Evidence map›Paper›PMID 42153536›Full record

ArticleTree physiology2026

Frequency-dependent climate sensitivity of sub-daily radial growth of tree stems at the dry Arctic treeline.

Jan Tumajer, Håkan Grudd, Hana Kuželová, Jelena Lange, Václav Treml

Abstract read
In one paragraph

Article in Tree physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jan TumajerDepartment of Physical Geography and Geoecology, Faculty of Science, Charles University, Albertov 6, Prague 12843, Czech Republic.ORCID 0000-0002-7773-7081
Håkan GruddSwedish Polar Research Secretariat, Abisko Scientific Research Station, Vetenskapens Väg 38, Abisko 981 07, Sweden.
Hana KuželováDepartment of Physical Geography and Geoecology, Faculty of Science, Charles University, Albertov 6, Prague 12843, Czech Republic.
Jelena LangeDepartment of Physical Geography and Geoecology, Faculty of Science, Charles University, Albertov 6, Prague 12843, Czech Republic.
Václav TremlDepartment of Physical Geography and Geoecology, Faculty of Science, Charles University, Albertov 6, Prague 12843, Czech Republic.

Funding

Czech Science Foundation 22-26519SCzech Science Foundation 24-11757SProgramme Johannes Amos Comenius 'P JAC' 871120Programme Johannes Amos Comenius 'P JAC' CZ.02.01.01/00/22_008/0004605Programme Johannes Amos Comenius 'P JAC' European Union's Horizon 2020
6 · The paper itself

Abstract

Radial growth of tree stems shows remarkable variability over the year but also within individual days. Understanding the frequency-dependent growth sensitivity, i.e., the shifting responses of wood formation to meteorological conditions between annual and daily temporal scales, is essential for predicting forest growth under future climates. However, this knowledge is limited for the cold Arctic margins of species distribution. To address this gap, we monitored intra-annual and sub-daily stem radius variation of Pinus sylvestris L. for 2 years using xylogenesis microsampling and dendrometers at the cold-dry treeline beyond the Arctic Circle near Abisko, Northern Sweden. Using linear statistics, cell growth modeling and wavelet transformation, we separated individual frequencies of stem oscillations, ranked their statistical importance and identified immediate and lagged meteorological drivers of stem radius increment. Radial growth of tree stems showed overlapping oscillations at annual and daily frequencies. On an annual scale, radial growth and cell production peaked during the warm summer months. However, within the summer, stem radius increment accelerated toward the cool, moist midnight hours and ceased during the day as the temperature and solar altitude increased. Accordingly, we identified two growth-optimal intervals with peak growth rates, jointly accounting for 68% of the total growth: (i) an air temperature of 8-16 °C with a vapor pressure deficit (VPD) of <0.2 kPa, and (ii) an air temperature of 4-16 °C and VPD = 0 kPa. While correlations between peak-summer growth rates and immediate temperature and VPD were negative, these correlations switched to positive when considering lagged meteorological variables preceding growth by up to 4 days. Our results suggest frequency-dependent shifts and lagged responses of radial growth to meteorological variables at the Arctic treeline, particularly for air temperature and humidity. We propose that the midday growth reduction during summer may help explain non-linear responses of northern boreal forests to recent climate warming.

Indexed as

ClimatePinus sylvestrisPlant StemsTreesArctic RegionsSeasonsSwedenTemperatureboreal forestcambial activitydendrometerphenologyPinus sylvestriswood formationxylogenesis

Identifiers

PMID42153536
PMCPMC13330539

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.