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Feedback significantly influences the simulated effect of CO2 on seasonal evapotranspiration from two agricultural species

机译:反馈显着影响了二氧化碳对两种农业物种季节性蒸散的模拟影响

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The direct effect of elevated carbon dioxide on evapotranspiration over a growing season was investigated by scaling up single-leaf gas exchange measurements on soybean and corn plants grown and measured at three carbon dioxide concentrations. Stomatal conductance decreased markedly with increasing carbon dioxide in these species under most conditions. Coupled soil-vegetation-atmosphere models were used to scale up these single-leaf level measurements to simulate evapotranspiration at the regional scale from planting to harvest. The coupled modelling system introduced feedbacks over the season that are not present at the measurement level, which decreased the effect of carbon dioxide on evapotranspiration. Four sets of simulations were performed to evaluate specifically the magnitude of four feedbacks; two resulting from scale, surface layer and mixed layer feedback, one resulting from soil evaporation and one resulting from the interactions of stomatal conductance and the simulated canopy microclimate (physiological feedback). The feedbacks occurring from scale were consistent with previous analytical work indicating that transpiration becomes less dependent on stomatal conductance at larger scales. Evaporation from the soil has been generally neglected in past studies on carbon dioxide effects, but was especially important in decreasing the effects of carbon dioxide on evapotranspiration and showed a seasonal dynamic. The feedback resulting from physiological responses has also received less attention than the feedbacks from scale, but was only moderately important in these simulations. We also investigated the seasonal dynamics of how the observed increase in leaf area at elevated carbon dioxide affects evapotranspiration. Considering all the feedbacks and the observed increase in leaf area at elevated carbon dioxide, the simulated decrease in evapotranspiration was not negligible but was much less than the decrease in stomatal conductance. At the regional scale and maximum complexity in our model, the simulated decrease in seasonal evapotranspiration at doubled carbon dioxide (700 mu mol mol(-1)) was 5.4% for soybeans and 8.6% for corn. [References: 28]
机译:通过扩大在三个二氧化碳浓度下生长和测量的大豆和玉米植物的单叶气体交换测量,研究了二氧化碳在生长季节对蒸散的直接影响。在大多数情况下,这些物种的气孔电导率随着二氧化碳的增加而显着下降。使用耦合的土壤-植被-大气模型来放大这些单叶水平测量值,以模拟从种植到收获的区域尺度上的蒸散量。耦合的建模系统引入了季节中未在测量水平上出现的反馈,从而减少了二氧化碳对蒸散的影响。进行了四组仿真,以具体评估四个反馈的大小;两种是由水垢,表层和混合层反馈产生的,一种是由土壤蒸发产生的,一种是由气孔导度与模拟冠层微气候(生理反馈)的相互作用产生的。来自规模的反馈与先前的分析工作一致,表明较大规模上的蒸腾作用越来越少地依赖于气孔导度。在过去关于二氧化碳影响的研究中,从土壤中蒸发通常被忽略,但是对于减少二氧化碳对蒸散量的影响尤为重要,并且表现出季节动态。来自生理反应的反馈也比来自规模的反馈受到的关注较少,但在这些模拟中仅具有中等重要性。我们还研究了季节性动态,这些动态是在二氧化碳浓度升高时观察到的叶面积增加如何影响蒸散量的。考虑到所有反馈和在二氧化碳增加时观察到的叶面积增加,模拟的蒸散量的减少是不可忽略的,但远小于气孔导度的减少。在区域规模和我们模型的最大复杂度下,大豆和大豆的二氧化碳每增加一倍(700μmol mol(-1))模拟的季节性蒸散量减少量分别为5.4%和8.6%。 [参考:28]

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