2019
DOI: 10.1002/ecy.2732
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The stoichiometric legacy of fire regime regulates the roles of micro‐organisms and invertebrates in decomposition

Abstract: Decadal‐scale increases in fire frequency have the potential to deplete ecosystems of essential nutrients and consequently impede nutrient‐limited biological processes via stoichiometric imbalance. Decomposition, a fundamental ecosystem function and strong driver of future fire occurrence, is highly sensitive to nutrient availability and is, therefore, particularly important in this context. Here we show that 40 yr of quadrennial (4yB) and biennial (2yB) prescribed burning result in severely P‐ and N‐depleted … Show more

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Cited by 42 publications
(33 citation statements)
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References 60 publications
(127 reference statements)
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“…Patterns of rainfall and temperature during the litter decomposition period are presented in Figure 1. The effects of fire regime on the rates of E. pilularis litter mass loss as determined by our litter bag experiment have already been described by Butler et al (2019b), who showed that the rates of microbially-driven litter decomposition were 42.1 and 23.6% slower in the 4yB and 2yB treatments, respectively, than in the NB treatment. The results of our ANOVA of litter mass loss over the four bag re-collection dates were consistent with this (Figure 2); however, the significant interaction between fire regime and litter bag re-collection date also indicates that the effect of fire regime was particularly strong at the end of the experimental decomposition period (i.e., at day 277; Figure 2).…”
Section: Resultssupporting
confidence: 77%
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“…Patterns of rainfall and temperature during the litter decomposition period are presented in Figure 1. The effects of fire regime on the rates of E. pilularis litter mass loss as determined by our litter bag experiment have already been described by Butler et al (2019b), who showed that the rates of microbially-driven litter decomposition were 42.1 and 23.6% slower in the 4yB and 2yB treatments, respectively, than in the NB treatment. The results of our ANOVA of litter mass loss over the four bag re-collection dates were consistent with this (Figure 2); however, the significant interaction between fire regime and litter bag re-collection date also indicates that the effect of fire regime was particularly strong at the end of the experimental decomposition period (i.e., at day 277; Figure 2).…”
Section: Resultssupporting
confidence: 77%
“…This result was partially consistent with our expectations, although we expected differences in decomposition rate to be greatest between 2yB and NB, not between 4yB and NB. At least some of this effect can likely be attributed to the low P concentration of 4yB litter, which has suppressed microbial C demand in favor of P acquisition (Butler et al, 2019b). An implication of this finding is that the rate of accumulation of soil C could be significantly lower in frequently burned eucalypt forest due to constrained decomposition rates.…”
Section: Discussionmentioning
confidence: 99%
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“…By contrast, wildfire studies indicate that transitions of fungal communities from ‘burned’ to ‘unburned’ states can take more than a decade (Dooley & Treseder, ; Holden et al ., ; Oliver et al ., ). Decomposition data here indicate that fire effects on microbial decomposition may be important, albeit transient, compared with fire regime impacts through litter stoichiometry (Ficken & Wright, ; Butler et al ., ). These differences suggest that variation in fire return intervals and/or fire intensities may have large effects on microbial community dynamics and function.…”
Section: Discussionmentioning
confidence: 99%
“…Despite the fact that stoichiometry is more consistent than CUE (Cleveland and Liptzin, 2007), the stoichiometry of MAOM and other large soil pools can be sensitive to disturbance, and may therefore be vulnerable to global change. For example, fire (e.g., Butler et al, 2019), warming (e.g., Sihi et al, 2019), and nutrient addition (e.g., Crowther et al, 2019) have been known to influence the stoichiometry of soil, invertebrate, saprotrophic microorganisms, mycorrhizal fungi, and enzyme kinetic activities, which in turn can affect SOM pools and flows. Likewise, MAOM stoichiometry is likely to change with soil pH and associated organo-metal complexation with sesquioxides (Fe and Al oxides) and exchangeable Ca (Rasmussen et al, 2018).…”
Section: Discussionmentioning
confidence: 99%