class='kwd-title'>Method name: Soil-atmosphere m'/> Maximizing the information obtained from chamber-based greenhouse gas exchange measurements in remote areas
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Maximizing the information obtained from chamber-based greenhouse gas exchange measurements in remote areas

机译:最大化从偏远地区基于室的温室气体交换测量中获得的信息

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摘要

class="kwd-title">Method name: Soil-atmosphere multi-gas exchange in remote areas class="kwd-title">Keywords: CO2, CH4, N2O, Detection limit, Quantitative and qualitative data class="head no_bottom_margin" id="abs0010title">AbstractMeasurements of greenhouse gas (GHG) fluxes, particularly methane (CH4) and nitrous oxide (N2O) in mountain ecosystems are scarce due to the complexity and unpredictable behavior of these gases, in addition to the remoteness of these ecosystems. In this context, we measured CO2, CH4, and N2O fluxes in four semi-natural pastures in the Pyrenees to investigate their magnitude and range of variability. Our interest was to study GHG phenomena at the patch-level, therefore we chose to measure the gas-exchange using a combination of a gas analyzer and manual chambers. The analyzer used is a photoacoustic field gas-monitor that allows multi-gas instantaneous measurements. After implementing quality control and corrections, data was of variable quality. We tackled this by categorizing data as to providing quantitative or only qualitative information: class="first-line-outdent" id="lis0005">
  • • 50% and 59% of all CH4 and N2O data, respectively, provided quantitative information above the detection limit.
  • • We chose not to discard data providing only qualitative information, because they identify highest- and lowest-flux peak periods and indicate the variability of the fluxes, along different altitudes and under different climatic conditions.
  • • We chose not to give fluxes below detection limit a quantitative value but to acknowledge them as values identifying periods with low fluxes.
  • 机译:<!-fig ft0-> <!-fig @ position =“ anchor” mode =文章f4-> <!-fig mode =“ anchred” f5-> <!-fig / graphic | fig / alternatives / graphic mode =“ anchored” m1-> class =“ kwd-title”>方法名称:边远地区的土壤-大气多气体交换 class =“ kwd-title”>关键字: CO2,CH4,N2O,检出限,定量和定性数据 class =“ head no_bottom_margin” id =“ abs0010title”>摘要温室气体(GHG)通量的测量,尤其是甲烷(由于这些气体的复杂性和不可预测的行为,以及这些生态系统的偏远性,使得山区生态系统中的CH4和一氧化二氮(N2O)稀缺。在这种情况下,我们在比利牛斯山脉的四个半天然草场中测量了CO2,CH4和N2O通量,以研究它们的大小和变化范围。我们的兴趣是在贴片级研究GHG现象,因此我们选择结合使用气体分析仪和手动腔室来测量气体交换。所使用的分析仪是一种光声场气体监测器,可进行多种气体的瞬时测量。在实施质量控制和纠正后,数据的质量是可变的。我们通过对数据进行分类以提供定量或仅定性信息来解决此问题: class =“ first-line-outdent” id =“ lis0005”> <!-list-behavior =简单前缀-word = mark-type = none max-label-size = 9->
  • •所有CH4和N2O数据中分别有50%和59%提供了超过检测限的定量信息。
  • •我们选择不丢弃仅提供定性信息的数据,因为它们可以识别最高和最低通量高峰时段,并指示通量在不同海拔和不同气候条件下的变异性。
  • •我们选择不给通量低于检测极限的定量值,而是将其确认为标识低通量周期的值。
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