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碳增益:解析对比土壤中生物炭诱导负激发效应的非生物和生物机制。

Gain in carbon: Deciphering the abiotic and biotic mechanisms of biochar-induced negative priming effects in contrasting soils.

机构信息

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.

出版信息

Sci Total Environ. 2020 Dec 1;746:141057. doi: 10.1016/j.scitotenv.2020.141057. Epub 2020 Jul 22.

Abstract

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 physicochemical 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.

摘要

生物炭诱导的激发效应(PEs)通过将玉米秸秆(C4)衍生的生物炭应用于 8 种 C3 土壤进行研究,这些土壤的 pH 值呈梯度分布,土壤有机碳(SOC)呈次梯度分布。为了解释其理化和微生物机制,我们采用了 C 同位素分析、高通量测序以及随机森林(RF)和结构方程建模(SEM)等多元统计分析方法。在 28 天的培养过程中,观察到了负激发效应和中性激发效应,最大相对激发效应达到了-48.5%。所有酸性土壤均表现出负激发效应,中性的淋溶土和碱性的荒漠土也表现出了负激发效应,对 SOC 矿化的抑制作用分别达到了-29.4%和-32.0%。在所有非生物因素中,土壤粉粒-粘粒含量和初始 pH 值通过直接保护 SOC 抑制激发效应和间接塑造细菌群落来分别影响激发效应的确定,这两个因素起着最重要的作用。在整个微生物群落水平上,生物炭处理对细菌和真菌群落的变异性的影响较小,分别为 0.6%和 1.2%,而土壤类型的影响较大,分别为 93.5%和 83.3%。因此,不同土壤的初始群落(即 SEM 揭示的细菌多样性和富营养型细菌)可能对 PE 预测更为关键。此外,共生网络分析表明,随着互斥性的增加和真菌占据度的降低,细菌对真菌的竞争加剧。这可能会加剧低细菌多样性和富营养型细菌优势土壤中的负激发效应,因为对于难分解的 SOC 分解,功能互补性较少。

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