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Basal rates of soil respiration are correlated with photosynthesis in a mixed temperate forest

机译:温带混交林中土壤呼吸的基础速率与光合作用相关

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Many field studies have demonstrated that soil temperature explains most of the temporal variation in soil respiration (SR). However, there is increasing evidence to suggest that SR is also influenced by current, or recent, photosynthate. Accordingly, seasonal changes in SR nominally attributed to temperature may, in part, be due to seasonality in photosynthesis. Within a mixed coniferous-deciduous temperate forest, we measured SR and used the process model SECRETS to test whether seasonal changes in photosynthesis influence seasonal differences in SR. Measurements were made in six adjacent plots (from pure evergreen to pure deciduous) that exhibited a gradient in the seasonality of photosynthesis. Within all six plots, we found strong correlations between the basal rate of SR (BR; defined as the SR at 10 degrees C) and modeled photosynthesis (i.e. gross primary productivity; GPP). Moreover, we observed larger seasonal changes in BR in those plots that exhibited larger seasonal changes in photosynthesis, as compared with plots with smaller changes in photosynthesis. This is relevant because estimates of the Q(10) of SR (Q(10) is the relative change in a process rate per temperature change of 10 degrees C) typically assume a constant BR. Our results therefore support the hypothesis that differences in the apparent Q(10) of SR (apparent Q(10)=Q(10) derived from field measurements of SR and temperature) among studies may, in large part, be related to seasonal differences in photosynthesis. We suggest that variation in stand structure and species composition and, thus, in the photosynthetic signatures, induce different seasonal changes in BR via differences in the belowground supply of labile carbon. If these seasonal changes in BR are not properly accounted for, fitted apparent Q(10) values may not express the temperature response of respiratory processes in the soil.
机译:许多现场研究表明,土壤温度可以解释土壤呼吸(SR)的大部分时间变化。但是,越来越多的证据表明SR也受当前或最近的光合产物的影响。因此,名义上归因于温度的SR的季节性变化可能部分归因于光合作用的季节性。在混合针叶落叶温带森林中,我们测量了SR,并使用SECRETS过程模型测试了光合作用的季节性变化是否影响SR的季节性差异。在六个相邻的样地(从纯常绿到纯落叶)中进行测量,这些样地在光合作用的季节性方面表现出梯度。在所有六幅图中,我们发现SR的基础速率(BR;定义为10摄氏度下的SR)与模型化的光合作用(即总初级生产力; GPP)之间存在很强的相关性。此外,与那些光合作用变化较小的地块相比,在那些表现出较大光合作用季节变化的地块中,BR的季节变化较大。这是相关的,因为SR的Q(10)的估计值(Q(10)是每10摄氏度的温度变化过程速率的相对变化)通常假设为常数BR。因此,我们的结果支持以下假设:研究之间SR的表观Q(10)的差异(由SR和温度的实地测量得出的表观Q(10)= Q(10))在很大程度上可能与季节差异有关在光合作用中。我们建议林分结构和物种组成的变化,以及因此在光合特征中的变化,通过地下不稳定碳的供应差异,导致BR的不同季节变化。如果未适当考虑BR的这些季节性变化,则拟合的表观Q(10)值可能无法表示土壤中呼吸过程的温度响应。

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