A modeling approach to investigate drivers, variability and uncertainties in O2 fluxes and O2 : CO2 exchange ratios in a temperate forest

IF 3.9 2区 地球科学 Q1 ECOLOGY Biogeosciences Pub Date : 2023-10-06 DOI:10.5194/bg-20-4087-2023
Yuan Yan, Anne Klosterhalfen, Fernando Moyano, Matthias Cuntz, Andrew C. Manning, Alexander Knohl
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Abstract

Abstract. The O2 : CO2 exchange ratio (ER) between terrestrial ecosystems and the atmosphere is a key parameter for partitioning global ocean and land carbon fluxes. The long-term terrestrial ER is considered to be close to 1.10 mol of O2 consumed per mole of CO2 produced. Due to the technical challenge in measuring directly the ER of entire terrestrial ecosystems (EReco), little is known about variations in ER at hourly and seasonal scales, as well as how different components contribute to EReco. In this modeling study, we explored the variability in and drivers of EReco and evaluated the hypothetical uncertainty in determining ecosystem O2 fluxes based on current instrument precision. We adapted the one-dimensional, multilayer atmosphere–biosphere gas exchange model “CANVEG” to simulate hourly EReco from modeled O2 and CO2 fluxes in a temperate beech forest in Germany. We found that the modeled annual mean EReco ranged from 1.06 to 1.12 mol mol−1 within the 5-year study period. Hourly EReco showed strong variations over diel and seasonal cycles and within the vertical canopy profile. The determination of ER from O2 and CO2 mole fractions in air above and within the canopy (ERconc) varied between 1.115 and 1.15 mol mol−1. CANVEG simulations also indicated that ecosystem O2 fluxes could be derived with the flux-gradient method using measured vertical gradients in scalar properties, as well as fluxes of CO2, sensible heat and latent energy derived from eddy covariance measurements. Owing to measurement uncertainties, however, the uncertainty in estimated O2 fluxes derived with the flux-gradient approach could be as high as 15 µmol m−2 s−1, which represented the 90 % quantile of the uncertainty in hourly data with a high-accuracy instrument. We also demonstrated that O2 fluxes can be used to partition net CO2 exchange fluxes into their component fluxes of photosynthesis and respiration if EReco is known. The uncertainty of the partitioned gross assimilation ranged from 1.43 to 4.88 µmol m−2 s−1 assuming a measurement uncertainty of 0.1 or 2.5 µmol m−2 s−1 for net ecosystem CO2 exchange and from 0.1 to 15 µmol m−2 s−1 for net ecosystem O2 exchange, respectively. Our analysis suggests that O2 measurements at ecosystem scale have the potential to partition net CO2 fluxes into their component fluxes, but further improvement in instrument precision is needed.
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研究温带森林中O2通量和O2: CO2交换比的驱动因素、变率和不确定性的建模方法
摘要陆地生态系统与大气之间的O2: CO2交换比(ER)是划分全球海洋和陆地碳通量的关键参数。陆地的长期内耗被认为接近每产生一摩尔二氧化碳消耗1.10摩尔氧气。由于直接测量整个陆地生态系统(EReco)的ER的技术挑战,人们对逐时和季节尺度上的ER变化以及不同组分对EReco的贡献知之甚少。在这项建模研究中,我们探讨了EReco的变异性和驱动因素,并评估了基于当前仪器精度确定生态系统O2通量的假设不确定性。我们采用一维、多层大气-生物圈气体交换模型“CANVEG”来模拟德国温带山毛榉林中每小时的O2和CO2通量。在5年的研究期间,模拟的年平均EReco在1.06 ~ 1.12 mol mol−1之间。逐时EReco在昼夜周期和季节周期以及冠层垂直剖面内表现出强烈的变化。林冠上和林冠内空气中O2和CO2摩尔分数(ERconc)的ER测定值在1.115 ~ 1.15 mol mol−1之间。CANVEG模拟还表明,生态系统的O2通量可以使用通量梯度法,利用测量到的标量性质垂直梯度,以及由涡流相关方差测量得到的CO2、感热和潜能通量。然而,由于测量的不确定度,用通量梯度法得出的估计氧通量的不确定度可高达15µmol m−2 s−1,这代表了高精度仪器每小时数据不确定度的90%分位。我们还证明,如果EReco已知,O2通量可以用来将净CO2交换通量划分为光合作用和呼吸作用的组分通量。假设净生态系统CO2交换和净生态系统O2交换的测量不确定度分别为0.1或2.5µmol m−2 s−1和0.1至15µmol m−2 s−1,那么划分的总同化的不确定度范围为1.43至4.88µmol m−2 s−1。我们的分析表明,在生态系统尺度上的O2测量有可能将净CO2通量划分为其组分通量,但需要进一步提高仪器精度。
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来源期刊
Biogeosciences
Biogeosciences 环境科学-地球科学综合
CiteScore
8.60
自引率
8.20%
发文量
258
审稿时长
4.2 months
期刊介绍: Biogeosciences (BG) is an international scientific journal dedicated to the publication and discussion of research articles, short communications and review papers on all aspects of the interactions between the biological, chemical and physical processes in terrestrial or extraterrestrial life with the geosphere, hydrosphere and atmosphere. The objective of the journal is to cut across the boundaries of established sciences and achieve an interdisciplinary view of these interactions. Experimental, conceptual and modelling approaches are welcome.
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