The relation of seasonal pattern in stable carbon compositions to meteorological variables in the leaves of <Emphasis Type="Italic">Sabina</Emphasis><Emphasis Type="Italic">przewalskii</Emphasis> Kom. and <Emphasis Type="Italic">Sabina chinensis</Emphasis> (Lin.) Ant. |
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Authors: | Youbin Li Tuo Chen Youfu Zhang Lizhe An |
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Institution: | (1) School of Life Sciences, Lanzhou University, Lanzhou, Gansu, 730000, People’s Republic of China;(2) Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu, 730000, People’s Republic of China |
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Abstract: | The seasonal variation of foliar δ13C values in Sabina przewalskii Kom. and Sabina chinensis (Lin.) Ant. was measured. The relationships between foliar δ13C values and branch δ13C values as well as environmental factors (monthly total precipitation, monthly average air temperature, monthly average soil
temperature, monthly total solar duration, relative humidity, atmospheric pressure, vapor pressure, wind speed and potential
evaporation) were investigated. The results showed that the foliar δ13C values were negatively correlated with air pressure, and positively correlated with air temperature, precipitation, vapor
pressure, potential evaporation, solar duration, wind speed and soil temperature. No significant relationship between δ13C values and relative humidity was detected. This demonstrates that the foliar δ13C of Sabina is a successful empirical indictor of these meteorological factors within the usual range of C3 whole-leaf δ13C values. Furthermore, the δ13C signature of leaf tissue is similar to that of wood tissue and the responses of δ13C values in S.
przewalskii Kom. to environmental factors are also relatively stronger than that of S. chinensis (Lin.) Ant. These results provided strong evidence that it is feasible to extract climatic information from tree-ring δ13C series and S.
przewalskii Kom. is a dendroclimatologically promising tree species. |
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Keywords: | Sabina Carbon isotope composition Environmental factors Seasonal changes |
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