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首页> 外文期刊>Biogeochemistry >Process-level controls on CO fluxes from a seasonally snow-covered subalpine meadow soil, Niwot Ridge, Colorado
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Process-level controls on CO fluxes from a seasonally snow-covered subalpine meadow soil, Niwot Ridge, Colorado

机译:科罗拉多州尼沃特里奇(Nowot Ridge)季节性积雪的亚高山草甸草地土壤CO通量的过程级控制

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摘要

Fluxes of CO during the snow-covered season contribute to annual carbon budgets, but our understanding of the mechanisms controlling the seasonal pattern and magnitude of carbon emissions in seasonally snow-covered areas is still developing. In a subalpine meadow on Niwot Ridge, Colorado, soil CO fluxes were quantified with the gradient method through the snowpack in winter 2006 and 2007 and with chamber measurements during summer 2007. The CO fluxes of 0.71 omol mpo sp# in 2006 and 0.86 omol mpo sp# in 2007 are among the highest reported for snow-covered ecosystems in the literature. These fluxes resulted in 156 and 189 g C mpo emitted over the winter, ~30% of the annual soil CO efflux at this site. In general, the CO flux increased during the winter as soil moisture increased. A conceptual model was developed with distinct snow cover zones to describe this as well as the three other reported temporal patterns in CO flux from seasonally snow-covered soils. As snow depth and duration increase, the factor controlling the CO flux shifts from freeze-thaw cycles (zone I) to soil temperature (zone II) to soil moisture (zone III) to carbon availability (zone IV). The temporal pattern in CO flux in each zone changes from periodic pulses of CO during thaw events (zone I), to CO fluxes reaching a minimum when soil temperatures are lowest in mid-winter (zone II), to CO fluxes increasing gradually as soil moisture increases (zone III), to CO fluxes decreasing as available carbon is consumed. This model predicts that interannual variability in snow cover or directional shifts in climate may result in dramatically different seasonal patterns of CO flux from seasonally snow-covered soils.
机译:冰雪覆盖季节的一氧化碳通量有助于年度碳预算,但我们对控制季节性冰雪覆盖地区的季节性模式和碳排放量的机制的理解仍在发展。在科罗拉多州尼沃特岭的一个亚高山草甸上,通过梯度法对2006年和2007年冬季的积雪进行土壤CO通量的定量分析,并于2007年夏季对室内CO的通量进行了定量分析。2006年的CO通量为0.71 omol mpo sp#,对2006年的通量为0.86 omol mpo 2007年的sp#是文献中报道的积雪生态系统数量最高的物种。这些通量导致冬季释放出156和189 g Cpom,约占该地点年土壤CO外排量的30%。通常,冬季随着土壤水分的增加,CO通量增加。开发了一个概念模型,该模型具有不同的积雪区来描述这一特征以及其他三个报告的季节性积雪土壤CO通量的时间模式。随着积雪深度和持续时间的增加,控制CO通量的因素从冻融循环(I区)到土壤温度(II区)再到土壤水分(III区)到碳利用率(IV区)。每个区域中的CO通量的时间模式从融化事件期间的周期性CO脉冲变化(I区),到中冬季土壤温度最低时(II区),CO通量达到最小值,随着土壤温度的升高,CO通量逐渐增加。水分增加(III区),随着可用碳的消耗,CO通量减少。该模型预测,积雪的年际变化或气候的方向变化可能会导致季节性积雪土壤的CO通量的季节性模式发生显着不同。

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