Author/Authors :
Zarean، Hossein نويسنده Ph. D. student of climatology, University of Isfahan, Isfahan, Iran , , Yazdanpanah، H. نويسنده Assistant professor of geography of Isfahan University, Isfahan, Iran , , Movahedi، S نويسنده Assistant professor of geography of Isfahan University, Isfahan, Iran , , Jalilvand، H نويسنده Associate professor of Agriculture and Natural Resources Faculty of Sari, Iran , , Momeni، M نويسنده Assistant professor of Engineering Faculty, University of Isfahan, Isfahan, Iran , , Yarali، N نويسنده Assistant professor of Natural Resources Faculty of Shahrekord University, ChaharMahal and Bakhtiyari, Iran ,
Abstract :
Plant species, including trees, react to environmental changes throughout their lives. One method of studying the
response of trees to climatic variables is dendroclimatology. In this study, the effect of precipitation and
temperature on annual growth of rings was investigated through extracting eighteen growth samples from 9
intact trees in Seesakht site of Dena region, located in Central Zagros Mountains (Iran). Counting and measuring
annual rings were performed applying LINTAB5 measuring device that is equipped with the TSAP software.
Time series of growth curves was standardized applying residual chronology and calibrated applying
precipitation and temperature data of Hana weather station. Analyzing chronological relationships of site with
precipitation and temperature pointed to the significant and positive impact of precipitation before growing
season and its negative impact during the growing season in some months on annual growth rings. Also,
temperatures in the months before and during the growing season had a significant and meaningful impact on the
growth of rings. It can be concluded that Quercus Persica has the greatest sensitivity to the mean and the
maximum mean of temperature at the onset of the growing season and colder months of the year. In other words,
it is more accustomed to the warmer conditions before the start of the growing season and due to its higher
sensitivity, EPS and SNR values, this species is suitable for dendroclimatology studies. Finally, a multiple
regression model was fitted on the variables.