada underestimated aboveground biomass for Picea glauca (Moench) Voss but gave reasonable estimates for Populus balsamifera L. and Populus tremuloides Michx. The national equations based on both tree diameter and height overestimated aboveground biomass for the Populus species but underestimated it for Picea glauca in our study area. The approach of root-to-shoot ratio proposed by the Intergovernmental Panel on Climate Change (IPCC) overestimated belowground biomass by 16%–41%, depending on forest cover type, in comparison with our values estimated directly on site, with the greatest bias in deciduous-dominated stands. When the general allometric equations for aboveground biomass and the root-to-shoot ratio for belowground biomass were combined to estimate stand biomass, overestimation could be as high as 18% in our study area. The results of our study support the development of improved regional allometric equations for more accurate local-scale estimations. Incorporating intraspecific variation of important traits such as tree taper may be especially helpful.

Original languageEnglish
Pages (from-to)1613-1622
Number of pages10
JournalCanadian Journal of Forest Research
Volume49
Issue number12
DOIs
StatePublished - 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • EMEND (Ecosystem Management Emulating Natural Disturbance)
  • Intraspecific trait variation
  • Root-to-shoot ratio
  • Tree taper
  • Wood density

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