title: Differences in SOM decomposition and temperature sensitivity among soil aggregate size classes in a temperate grasslands.
abstract: The principle of enzyme kinetics suggests that the temperature sensitivity (Q10) of soil organic matter (SOM) decomposition is inversely related to organic carbon (C) quality, i.e., the C quality-temperature (CQT) hypothesis. We tested this hypothesis by performing laboratory incubation experiments with bulk soil, macroaggregates (MA, 250-2000 μm), microaggregates (MI, 53-250 μm), and mineral fractions (MF, <53 μm) collected from an Inner Mongolian temperate grassland. The results showed that temperature and aggregate size significantly affected on SOM decomposition, with notable interactive effects (P<0.0001). For 2 weeks, the decomposition rates of bulk soil and soil aggregates increased with increasing incubation temperature in the following order: MA>MF>bulk soil >MI(P <0.05). The Q10 values were highest for MA, followed (in decreasing order) by bulk soil, MF, and MI. Similarly, the activation energies (Ea) for MA, bulk soil, MF, and MI were 48.47, 33.26, 27.01, and 23.18 KJ mol-1, respectively. The observed significant negative correlations between Q10 and C quality index in bulk soil and soil aggregates (P<0.05) suggested that the CQT hypothesis is applicable to soil aggregates. Cumulative C emission differed significantly among aggregate size classes (P <0.0001), with the largest values occurring in MA (1101 μg g-1), followed by MF (976 μg g-1) and MI (879 μg g-1). These findings suggest that feedback from SOM decomposition in response to changing temperature is closely associated withsoil aggregation and highlights the complex responses of ecosystem C budgets to future warming scenarios.
authors.affiliation: Resources and Environment College, Anhui Agricultural University, Hefei, China; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
authors.forename: Qing
authors.initials: Q
authors.lastname: Wang
authors.affiliation: Resources and Environment College, Anhui Agricultural University, Hefei, China.
authors.forename: Dan
authors.initials: D
authors.lastname: Wang
authors.affiliation: Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
authors.forename: Xuefa
authors.initials: X
authors.lastname: Wen
authors.affiliation: Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
authors.forename: Guirui
authors.initials: G
authors.lastname: Yu
authors.affiliation: Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
authors.forename: Nianpeng
authors.initials: N
authors.lastname: He
authors.affiliation: Resources and Environment College, Anhui Agricultural University, Hefei, China.
authors.forename: Rongfu
authors.initials: R
authors.lastname: Wang
mesh_terms: D065948:Grassland; D008903:Minerals / Q000737:chemistry; D009930:Organic Chemicals / Q000737:chemistry*; D012987:Soil / Q000737:chemistry*; D013696:Temperature
chemical_list: D008903:Minerals; D009930:Organic Chemicals; D012987:Soil