Contribution of Russian dendroanatomical studies to the dendrochronology since the mid-20th century

Tabakova, Kseniia A.; Arzac, Alberto; Carrer, Marco; Vaganov, Eugene A.; Kirdyanov, Alexander V.

doi:10.1016/j.dendro.2023.126128

Cited by 3 publications

(1 citation statement)

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“…Digital wood anatomy, as a new direction in the study of xylogenesis and the influence of environmental factors on the seasonal growth and structure of tree rings, uses new technologies intensively and develops software for an automated analysis of tree rings [1][2][3][4][5]. One of the important problems in digital wood anatomy is the development of fast, simple, accurate, and statistically adequate methods for primary measurements [1,6,7].…”

Section: Introductionmentioning

confidence: 99%

New Methods in Digital Wood Anatomy: The Use of Pixel-Contrast Densitometry with Example of Angiosperm Shrubs in Southern Siberia

Khudykh,

Belokopytova,

Yang

et al. 2024

Biology

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This methodological study describes the adaptation of a new method in digital wood anatomy, pixel-contrast densitometry, for angiosperm species. The new method was tested on eight species of shrubs and small trees in Southern Siberia, whose wood structure varies from ring-porous to diffuse-porous, with different spatial organizations of vessels. A two-step transformation of wood cross-section photographs by smoothing and Otsu’s classification algorithm was proposed to separate images into cell wall areas and empty spaces within (lumen) and between cells. Good synchronicity between measurements within the ring allowed us to create profiles of wood porosity (proportion of empty spaces) describing the growth ring structure and capturing inter-annual differences between rings. For longer-lived species, 14–32-year series from at least ten specimens were measured. Their analysis revealed that maximum (for all wood types), mean, and minimum porosity (for diffuse-porous wood) in the ring have common external signals, mostly independent of ring width, i.e., they can be used as ecological indicators. Further research directions include a comparison of this method with other approaches in densitometry, clarification of sample processing, and the extraction of ecologically meaningful data from wood structures.

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