KFU. Card publication. Comparative Analysis of Tracheidograms Based on Automatically Detected Parameters of Scots Pine Cells (Pinus sylvestris L.) from Sredniy Island, Keret Archipelago, White Sea

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COMPARATIVE ANALYSIS OF TRACHEIDOGRAMS BASED ON AUTOMATICALLY DETECTED PARAMETERS OF SCOTS PINE CELLS (PINUS SYLVESTRIS L.) FROM SREDNIY ISLAND, KERET ARCHIPELAGO, WHITE SEA

Form of presentation

Articles in Russian journals and collections

Year of publication

2025

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Authors, employees of KFU

Chizhikova Nelli Aleksandrovna, author

Bibliographic description in the original language

Lozhkin, G.I. Comparative Analysis of Tracheidograms Based on Automatically Detected Parameters of Scots Pine Cells (Pinus sylvestris L.) from Sredniy Island, Keret Archipelago, White Sea / G.I. Lozhkin, D.V. Tishin, N.A. Chizhikova // Contemporary Problem Ecology - 2025. - Vol. 18(4), - p. 473–483.

Annotation

Contemporary Problem Ecology

Keywords

tracheidogram xylogenesis Scots pine White Sea OpenCV

The name of the journal

Contemporary Problem Ecology

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=320960&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Chizhikova Nelli Aleksandrovna	ru_RU
dc.date.accessioned	2025-01-01T00:00:00Z	ru_RU
dc.date.available	2025-01-01T00:00:00Z	ru_RU
dc.date.issued	2025	ru_RU
dc.identifier.citation	Lozhkin, G.I. Comparative Analysis of Tracheidograms Based on Automatically Detected Parameters of Scots Pine Cells (Pinus sylvestris L.) from Sredniy Island, Keret Archipelago, White Sea / G.I. Lozhkin, D.V. Tishin, N.A. Chizhikova // Contemporary Problem Ecology - 2025. - Vol. 18(4), - p. 473–483.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=320960&p_lang=2	ru_RU
dc.description.abstract	Contemporary Problem Ecology	ru_RU
dc.description.abstract	CIntra-annual climate variations and their effects on radial tree growth have received increasing attention in recent decades. Tracheidograms have been widely used for analyzing xylem cell parameters within one year. This paper describes steps for creating tracheidograms based on high-resolution images using edge detection methods through artificial neural networks (ANNs), computer vision library (OpenCV), and tracheidogram libraries (RAPTOR and tracheideR). To identify the climate-related features of the intra-annual xylem growth of Scots pine Pinus sylvestris L. on Sredniy Island, Keret Archipelago, White Sea, we have determined the parameters of 43 754 xylem cells for seven trees; 23 091 of these cells have been grouped into radial files for the period from 2009 to 2018. Areas under the tracheidogram curves of different xylem cell parameters (lumen radial diameter, lumen perimeter, cell wall thickness, lumen area, ratio of lumen diameter to cell wall thickness, and ratio of lumen area to lumen perimeter) have been calculated as an integral metric of annual ring structure. Pearson's correlation coefficient has been estimated between these metrics and average temperature and precipitation from May to August. The strongest identified relationships were as follows: the inverse relationship between the amount of precipitation and cell wall thickness, the direct relationship between temperature and cell wall thickness, and the inverse relationship between temperature and lumen size.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Comparative Analysis of Tracheidograms Based on Automatically Detected Parameters of Scots Pine Cells (Pinus sylvestris L.) from Sredniy Island, Keret Archipelago, White Sea	ru_RU
dc.type	Articles in Russian journals and collections	ru_RU