7 research outputs found

    Comprehensive Hydrological Survey of Glukhoye Lake, a Typical Forest Lake on Kunashir Island (Kuril Islands)

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    In order to study a typical forest lake on Kunashir Island, which is Glukhoye Lake, a bathymetric mapping was conducted using a Lowrance echo sounder, during which 25 transects and 3 longitudinal tacks were measured. According to the results of bathymetric mapping, 5 points of hydrological and hydrochemical synchronous survey were carried out, within the framework of which hydrochemical indicators were measured and 9 water samples were taken for further analysis. At the same locations, 5 sediment samples were collected and described during the ground survey. Based on these studies, a comprehensive hydrological characterization of Glukhoye Lake, a typical forest lake on Kunshir Island, has been formulated. It is located in a forested area between the hills, has a shallow basin, few tributaries and slow water exchange. The lake is characterized by very little variability in hydrochemical parameters in depth and in plan. The predominance of hydrocarbonate and sodium ions is quite typical for surface water bodies of volcanic massifs. The hypothesis of a continuing close link between the lake and the ocean has not been confirmed

    A Modified Algorithm for Estimating the Radial Cell Size in the Vaganov-Shashkin Simulation Model

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    ПониманиС ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠ° формирования ΠΈ роста Π³ΠΎΠ΄ΠΈΡ‡Π½Ρ‹Ρ… ΠΊΠΎΠ»Π΅Ρ† дрСвСсных растСний ΠΏΠΎΠ΄ влияниСм Π²Π΅Π΄ΡƒΡ‰ΠΈΡ… Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² внСшнСй срСды являСтся ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· самых Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌ соврСмСнной дСндроэкологии. УскорСниС ΠΈΠ»ΠΈ Π·Π°ΠΌΠ΅Π΄Π»Π΅Π½ΠΈΠ΅ скорости роста Π΄Π΅Ρ€Π΅Π²Π° Π² ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Π΅ ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π»Ρ‹ сСзона опрСдСляСтся совмСстным влияниСм Ρ‚Π°ΠΊΠΈΡ… климатичСских Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ², ΠΊΠ°ΠΊ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π° ΠΈ Π²Π»Π°ΠΆΠ½ΠΎΡΡ‚ΡŒ ΠΏΠΎΡ‡Π²Ρ‹. Π‘ использованиСм ΠΌΠΎΠ΄ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° ΠΈΠΌΠΈΡ‚Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ роста дрСвСсных растСний Π’Π°Π³Π°Π½ΠΎΠ²Π°-Шашкина – VS-осциллографа – Π² Ρ€Π°Π±ΠΎΡ‚Π΅ модСлируСтся сСзонный рост ΠΊΠ»Π΅Ρ‚ΠΎΠΊ Π² Π³ΠΎΠ΄ΠΈΡ‡Π½ΠΎΠΌ ΠΊΠΎΠ»ΡŒΡ†Π΅. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½ Π½ΠΎΠ²Ρ‹ΠΉ матСматичСский ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ ΠΊ ΠΎΡ†Π΅Π½ΠΊΠ΅ камбиальной активности Ρ…Π²ΠΎΠΉΠ½Ρ‹Ρ… ΠΈ сСзонной ΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½ΠΎΠΉ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ†ΠΈΠΈ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ Π±Ρ‹Π» протСстирован Π½Π° ΠΎΠ±Ρ€Π°Π·Ρ†Π΅ сосны ΠΎΠ±Ρ‹ΠΊΠ½ΠΎΠ²Π΅Π½Π½ΠΎΠΉ (Pinus sylvestris L.), ΠΎΡ‚ΠΎΠ±Ρ€Π°Π½Π½ΠΎΠΌ Π² Π₯акасии, Π·Π° ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ с 1969 ΠΏΠΎ 2008 Π³Π³. Благодаря Π΄Π°Π½Π½ΠΎΠΌΡƒ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Ρƒ ΡƒΠ΄Π°Π»ΠΎΡΡŒ Ρ€Π°Π·Π΄Π΅Π»ΠΈΡ‚ΡŒ влияниС климатичСских ΠΈ нСклиматичСских Π²Π½Π΅ΡˆΠ½ΠΈΡ… Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² Π½Π° Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠ»Π΅Ρ‚ΠΎΠΊ Π² Π³ΠΎΠ΄ΠΈΡ‡Π½ΠΎΠΌ ΠΊΠΎΠ»ΡŒΡ†Π΅ дрСвСсных растСнийTo describe the mechanism of tree-ring formation in woody plants influencing by the leading environmental factors is one of the most urgent problems of modern dendroecology. Changing of the tree-ring growth rate at selected intervals in the growing season is determined by the complex influence of climatic factors (e.g. temperature and soil moisture). Using the modified algorithm of the simulation model of growth Vaganov-Shashkin – VS-oscilloscope seasonal growth of cells in tree ring is simulated in the work. New mathematical approach is developed to estimate a cambial activity and seasonal cell production of conifer species. The approach is tested on tree-ring sample of Pinus sylvestris for Khakassian region over 1969-2008. The obtained approach allows to separate a treering growth signal on two components caused by climatic and non-climatic factor

    Visual Parameterization of Vaganov-Shashkin Simulation Model and its Application in Dendroecological Research

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    Π’ Π΄Π΅Π½Π΄Ρ€ΠΎΡ…Ρ€ΠΎΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅Ρ‚ΡΡ большоС количСство Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… аналитичСских ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ΠΎΠ² для Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½Ρ‹Ρ…, ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… являСтся ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅. ΠŸΡ€ΠΈ создании любой ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· Π³Π»Π°Π²Π½Ρ‹Ρ… вопросов выступаСт Π²Ρ‹Π±ΠΎΡ€ Π³Π»Π°Π²Π½Ρ‹Ρ… Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ². Π‘Π°ΠΌΡ‹Π΅ распространСнныС ΠΈ доступныС климатичСскиС Π΄Π°Π½Π½Ρ‹Π΅ – Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π° ΠΈ осадки. На основании ΠΈΠΌΠΈΡ‚Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π’Π°Π³Π°Π½ΠΎΠ²Π°-Шашкина ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½ Π½ΠΎΠ²Ρ‹ΠΉ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ Π²ΠΈΠ·ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΈΠ·Π°Ρ†ΠΈΠΈ роста Π³ΠΎΠ΄ΠΈΡ‡Π½Ρ‹Ρ… ΠΊΠΎΠ»Π΅Ρ† Ρ…Π²ΠΎΠΉΠ½Ρ‹Ρ… Π΄Π΅Ρ€Π΅Π²ΡŒΠ΅Π², Π½Π°Π·Π²Π°Π½Π½Ρ‹ΠΉ Β«VS- осциллограф», ΠΈ описана Π΅Π³ΠΎ программная рСализация. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹ΠΉ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ Π±Ρ‹Π» Π°ΠΏΡ€ΠΎΠ±ΠΈΡ€ΠΎΠ²Π°Π½ Π½Π° Π΄Π²ΡƒΡ… ΠΏΠΎΡ€ΠΎΠ΄Π°Ρ… дрСвСсных растСний – Larix gmelini ΠΈ Picea obovata. Новый способ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΈ Π°Π½Π°Π»ΠΈΠ· ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΡƒΠ΅ΠΌΡ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‚ ΠΎΡ†Π΅Π½ΠΈΡ‚ΡŒ Π»ΠΎΠΊΠ°Π»ΡŒΠ½Ρ‹Π΅ условия произрастания дрСвСсных растСний Π½Π° основС Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ Π΄Π²ΡƒΡ… климатичСских ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ…: Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹ ΠΈ осадков, Π±Π΅Π· привлСчСния Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΎ мСстообитанииThere are many different methods and tools for data analysis in dendrochronology. Modeling is one of them. One of the main issues in modeling is a choice of the main factors. Π‘limatic data (temperature and precipitation) are the most common and affordable of them. Based on Vaganov – Shaskin model the new algorithm of visual parameterization of three-ring growth – VS-oscilloscope was developed. Algorithm was tested on different species of woody plants – Larix gmelini and Picea obovata. A new parameterization and analysis of modeling results help to evaluate conditions of area of growth of woody plants, based on dynamic of two climate variables: temperature and precipitation, without adding information about area of growt

    Visual Parameterization of Vaganov-Shashkin Simulation Model and its Application in Dendroecological Research

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    Π’ Π΄Π΅Π½Π΄Ρ€ΠΎΡ…Ρ€ΠΎΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅Ρ‚ΡΡ большоС количСство Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… аналитичСских ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ΠΎΠ² для Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½Ρ‹Ρ…, ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… являСтся ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅. ΠŸΡ€ΠΈ создании любой ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· Π³Π»Π°Π²Π½Ρ‹Ρ… вопросов выступаСт Π²Ρ‹Π±ΠΎΡ€ Π³Π»Π°Π²Π½Ρ‹Ρ… Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ². Π‘Π°ΠΌΡ‹Π΅ распространСнныС ΠΈ доступныС климатичСскиС Π΄Π°Π½Π½Ρ‹Π΅ – Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π° ΠΈ осадки. На основании ΠΈΠΌΠΈΡ‚Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π’Π°Π³Π°Π½ΠΎΠ²Π°-Шашкина ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½ Π½ΠΎΠ²Ρ‹ΠΉ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ Π²ΠΈΠ·ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΈΠ·Π°Ρ†ΠΈΠΈ роста Π³ΠΎΠ΄ΠΈΡ‡Π½Ρ‹Ρ… ΠΊΠΎΠ»Π΅Ρ† Ρ…Π²ΠΎΠΉΠ½Ρ‹Ρ… Π΄Π΅Ρ€Π΅Π²ΡŒΠ΅Π², Π½Π°Π·Π²Π°Π½Π½Ρ‹ΠΉ Β«VS- осциллограф», ΠΈ описана Π΅Π³ΠΎ программная рСализация. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹ΠΉ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ Π±Ρ‹Π» Π°ΠΏΡ€ΠΎΠ±ΠΈΡ€ΠΎΠ²Π°Π½ Π½Π° Π΄Π²ΡƒΡ… ΠΏΠΎΡ€ΠΎΠ΄Π°Ρ… дрСвСсных растСний – Larix gmelini ΠΈ Picea obovata. Новый способ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΈ Π°Π½Π°Π»ΠΈΠ· ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΡƒΠ΅ΠΌΡ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‚ ΠΎΡ†Π΅Π½ΠΈΡ‚ΡŒ Π»ΠΎΠΊΠ°Π»ΡŒΠ½Ρ‹Π΅ условия произрастания дрСвСсных растСний Π½Π° основС Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ Π΄Π²ΡƒΡ… климатичСских ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ…: Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹ ΠΈ осадков, Π±Π΅Π· привлСчСния Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΎ мСстообитанииThere are many different methods and tools for data analysis in dendrochronology. Modeling is one of them. One of the main issues in modeling is a choice of the main factors. Π‘limatic data (temperature and precipitation) are the most common and affordable of them. Based on Vaganov – Shaskin model the new algorithm of visual parameterization of three-ring growth – VS-oscilloscope was developed. Algorithm was tested on different species of woody plants – Larix gmelini and Picea obovata. A new parameterization and analysis of modeling results help to evaluate conditions of area of growth of woody plants, based on dynamic of two climate variables: temperature and precipitation, without adding information about area of growt

    A Modified Algorithm for Estimating the Radial Cell Size in the Vaganov-Shashkin Simulation Model

    No full text
    ПониманиС ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠ° формирования ΠΈ роста Π³ΠΎΠ΄ΠΈΡ‡Π½Ρ‹Ρ… ΠΊΠΎΠ»Π΅Ρ† дрСвСсных растСний ΠΏΠΎΠ΄ влияниСм Π²Π΅Π΄ΡƒΡ‰ΠΈΡ… Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² внСшнСй срСды являСтся ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· самых Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌ соврСмСнной дСндроэкологии. УскорСниС ΠΈΠ»ΠΈ Π·Π°ΠΌΠ΅Π΄Π»Π΅Π½ΠΈΠ΅ скорости роста Π΄Π΅Ρ€Π΅Π²Π° Π² ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Π΅ ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π»Ρ‹ сСзона опрСдСляСтся совмСстным влияниСм Ρ‚Π°ΠΊΠΈΡ… климатичСских Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ², ΠΊΠ°ΠΊ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π° ΠΈ Π²Π»Π°ΠΆΠ½ΠΎΡΡ‚ΡŒ ΠΏΠΎΡ‡Π²Ρ‹. Π‘ использованиСм ΠΌΠΎΠ΄ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° ΠΈΠΌΠΈΡ‚Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ роста дрСвСсных растСний Π’Π°Π³Π°Π½ΠΎΠ²Π°-Шашкина – VS-осциллографа – Π² Ρ€Π°Π±ΠΎΡ‚Π΅ модСлируСтся сСзонный рост ΠΊΠ»Π΅Ρ‚ΠΎΠΊ Π² Π³ΠΎΠ΄ΠΈΡ‡Π½ΠΎΠΌ ΠΊΠΎΠ»ΡŒΡ†Π΅. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½ Π½ΠΎΠ²Ρ‹ΠΉ матСматичСский ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ ΠΊ ΠΎΡ†Π΅Π½ΠΊΠ΅ камбиальной активности Ρ…Π²ΠΎΠΉΠ½Ρ‹Ρ… ΠΈ сСзонной ΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½ΠΎΠΉ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ†ΠΈΠΈ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ Π±Ρ‹Π» протСстирован Π½Π° ΠΎΠ±Ρ€Π°Π·Ρ†Π΅ сосны ΠΎΠ±Ρ‹ΠΊΠ½ΠΎΠ²Π΅Π½Π½ΠΎΠΉ (Pinus sylvestris L.), ΠΎΡ‚ΠΎΠ±Ρ€Π°Π½Π½ΠΎΠΌ Π² Π₯акасии, Π·Π° ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ с 1969 ΠΏΠΎ 2008 Π³Π³. Благодаря Π΄Π°Π½Π½ΠΎΠΌΡƒ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Ρƒ ΡƒΠ΄Π°Π»ΠΎΡΡŒ Ρ€Π°Π·Π΄Π΅Π»ΠΈΡ‚ΡŒ влияниС климатичСских ΠΈ нСклиматичСских Π²Π½Π΅ΡˆΠ½ΠΈΡ… Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² Π½Π° Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠ»Π΅Ρ‚ΠΎΠΊ Π² Π³ΠΎΠ΄ΠΈΡ‡Π½ΠΎΠΌ ΠΊΠΎΠ»ΡŒΡ†Π΅ дрСвСсных растСнийTo describe the mechanism of tree-ring formation in woody plants influencing by the leading environmental factors is one of the most urgent problems of modern dendroecology. Changing of the tree-ring growth rate at selected intervals in the growing season is determined by the complex influence of climatic factors (e.g. temperature and soil moisture). Using the modified algorithm of the simulation model of growth Vaganov-Shashkin – VS-oscilloscope seasonal growth of cells in tree ring is simulated in the work. New mathematical approach is developed to estimate a cambial activity and seasonal cell production of conifer species. The approach is tested on tree-ring sample of Pinus sylvestris for Khakassian region over 1969-2008. The obtained approach allows to separate a treering growth signal on two components caused by climatic and non-climatic factor

    Forward Modeling Reveals Multidecadal Trends in Cambial Kinetics and Phenology at Treeline

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    Significant alterations of cambial activity might be expected due to climate warming, leading to growing season extension and higher growth rates especially in cold-limited forests. However, assessment of climate-change-driven trends in intra-annual wood formation suffers from the lack of direct observations with a timespan exceeding a few years. We used the Vaganov-Shashkin process-based model to: (i) simulate daily resolved numbers of cambial and differentiating cells; and (ii) develop chronologies of the onset and termination of specific phases of cambial phenology during 1961–2017. We also determined the dominant climatic factor limiting cambial activity for each day. To asses intra-annual model validity, we used 8 years of direct xylogenesis monitoring from the treeline region of the KrkonoΕ‘e Mts. (Czechia). The model exhibits high validity in case of spring phenological phases and a seasonal dynamics of tracheid production, but its precision declines for estimates of autumn phenological phases and growing season duration. The simulations reveal an increasing trend in the number of tracheids produced by cambium each year by 0.42 cells/year. Spring phenological phases (onset of cambial cell growth and tracheid enlargement) show significant shifts toward earlier occurrence in the year (for 0.28–0.34 days/year). In addition, there is a significant increase in simulated growth rates during entire growing season associated with the intra-annual redistribution of the dominant climatic controls over cambial activity. Results suggest that higher growth rates at treeline are driven by (i) temperature-stimulated intensification of spring cambial kinetics, and (ii) decoupling of summer growth rates from the limiting effect of low summer temperature due to higher frequency of climatically optimal days. Our results highlight that the cambial kinetics stimulation by increasing spring and summer temperatures and shifting spring phenology determine the recent growth trends of treeline ecosystems. Redistribution of individual climatic factors controlling cambial activity during the growing season questions the temporal stability of climatic signal of cold forest chronologies under ongoing climate change
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