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Impact of soil properties on the soil methane flux response to biochar addition: a meta-analysis

机译:土壤性质对生物炭土壤甲烷通量反应的影响:Meta分析

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In an effort to optimize soil management practices that can help mitigate terrestrial carbon emissions, biochar has been applied to a wide range of soil environments to examine its effect on soil greenhouse gas emissions. Such studies have shown that the soil methane (CH4) flux response can vary widely leading to both increase and decrease in CH4 flux upon biochar amendment. To address this discrepancy, multiple meta-analysis studies have been performed in recent years to determine the key factors that may control the direction of CH4 flux upon biochar treatment. However, even comparing across conclusions from meta-analyses reveals disagreement upon which factors ultimately determine the change in direction and magnitude of CH4 flux due to biochar addition. Furthermore, using multiple observations from a single study can lead to misinterpretation of the influence of a factor within a meta-analysis due to non-independence. In this study, we use a multivariate meta-regression approach that allows factor interactions to investigate which biochar, soil, and management practice factors in combination or individually best explain the CH4 flux response in past biochar amendment studies. Our results show that the interaction of multiple soil factors (i.e., water saturation, soil texture, and soil organic carbon content) best explains the soil CH4 flux response to biochar addition (minimum deviance information criterion (DIC) value along with lowest heterogeneity) as compared to all models utilizing individual factors alone. These findings provide insight into the specific soil factors that should be taken into account simultaneously when optimizing the CH4 flux response to biochar amendments and building empirical models to quantitatively predict soil CH4 flux.
机译:为了优化可以帮助减轻陆地碳排放的土壤管理实践,BioChar已应用于各种土壤环境,以检查其对土壤温室气体排放的影响。这些研究表明,土壤甲烷(CH 4)通量反应可以随着生物炭修正案的增加和降低CH 4通量而变化。为了解决这种差异,近年来已经进行了多个元分析研究,以确定可以控制在生物炭治疗时CH4通量方向的关键因素。然而,甚至在荟萃分析的结论中甚至比较揭示了由于生物炭加入引起的因素最终决定了CH4通量的方向和大小的变化。此外,使用来自单一研究的多种观察可能导致由于不独立而导致在META分析中的影响因素的影响。在这项研究中,我们使用多元元回归方法,使因子相互作用来研究哪些生物炭,土壤和管理实践因素在过去的生物炭修正研究中的组合或单独最佳地解释CH4通量反应。我们的研究结果表明,多种土壤因素(即水饱和度,土壤质地和土壤有机碳含量)的相互作用最能解释土壤CH4通量对生物炭加成(最小偏差信息标准(DIC)值以及最低异质性)的响应与仅限单独因素的所有模型相比。这些发现提供了对特定土壤因素的洞察力,当优化对生物炭修正案的CH4通量反应并建立经验模型来定量预测土壤CH4通量时应同时考虑。

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