A new concept for modelling the moisture dependence of heterotrophic soil respiration

IF 9.8 1区 农林科学 Q1 SOIL SCIENCE
Zhongdong Huang , Yuan Liu , Pengfei Huang , Zhongyang Li , Xiaoxian Zhang
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引用次数: 1

Abstract

The moisture dependence of heterotrophic soil respiration is a key factor affecting the uncertainty in predicting the response of soil organic carbon (SOC) to global warming. Considering that heterotrophic respiration from unsaturated soils is primarily driven by microbial reduction of oxygen (O2), we propose a new concept to model the respiration by tracking dissolution of gaseous O2 and its subsequent diffusion and microbial reduction at hydrated microsite in the pore space of soil. Total respiration from a soil sample is calculated by summing the O2 reduced by all microbes in the soil. This allows us to separate physical processes and microbial activity occurring at microsites and incorporate pore-scale substrate heterogeneity, macropores and other factors explicitly into the model. We show that scaling up these microscopic physical processes over a soil sample makes soil moisture, temperature, and other factors inherently integrated in their influence on microbial respiration, and that a change in one of them affects the response of the respiration to the change in others. Comparison with experimental data shows the model can reproduce the diverse moisture-respiration relationships observed from various experiments and predict the change in soil respiration with temperature. It is noteworthy to point out that previous studies had attributed the variations in the moisture and temperature sensitivity of heterotrophic soil respiration to microbial adaptation; herein we demonstrate that changes in soil structure and physical processes can also give rise to such variations. Distinguishing between physical and microbial effects in data analysis and modelling is therefore crucial, as mistaking physical effects for microbial adaptation would lead to errors in predicting the response of SOC to environmental changes.

模拟异养土壤呼吸水分依赖性的一个新概念
异养土壤呼吸的水分依赖性是影响土壤有机碳(SOC)对全球变暖响应预测不确定性的关键因素。考虑到非饱和土壤的异养呼吸主要是由微生物对氧气的还原驱动的,我们提出了一个新的概念,通过跟踪气态O2的溶解及其随后在土壤孔隙中水化微点的扩散和微生物还原来模拟呼吸。土壤样品的总呼吸是通过土壤中所有微生物所还原的氧的总和来计算的。这使我们能够分离发生在微位点的物理过程和微生物活动,并将孔隙尺度的基质异质性、大孔隙和其他因素明确纳入模型中。我们表明,在土壤样品上放大这些微观物理过程,使土壤湿度、温度和其他因素内在地整合在它们对微生物呼吸的影响中,其中一个因素的变化会影响呼吸对其他因素变化的响应。与实验数据的比较表明,该模型能较好地再现各种实验观测到的不同水分-呼吸关系,并能预测土壤呼吸随温度的变化。值得注意的是,以往的研究将异养土壤呼吸的湿度和温度敏感性变化归因于微生物的适应;在这里,我们证明了土壤结构和物理过程的变化也可以引起这种变化。因此,在数据分析和建模中区分物理效应和微生物效应是至关重要的,因为将物理效应误认为微生物适应将导致在预测有机碳对环境变化的响应时出现错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Soil Biology & Biochemistry
Soil Biology & Biochemistry 农林科学-土壤科学
CiteScore
16.90
自引率
9.30%
发文量
312
审稿时长
49 days
期刊介绍: Soil Biology & Biochemistry publishes original research articles of international significance focusing on biological processes in soil and their applications to soil and environmental quality. Major topics include the ecology and biochemical processes of soil organisms, their effects on the environment, and interactions with plants. The journal also welcomes state-of-the-art reviews and discussions on contemporary research in soil biology and biochemistry.
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