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

Author:

Khudykh Timofey A.1,Belokopytova Liliana V.12ORCID,Yang Bao3ORCID,Kholdaenko Yulia A.12,Babushkina Elena A.12ORCID,Vaganov Eugene A.14

Affiliation:

1. Institute of Ecology and Geography, Siberian Federal University, 660041 Krasnoyarsk, Russia

2. Khakass Technical Institute, Siberian Federal University, 655017 Abakan, Russia

3. School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China

4. Department of Dendroecology, V.N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, 660036 Krasnoyarsk, Russia

Abstract

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.

Funder

Russian Science Foundation

National Natural Science Foundation of China

Publisher

MDPI AG

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