Abstract:The ability to predict C cycle responses to temperature changes depends on the accurate representation of temperature sensitivity (Q 10 ) of soil organic matter (SOM) decomposition in C models for different C pools and soil depths. Theoretically, Q 10 of SOM decomposition is determined by SOM quality and availability (referred to here as SOM protection). Here, we focus on the role of SOM protection in attenuating the intrinsic, SOM quality dependent Q 10 . To assess the separate effects of SOM quality and prot… Show more
“…First, the physical protection of SOC due to aggregation or association with soil minerals tends to increase with depth (Kögel-Knabner et al 2008;Schrumpf et al 2013), which may lead to a physical disconnect between microbes and substrates and a lower temperature dependence of microbial respiration in subsoils (Gillabel et al 2010;Conant et al 2011). Although physical protection of SOC was not directly measured in this study, MBC and total N contents may indicate the intensity of physical protection of SOC for microbial decomposition.…”
Section: Discussionmentioning
confidence: 79%
“…However, previous studies have shown inconsistent patterns of Q 10 values of soil respiration with soil depth. Increase (Lomander et al 1998;Fierer et al 2003;Jin et al 2008;Karhu et al 2010), decrease (Winkler et al 1996;MacDonald et al 1999;Gillabel et al 2010), or no changes (Fang et al 2005;Leifeld and Fuhrer 2005;Rey et al 2008) in apparent Q 10 values with increasing soil depth have been observed in different studies. Much of the variation in the apparent temperature sensitivity of SOC decomposition may be related to the fact that labile substrate availability is often unaccounted for in these studies Gershenson et al 2009;Conant et al 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, accurate representation of the temperature sensitivity of SOC decomposition (often measured in Q 10 value) in Earth System Models (ESMs) is crucial because it affects our predictions of the impact of climate change on soil carbon stock (Holland et al 2000;Fang et al 2005;Foereid et al 2014). However, there is still no consensus on how the temperature sensitivity of SOC decomposition varies with biotic and abiotic factors Kirschbaum 2006;Smith et al 2008;von Lützow and Kögel-Knabner 2009;Subke and Bahn 2010;Conant et al 2011), such as soil depth (Fierer et al 2003;Rey et al 2008;Gillabel et al 2010) and labile substrate availability Gershenson et al 2009;Fissore et al 2013).…”
Section: Introductionmentioning
confidence: 99%
“…First, at ambient substrate condition (without glucose addition), increasing soil depth leads to increasing intensity of physico-chemical protection of SOC and decreasing amount of labile substrate for microbial respiration (Rumpel and Kögel-Knabner 2011;Schrumpf et al 2013). This increasing substrate limitation causes decreasing apparent temperature sensitivity of SOC decomposition with increasing depth (Gillabel et al 2010). Second, if the kinetics of soil respiration can be adequately approximated by the Michaelis-Menten equation, Q 10 of the substrateinduced respiration should be significantly higher than that of the basal respiration without substrate addition, because the canceling effect of the temperature sensitivity of K m on the temperature sensitivity of soil respiration is negligible when the substrate is saturated and much higher than K m ([C] ) K m , Larionova et al 2007;Gershenson et al 2009).…”
The decomposition of soil organic carbon (SOC) is intrinsically sensitive to temperature. However, the degree to which the temperature sensitivity of SOC decomposition (as often measured in Q 10 value) varies with soil depth and labile substrate availability remain unclear. This study explores (1) how the Q 10 of SOC decomposition changes with increasing soil depth, and (2) how increasing labile substrate availability affects the Q 10 at different soil depths. We measured soil CO 2 production at four temperatures (6, 14, 22 and 30°C) using an infrared CO 2 analyzer.Treatments included four soil depths (0-20, 20-40, 40-60 and 60-80 cm), four sites (farm, redwood forest, ungrazed and grazed grassland), and two levels of labile substrate availability (ambient and saturated by adding glucose solution). We found that Q 10 values at ambient substrate availability decreased with increasing soil depth, from 2.0-2.4 in 0-20 cm to 1.5-1.8 in 60-80 cm. Moreover, saturated labile substrate availability led to higher Q 10 in most soil layers, and the increase in Q 10 due to labile substrate addition was larger in subsurface soils (20-80 cm) than in surface soils (0-20 cm). Further analysis showed that microbial biomass carbon (MBC) and SOC best explained the variation in Q 10 at ambient substrate availability across ecosystems and depths (R 2 = 0.37, P \ 0.001), and MBC best explained the variation in the change of Q 10 between control and glucose addition treatment (R 2 = 0.14, P = 0.003).Xueyong Pang and Biao Zhu contributed equally to this work.
“…First, the physical protection of SOC due to aggregation or association with soil minerals tends to increase with depth (Kögel-Knabner et al 2008;Schrumpf et al 2013), which may lead to a physical disconnect between microbes and substrates and a lower temperature dependence of microbial respiration in subsoils (Gillabel et al 2010;Conant et al 2011). Although physical protection of SOC was not directly measured in this study, MBC and total N contents may indicate the intensity of physical protection of SOC for microbial decomposition.…”
Section: Discussionmentioning
confidence: 79%
“…However, previous studies have shown inconsistent patterns of Q 10 values of soil respiration with soil depth. Increase (Lomander et al 1998;Fierer et al 2003;Jin et al 2008;Karhu et al 2010), decrease (Winkler et al 1996;MacDonald et al 1999;Gillabel et al 2010), or no changes (Fang et al 2005;Leifeld and Fuhrer 2005;Rey et al 2008) in apparent Q 10 values with increasing soil depth have been observed in different studies. Much of the variation in the apparent temperature sensitivity of SOC decomposition may be related to the fact that labile substrate availability is often unaccounted for in these studies Gershenson et al 2009;Conant et al 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, accurate representation of the temperature sensitivity of SOC decomposition (often measured in Q 10 value) in Earth System Models (ESMs) is crucial because it affects our predictions of the impact of climate change on soil carbon stock (Holland et al 2000;Fang et al 2005;Foereid et al 2014). However, there is still no consensus on how the temperature sensitivity of SOC decomposition varies with biotic and abiotic factors Kirschbaum 2006;Smith et al 2008;von Lützow and Kögel-Knabner 2009;Subke and Bahn 2010;Conant et al 2011), such as soil depth (Fierer et al 2003;Rey et al 2008;Gillabel et al 2010) and labile substrate availability Gershenson et al 2009;Fissore et al 2013).…”
Section: Introductionmentioning
confidence: 99%
“…First, at ambient substrate condition (without glucose addition), increasing soil depth leads to increasing intensity of physico-chemical protection of SOC and decreasing amount of labile substrate for microbial respiration (Rumpel and Kögel-Knabner 2011;Schrumpf et al 2013). This increasing substrate limitation causes decreasing apparent temperature sensitivity of SOC decomposition with increasing depth (Gillabel et al 2010). Second, if the kinetics of soil respiration can be adequately approximated by the Michaelis-Menten equation, Q 10 of the substrateinduced respiration should be significantly higher than that of the basal respiration without substrate addition, because the canceling effect of the temperature sensitivity of K m on the temperature sensitivity of soil respiration is negligible when the substrate is saturated and much higher than K m ([C] ) K m , Larionova et al 2007;Gershenson et al 2009).…”
The decomposition of soil organic carbon (SOC) is intrinsically sensitive to temperature. However, the degree to which the temperature sensitivity of SOC decomposition (as often measured in Q 10 value) varies with soil depth and labile substrate availability remain unclear. This study explores (1) how the Q 10 of SOC decomposition changes with increasing soil depth, and (2) how increasing labile substrate availability affects the Q 10 at different soil depths. We measured soil CO 2 production at four temperatures (6, 14, 22 and 30°C) using an infrared CO 2 analyzer.Treatments included four soil depths (0-20, 20-40, 40-60 and 60-80 cm), four sites (farm, redwood forest, ungrazed and grazed grassland), and two levels of labile substrate availability (ambient and saturated by adding glucose solution). We found that Q 10 values at ambient substrate availability decreased with increasing soil depth, from 2.0-2.4 in 0-20 cm to 1.5-1.8 in 60-80 cm. Moreover, saturated labile substrate availability led to higher Q 10 in most soil layers, and the increase in Q 10 due to labile substrate addition was larger in subsurface soils (20-80 cm) than in surface soils (0-20 cm). Further analysis showed that microbial biomass carbon (MBC) and SOC best explained the variation in Q 10 at ambient substrate availability across ecosystems and depths (R 2 = 0.37, P \ 0.001), and MBC best explained the variation in the change of Q 10 between control and glucose addition treatment (R 2 = 0.14, P = 0.003).Xueyong Pang and Biao Zhu contributed equally to this work.
“…Their application specifically highlights the role of extracellular enzymes during decomposition and how these constraints will further affect the release of soil organic matter as a consequence of warming. While microbial decomposition models are able to improve prediction of organic carbon stock globally and can successfully recreate litter decomposition dynamics, the long-term trajectory of a warming response needs further evaluation Hararuk et al, 2015). In particular, a positive feedback between depolymerisation and microbes can only be curbed via the longer-term adjustment of soil organic matter and therefore lead to oscillation in both microbial biomass and soil organic matter .…”
Abstract. Recent developments in modelling soil organic carbon decomposition include the explicit incorporation of enzyme and microbial dynamics. A characteristic of these models is a positive feedback between substrate and consumers, which is absent in traditional first-order decay models. With sufficiently large substrate, this feedback allows an unconstrained growth of microbial biomass. We explore mechanisms that curb unrestricted microbial growth by including finite potential sites where enzymes can bind and by allowing microbial scavenging for enzymes. We further developed a model where enzyme synthesis is not scaled to microbial biomass but associated with a respiratory cost and microbial population adjusts enzyme production in order to optimise their growth. We then tested short-and long-term responses of these models to a step increase in temperature and find that these models differ in the long-term when shortterm responses are harmonised. We show that several mechanisms, including substrate limitation, variable production of microbial enzymes, and microbes feeding on extracellular enzymes eliminate oscillations arising from a positive feedback between microbial biomass and depolymerisation. The model where enzyme production is optimised to yield maximum microbial growth shows the strongest reduction in soil organic carbon in response to warming, and the trajectory of soil carbon largely follows that of a first-order decomposition model. Modifications to separate growth and maintenance respiration generally yield short-term differences, but results converge over time because microbial biomass approaches a quasi-equilibrium with the new conditions of carbon supply and temperature.
A large amount of soil organic carbon (SOC) is laterally redistributed by agricultural erosion.Recent studies have shown that this leads to strong horizontal (i.e., spatial) and vertical (i.e., with soil depth) gradients in SOC stock and C pool distribution in eroding landscapes. However, the mechanisms leading to these gradients in relation to erosion and deposition are still poorly documented. In particular, the effect of the inherent properties of SOC (as controlled by the SOC pool composition) versus the effect of depth-related soil environmental condition (i.e., differences in soil humidity, temperature, aeration, etc.) on the persistence of SOC in eroding landscapes is uncertain. Nonetheless, a detailed understanding of these factors is important to correctly assess landscape-scale soil C turnover and vulnerability to disturbance from human activities. This study utilizes observational data on long-term erosion/deposition rates and C pool composition derived from soil C fractionation experiments along an eroding agricultural hillslope to constrain a coupled erosion-SOC dynamics model. The simulation results show that the data set used can result in a robust parameter estimation of a multipool C model for an eroding landscape with parameter values that are consistent with incubation experiments. A scenario analysis, where we evaluate the contribution of different processes, demonstrates that soil redistribution is essential to explain the observation that depositional locations contain more SOC in subsoils, while the SOC content of the surface layer is similar to those observed along an eroding hillslope. The spatial variability of plant production could explain some of the observed variability in SOC content, but our results suggest that the spatial variability of SOC pool composition is mainly related to soil redistribution. Finally, we suggest that environmental factors may play a more important role than the inherent properties of SOC in determining the vertical variation of SOC mineralization. This implies that depositional C stocks might be highly vulnerable to disturbance from human activities that may reconnect the buried SOC with the atmosphere.
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