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首页> 外文期刊>Biogeosciences >Ecological controls on Nsub2/subO emission in surface litter and near-surface soil of a managed grassland: modelling and measurements
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Ecological controls on Nsub2/subO emission in surface litter and near-surface soil of a managed grassland: modelling and measurements

机译:人工草地草地凋落物和近地表土壤N 2 O排放的生态控制:建模与测量

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摘要

Large variability in Nsub2/subO emissions from managed grasslands may occur because most emissions originate in surface litter or near-surface soil where variability in soil water content (iθ/i) and temperature (iT/isubs/sub) is greatest. To determine whether temporal variability in iθ/i and iT/isubs/sub of surface litter and near-surface soil could explain this in Nsub2/subO emissions, a simulation experiment was conducted with iecosys/i, a comprehensive mathematical model of terrestrial ecosystems in which processes governing Nsub2/subO emissions were represented at high temporal and spatial resolution. Model performance was verified by comparing Nsub2/subO emissions, COsub2/sub and energy exchange, and iθ/i and iT/isubs/sub modelled by iecosys/i with those measured by automated chambers, eddy covariance (EC) and soil sensors on an hourly timescale during several emission events from 2004 to 2009 in an intensively managed pasture at Oensingen, Switzerland. Both modelled and measured events were induced by precipitation following harvesting and subsequent fertilizing or manuring. These events were brief (2–5?days) with maximum Nsub2/subO effluxes that varied from ?&??1?mgmspace linebreak="nobreak" width="0.125em"/Nmspace linebreak="nobreak" width="0.125em"/msup?2/supmspace linebreak="nobreak" width="0.125em"/hsup?1/sup in early spring and autumn to ?&??3?mgmspace linebreak="nobreak" width="0.125em"/Nmspace width="0.125em" linebreak="nobreak"/msup?2/supmspace linebreak="nobreak" width="0.125em"/hsup?1/sup in summer. Only very small emissions were modelled or measured outside these events. In the model, emissions were generated almost entirely in surface litter or near-surface (0–2?cm) soil, at rates driven by N availability with fertilization vs. N?uptake with grassland regrowth and by Osub2/sub supply controlled by litter and soil wetting relative to Osub2/sub demand from microbial respiration. In the model, NOsubix/i/sub availability relative to Osub2/sub limitation governed both the reduction of more oxidized electron acceptors to Nsub2/subO and the reduction of Nsub2/subO to Nsub2/sub, so that the magnitude of Nsub2/subO emissions was not simply related to surface and near-surface iθ/i and iT/isubs/sub. Modelled Nsub2/subO emissions were found to be sensitive to defoliation intensity and timing which controlled plant N?uptake and soil iθ/i and iT/isubs/sub prior to and during emission events. Reducing leaf area index (LAI) remaining after defoliation to half that under current practice and delaying harvesting by 5?days raised modelled Nsub2/subO emissions by as much as 80?% during subsequent events and by an average of 43?% annually. Modelled Nsub2/subO emissions were also found to be sensitive to surface soil properties. Increasing near-surface bulk density by 10?% raised Nsub2/subO emissions by as much as 100?% during emission events and by an average of 23?% annually. Relatively small spatial variation in management practices and soil surface properties could therefore cause the large spatial variation in Nsub2/subO emissions commonly found in field studies. The global warming potential from annual
机译:受管理草地的N 2 O排放可能存在较大的变化,这是因为大多数排放源自表层凋落物或近表层土壤,其中土壤含水量(θ)和温度( T s )最大。为了确定地表凋落物和近地表土壤的θ和 T s 的时间变异性是否可以用N 2 O排放,使用 ecosys (一个陆地生态系统的综合数学模型)进行了模拟实验,其中以高时空分辨率表示了控制N 2 O排放的过程。通过比较N 2 O排放,CO 2 和能量交换以及θ和 T <由 ecosys 建模的sub> s ,在2004年至2009年的几个排放事件中,在一个集约化管理的牧场中,以自动箱,涡动协方差(EC)和土壤传感器在每小时时间尺度上进行测量瑞士Oensingen。收获和随后施肥或施肥后的降水都诱发了模拟事件和实测事件。这些事件是短暂的(2–5天),最大N 2 O流出量从?<?1?mg 变化N m ?2 h ?1 在早春和秋季到?3?mg N m 在夏天?2 h ?1 。在这些事件之外,仅对很小的排放进行了建模或测量。在该模型中,排放几乎全部在表层或近表层(0–2?cm)土壤中产生,其速率受施肥的氮可利用量与草地再生长的氮吸收和O 2 供给相对于微生物呼吸的O 2 需求。在该模型中,相对于O 2 限制,NO x 的可用性控制了更多氧化电子受体还原为N 2 O和将N 2 O还原为N 2 ,因此N 2 O排放的大小不仅与表面有关和近地表θ和 T s 。发现模拟的N 2 O排放对落叶强度和时间敏感,这些时间控制了植物的氮吸收以及土壤θ和 T s 在排放事件之前和之中。将落叶后的叶面积指数(LAI)减少至目前的一半,并将收获推迟5天,在随后的事件中将模拟N 2 O排放量最多提高80%,平均水平每年43%。还发现模拟的N 2 O排放对表层土壤特性敏感。在排放事件期间,将近地表堆积密度提高10%,可使N 2 O排放量增加多达100%,平均每年增加23%。因此,在管理实践和土壤表面特性中相对较小的空间变化可能会导致田间研究中常见的N 2 O排放量的较大空间变化。每年全球变暖的潜力

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