Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

/ P. Dyachuk, A. Arzac, P. Peresunko [et al.] // Dendrochronologia. - 2020. - Vol. 60. - Ст. 125687, DOI 10.1016/j.dendro.2020.125687. - Cited References:22. - This work was carried out on the basis of the Laboratory for integral studies of forest dynamics of Eurasia"of the Siberian Federal University [FSRZ-2020-0014], with financial support from the Ministry of Education and Science of the Russian Federation [Project 5.3508.2017/4.6, software development] and the Russian Science Foundation [Grant18-74-10048, software testing and upgrade, experiment design and paper writing]. VS appreciates the support of the Russian Science Foundation [Grant 18-14-00072, data analysis] and LE STUDIUM/Marie Skladowska-Curie Research Fellowship. . - ISSN 1125-7865. - ISSN 1612-0051РУБ Forestry + Geography, Physical

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.

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Держатели документа:
Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia.
Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Krasnoyarsk, Russia.
Siberian Fed Univ, Khakass Tech Inst, 27 Shchetinkina St, Abakan 655017, Russia.
Le Studium Loire Valley Inst Adv Studies, Orleans, France.

Доп.точки доступа:
Dyachuk, Petr; Arzac, Alberto; Peresunko, Pavel; Videnin, Sergey; Ilyin, Victor; Assaulianov, Roman; Babushkina, Elena A.; Zhirnova, Dina; Belokopytova, Liliana; Vaganov, Eugene A.; Shishov, Vladimir V.; Ministry of Education and Science of the Russian FederationMinistry of Education and Science, Russian Federation [5.3508.2017/4.6]; Russian Science FoundationRussian Science Foundation (RSF) [18-74-10048, 18-14-00072]; LE STUDIUM/Marie Skladowska-Curie Research Fellowship