Forests (Mar 2022)

Regional Drought Conditions Control <i>Quercus brantii</i> Lindl. Growth within Contrasting Forest Stands in the Central Zagros Mountains, Iran

  • Ehsan Safari,
  • Hossein Moradi,
  • Andrea Seim,
  • Rasoul Yousefpour,
  • Mahsa Mirzakhani,
  • Willy Tegel,
  • Javad Soosani,
  • Hans-Peter Kahle

DOI
https://doi.org/10.3390/f13040495
Journal volume & issue
Vol. 13, no. 4
p. 495

Abstract

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The magnitude and duration of ongoing global warming affects tree growth, especially in semi-arid forest landscapes, which are typically dominated by a few adapted tree species. We investigated the effect of climatic control on the tree growth of Persian oak (Quercus brantii Lindl.), which is a dominant species in the Central Zagros Mountains of western Iran. A total of 48 stem discs was analyzed from trees at three sites, differing in local site and stand conditions (1326 to 1704 m a.s.l.), as well as the level and type of human impact (high human intervention for the silvopastoral site, moderate for the agroforestry site, and low for the forest site). We used principal component analysis (PCA) to investigate the common climatic signals of precipitation, air temperature, and drought (represented by SPEI 1 to 48 months) across the site chronologies. PC1 explains 83% of the total variance, indicating a dominant common growth response to regional climatic conditions that is independent of the local environmental conditions (i.e., forest stand density and land-use type). Growth–climate response analyses revealed that the radial growth of Q. brantii is positively affected by water availability during the growing season (r = 0.39, p < 0.01). Precipitation during April and May has played an ever-important role in oak growth in recent decades. Our study provides evidence that hydroclimatic conditions control tree-ring formation in this region, dominating the effects of topography and human impact. This finding highlights the great potential for combining historical oak samples and living trees from different forest stands in order to generate multi-centennial tree-ring-based hydroclimate reconstructions.

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