Long-term summer sunshine/moisture stress reconstruction from tree-ring widths from Bosnia and Herzegovina

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Abstract

We present the first summer sunshine reconstruction from tree-ring data for the western part of the Balkan Peninsula. Summer sunshine is tightly connected with moisture stress in trees, because the moisture stress and therefore the width of annual tree-rings is under the influence of the direct and interactive effects of sunshine duration (temperature, precipitation, cloud cover and evapotranspiration). The reconstruction is based on a calibrated z-scored mean chronology, calculated from tree-ring width measurements from 7 representative black pine (Pinus nigra Arnold) sites in Bosnia and Herzegovina (BiH). A combined regression and scaling approach was used for the reconstruction of the summer sunshine. We found a significant negative correlation (r Combining double low line −0.54, p < 0.0001) with mean June-July sunshine hours from Osijek meteorological station (Croatia). The developed model was used for reconstruction of summer sunshine for the time period 1660-2010. We identified extreme summer events and compared them to available documentary historical sources of drought, volcanic eruptions and other reconstructions from the broader region. All extreme summers with low sunshine hours (1712, 1810, 1815, 1843, 1899 and 1966) are connected with volcanic eruptions. © Author(s) 2013.

Figures

  • Fig. 1. Sampled sites, distributed along Dinaric mountains; Šator (SAT), Šipovo (SIP), Prusac (PRU), Blace (BLA), Peručica (PER), Konjuh (KON) and Krivaja (KRI), with meteorological station Osijek.
  • Table 1. General characteristics of sampled sites and number of trees sampled (n) in Bosnia and Herzegovina.
  • Fig. 2. Correlation coefficients (columns) between standardised chronology (average of seven site chronologies) and climate data from Bjelašnica weather station; precipitation with light grey, temperature with dark grey and sunshine hours with white columns (Osijek weather station). Columns with pattern represent significant value (95 %).
  • Table 2. Correlation values (Pearson’s r) between the TRW series (individual site chronology and average, calculated as simple mean of all sites) over the calibration (upper triangle-period of measured sunshine data) and in the remainder of the common period (lower triangle-period before the measured sunshine data). No statistically significant differences were discovered between any of the pairs of correlation coefficients (z-test for two correlation coefficients).
  • Fig. 4. Time series plots of measured (solid grey line) and reconstructed mean June–July sunshine hours for the calibration and verification periods of the split sample procedure (solid and dashed black line).
  • Fig. 3. Correlation values (p < 0.05) between weighted-TRW indices and mean June–July CRU Palmer Drought Severity Index (scPDSI), calculated in KNMI explorer (van Oldenborgh, 1999).
  • Table 3. Statistics of calibration/verification procedure between the P. nigra weighted mean chronology and mean June–July sunshine hours; RE – reduction of error; CE – coefficient of efficiency; r2 – squared regression coefficient or explained variance.
  • Table 4. List of years with extreme summers, aligned from the years with the highest standard deviation (SD) from the mean to years, closer to mean value. Event years in bold are common to results from other studies, see Table 5.

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APA

Poljanšek, S., Ceglar, A., & Levanič, T. (2013). Long-term summer sunshine/moisture stress reconstruction from tree-ring widths from Bosnia and Herzegovina. Climate of the Past, 9(1), 27–40. https://doi.org/10.5194/cp-9-27-2013

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