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Beyond meteorological data: Modelling tree growth with ERA5-Land

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F25%3A00640042" target="_blank" >RIV/67985939:_____/25:00640042 - isvavai.cz</a>

  • Alternative codes found

    RIV/60460709:41320/25:103160 RIV/62156489:43410/25:43927109

  • Result on the web

    <a href="https://doi.org/10.1016/j.agrformet.2025.110679" target="_blank" >https://doi.org/10.1016/j.agrformet.2025.110679</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.agrformet.2025.110679" target="_blank" >10.1016/j.agrformet.2025.110679</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Beyond meteorological data: Modelling tree growth with ERA5-Land

  • Original language description

    Forests are increasingly impacted by climate change, affecting tree growth and carbon sequestration. Tree-ring width, closely related to tree growth, is a key climate proxy, yet models describing ring width or growth often lack comprehensive environmental data. This study assesses ERA5-Land data for tree-ring width prediction compared to automatic weather station observations, emphasizing the value of extended and global climate data. We analyzed 723 site-averaged and detrended tree-ring chronologies from two broadleaved and two gymnosperm species across Europe, integrating them with ERA5-Land climate data, CO2 concentration, and a drought index (SPEI12). A subset was compared with weather station data. For modelling interannual variations of tree-ring width we used linear models to assess parameter importance. ERA5-Land and weather-station-based models performed similarly, maintaining stable correlations and consistent errors. Models based on meteorological data from weather stations highlighted SPEI12, sunshine duration, and temperature extremes, while ERA5-Land models emphasized SPEI12, dew-point temperature (humidity), and total precipitation. CO2 positively influenced the growth of gymnosperm species. ERA5-Land facilitated broader spatial analysis and incorporated additional factors like evaporation, snow cover, and soil moisture. Monthly assessments revealed the importance of parameters for each species. Our findings confirm that ERA5-Land is a reliable alternative for modeling tree growth, offering new insights into climate-vegetation interactions. The ready availability of underutilized parameters, such as air humidity, soil moisture and temperature, and runoff, enables their inclusion in future growth models. Using ERA5-Land can therefore deepen our understanding of forest responses to diverse environmental drivers on a global scale.

  • 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

    10618 - Ecology

Result continuities

  • Project

    <a href="/en/project/GA23-07533S" target="_blank" >GA23-07533S: Temperate lowland woodlands in transition: How succession, climate change, exotic organisms, and management affect different trophic levels?</a><br>

  • 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

    Agricultural and Forest Meteorology

  • ISSN

    0168-1923

  • e-ISSN

    1873-2240

  • Volume of the periodical

    372

  • Issue of the periodical within the volume

    SEP 15 2025

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    13

  • Pages from-to

    110679

  • UT code for WoS article

    001507128200001

  • EID of the result in the Scopus database

    2-s2.0-105007502699