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A 250-year reconstruction of average July air temperatures (1775-2024): A key climate indicator of vegetation growth in the alpine treeline ecotone of the High Tatra Mts, Slovakia

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F25%3A00646953" target="_blank" >RIV/60077344:_____/25:00646953 - isvavai.cz</a>

  • Alternative codes found

    RIV/60076658:12310/25:43910784

  • Result on the web

    <a href="https://doi.org/10.31577/congeo.2025.55.3.4" target="_blank" >https://doi.org/10.31577/congeo.2025.55.3.4</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.31577/congeo.2025.55.3.4" target="_blank" >10.31577/congeo.2025.55.3.4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A 250-year reconstruction of average July air temperatures (1775-2024): A key climate indicator of vegetation growth in the alpine treeline ecotone of the High Tatra Mts, Slovakia

  • Original language description

    The reconstruction of historical air temperatures over the past 250 years (1775-2024) in the alpine treeline ecotone (ATE) of the High Tatra Mts, Slovakia, provides insights into long-term climate variability. As a high-elevation region sensitive to climatic fluctuations, the alpine treeline is a key indicator of environmental change. A model-based approach allows estimation of air temperature where direct measurements are lacking, offering a tool for assessing long-term climate impacts in high mountains. This study models the July monthly average air temperature (JL-Tavg) and the 10 degrees C July isotherm, a climatic threshold for vegetation growth. The regression model is based on the environmental temperature lapse rate (ETL), assuming a systematic decrease in temperature with altitude (- 0.65 degrees C per 100 m). Using air temperature data from European stations spanning 191-3109 m a.s.l., the model estimated ETL, which was then applied to reconstruct JL-Tavg and track the 10 degrees C isotherm across the Skalnata dolina ATE profile. The regression model showed a good fit between observed and predicted values, with root mean square error lower than the standard deviation of average JL-Tavg. Reconstructed data indicate that the 10 degrees C July isotherm fluctuated markedly between 1775 and 2024. The alpine treeline, defined as the elevation with zero probability of tree growth, varied from 2000 m a.s.l. during the cooler phase (1875-1974) to 2300 m a.s.l. in the warmer phase (1775-1874). Since 1975, accelerated warming has shifted this thermal boundary upward to 2400 m a.s.l., now representing the upper cold limit for alpine tree growth in the southern High Tatra Mts. Future work should integrate field monitoring, such as mapping dwarf pine above 2000 m a.s.l., to evaluate current distributional limits under ongoing warming.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Contributions to geophysics and geodesy

  • ISSN

    1338-0540

  • e-ISSN

    1338-0540

  • Volume of the periodical

    55

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    22

  • Pages from-to

    341-362

  • UT code for WoS article

    001673406700004

  • EID of the result in the Scopus database

    2-s2.0-105028262094