Сибирский федеральный университет

Тип публикации: статья из журнала

Год издания: 2020

Идентификатор DOI: 10.1016/j.dendro.2020.125687

Ключевые слова: automated image analysis, cell radial file, quantitative wood anatomy, tracheidogram, tree ring

Аннотация: Quantitative wood anatomy (QWA) is a growing field of dendrochronology that allows obtaining a large number of parameters as the number, size and spatial arrangement of cellular elements, elements that highlight the adjustments of trees to their environment. In this work, we presented the free/libre open-source software AutoCellRow (ACR), a ready-to-use tool for automatic QWA in conifers. The ACR analyzes radial files of cells on cross-sections views of tree rings and provides automatic measurements of different cell parameters (e.g., lumen radial diameter, double cell wall thickness and cell radial diameter) for each cell along the selected radial file. The ACR measurements are based on high performed image analysis of xylem cells. The accuracy of the software measurements was tested in cross-sections of five conifer species from a semi-arid area of southern Siberia, and compared with measurements obtained by a semiautomatic tool. Our results suggested high accuracy in the ACR cell traits measurements, facilitating and speeding the analysis of quantitative wood anatomy in conifers over radial files of cells. © 2020 Elsevier GmbH

Журнал: Dendrochronologia

Выпуск журнала: Vol. 60

Номера страниц: 125687

ISSN журнала: 11257865

• Dyachuk P. (Siberian Federal University, 79 Svobodny pr, Krasnoyarsk, 660041, Russian Federation)
• Arzac A. (Siberian Federal University, 79 Svobodny pr, Krasnoyarsk, 660041, Russian Federation)
• Peresunko P. (Siberian Federal University, 79 Svobodny pr, Krasnoyarsk, 660041, Russian Federation)
• Videnin S. (Siberian Federal University, 79 Svobodny pr, Krasnoyarsk, 660041, Russian Federation)
• Ilyin V. (Siberian Federal University, 79 Svobodny pr, Krasnoyarsk, 660041, Russian Federation)
• Assaulianov R. (Siberian Federal University, 79 Svobodny pr, Krasnoyarsk, 660041, Russian Federation)
• Babushkina E.A. (Khakass Technical Institute, Siberian Federal University, 27 Shchetinkina St, Abakan, 655017, Russian Federation)
• Zhirnova D. (Khakass Technical Institute, Siberian Federal University, 27 Shchetinkina St, Abakan, 655017, Russian Federation)
• Belokopytova L. (Khakass Technical Institute, Siberian Federal University, 27 Shchetinkina St, Abakan, 655017, Russian Federation)
• Vaganov E.A. (Siberian Federal University, 79 Svobodny pr, Krasnoyarsk, 660041, Russian Federation, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation)
• Shishov V.V. (Siberian Federal University, 79 Svobodny pr, Krasnoyarsk, 660041, Russian Federation, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation, Le Studium Loire Valley Institute for Advanced Studies, Orleans, France)

• Scopus
• Web of Science Core Collection
• Ядро РИНЦ (eLIBRARY.RU)