The Reconstruction the Past Climate based on Temperature Pattern Changes from Tree Rings on Oak Habitats in Golestan Province

Trees can record the long-term effects of climate variables. With the help of dendroclimatology knowledge, these variables can be reconstructed, especially for areas with short-term climatic data. For this purpose, in this study, six forestry plans were selected by using the thickness of Iranian oak tree rings in Golestan province. Then, using a multivariate surface response regression analysis in the STATISTICA software environment, different temperature components (including monthly, maximum average, and minimum average) of 15 meteorological stations for the growing period from April to September were reconstructed. The research findings showed that the temperature variations in the growing season over the past 170 years in Golestan province have been characterized by six major oscillatory cycles. Also, according to the results of the present study, it was found that the recent 40-year period (1971 to 2011) has had significant changes in the mean and median temperature compared to the former three 40-year periods.