Quantifying seasonal precipitation using high-resolution carbon isotope analyses in evergreen wood

Computer Science

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Scientific paper

High-resolution natural abundance stable carbon isotope analyses across annual growth rings in evergreen trees reveal a cyclic increase and decrease in the measured carbon isotopic composition (δ 13 C), but the causes of this pattern are poorly understood. We compiled new and published high-resolution δ 13 C data from across annual growth rings of 33 modern evergreen trees from 10 genera and 15 globally distributed sites to quantify the parameters that affect the observed δ 13 C pattern. Across a broad range of latitude, temperature, and precipitation regimes, we found that the average, measured seasonal change in δ 13 C (Δδ 13 C meas , ‰) within tree rings of evergreen species reflects changes in the carbon isotopic composition of atmospheric carbon dioxide (Δδ 13 C CO2 ) and changes in seasonal precipitation (Δ P ) according to the following equation: Δδ 13 C meas = Δδ 13 C CO2 - 0.82(Δ P ) + 0.73; R 2 = 0.96. Seasonal changes in temperature, pCO 2 , and light levels were not found to significantly affect Δδ 13 C meas . We propose that this relationship can be used to quantify seasonal patterns in paleoprecipitation from intra-ring profiles of δ 13 C measured from non-permineralized, fossil wood.

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