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| Format: | Recurso digital |
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Zenodo
2025
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| Online-Zugang: | https://doi.org/10.5281/zenodo.15592062 |
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Inhaltsangabe:
- <p><strong>Data used by</strong></p> <p><span><span>Marian </span><span>Schönauer</span><span>, </span></span><span><span>Christoph </span><span>Pucher</span><span>, </span></span><span><span>Jan </span><span>Altman</span><span>, </span></span><span><span>Josef </span><span>Weißbacher</span><span>, </span></span><span><span>Lars </span><span>Sprengel, </span></span><span><span>Boris </span><span>Rewald</span><span> (2025), </span></span>Agricultural and Forest Meteorology, DOI: 10.1016/j.agrformet.2025.110679</p> <p><strong>Abstract</strong></p> <p>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.</p> <p>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, CO<sub>2</sub> 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.</p> <p>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. CO<sub>2</sub> 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 specific species.</p> <p>Our findings confirm that ERA5-Land is a reliable alternative for modeling tree growth, offering 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.</p>