Abstract

Key messageStump-to-tip trends in basic wood density complicate the conversion of tree volume into aboveground biomass. We use 3D tree models from terrestrial laser scanning to obtain tree-level volume-weighted wood density.Terrestrial laser scanning (TLS) is used to generate realistic 3D tree models that enable a non-destructive way of quantifying tree volume. An accurate value for basic wood density is required to convert tree volume into aboveground biomass (AGB) for forest carbon assessments. However, basic density is characterised by high inter-, intra-species and within-tree variability and a likely source of error in TLS-derived biomass estimates. Here, 31 adult trees of 4 important European timber species (Fagus sylvatica, Larix decidua, Pinus sylvestris, Fraxinus excelsior) were scanned using TLS and then felled for several basic wood density measurements. We derived a reference volume-weighted basic density (ρw) by combining volume from 3D tree models with destructively assessed vertical density profiles. We compared this to basic density retrieved from a single basal disc over bark (ρbd), two perpendicular pith-to-bark increment cores at breast height (ρic), and sourcing the best available local basic wood density from publications. Stump-to-tip trends in basic wood density caused site-average woody AGB estimation biases ranging from −3.3 to + 7.8% when using ρbd and from −4.1 to + 11.8% when using ρic. Basic wood density from publications was in general a bad predictor for ρw as the bias ranged from −3.2 to + 17.2%, with little consistency across different density repositories. Overall, our density-attributed biases were similar to several recently reported biases in TLS-derived tree volume, leading to potentially large compound errors in biomass assessments with TLS if patterns of vertical basic wood density variation are not properly accounted for.

Highlights

  • One of the main challenges in estimating forest carbon stocks is to reliably quantify the aboveground biomass (AGB) of standing trees

  • We focus on the errors on the site-level Terrestrial laser scanning (TLS)-derived AGB estimations emanating from within-tree vertical basic wood density variation

  • Whereas Global Wood Density Database (GWDD) has aided biomass inventories in the tropics substantially, our study shows that it is of limited use for converting TLS-derived tree volume into biomass for European tree species

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Summary

Introduction

One of the main challenges in estimating forest carbon stocks is to reliably quantify the aboveground biomass (AGB) of standing trees. Practically measurable tree properties such as tree diameter and height are collected in forest inventories, and used in allometric scaling equations (ASEs) to estimate volume and AGB. Terrestrial laser scanning (TLS) is an alternative technique for estimating the standing volume of individual trees. Various modelling techniques have been developed to realistically reconstruct the shape of trees from point cloud data (Pfeifer et al 2004; Dassot et al 2012; Hosoi et al 2013; Raumonen et al 2013; Hackenberg et al 2015a), from which total tree volume can be derived. The envisaged further developments in scanning technology and point cloud processing algorithms have the potential to provide massivescale reliable tree volume data

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