Wood Porosity: A Universal Parameter for Dendroclimatic Analysis

Описание

Тип публикации: статья из журнала

Год издания: 2025

Идентификатор DOI: 10.1134/S0012496625600150

Ключевые слова: digital wood anatomy, densitometry, image analysis, porosity, deciduous trees, conifers

Аннотация: Annual rings of conifers conventionally serve as a reliable indicator of climatic changes, whereas methods of such analyses are poorly developed for diffuse-porous species, such as the common aspen <i>Populus tremula</i> L. PiC densitometry was proposed as a new approach based on algorithmic analysis of the wood porosity distributiПоказать полностьюon across the annual ring. Scotch pine <i>Pinus sylvestris</i> L. and aspen samples were used in the study. The method included measurement of the annual ring widths, anatomical analysis of the wood microstructure, and image processing to construct porosity profiles. Basic differences in porosity dynamics were observed between the species. In pine, porosity decreased by 70% from earlywood to latewood, reflecting a seasonal reduction in water supply. In aspen, the respective change did not exceed 20%, indicating a stable water demand throughout the season. Dendroclimatic analysis showed that pine radial growth was most sensitive to May–June precipitation, while temperatures during the same period were the key factor in aspen. PiC densitometry expands the possibilities of dendrochronological studies, allowing the use of diffuse-porous species for climate reconstruction and assessment of the climate effect on the wood structure.

Ссылки на полный текст

Издание

Журнал: Doklady Biological Sciences

Выпуск журнала: Т. 523, 1

Номера страниц: 204-208

ISSN журнала: 00124966

Место издания: Moscow

Издатель: Pleiades Publishing, Ltd.

Персоны

  • Khudykh T.A. (Institute of Ecology and Geography, Siberian Federal University)
  • Belokopytova L.V. (Institute of Ecology and Geography, Siberian Federal University)
  • Babushkina E.A. (Institute of Ecology and Geography, Siberian Federal University)
  • Vaganov E.A. (Sukachev Institute of Forest, Federal Research Center Krasnoyarsk Science Center, Siberian Branch, Russian Academy of Sciences)

Вхождение в базы данных