Predicting pyrogenic organic matter mineralization from its initial properties and implications for carbon management |
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| Institution: | 1. Laboratory of Paleoecology, Institute of Botany, Czech Academy of Sciences, Zámek 1, Průhonice, Czech Republic;2. Centre for Theoretical Study, Charles University in Prague and the Academy of Sciences of the Czech Republic, Jilská 1, Prague 1, Czech Republic;3. Department of Forest Ecology, The Silva Tarouca Research Institute for Landscape and Ornamental Gardening, Lidická 25/27, Brno, Czech Republic;4. Department of Botany, Faculty of Science, Charles University, Benátská 2, Prague 2, Czech Republic;5. Institute of Archaeology of the Czech Academy of Sciences, Prague, v.v.i., Prague, Letenská 4, Prague 1, Czech Republic;6. Department of Botany and Zoology, Faculty of Science, Masaryk University, Kotlářská 2, CZ-61137 Brno, Czech Republic;7. Department of GIS and Remote Sensing, Institute of Botany, Czech Academy of Sciences, Zámek 1, Průhonice, Czech Republic;1. Chair of Soil Science, Technical University of Munich, Emil-Ramann-Strasse 2, 85354 Freising, Germany;2. INRA, ECOSYS, UMR INRA-AgroParisTech, Thiverval-Grignon, CentreAgroParisTech, bâtiment EGER, 78850, France;3. CNRS, IEES, UMR UPMC-CNRS-UPEC-INRA-IRD, CentreAgroParisTech, bâtiment EGER, Thiverval-Grignon 78850, France;4. Department of Ecosystem Biology, Faculty of Science, University of South Bohemia, Branišovská 31, 370 05 České Budějovice, Czech Republic;5. Institute of Hydrochemistry, Chair for Analytical Chemistry, Technical University of Munich, Marchioninistrasse 17, 81377 Munich, Germany;6. Institute for Advanced Study, Hong Kong of Science and Technology, Clear Water Bay, Hong Kong, China;7. Institute for Advanced Study, Technical University of Munich, 85748 Garching, Germany;1. CAS Key Laboratory of Crust-Mantle Materials and Environments, School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, Anhui, China;2. State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710075, Shaanxi, China;1. Centre for Environmental and Climate Research, Lund University, Sölvegatan 37, SE-223 62, Lund, Sweden;2. Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, SE-223 62, Lund, Sweden;3. Department of Biology, Lund University, Sölvegatan 37, SE-223 62, Lund, Sweden;4. Department of Physical Geography, Stockholm University, Svante Arrhenius väg 8, SE-114 18, Stockholm, Sweden |
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| Abstract: | Predicting pyrogenic carbon (PyC) or biochar stability from its precursor properties is critical for evaluating and managing terrestrial C stocks. Transmission mode Fourier transform infrared spectroscopy (FTIR) spectroscopy was compared with proximate analysis data and H/C and O/C for predicting C mineralization. PyC produced at 7 different temperatures from 6 different feedstocks, in addition to the original feedstock materials, was incubated for 3 yr at 30 °C in a sand matrix. A C debt or credit ratio was calculated by comparing the C remaining in the incubated PyC sample (accounting for the measured C lost during initial PyC production) to the C remaining in the incubated original feedstock. A value > 1 indicates that more C remains in the PyC than in the original feedstock (credit), while a value < 1 indicates a debt. After 3 yr, PyC produced at 300 °C lost significantly more C than higher temperature PyC material, but significant differences in C loss between PyC produced at temperatures ⩾ 350 °C were not detectable. The best predictor of C loss was a multiple linear regression model using the fractional FTIR signals at 816, 1048, 1374, 1424, 1460, 1590, 1700 and 2925 cm−1 as parameters (R2 0.80, p < 0.0001). After 3 yr, the C debt or credit ratio reached values significantly > 1 for all corn PyC samples and some bull, dairy and poultry PyC samples, resulting in net C credit, while all pine and oak PyC samples remained in debt. This C debt or credit ratio reveals that, depending on the timeline of interest, producing relatively low temperature PyC with less initial C loss can result in greater C savings than producing higher temperature PyC, even though the C remaining after exposure to higher pyrolysis temperatures is more stable. |
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