Distinct respiratory responses of soils to complex organic substrate are governed predominantly by soil architecture and its microbial community.

Distinct respiratory responses of soils to complex organic substrate are governed predominantly by soil architecture and its microbial community.
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DOI:
10.1016/j.soilbio.2016.09.015
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发表时间:
2016-12
影响因子:
9.7
通讯作者:
Ritz, K.
Ritz, K.
中科院分区:
农林科学1区
文献类型:
--
作者:
Fraser, F. C.;Todman, L. C.;Corstanje, R.;Deeks, L. K.;Harris, J. A.;Pawlett, M.;Whitmore, A. P.;Ritz, K.

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控制土壤有机质(OM)周转的因素,包括基质质量、气候、环境和生物,是众所周知的,但由于土壤系统相互联系的性质,它们的相对重要性很难确定。尽管这些模型具有揭示复杂相互作用的潜在能力,但这使得它们难以纳入OM周转或营养循环的机制模型。使用高时间分辨率呼吸计(6分钟测量间隔),我们在添加复杂有机基质(青大麦粉)后的5天内监测了来自英格兰和威尔士各地的67种土壤的呼吸反应。观察到四种呼吸反应原型,其特征是不同的呼吸速率以及不同的时间依赖模式。我们还发现,根据土壤的某些物理和化学性质以及微生物群落的大小和表型结构,我们可以预测土壤将表现出哪种类型的呼吸行为,准确率为95%。利用贝叶斯信念网络,确定了容重、微生物生物量碳、持水量和微生物群落表型是预测土壤呼吸响应的四个最重要因素。这些结果表明,微生物群落的大小和组成与土壤的物理化学性质一样重要,可以控制土壤对OM添加的呼吸反应。这样的组合表明,土壤的“建筑”,即环境的空间组织的整合以及在孔隙网络中生活和运作的社区之间的相互作用,在调节这些过程中是至关重要的。四种不同类型土壤对复合基质添加的呼吸响应。在CO2外排的时间和规模方面,反应不同。分类类型主要取决于土壤结构和微生物群落组成。
Factors governing the turnover of organic matter (OM) added to soils, including substrate quality, climate, environment and biology, are well known, but their relative importance has been difficult to ascertain due to the interconnected nature of the soil system. This has made their inclusion in mechanistic models of OM turnover or nutrient cycling difficult despite the potential power of these models to unravel complex interactions. Using high temporal-resolution respirometery (6 min measurement intervals), we monitored the respiratory response of 67 soils sampled from across England and Wales over a 5 day period following the addition of a complex organic substrate (green barley powder). Four respiratory response archetypes were observed, characterised by different rates of respiration as well as different time-dependent patterns. We also found that it was possible to predict, with 95% accuracy, which type of respiratory behaviour a soil would exhibit based on certain physical and chemical soil properties combined with the size and phenotypic structure of the microbial community. Bulk density, microbial biomass carbon, water holding capacity and microbial community phenotype were identified as the four most important factors in predicting the soils’ respiratory responses using a Bayesian belief network. These results show that the size and constitution of the microbial community are as important as physico-chemical properties of a soil in governing the respiratory response to OM addition. Such a combination suggests that the 'architecture' of the soil, i.e. the integration of the spatial organisation of the environment and the interactions between the communities living and functioning within the pore networks, is fundamentally important in regulating such processes. Four different classes of soil respiratory response to complex substrate addition. The responses differ with respect to timing and scale of CO2 efflux. Class type primarily depends on soil structure and microbial community composition.
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