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Prediction of atmospheric δ 13 CO 2 using fossil plant tissues
Author(s) -
Jahren A. Hope,
Arens Nan Crystal,
Harbeson Stephanie A.
Publication year - 2008
Publication title -
reviews of geophysics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 8.087
H-Index - 156
eISSN - 1944-9208
pISSN - 8755-1209
DOI - 10.1029/2006rg000219
Subject(s) - raphanus , isotopes of carbon , carbon fibers , atmosphere (unit) , δ13c , carbon cycle , carbon 13 , isotope , atmospheric sciences , chemical composition , environmental chemistry , biomass (ecology) , environmental science , chemistry , stable isotope ratio , botany , total organic carbon , geology , biology , agronomy , materials science , ecology , physics , meteorology , ecosystem , composite number , composite material , organic chemistry , quantum mechanics
Reconstruction of the carbon isotope composition of atmospheric CO 2 is critical to the understanding of long‐term global carbon cycling. We have suggested that the δ 13 C value of land plant carbon ( δ 13 C p ) preserved in the geologic record should reflect the δ 13 CO 2 at the time during which the plants grew ( δ 13 C a ), based on a meta‐analysis of modern plant data. Here we present the results of laboratory experiments designed to quantify the relationship between plant tissue δ 13 C and δ 13 CO 2 values under varying environmental conditions, including differential p CO 2 ranging from 1 to 3 times today's levels. As predicted, plants grown under elevated p CO 2 showed increased average biomass compared to controls grown at the same temperature. Across a very large range in δ 13 C a (≈24‰) and p CO 2 (≈740 ppmv) we observed a consistent correlation between δ 13 C a and δ 13 C p ( p < 0.001). We show an average isotopic depletion of −25.4‰ for aboveground tissue and −23.2‰ for belowground tissue of Raphanus sativus L. relative to the composition of the atmosphere under which it formed. For aboveground and belowground tissue, grown at both ∼23°C and ∼29°C, correlation was strong and significant ( r 2 ≥ 0.98 and p < 0.001); variation in p CO 2 level had little or no effect on this relationship. These results validate our initial conclusion that in the absence of environmental stress, plant δ 13 C primarily reflects atmospheric δ 13 CO 2 linearly across p CO 2 levels; the demonstrated excellent correlation in δ 13 C a and δ 13 C p suggests a high level of predictive power across varying environmental conditions.

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