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

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 (δ¹³C), but the causes of this pattern are poorly understood. We compiled new and published high-resolution δ¹³C 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 δ¹³C pattern. Across a broad range of latitude, temperature, and precipitation regimes, we found that the average, measured seasonal change in δ¹³C (Δδ¹³C_meas, ‰) within tree rings of evergreen species reflects changes in the carbon isotopic composition of atmospheric carbon dioxide (Δδ¹³C_CO2) and changes in seasonal precipitation (ΔP) according to the following equation: Δδ¹³C_meas = Δδ¹³C_CO2 - 0.82(ΔP) + 0.73; R² = 0.96. Seasonal changes in temperature, pCO₂, and light levels were not found to significantly affect Δδ¹³C_meas. We propose that this relationship can be used to quantify seasonal patterns in paleoprecipitation from intra-ring profiles of δ¹³C measured from non-permineralized, fossil wood.