2020
DOI: 10.1111/gcb.14986
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Soil carbon loss with warming: New evidence from carbon‐degrading enzymes

Abstract: Climate warming affects soil carbon (C) dynamics, with possible serious consequences for soil C stocks and atmospheric CO2 concentrations. However, the mechanisms underlying changes in soil C storage are not well understood, hampering long‐term predictions of climate C‐feedbacks. The activity of the extracellular enzymes ligninase and cellulase can be used to track changes in the predominant C sources of soil microbes and can thus provide mechanistic insights into soil C loss pathways. Here we show, using meta… Show more

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Cited by 148 publications
(74 citation statements)
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References 84 publications
(150 reference statements)
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“…Uncovering mechanisms to maintain microbial diversity in these environments is important in understanding belowground metabolic transformations and subsequent GHG emissions (Muscarella et al, 2019). Substrate generalists vs. specialists can interact with different available substrates and depending upon the substrates that are used, we can partly understand microbial preferences and predict gas flux changes (Chen et al, 2020;Zhou et al, 2020). Based on our data, bog SOM exhibited higher DOC porewater concentrations, lower microbial diversity (inferred from Shannon diversity; Singleton et al, 2018;Woodcroft et al, 2018), and activity (inferred from the high average number of neighbors and lower clustering coefficient in the bog metabolic transformations analysis- Supplementary Table 3), suggesting that bog microbial communities are comprised of substrate specialists that are only capable of performing a limited set of specific functions (Monard et al, 2016;Muscarella et al, 2019) under anoxic and acidic conditions mainly created by Sphagnum spp.…”
Section: Discussionmentioning
confidence: 99%
“…Uncovering mechanisms to maintain microbial diversity in these environments is important in understanding belowground metabolic transformations and subsequent GHG emissions (Muscarella et al, 2019). Substrate generalists vs. specialists can interact with different available substrates and depending upon the substrates that are used, we can partly understand microbial preferences and predict gas flux changes (Chen et al, 2020;Zhou et al, 2020). Based on our data, bog SOM exhibited higher DOC porewater concentrations, lower microbial diversity (inferred from Shannon diversity; Singleton et al, 2018;Woodcroft et al, 2018), and activity (inferred from the high average number of neighbors and lower clustering coefficient in the bog metabolic transformations analysis- Supplementary Table 3), suggesting that bog microbial communities are comprised of substrate specialists that are only capable of performing a limited set of specific functions (Monard et al, 2016;Muscarella et al, 2019) under anoxic and acidic conditions mainly created by Sphagnum spp.…”
Section: Discussionmentioning
confidence: 99%
“…For example, N loading rate was grouped by <5, 5–15 and >15 g N m −2 year −1 and N loading frequency by <4, 4–12 and >12 times per year. To assess temporal variation in treatment effects, we made a distinction between short‐term (<5 years) and long‐term (≥5 years) studies (Chen et al., 2020; Kuebbing et al., 2018). The cutoff of 5 years aligned with the large survey of long‐term research in ecology and evolution by Kuebbing et al.…”
Section: Methodsmentioning
confidence: 99%
“…In Moore et al (2020), they show the divergent responses of the abundance of genes encoding hydrolytic and oxidative enzymes to N loading, which are in line with the contrasting responses of hydrolytic and oxidative carbondegrading enzyme activity . In , Chen, Luo, García-Palacios, et al (2018) and Chen et al (2020), we demonstrate that shifts in soil hydrolytic and oxidative C-degrading enzyme activities are closely associated with soil C stock under N loading and experimental warming. Therefore, there can be direct and indirect relationships between shifts in microbial function gene abundance and changes in soil C stock, constituting one future research priority (highlighted by the dashed red arrows).…”
mentioning
confidence: 77%