首页> 外文期刊>Plant, Cell & Environment >Simple models for stomatal conductance derived from a process model: cross-validation against sap flux data.
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Simple models for stomatal conductance derived from a process model: cross-validation against sap flux data.

机译:由过程模型得出的气孔导度的简单模型:针对树汁通量数据的交叉验证。

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摘要

Representation of stomatal physiology in models of plant-atmosphere gas exchange is minimal, and direct application of process-based models is limited by difficulty of parameter estimation. We derived simple models of stomatal conductance from a recent process-based model, and cross-validated them against measurements of sap flux (176-365 d in length) in 36 individual trees of two age classes for two Eucalyptus species across seven sites in the mountains of southeastern Australia. The derived models - which are driven by irradiance and evaporative demand and have two to four parameters that represent sums and products of biophysical parameters in the process model - reproduced a median 83-89% of observed variance in half-hourly and diurnally averaged sap flux, and performed similarly whether fitted using a random sample of all data or using 1 month of data from spring or autumn. Our simple models are an advance in predicting plant water use because their parameters are transparently related to reduced processes and properties, enabling easy accommodation of improved knowledge about how those parameters respond to environmental change and differ among species.
机译:在植物-大气气体交换模型中,气孔生理学的表现是最小的,基于过程的模型的直接应用受到参数估计困难的限制。我们从最近的基于过程的模型中导出了气孔导度的简单模型,并针对两个桉树物种的两个年龄级别的36个个体树中横跨七个站点的36个树龄中的树液通量(长度176-365 d)进行了交叉验证。澳大利亚东南部的山脉。派生模型-由辐照度和蒸发需求驱动,并具有两个到四个参数,代表过程模型中生物物理参数的总和和乘积-再现了半小时和每日平均树液通量的观察值中位数的83-89% ,无论是使用所有数据的随机样本进行拟合还是使用春季或秋季的1个月数据进行拟合,其效果都相似。我们的简单模型是预测植物用水的一项先进技术,因为它们的参数与减少的过程和特性透明相关,从而可以轻松容纳有关这些参数如何响应环境变化以及不同物种之间差异的知识。

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