微生物坏死团对土壤变暖的反应:荟萃分析

IF 2.1 Q3 SOIL SCIENCE
Megan F. Mitchell, M. G. MacLean, Kristen M. DeAngelis
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引用次数: 0

摘要

微生物源土壤有机质(SOM)是土壤有机质的重要来源,对气候变暖非常敏感。土壤分类系统考虑了影响土壤有机质的土壤理化性质,暗示了将分类系统纳入土壤碳(C)预测的潜在效用。目前,关于气候变暖对坏死团块的影响以及这些反应在不同参考土壤组之间是否存在差异,尚无共识。为了估计坏死团块对气候变暖的脆弱性,我们通过氨基糖分析对研究原位实验土壤变暖对微生物坏死团块影响的出版物进行了荟萃分析。我们建立了广义线性模型(GLM)来探讨土壤类群和变暖方法是否可以用于预测坏死团块储量。我们的研究结果表明,在不同的参考土壤组中,对坏死块的增温效应大小并不均匀。具体而言,在永久冻土中,变暖效应大小一般为正,而在钙质土壤中为负。然而,变暖并没有显著改变平均坏死块。我们的GLMs检测到具有相似质地和粘土含量的土壤组之间的尸块有显著差异。因此,我们提倡进一步研究,以确定在土壤组中捕获的坏死块的预测因子,而不是在土壤质地中捕获的预测因子。我们还表明,根据坏死块生物标志物的不同,变暖方法是坏死块的重要预测因子。未来的研究工作应该揭示被动变暖和主动变暖方法如何影响坏死团反应背后的机制原因。我们的研究强调需要更多的原位土壤变暖实验来测量微生物坏死块,因为这将改善未来气候情景下SOM反馈的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microbial necromass response to soil warming: A meta-analysis
Microbial-derived soil organic matter (SOM), or necromass, is an important source of SOM and is sensitive to climate warming. Soil classification systems consider soil physicochemical properties that influence SOM, hinting at the potential utility of incorporating classification systems in soil carbon (C) projections. Currently, there is no consensus on climate warming effects on necromass and if these responses vary across reference soil groups. To estimate the vulnerability of necromass to climate warming, we performed a meta-analysis of publications examining in situ experimental soil warming effects on microbial necromass via amino sugar analysis. We built generalized linear models (GLM) to explore if soil groups and warming methodologies can be used to predict necromass stocks. Our results showed that warming effect sizes on necromass were not uniform across reference soil groups. Specifically, warming effect sizes were generally positive in permafrost soils but negative in calcic soils. However, warming did not significantly change average necromass. Our GLMs detected significant differences in necromass across soil groups with similar texture and clay percentage. Thus, we advocate for further research to define what predictors of necromass are captured in soil group but not in soil texture. We also show warming methodology is a significant predictor of necromass, depending on the necromass biomarker. Future research efforts should uncover the mechanistic reason behind how passive versus active warming methodology influences necromass responses. Our study highlights the need for more in situ soil warming experiments measuring microbial necromass as this will improve predictions of SOM feedback under future climate scenarios.
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