Exploring high frequency densitometry calibration functions for different tree species

Wassenberg, Marc; Montwé, David; Kahle, Hans‐Peter; Spiecker, Heinrich

doi:10.1016/j.dendro.2014.07.001

Cited by 19 publications

(12 citation statements)

References 25 publications

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“…The mean density was calculated per year, tree and aspect as an arithmetic mean between the four radii that were measured. In order to convert the voltage units to real density values we used the calibration method developed by Wassenberg et al (2014).…”

Section: Sampling and Measurementsmentioning

confidence: 99%

“…The signal received by the dielectric measuring device is directly influenced by the dielectric properties of the wood sample along the radius, and the variation of the dielectric permittivity is correlated with the density variations (Schinker et al 2003). HF densitometry has been shown to perform reliable measurements of wood density (Wassenberg et al 2014;Wassenberg et al 2015b) and results compare well to X-ray densitometry (Schinker et al 2003). When compared to X-ray measurements this method provides the advantage that it is extremely fast, non-destructive and relatively inexpensive; this method was used in several dendroclimatological studies in recent years (Fan et al 2009;Bender et al 2012;Montwé et al 2014;Shchupakivskyy et al 2014;Wassenberg et al 2015a;Hackenberg et al 2015).…”

Section: Introductionmentioning

confidence: 99%

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Variability of European beech wood density as influenced by interactions between tree-ring growth and aspect

2016

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Background: Wood density is considered to be the most important predictor of wood quality but despite its importance, diffuse-porous tree species have been the subject of only a limited number of studies. The importance of European beech forests for Central Europe calls for profound research to examine the potential impact of a warmer climate on the quality of beech timber. Methods:In this study we analysed the influence of tree-ring width and tree-ring age on the wood density of beech, and whether the wood density response to these two parameters is modified by aspect. A linear mixed-effects model for wood density was constructed for mean density data measured with high frequency densitometry on stem discs from 72 beech trees sampled from two different aspects (northeast -NE and southwest -SW) of a valley in southwestern Germany.Results: Part of the variability of mean annual wood density was explained by cambial age: an increase in cambial age resulted in an increase in mean wood density. Tree-ring width and aspect had only a small influence on wood density. Wood density on the SW aspect was lower than on the NE with a difference of approximately 0.006 g/cm 3 . The between-tree variability was very high.Conclusions: The significant interaction between cambial age and aspect reflects the importance of site conditions at older tree ages: with increasing cambial age the difference between aspects becomes stronger. Our results give a better understanding of the importance of site conditions on the wood quality of beech.

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Section: Sampling and Measurementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Variability of European beech wood density as influenced by interactions between tree-ring growth and aspect

2016

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“…derived from a simulated increment HF-densitometry core using high frequency densitometry calibrated [34] dens f fresh density ( …”

Section: Definitionsmentioning

confidence: 99%

“…• C [34]. In order to simulate nondestructive sampling, density values of hypothetical increment cores were simulated (dens b ).…”

Section: Ground Truth and Density Measurementsmentioning

confidence: 99%

“…Radial density profiles were measured with high frequency densitometry [41] on each of the stem discs from breast height (1.3 m). The resulting relative density values were calibrated to basic density [34] based on complete stem discs including wood and bark. Of those density profiles either an arithmetic mean (E. fordii, P. massoniana) or a 1cm length segment at 2/3 of the radial distance from pith to bark (Q. petraea) was used as representative density for the tree [33,42].…”

Section: Ground Truth and Density Measurementsmentioning

confidence: 99%

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Non Destructive Method for Biomass Prediction Combining TLS Derived Tree Volume and Wood Density

Hackenberg

Wassenberg

Spiecker

et al. 2015

Forests

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112

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This paper presents a method for predicting the above ground leafless biomass of trees in a non destructive way. We utilize terrestrial laserscan data to predict the volume of the trees. Combining volume estimates with density measurements leads to biomass predictions. Thirty-six trees of three different species are analyzed: evergreen coniferous Pinus massoniana, evergreen broadleaved Erythrophleum fordii and leafless deciduous Quercus petraea. All scans include a large number of noise points; denoising procedures are presented in detail. Density values are considered to be a minor source of error in the method if applied to stem segments, as comparison to ground truth data reveals that prediction errors for the tree volumes are in accordance with biomass prediction errors. While tree compartments with a diameter larger than 10 cm can be modeled accurately, smaller ones, especially twigs with a diameter smaller than 4 cm, are often largely overestimated. Better prediction results could be achieved by applying a biomass expansion factor to the biomass of compartments with a diameter larger than 10 cm. With this second method the average prediction error for Q. petraea could be reduced from 33.84% overestimation to 3.56%. E. fordii results could also be improved reducing the average prediction error from −17.24% to −7.30%. Only P. massoniana results had a low prediction error of 2.75% utilizing the total TLS-estimated volume, which was not improved by the biomass expansion method (3.82%).

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A generic platform for hyperspectral mapping of wood

et al. 2017

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Sustainable use is essential to guarantee future availability of wood. Structural and chemical mapping can contribute to fit-for-purpose usage, as accurate and detailed knowledge of the material enables guided utilization and optimal performance of wood. The platform presented in this paper, illustrated on poplar disks for early selection, collects data in the NIR, visual and X-ray spectrum in maximum 30 min per wood disk. Flatbed scanning proves to be a cheap and fast technique to evaluate basic physical properties such as cross-sectional area and wood density. X-ray CT scanning is used for density mapping adding information on density variation between and within disks. Chemometric modeling of infrared spectra is used to map density, tension wood and lignin content. X-ray- and NIR-based density mapping showed good correlation, although NIR-based maps do not show the same level of detail as X-ray images do due to lower resolution. Results of NIR-based hyperspectral mapping illustrate that tension wood zones were denser and contained less lignin which corresponds with the existence of the G-layer described in the literature. In all, the combination of high-end tools together with simple tools such as flatbed scanning allows for high-throughput and high-resolution quantitative mapping of some of the main properties of poplar wood. Furthermore, infrared scanning can be used to map density, tension wood and chemistry without the need for more complex, expensive and/or time-consuming methods, yet with less accuracy and lower resolution, thus being applicable as single tool for breeding selection

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Exploring high frequency densitometry calibration functions for different tree species

Cited by 19 publications

References 25 publications

Variability of European beech wood density as influenced by interactions between tree-ring growth and aspect

Variability of European beech wood density as influenced by interactions between tree-ring growth and aspect

Non Destructive Method for Biomass Prediction Combining TLS Derived Tree Volume and Wood Density

A generic platform for hyperspectral mapping of wood

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