globalchange  > 气候变化事实与影响
DOI: doi:10.1038/nclimate2436
论文题名:
Microbe-driven turnover offsets mineral-mediated storage of soil carbon under elevated CO2
作者: Benjamin N. Sulman
刊名: Nature Climate Change
ISSN: 1758-1111X
EISSN: 1758-7231
出版年: 2014-11-10
卷: Volume:4, 页码:Pages:1099;1102 (2014)
语种: 英语
英文关键词: Biogeochemistry ; Biogeochemistry ; Ecological modelling
英文摘要:

The sensitivity of soil organic carbon (SOC) to changing environmental conditions represents a critical uncertainty in coupled carbon cycle–climate models1. Much of this uncertainty arises from our limited understanding of the extent to which root–microbe interactions induce SOC losses (through accelerated decomposition or ‘priming’2) or indirectly promote SOC gains (via ‘protection’ through interactions with mineral particles3, 4). We developed a new SOC model to examine priming and protection responses to rising atmospheric CO2. The model captured disparate SOC responses at two temperate free-air CO2 enrichment (FACE) experiments. We show that stabilization of ‘new’ carbon in protected SOC pools may equal or exceed microbial priming of ‘old’ SOC in ecosystems with readily decomposable litter and high clay content (for example, Oak Ridge5). In contrast, carbon losses induced through priming dominate the net SOC response in ecosystems with more resistant litters and lower clay content (for example, Duke6). The SOC model was fully integrated into a global terrestrial carbon cycle model to run global simulations of elevated CO2 effects. Although protected carbon provides an important constraint on priming effects, priming nonetheless reduced SOC storage in the majority of terrestrial areas, partially counterbalancing SOC gains from enhanced ecosystem productivity.

Soils contain more carbon (C) than plant biomass and the atmosphere combined7. Although a large body of literature has explored the effects of elevated CO2 on plant growth8, there is considerable uncertainty as to how such changes will affect SOC stocks5, 9. A large fraction of this uncertainty is due to the complexity of soil processes and structure: an enormous variety of chemical compounds and a diverse community of bacteria and fungi in the soil respond in complex ways to changes in temperature, moisture and inputs of fresh plant C (refs 2, 10). Furthermore, recent advances in isotopic, genomic and spectroscopic tools have revealed that a suite of physical, chemical and biological factors control not only SOC decomposition, but also SOC formation and stabilization4, 11. Current global-scale land surface models represent SOC decay as a first-order process that depends only on abiotic factors such as temperature and moisture1, with limited representations of root and microbial influences on SOC. Whereas microbial models have been applied at global scales12, rhizosphere processes and microbial influences on SOC stabilization and mineralization have not previously been integrated into global land surface models. Hence, the development of global-scale SOC models that represent essential processes and interactions while remaining tractable for parameterization in Earth system models (ESMs) remains a major challenge.

There is now substantial evidence from both empirical and modelling studies that inputs of simple, readily assimilated C compounds such as glucose and amino acids (hereafter referred to as ‘simple C’) can accelerate the decomposition of complex organic compounds2. Such ‘priming effects’ are likely to have important consequences for global SOC stocks. Rising atmospheric CO2 concentrations generally increase the inputs of simple C to soils through greater leaf and root production13 and enhanced root exudation14. Such increases have been identified as responsible for accelerated losses of SOC in multiple CO2-enrichment experiments6, 9, 15, 16, as well as in a broad synthesis of ecosystem responses to elevated CO2 (ref. 17). The importance of priming is further supported by modelling efforts, as ecosystem models based on first-order decomposition have been unable to explain observed changes in C and N cycling under elevated CO2 (refs 18, 19), and land surface models that include coarse representations of priming have produced more accurate maps of global SOC stocks20.

Although priming effects are critically important and globally significant, an important constraint on their impact is that plant-derived inputs can also lead to the formation of SOC that is protected from microbial degradation. There is now increasing evidence that a significant proportion of stable SOC is derived from simple C rather than chemically resistant compounds3, and that the long-term preservation of SOC depends more on its accessibility to microbial decomposers than on its chemical complexity4, 11. Such ‘protection’ of SOC results from physical occlusion in microaggregates or chemical sorption in organo-mineral complexes. Notably, protected SOC may also have lower temperature sensitivity than chemically resistant SOC, meaning that its response to future climate change could be different even if its contemporary turnover rate is the same21.

To investigate the global consequences of SOC priming and protection, we developed a new SOC model, Carbon, Organisms, Rhizosphere, and Protection in the Soil Environment (CORPSE), that represents protected and unprotected SOC pools, and uses a dynamic microbial biomass pool to control SOC transformation and decomposition (Fig. 1). Both protected and unprotected SOC pools contain a combination of compounds with different decomposition rates and parameters. This approach is more flexible than previous formulations that represented only bulk SOC and dissolved organic C, and did not include a separate protected C pool12. Furthermore, CORPSE is novel in that it links microbial turnover to protected C formation via a microbial necromass C pool with a rapid stabilization rate. Moreover, CORPSE has separate compartments for rhizosphere and bulk soil processes so that consequences of changes in rhizosphere volume can be quantified. The model simulates priming effects through enhanced microbial growth in response to simple C inputs. Simple C inputs also increase the rate of protected carbon formation via increased microbial biomass and turnover, following ref. 3. Because of the nonlinear response of SOC turnover to simple C inputs, the partitioning of SOC between rhizosphere (which receives root exudates) and bulk soil (which does not) has a strong influence on the overall SOC turnover rate, and expansion of the rhizosphere can greatly increase the magnitude of priming effects.

Figure 1: Diagram of model structure.
Diagram of model structure.

Soil carbon is divided into three chemical classes, which can be protected or unprotected. Decomposition is mediated by microbial biomass, which takes up a portion of decomposed carbon and loses carbon to CO2 and the dead microbial C pool over time. Soil is separated into the rhizosphere, which receives root exudate inputs, and bulk soil, which does not.

Carbon in the CORPSE model is divided into three chemical classes representing simple and chemically resistant plant-derived compounds and microbe-derived carbon, each with a different maximum degradation rate and microbial uptake efficiency (Fig. 1). Each carbon pool can also contain multiple isotope tracers that do not affect decomposition rates but allow the model to track the fate of labelled inputs. These chemical classes can exist in both unprotected and protected forms. Protected carbon is inaccessible to microbes, and therefore cannot be decomposed until it is converted back into unprotected carbon.

Decomposition rate is determined by a temperature-dependent maximum enzymatic conversion rate, the size of the unprotected carbon pool, and the ratio of microbial biomass to unprotected carbon. The dependence on microbial biomass is expressed in the form of a reverse Michaelis–Menten saturation. With this model form, the decomposition rate scales linearly with total carbon, as long as the ratio of microbial biomass to unprotected carbon remains constant.

The microbial biomass budget represents the balance between uptake of decomposed substrate carbon and the loss of biomass carbon through the combination of cell death and maintenance respiration. Microbes convert a fraction of decomposed carbon into microbial biomass, with a different microbial uptake efficiency for each class. Chemically resistant carbon has a lower uptake efficiency because its complex structure requires more energy expenditure to decompose3. As a result, a higher simple carbon content causes more rapid microbial growth and faster decomposition rates. Microbes lose biomass at a first-order turnover rate, which represents the combination of microbial death and maintenance respiration. Microbial turnover rate depends on the substrate carbon composition, with simple carbon inducing a faster turnover.

The protected carbon pool represents the combination of physical protection in microaggregates and organo-mineral complexes. This carbon is inaccessible to microbes and therefore not subject to decomposition until it is released to the unprotected carbon pool. Carbon moves from the unprotected to the protected pool at a class-specific rate. Carbon derived from microbial turnover has a much higher protection rate, because it is more reactive and binds easily to mineral particles3, 26. Protected carbon moves back to the unprotected pool at a fixed, first-order rate. The equations, parameter values and additional model details are provided in the Supplementary Methods.

We calibrated the microbial and decomposition parameters using published data from an incubation experiment that used isotope-labelled glucose to measure the responses of microbial biomass and decomposition to additions of a simple substrate27. We ran the model at the ecosystem scale using measured temperature, moisture, litter inputs and exudation rates from the Duke and ORNL FACE experiments, and calibrated protected carbon parameters using site measurements of microaggregate and mineral-associated C. See Supplementary Methods for details.

For global simulations, we integrated CORPSE into the Geophysical Fluid Dynamics Laboratory (GFDL) global land model (LM3; refs 24, 25). LM3 simulates vegetation carbon uptake and growth as well as soil physical and hydrologic processes. We calculated root exudation as a fraction of NPP, calibrated to match observed root exudation rates at the Duke FACE experiment6. Rhizosphere volume was calculated as a function of fine root biomass, calibrated to match the values used in the site-scale simulations. First, the model was run for 400 years by cycling pre-industrial climate simulations (years 1062–1112) from a version of the GFDL Earth system model ESM2M (ref. 28). A control simulation, a simulation with elevated root exudation and rhizosphere volume, and a simulation with elevated NPP were then continued for a further 30 years (using climate from years 1900 to 1930). Mean soil carbon values from the last five years of the simulations were compared to establish the effect of elevated root exudation. Land use was not included in the simulations. See Supplementary Methods for details. Quantitative analysis and data visualization were performed using the Matplotlib Python library.

  1. Todd-Brown, K. E. O., Hopkins, F. M., Kivlin, S. N., Talbot, J. M. & Allison, S. D. A framework for representing microbial decomposition in coupled climate models. Biogeochemistry 109, 1933 (2011).
  2. Kuzyakov, Y. Priming effects: Interactions between living and dead organic matter. Soil Biol. Biochem. 42, 13631371 (2010).
  3. Cotrufo, M. F., Wallenstein, M. D., Boot, C. M., Denef, K. & Paul, E. A. The Microbial Efficiency-Matrix Stabilization (MEMS) framework integrates plant litter decomposition with soil organic matter stabilization: Do labile plant inputs form stable soil organic matter? Glob. Change Biol. 19, 988995 (2013).
  4. Von Lützow, M. et al. Stabilization of organic matter in temperate soils: Mechanisms and their relevance under different soil conditions—a review. Eur. J. Soil Sci. 57, 426445 (2006).
  5. Jastrow, J. D. et al. Elevated atmospheric carbon dioxide increases soil carbon. Glob. Change Biol. 11, 20572064 (2005).
  6. Drake, J. E. et al. Increases in the flux of carbon belowground stimulate nitrogen uptake and sustain the long-term enhancement of forest productivity under elevated CO2. Ecol. Lett. 14, 349357 (2011).
http://www.nature.com/nclimate/journal/v4/n12/full/nclimate2436.html
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/4939
Appears in Collections:气候变化事实与影响
科学计划与规划
气候变化与战略

Files in This Item:
File Name/ File Size Content Type Version Access License
nclimate2436.pdf(645KB)期刊论文作者接受稿开放获取View Download

Recommended Citation:
Benjamin N. Sulman. Microbe-driven turnover offsets mineral-mediated storage of soil carbon under elevated CO2[J]. Nature Climate Change,2014-11-10,Volume:4:Pages:1099;1102 (2014).
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Benjamin N. Sulman]'s Articles
百度学术
Similar articles in Baidu Scholar
[Benjamin N. Sulman]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Benjamin N. Sulman]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: nclimate2436.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.