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Feedbacks between the atmospheric boundary layer and terrestrial ecosystems: implications for global-scale modelling

机译:大气边界层和地面生态系统之间的反馈:对全球规模建模的影响

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The importance of representing realistic vegetation in General Circulation Models (GCMs) is now widely recognised (Cox et al. 1999). Feedbacks with the vegetation may become particularly important when extrapolating into future climates with elevated CO_2 and temperature. However, very few attempts have been made to include dynamic interactions between vegetation and climate in GCM simulations (Betts et al. 1997). Dynamic vegetation models are generally too large and complex to be included in on-line simulations. There is therefore a need for models which are computationally simpler, but represent the key feedbacks accurately. The short-term feedbacks between vegetation and the atmosphere have been considered in several studies. McNaughton & Jarvis (1991) showed that the sensitivity of transpiration to a change in stomatal conductance decreased with increasing spatial scale, as the number of negative feedbacks increased. Jacobs and deBruin (1997) used a coupled planetary boundary layer (PBL)-vegetation model to study the influence of the PBL-vegetation feedbacks on surface conductance g_s and regional transpiration E. The effect of elevated atmospheric CO_2 concentration was also examined. The results confirmed the negative feedback between the PBL and transpiration. A positive atmospheric feedback on g_s was also observed, where an initial decrease in g_s caused by elevated CO_2 concentration reduces transpiration and thereby reduces humidity of the air within the canopy, causing the stomata to close further. Huntingford & Monteith (1998) and Huntingford & White (in prep.) reduced a PBL-vegetation model to a simple algebraic relationship between the Priestley-Taylor coefficient and g_s. The two coefficients of this relationship provide an analytical means of quantifying the strength of PBL-vegetation feedbacks.
机译:现在广泛认可(GCMS)在一般循环模型(GCMS)中代表现实植被的重要性(Cox等人1999)。当带有升高的CO_2和温度的未来气候时,与植被的反馈可能变得尤为重要。然而,已经提出了很少的尝试,包括GCM模拟中植被和气候之间的动态相互作用(Betts等人1997)。动态植被模型通常太大,复杂,在线模拟中包含。因此,需要计算方式更简单的模型,但准确地表示关键反馈。在几项研究中考虑了植被和大气之间的短期反馈。 McNaughton&Jarvis(1991)表明,随着空间量表的增加,蒸腾对气孔传导变化的敏感性降低,随着负反馈的数量增加。 Jacobs和Debruin(1997)使用了耦合的行星边界层(PBL)-in-intation模型,以研究PBL-植被反馈对表面电导G_s和区域蒸腾率E的影响。还检查了升高的大气CO_2浓度的效果。结果证实了PBL和蒸腾之间的负反馈。还观察到对G_S的正大气反馈,其中由升高的CO_2浓度引起的G_S初始降低减少了蒸腾,从而减少了树冠内的空气的湿度,使气孔进一步接近。 Huntingford&Monteith(1998)和Huntingford&White(准备)将PBL-植被模型减少到普利斯特利 - 泰勒系数和G_S之间的简单代数关系。这种关系的两个系数提供了量化PBL植被反馈强度的分析方法。

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