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首页> 外文期刊>The Science of the Total Environment >Gain in carbon: Deciphering the abiotic and biotic mechanisms of biochar-induced negative priming effects in contrasting soils
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Gain in carbon: Deciphering the abiotic and biotic mechanisms of biochar-induced negative priming effects in contrasting soils

机译:碳中的增益:在对比土壤中解密生物炭诱导的生物凝固效应的非生物和生物机制

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摘要

The biochar-induced priming effects (PEs) were investigated by applying maize straw (C4) derived biochar to eight C3 soils, with a gradient of pH and a sub-gradient of soil organic carbon (SOC). To decipher the physico-chemical and microbial mechanisms, we adopted C-isotopic analysis, high-throughput sequencing and multivariate statistical analyses such as random forest (RF) and structure equation modeling (SEM). Negative and neutral PEs were observed up to -48.5% of relative PEs during 28 days of incubation. All the acidic soils exhibited negative PEs, so as the neutral Alfisol and alkaline Aridisol, which had a suppression effect on SOC mineralization accounted for -29.4 and -32.0% of relative PEs. Among all abiotic factors, soil silt-clay fraction and the initial pH values play the most important roles in PEs determination through directly inhibiting PEs by protection SOC and indirectly shaping bacterial communities respectively. On the whole community level, biochar treatments defined much less microbiome (0.6% and 1.2% for variance of bacterial and fungal community) than soil types (93.5% and 83.3% respectively) across soils. Thus, the initial community (i.e., bacteria alpha-diversity and copiotrophic bacteria as revealed by SEM) of different soils might be more critical for PE prediction. Furthermore, co-occurrence network analysis indicated out-competition of fungi by bacteria with increase of mutual exclusion and decrease of fungal occupancy. This could exacerbate negative PEs in soils with lower bacterial alpha-diversity and dominance by copiotrophys due to less functional complementary for recalcitrant SOC decomposition.
机译:通过将玉米秸秆(C4)衍生的生物炭施加至八个C3土壤,研究了生物炭诱导的灌注效应(PE),具有pH的梯度和土壤有机碳(SOC)的亚梯度。为了破译物理化学和微生物机制,我们采用了C-同位素分析,高通量测序和多变量统计分析,如随机森林(RF)和结构方程模型(SEM)。在28天孵育期间观察到阴性和中性PE至-48.5%的相对PE。所有酸性土壤表现出负面影响,因此中性丙醇和碱性aridisol对SoC矿化的抑制作用占-29.4和-32.0%的相对PES。在所有非生物因素中,土壤淤泥粘土馏分和初始pH值通过直接通过保护SoC和间接塑造细菌群体直接抑制PE来发挥PES确定中最重要的作用。在整个社区水平上,生物炭治疗比土壤类型(细菌和真菌群落的差异为0.6%和1.2%)定义得多,比土壤中的土壤类型(分别为93.5%和83.3%)。因此,不同土壤的初始群落(即,SEM所揭示的细菌α-多样性和植物营养细菌)对PE预测可能更为关键。此外,共发生网络分析表明细菌的互毒竞争,随着互斥和降低真菌占用而增加。由于顽固SOC分解的功能互补较小,这可以加剧具有较低细菌α-多样性和副乳糖的统治性的阴性阴性。

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  • 来源
    《The Science of the Total Environment》 |2020年第1期|141057.1-141057.10|共10页
  • 作者单位

    Institute of Soil and Water Resources and Environmental Science Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment Zhejiang University Hangzhou 310058 China Hebei Key Laboratory of Wetland Ecology and Conservation Hengshui University Hengshui 053000 China;

    Institute of Soil and Water Resources and Environmental Science Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment Zhejiang University Hangzhou 310058 China;

    Department of Primary Industries Elizabeth Macarthur Agricultural Institute Menangle NSW 2568 Australia;

    Institute of Soil and Water Resources and Environmental Science Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment Zhejiang University Hangzhou 310058 China;

    Institute of Soil and Water Resources and Environmental Science Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment Zhejiang University Hangzhou 310058 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Negative priming effects; Structural equation modeling; Microbial diversity; Bacterial-fungal community interaction; Soil pH; Silt-clay;

    机译:负灌注效应;结构方程模型;微生物多样性;细菌 - 真菌群落互动;土壤pH;淤泥粘土;

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