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Low carbon availability in paleosols nonlinearly attenuates temperature sensitivity of soil organic matter decomposition.

Jiao SuHai-Yang ZhangXing-Guo HanJosep PenuelasEkaterina FilimonenkoYong JiangYakov KuzyakovCunzheng Wei
Published in: Global change biology (2022)
Temperature sensitivity (Q 10 ) of soil organic matter (SOM) decomposition is an important parameter in models of the global carbon (C) cycle. Previous studies have suggested that substrate quality controls the intrinsic Q 10 , whereas environmental factors can impose large constraints. For example, physical protection of SOM and its association with minerals attenuate the apparent Q 10 through reducing substrate availability and accessibility ([S]). The magnitude of this dampening effect, however, has never been quantified. We simulated theoretical Q 10 changes across a wide range of [S] and found that the relationship between Q 10 and the log 10 -transformed [S] followed a logistic rather than a linear function. Based on the unique Holocene paleosol chronosequence (7 soils from ca. 500 to 6900 years old), we demonstrated that the Q 10 decreased nonlinearly with soil age up to 1150 years, beyond which Q 10 remained stable. Hierarchical partitioning analysis indicated that an integrated C availability index, derived from principal component analysis of DOC content and parameters reflecting physical protection and mineral association, was the main explanatory variable for the nonlinear decrease of Q 10 with soil age. Microbial inoculation and 13 C-labelled glucose addition showed that low C availability induced by physical protection and minerals association attenuated Q 10 along the chronosequence. A separate soil incubation experiment indicated that Q 10 increased exponentially with activation energy (E a ) in the modern soil, suggesting that SOM chemical complexity regulates Q 10 only when C availability is high. In conclusion, organic matter availability strongly decreased with soil age, whereas Michelis-Menten kinetics defines the Q 10 response depending on C availability, but Arrhenius equation describes the effects of increasing substrate complexity.
Keyphrases
  • organic matter
  • plant growth
  • physical activity
  • mental health
  • computed tomography
  • type diabetes
  • risk assessment
  • metabolic syndrome
  • heavy metals
  • magnetic resonance
  • human health
  • protein kinase