A long-term drought reconstruction based on oxygen isotope tree ring data for central and eastern parts of Europe (Romania)
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| Publicado en: | Biogeosciences vol. 22, no. 1 (2025), p. 55 |
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| 024 | 7 | |a 10.5194/bg-22-55-2025 |2 doi | |
| 035 | |a 3152007172 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 123618 |2 nlm | ||
| 100 | 1 | |a Nagavciuc, Viorica |u Paleoclimate Dynamics, Alfred Wegener Institute for Polar and Marine Research, Bremerhaven 27570, Germany; Forest Biometrics Laboratory – Faculty of Forestry, “Stefan cel Mare” University of Suceava, Universităţii Street No. 13, Suceava 720229, Romania | |
| 245 | 1 | |a A long-term drought reconstruction based on oxygen isotope tree ring data for central and eastern parts of Europe (Romania) | |
| 260 | |b Copernicus GmbH |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This study investigates the relationship between oxygen isotope ratios (<inline-formula>δ18</inline-formula>O) in oak tree ring cellulose and past drought variability in Letea Forest, Romania. A <inline-formula>δ18</inline-formula>O site chronology spanning 1803–2020 was compiled from seven individual time series. <inline-formula>δ18</inline-formula>O values exhibited a significant negative correlation with moisture-related variables (cloud cover, relative humidity, and precipitation) and a positive correlation with temperature and sunshine duration. This confirms that <inline-formula>δ18</inline-formula>O from tree rings can be a good proxy for moisture availability. The strongest correlation was found between <inline-formula>δ18</inline-formula>O and the August Standardized Precipitation Evapotranspiration Index for an accumulation period of 9 months (SPEI9) for central and eastern Europe. This highlights SPEI9 as a superior indicator of drought compared to individual parameters like temperature or precipitation. Using a linear regression model, we reconstructed August SPEI9 variability for the past 200 years. The reconstruction captured interannual and decadal variations, with distinct wet and dry periods. Analysis of large-scale atmospheric circulation patterns revealed a link between high <inline-formula>δ18</inline-formula>O values (indicating dry conditions) and a high-pressure system over the North Atlantic. Conversely, low <inline-formula>δ18</inline-formula>O values (indicating wet conditions) corresponded to negative pressure anomalies over Europe. Moreover, extreme values of <inline-formula>δ18</inline-formula>O are also associated with the prevalence of a hemispheric teleconnection pattern, namely wave number 4. This <inline-formula>δ18</inline-formula>O chronology and the corresponding August SPEI9 reconstruction offer valuable tools for understanding past climate variability and its relationship with large-scale atmospheric and oceanic circulation patterns. | |
| 651 | 4 | |a Danube River | |
| 651 | 4 | |a Europe | |
| 651 | 4 | |a Romania | |
| 653 | |a Climate variability | ||
| 653 | |a Oxygen isotope ratio | ||
| 653 | |a Cellulose | ||
| 653 | |a Topography | ||
| 653 | |a Cloud cover | ||
| 653 | |a Isotope ratios | ||
| 653 | |a Precipitation | ||
| 653 | |a Drought | ||
| 653 | |a Wave number | ||
| 653 | |a Water | ||
| 653 | |a Pressure anomalies | ||
| 653 | |a Evapotranspiration | ||
| 653 | |a Trees | ||
| 653 | |a Ocean circulation patterns | ||
| 653 | |a Reconstruction | ||
| 653 | |a Climate change | ||
| 653 | |a Extreme values | ||
| 653 | |a Moisture | ||
| 653 | |a Relative humidity | ||
| 653 | |a Variability | ||
| 653 | |a Dendrochronology | ||
| 653 | |a Correlation | ||
| 653 | |a Dry periods | ||
| 653 | |a Oxygen | ||
| 653 | |a Software | ||
| 653 | |a Humidity | ||
| 653 | |a Regression models | ||
| 653 | |a Atmospheric circulation | ||
| 653 | |a Moisture availability | ||
| 653 | |a Atmospheric circulation patterns | ||
| 653 | |a Oxygen isotopes | ||
| 653 | |a Long-term changes | ||
| 653 | |a Isotopes | ||
| 653 | |a Evapotranspiration-precipitation relationships | ||
| 653 | |a Decadal variations | ||
| 653 | |a Teleconnection patterns | ||
| 653 | |a Sunshine duration | ||
| 653 | |a Tree rings | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Helle, Gerhard |u German Research Centre for Geosciences GFZ, 4.3 Climate Dynamics and Landscape Evolution, Telegrafenberg, Potsdam 14473, Germany | |
| 700 | 1 | |a Rădoane, Maria |u Forest Biometrics Laboratory – Faculty of Forestry, “Stefan cel Mare” University of Suceava, Universităţii Street No. 13, Suceava 720229, Romania | |
| 700 | 1 | |a Cătălin-Constantin Roibu |u Forest Biometrics Laboratory – Faculty of Forestry, “Stefan cel Mare” University of Suceava, Universităţii Street No. 13, Suceava 720229, Romania | |
| 700 | 1 | |a Mihai-Gabriel Cotos |u Forest Biometrics Laboratory – Faculty of Forestry, “Stefan cel Mare” University of Suceava, Universităţii Street No. 13, Suceava 720229, Romania | |
| 700 | 1 | |a Ionita, Monica |u Paleoclimate Dynamics, Alfred Wegener Institute for Polar and Marine Research, Bremerhaven 27570, Germany; Forest Biometrics Laboratory – Faculty of Forestry, “Stefan cel Mare” University of Suceava, Universităţii Street No. 13, Suceava 720229, Romania | |
| 773 | 0 | |t Biogeosciences |g vol. 22, no. 1 (2025), p. 55 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3152007172/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3152007172/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3152007172/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |