The implications of microbial and substrate limitation for the fates of carbon in different organic soil horizon types of boreal forest ecosystems: A mechanistically based model analysis

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Abstract

The large amount of soil carbon in boreal forest ecosystems has the potential to influence the climate system if released in large quantities in response to warming. Thus, there is a need to better understand and represent the environmental sensitivity of soil carbon decomposition. Most soil carbon decomposition models rely on empirical relationships omitting key biogeochemical mechanisms and their response to climate change is highly uncertain. In this study, we developed a multi-layer microbial explicit soil decomposition model framework for boreal forest ecosystems. A thorough sensitivity analysis was conducted to identify dominating biogeochemical processes and to highlight structural limitations. Our results indicate that substrate availability (limited by soil water diffusion and substrate quality) is likely to be a major constraint on soil decomposition in the fibrous horizon (40-60% of soil organic carbon (SOC) pool size variation), while energy limited microbial activity in the amorphous horizon exerts a predominant control on soil decomposition (>70% of SOC pool size variation). Elevated temperature alleviated the energy constraint of microbial activity most notably in amorphous soils, whereas moisture only exhibited a marginal effect on dissolved substrate supply and microbial activity. Our study highlights the different decomposition properties and underlying mechanisms of soil dynamics between fibrous and amorphous soil horizons. Soil decomposition models should consider explicitly representing different boreal soil horizons and soil-microbial interactions to better characterize biogeochemical processes in boreal forest ecosystems. A more comprehensive representation of critical biogeochemical mechanisms of soil moisture effects may be required to improve the performance of the soil model we analyzed in this study. © Author(s) 2014.

Figures

  • Figure 1. Schematic representation of the soil decomposition model.
  • Figure 2. Conceptual representation of soil decomposition dynamic in each layer. Rectangles represent stocks; solid arrows denote C flows; dashed arrows represent other controls.
  • Table 2. Parameters used in the model. Inverse estimates of specific parameters and parameter range used are listed. Bolded variables are the 10 selected parameters based on the Morris elementary effect test.
  • Figure 3. Simulated versus observed soil heterotrophic respiration from chamber measured monthly soil respiration during March– October 2003 in a black spruce dominated forest site in central Alaska. Model parameters were estimated using inverse modeling to match modeled soil heterotrophic respiration with observations.
  • Figure 4. Screening test results (sensitivity index ε =
  • Figure 5. Screening test results (sensitivity index ε =
  • Figure 6. Sobol’s estimates of first (a) and total-order (b) parameter sensitivity indices of microbial biomass (MIC), soil organic C (SOC), soluble C (SolubleC), and enzyme (ENZ) pools with their 95 % confidence intervals (vertical lines) under standard soil temperature and moisture (STDt and STDm). 8 out of 10 selected parameters are presented here because the other 2 (Litter_NPPfrac and Vmax_SOC0_f) did not show significant sensitivity (sensitivity indices< 0.1).
  • Figure 7. Coxcomb plot of Sobol’s estimates of total-order parameter sensitivity indices for microbial biomass (MIC), soil organic C (SOC), soluble C (SolubleC), and enzyme (ENZ) pools under three altered environmental scenarios: elevated temperature and standard moisture (Et and STDm), elevated temperature and elevated moisture (Et and Em), elevated temperature and lowered moisture (Et and Lm) for fibrous horizon (first panel, a–d) and amorphous horizon (second panel, e–h).

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CITATION STYLE

APA

He, Y., Zhuang, Q., Harden, J. W., McGuire, A. D., Fan, Z., Liu, Y., & Wickland, K. P. (2014). The implications of microbial and substrate limitation for the fates of carbon in different organic soil horizon types of boreal forest ecosystems: A mechanistically based model analysis. Biogeosciences, 11(16), 4477–4491. https://doi.org/10.5194/bg-11-4477-2014

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