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Measuring and modeling the variation in species-specific transpiration in temperate deciduous hardwoods.

机译:测量和建模温带落叶硬木中特定物种蒸腾的变化。

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We investigated which parameters required by the MAESTRA model were most important in predicting leaf-area-based transpiration in 5-year-old trees of five deciduous hardwood species-yoshino cherry (Prunus x yedoensis Matsum.), red maple (Acer rubrum L. 'Autumn Flame'), trident maple (Acer buergeranum Miq.), Japanese flowering cherry (Prunus serrulata Lindl. 'Kwanzan') and London plane-tree (Platanus x acerifolia (Ait.) Willd.). Transpiration estimated from sap flow measured by the heat balance method in branches and trunks was compared with estimates predicted by the three-dimensional transpiration, photosynthesis and absorbed radiation model, MAESTRA. MAESTRA predicted species-specific transpiration from the interactions of leaf-level physiology and spatially explicit micro-scale weather patterns in a mixed deciduous hardwood plantation on a 15-min time step. The monthly differences between modeled mean daily transpiration estimates and measured mean daily sap flow ranged from a 35% underestimation for Acer buergeranum in June to a 25% overestimation for A. rubrum in July. The sensitivity of the modeled transpiration estimates was examined across a 30% error range for seven physiological input parameters. The minimum value of stomatal conductance as incident solar radiation tends to zero was determined to be eight times more influential than all other physiological model input parameters. This work quantified the major factors that influence modeled species-specific transpiration and confirmed the ability to scale leaf-level physiological attributes to whole-crown transpiration on a species-specific basis.
机译:我们调查了MAESTRA模型所需的哪些参数在预测5种落叶硬木树种-吉野樱桃(Prunus x yedoensis Matsum。),红枫(Acer rubrum L. '秋天火焰'),三叉戟枫树(Acer buergeranum Miq。),日本开花樱桃(Prunus serrulata Lindl。'Kwanzan')和伦敦梧桐树(Platanus x acerifolia(Ait。)Willd。)。将通过热平衡法在树枝和主干中测量的汁液流量估算的蒸腾量与通过三维蒸腾,光合作用和吸收辐射模型MAESTRA估算的估算值进行了比较。 MAESTRA通过在15分钟的时间步长上混合落叶硬木人工林中的叶水平生理学和空间明确的微尺度天气模式之间的相互作用来预测物种特定的蒸腾作用。建模的平均每日蒸腾量估算值与测得的平均每日树液流量之间的每月差异介于6月的Acer buergeranum低估35%到7月的红曲霉高估25%的范围内。在七个生理输入参数的30%误差范围内检查了模型蒸腾估算值的敏感性。确定当入射太阳辐射趋于零时,气孔导度的最小值是所有其他生理模型输入参数的八倍。这项工作量化了影响建模的物种特定蒸腾作用的主要因素,并确认了在物种特定的基础上将叶片水平的生理属性扩展到全冠蒸腾的能力。

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