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Soil carbon dioxide emissions in response to precipitation frequency in the Loess Plateau, China

机译:黄土高原地区土壤二氧化碳排放量与降水频率的关系

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Precipitation events can induce episodic CO2 emissions, so called the "Birch Effect", which could be affected by soil microbial activity in dryland cropping systems. Our objective was to evaluate the effect of precipitation frequencies on soil CO2 fluxes and the mechanism responsible for the Birch Effect during fallow after winter wheat harvest in the Loess Plateau of China. A simulated precipitation of 240 mm was applied at 5, 10, and 20 days intervals (I5, I10, and I20, respectively) for 60 days and soil CO2 flux, K2SO4-extractable C (EOC) and microbial biomass C (MBC) were measured. The CO2 flux increased immediately following precipitation events, with peak fluxes of 7.9, 8.2, and 7.7 mu mol CO(2)m(-2) s(-1) for I5, I10, and I20, respectively. Cumulative CO2 flux from days 55-60 was greater for I5 and I10 than I20. The EOC and MBC were not affected by precipitation simulation at the first event, but MBC increased from the first to the last precipitation event, especially for I5 and I10. The CO2 flux was strongly correlated with EOC at the first event (r = 0.73, 0.85 and 0.90 for I5, I10 and I20, P 0.01, respectively), but not correlated with EOC at the last event for I5 and I10 and the correlation decreased from the first to the last event (r = 0.47, P 0.01) for I20. In contrast, the correlation coefficient of CO2 flux with MBC was not significant at first event and increased to 0.81 (P 0.01), 0.44 and 0.47 (P 0.05) at the last event for I5, I10 and I20, respectively. Higher precipitation frequency at shorter intervals increased CO2 emissions compared to lower frequency at longer intervals due to enhanced microbial activity as a result of increased substrate availability from accelerated soil aggregate destruction. The dominant mechanism for the "Birch Effect" shifted from "substrate supply" at the first precipitation event to "microbial stress" at the last event, especially for shorter precipitation intervals. (C) 2015 Elsevier B.V. All rights reserved.
机译:降水事件会诱发间歇性的CO2排放,即所谓的“桦木效应”,这可能会受到旱地种植系统中土壤微生物活动的影响。我们的目的是评估中国黄土高原冬小麦收获后降雨频率对土壤CO2通量的影响以及造成桦木效应的机理。在5天,10天和20天的时间间隔(分别为I5,I10和I20)应用240 mm的模拟降水,持续60天,土壤CO2通量,K2SO4可萃取C(EOC)和微生物量C(MBC)测量。降水事件之后,CO2通量立即增加,分别为I5,I10和I20的峰值通量分别为7.9、8.2和7.7μmol CO(2)m(-2)s(-1)。第55天和第10天第55至60天的累积CO2通量大于I20。 EOC和MBC在第一次事件中不受降水模拟的影响,但MBC从第一次降水事件到最后一次降水事件均增加,特别是对于I5和I10。在第一个事件中,CO2通量与EOC密切相关(I5,I10和I20分别为r = 0.73、0.85和0.90,P <0.01),但与I5和I10的最后一个事件中的EOC没有显着相关性。 I20从第一个事件到最后一个事件减少(r = 0.47,P <0.01)。相比之下,CO5通量与MBC的相关系数在第一次事件中并不显着,在I5,I10和I20的最后一次事件中分别增加到0.81(P <0.01),0.44和0.47(P <0.05)。与之相比,较长间隔的较高降水频率增加了二氧化碳的排放,而较长间隔的较低降水频率则是由于微生物活性增强,这是由于土壤团聚体加速破坏而增加了可利用的基质,从而增加了二氧化碳的排放。 “桦木效应”的主要机制从第一次降水事件的“基质供应”转变为最后一次事件的“微生物压力”,特别是对于较短的降水间隔。 (C)2015 Elsevier B.V.保留所有权利。

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