A Compilation of Global Soil Microbial Biomass Carbon, Nitrogen, and Phosphorus Data

Xu, Xiao-Qun; Thornton, P.E.; Potapov, P.

doi:10.3334/ornldaac/1264

Cited by 2 publications

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“…microbial C and microbial C:N estimates fromXu et al (2013); (see alsoXu et al, 2014) andSerna-Chavez et al (2013), heterotrophic respiration fluxes derived byHashimoto et al (2015), and soil C:N derived from the ratio of organic C and total N (0-1 m depth) from the Global Soil…”

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confidence: 99%

Simulating Global Terrestrial Carbon and Nitrogen Biogeochemical Cycles with Implicit and Explicit Representations of Soil Microbial Activity

Wieder,

Hartman,

Kyker-Snowman

et al. 2023

Preprint

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Nutrient limitation is widespread in terrestrial ecosystems. Accordingly, representations of nitrogen (N) limitation in land models typically dampen rates of terrestrial carbon (C) accrual, compared with C-only simulations. These previous findings, however, rely on soil biogeochemical models that implicitly represent microbial activity and physiology. Here we present results from a biogeochemical model testbed that allows us to investigate how an explicit vs. implicit representation of soil microbial activity, as represented in the MIcrobial-MIneral Carbon Stabilization (MIMICS) and Carnegie–Ames–Stanford Approach (CASA) soil biogeochemical models, respectively, influence plant productivity and terrestrial C and N fluxes at initialization and over the historical period. When forced with common boundary conditions, larger soil C pools simulated by the MIMICS model reflect longer inferred soil organic matter (SOM) turnover times than those simulated by CASA. At steady state, terrestrial ecosystems experience greater N limitation when using the MIMICS-CN model, which also increases the inferred SOM turnover time. Over the historical period, however, higher rates of N mineralization were fueled by warming-induced acceleration of SOM decomposition over high latitude ecosystems in the MIMICS-CN simulation reduce this N limitation, resulting in faster rates of vegetation C accrual. Moreover, as SOM stoichiometry is an emergent property of MIMICS-CN, we highlight opportunities to deepen understanding of sources of persistent SOM and explore its potential sensitivity to environmental change. Our findings underscore the need to improve understanding and representation of plant and microbial resource allocation and competition in land models that represent coupled biogeochemical cycles under global change scenarios.

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mentioning

confidence: 99%

Simulating Global Terrestrial Carbon and Nitrogen Biogeochemical Cycles with Implicit and Explicit Representations of Soil Microbial Activity

Wieder,

Hartman,

Kyker-Snowman

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Simulating Global Terrestrial Carbon and Nitrogen Biogeochemical Cycles With Implicit and Explicit Representations of Soil Microbial Activity

Wieder,

Hartman,

Kyker‐Snowman

et al. 2024

J Adv Model Earth Syst

View full text Add to dashboard Cite

Nutrient limitation is widespread in terrestrial ecosystems. Accordingly, representations of nitrogen (N) limitation in land models typically dampen rates of terrestrial carbon (C) accrual, compared with C‐only simulations. These previous findings, however, rely on soil biogeochemical models that implicitly represent microbial activity and physiology. Here we present results from a biogeochemical model testbed that allows us to investigate how an explicit versus implicit representation of soil microbial activity, as represented in the MIcrobial‐MIneral Carbon Stabilization (MIMICS) and Carnegie‐Ames‐Stanford Approach (CASA) soil biogeochemical models, respectively, influence plant productivity, and terrestrial C and N fluxes at initialization and over the historical period. When forced with common boundary conditions, larger soil C pools simulated by the MIMICS model reflect longer inferred soil organic matter (SOM) turnover times than those simulated by CASA. At steady state, terrestrial ecosystems experience greater N limitation when using the MIMICS‐CN model, which also increases the inferred SOM turnover time. Over the historical period, however, warming‐induced acceleration of SOM decomposition over high latitude ecosystems increases rates of N mineralization in MIMICS‐CN. This reduces N limitation and results in faster rates of vegetation C accrual. Moreover, as SOM stoichiometry is an emergent property of MIMICS‐CN, we highlight opportunities to deepen understanding of sources of persistent SOM and explore its potential sensitivity to environmental change. Our findings underscore the need to improve understanding and representation of plant and microbial resource allocation and competition in land models that represent coupled biogeochemical cycles under global change scenarios.

show abstract

A Compilation of Global Soil Microbial Biomass Carbon, Nitrogen, and Phosphorus Data

Cited by 2 publications

References 0 publications

Simulating Global Terrestrial Carbon and Nitrogen Biogeochemical Cycles with Implicit and Explicit Representations of Soil Microbial Activity

Simulating Global Terrestrial Carbon and Nitrogen Biogeochemical Cycles with Implicit and Explicit Representations of Soil Microbial Activity

Simulating Global Terrestrial Carbon and Nitrogen Biogeochemical Cycles With Implicit and Explicit Representations of Soil Microbial Activity

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