Sanderman, Jonathan, Haig, Jordahna, Das, Sourav, Partida, Colleen, Asanopoulos, Christina, and Bird, Michael I. (2025) Comparison of pyrogenic carbon abundance in coarse-textured soil by hydrogen pyrolysis, NMR and dichromate oxidation and MIR-PLSR. Geoderma, 461. 117502.

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Abstract

Soil pyrogenic carbon (PyC) is of considerable significance to the global carbon cycle as a carbon pool which is resistant to mineralization and thus offers opportunities to facilitate net carbon sequestration. Quantifying the size and dynamics of the soil PyC pool is hampered by the large number of techniques that yield a wide range of abundances even when applied to the same sample. We used hydrogen pyrolysis to quantify stable polycyclic aromatic carbon (SPAC) of pyrogenic origin (PyC<inf>SPAC</inf>) in a globally distributed set of coarse-textured soils, in which the percentage of particles finer than 53 µm ranged from 0.1 to 24.1 % (mean = 7.2 ± 5.8 % 1σ). PyC<inf>SPAC</inf> values ranged from 0 to 0.37 % (mean = 0.08 ± 0.06 %). We compared the PyC<inf>SPAC</inf> values with estimates derived from nuclear magnetic resonance spectroscopy (PyC<inf>NMR</inf>) and found a strong correlation between the two (r = 0.90). However, the PyC<inf>NMR</inf> estimates were ∼7 times higher than PyC<inf>SPAC</inf> values, attributed partly to NMR measuring a wider range of pyrogenic molecules but also likely due to the inclusion of aromatic ‘resistant’ soil carbon of non-pyrogenic origin. In contrast, there was little correspondence between either PyC<inf>SPAC</inf> or PyC<inf>NMR</inf> and abundances determined by dichromate oxidation (PyC<inf>OREC</inf>). Partial least squares modelling of the mid-infrared (MIR) spectra was able to predict both PyC<inf>SPAC</inf> and PyC<inf>NMR</inf> values with high confidence (r = 0.77 and 0.94 respectively). The study suggests that, with appropriate scaling factors, PyC<inf>SPAC</inf> and PyC<inf>NMR</inf> can be directly compared, and both can be predicted by MIR.

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