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应用双池模型研究 CO2 浓度升高下土壤碳动态。

Application of a two-pool model to soil carbon dynamics under elevated CO2.

机构信息

Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, 86011, USA.

Department of Botany and Microbiology, University of Oklahoma, Norman, OK, 73019-0245, USA.

出版信息

Glob Chang Biol. 2015 Dec;21(12):4293-7. doi: 10.1111/gcb.13074.

Abstract

Elevated atmospheric CO2 concentrations increase plant productivity and affect soil microbial communities, with possible consequences for the turnover rate of soil carbon (C) pools and feedbacks to the atmosphere. In a previous analysis (Van Groenigen et al., 2014), we used experimental data to inform a one-pool model and showed that elevated CO2 increases the decomposition rate of soil organic C, negating the storage potential of soil. However, a two-pool soil model can potentially explain patterns of soil C dynamics without invoking effects of CO2 on decomposition rates. To address this issue, we refit our data to a two-pool soil C model. We found that CO2 enrichment increases decomposition rates of both fast and slow C pools. In addition, elevated CO2 decreased the carbon use efficiency of soil microbes (CUE), thereby further reducing soil C storage. These findings are consistent with numerous empirical studies and corroborate the results from our previous analysis. To facilitate understanding of C dynamics, we suggest that empirical and theoretical studies incorporate multiple soil C pools with potentially variable decomposition rates.

摘要

大气中二氧化碳浓度的升高会提高植物的生产力,并影响土壤微生物群落,这可能会影响土壤碳(C)库的周转率,并对大气产生反馈。在之前的分析(Van Groenigen 等人,2014 年)中,我们使用实验数据为一个单库模型提供了信息,并表明升高的 CO2 会增加土壤有机 C 的分解速率,从而否定了土壤的储存潜力。然而,双库土壤模型可以在不考虑 CO2 对分解速率影响的情况下,潜在地解释土壤 C 动态的模式。为了解决这个问题,我们重新拟合了我们的数据到一个双库土壤 C 模型中。我们发现,CO2 富集增加了快和慢 C 库的分解速率。此外,升高的 CO2 降低了土壤微生物的碳利用效率(CUE),从而进一步减少了土壤 C 的储存。这些发现与众多经验研究一致,并证实了我们之前分析的结果。为了便于理解 C 动态,我们建议经验和理论研究纳入具有潜在可变分解速率的多个土壤 C 库。

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