2021
DOI: 10.3389/fpls.2021.698640
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High-Resolution X-Ray Computed Tomography: A New Workflow for the Analysis of Xylogenesis and Intra-Seasonal Wood Biomass Production

Abstract: Understanding tree growth and carbon sequestration are of crucial interest to forecast the feedback of forests to climate change. To have a global understanding of the wood formation, it is necessary to develop new methodologies for xylogenesis measurements, valid across diverse wood structures and applicable to both angiosperms and gymnosperms. In this study, the authors present a new workflow to study xylogenesis using high-resolution X-ray computed tomography (HRXCT), which is generic and offers high potent… Show more

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Cited by 15 publications
(16 citation statements)
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References 41 publications
(57 reference statements)
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“…The monitoring of volume and mass variables only are potentially useful for parameterizing and verifying parsimonious wood formation models useful for regional-scale to global modeling, for example in new generations of DGVMs. Recently a new method called high-resolution X-ray computed tomography (HRXCT) is also capable of monitoring intraannual stem radial width (called “size growth” by the authors), and biomass dynamics and promises to create further such observations relevant to modeling wood formation (Lehnebach et al, 2021 ). However, whether or not all information content necessary for model validation can be retained by all these new types of observations remains unclear, as neither zone-width nor volume and mass- only data have so far been used to validate any wood formation models.…”
Section: A Review Of Wood Formation Modelsmentioning
confidence: 99%
“…The monitoring of volume and mass variables only are potentially useful for parameterizing and verifying parsimonious wood formation models useful for regional-scale to global modeling, for example in new generations of DGVMs. Recently a new method called high-resolution X-ray computed tomography (HRXCT) is also capable of monitoring intraannual stem radial width (called “size growth” by the authors), and biomass dynamics and promises to create further such observations relevant to modeling wood formation (Lehnebach et al, 2021 ). However, whether or not all information content necessary for model validation can be retained by all these new types of observations remains unclear, as neither zone-width nor volume and mass- only data have so far been used to validate any wood formation models.…”
Section: A Review Of Wood Formation Modelsmentioning
confidence: 99%
“…Radial growth involves the production of new xylem and phloem cells by the cambium and the expansion of these cells (‘growth in size’) followed by cell wall formation or maturation (‘growth in biomass’; Cuny et al, 2015 ; Lehnebach et al, 2021 ; Rathgeber et al, 2016 ). The expansion of cells leads to irreversible increase in stem diameter and is considered ‘radial growth’ in this study.…”
Section: Introductionmentioning
confidence: 99%
“…WD can be considered as an integrator of ecophysiological activity, which may provide novel and additional information on climate-growth relationships of trees compared to radial growth data (Bouriaud et al, 2004;van der Maaten et al, 2012). WD is determined by wood anatomical characteristics (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…WD is determined by wood anatomical characteristics (e.g. cell wall thickness or size and density of sap transporting vessels), which in turn are shaped by prevailing environmental conditions, and hence steered by climatic variables (van der Maaten et al, 2012). Especially for conifer trees, relationships between maximum latewood density (MXD) and summer temperature have been established and are (widely) used for climate reconstructions (Schweingruber et al, 1978;Briffa et al, 1998;Björklund et al, 2017Björklund et al, , 2019, even for periods that go back more than a thousand years in time (Esper et al, 2018;Klippel et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
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