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Apparent seasonal cycle in isotopic discrimination of carbon in the atmosphere and biosphere due to vapor pressure deficit

机译:由于蒸气压不足,大气和生物圈中碳同位素识别的明显季节周期

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We explore seasonal variability in isotopic fractionation by analyzing observational data from the atmosphere and the biosphere, as well as simulated data from a global model. Using simulated values of atmospheric CO_2 and its carbon isotopic composition, we evaluated different methods for specifying background concentrations when calculating the isotopic signature of source CO_2 (δ_s) to the atmosphere. Based on this evaluation, we determined that free troposphere measurements should be used when available as a background reference when calculating δ_s from boundary layer observations. We then estimate the seasonal distribution of δ_s from monthly climatologies derived from several atmospheric sampling sites. This approach yields significant seasonal variations in δ_s with more enriched values during the summer months that exceed the uncertainty of δ_s estimated for any given month. Intra-annual measurements of δ~(13)C in the cellulose of Pinus taeda growing in the southeastern U.S. also reveal seasonal isotopic variations that are consistent in phase but not necessarily amplitude with atmospherically derived estimates of δ_s. Coherent seasonal patterns in δ_s inferred from the atmosphere and observed in the biosphere were not consistent with the seasonal isotopic discrimination simulated by a commonly used biosphere model. However, δ_s seasonality consistent with observations from the atmosphere and biosphere was retrieved with a revised biosphere model when stomatal conductance, and thus isotopic discrimination, was allowed to vary in response to vapor pressure deficit rather than relative humidity. Therefore, in regions where vapor pressure deficit and relative humidity are positively covariant over the growth season, such as the sub-tropics, different stomatal conductance models may yield very different estimates of CO_2 and H_2O exchange between the biosphere and atmosphere.
机译:通过分析来自大气和生物圈的观测数据以及来自全球模型的模拟数据,我们探索了同位素分级的季节性变化。利用大气CO_2及其碳同位素组成的模拟值,当计算源CO_2(δ_s)到大气的同位素特征时,我们评估了指定背景浓度的不同方法。基于此评估,我们确定从边界层观测值计算δ_s时,应使用自由对流层测量作为背景参考。然后,我们根据来自多个大气采样点的每月气候估算δ_s的季节性分布。这种方法会产生明显的δ_s季节性变化,在夏季月份具有更丰富的值,超过了任何给定月份估计的δ_s的不确定性。在美国东南部生长的针叶松的纤维素中δ〜(13)C的年内测量值还显示出季节性同位素变化,其在相位上是一致的,但不一定与从大气中获得的δ_s估计值相一致。从大气推断并在生物圈中观测到的δ_s的连贯季节性模式与常用生物圈模型模拟的季节性同位素判别不一致。但是,当气孔导度和同位素判别响应于蒸汽压不足而不是相对湿度而变化时,可以使用修订后的生物圈模型检索与大气和生物圈观测结果一致的δ_s季节。因此,在亚热带地区,蒸汽压赤字和相对湿度在整个生长季节呈正协方差的区域,不同的气孔电导模型可能会得出生物圈与大气之间的CO_2和H_2O交换的估计值非常不同。

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