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Exploring the importance of within-canopy spatial temperature variation on transpiration predictions

机译:探索冠层内部空间温度变化对蒸腾量预测的重要性

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摘要

Models seldom consider the effect of leaf-level biochemical acclimation to temperature when scaling forest water use. Therefore, the dependence of transpiration on temperature acclimation was investigated at the within-crown scale in climatically contrasting genotypes of Acer rubrum L., cv. October Glory (OG) and Summer Red (SR). The effects of temperature acclimation on intracanopy gradients in transpiration over a range of realistic forest growth temperatures were also assessed by simulation. Physiological parameters were applied, with or without adjustment for temperature acclimation, to account for transpiration responses to growth temperature. Both types of parameterization were scaled up to stand transpiration (expressed per unit leaf area) with an individual tree model (MAESTRA) to assess how transpiration might be affected by spatial and temporal distributions of foliage properties. The MAESTRA model performed well, but its reproducibility was dependent on physiological parameters acclimated to daytime temperature. Concordance correlation coefficients between measured and predicted transpiration were higher (0.95 and 0.98 versus 0.87 and 0.96) when model parameters reflected acclimated growth temperature. In response to temperature increases, the southern genotype (SR) transpiration responded more than the northern (OG). Conditions of elevated long-term temperature acclimation further separate their transpiration differences. Results demonstrate the importance of accounting for leaf-level physiological adjustments that are sensitive to microclimate changes and the use of provenance-, ecotype-, and/or genotype-specific parameter sets, two components likely to improve the accuracy of site-level and ecosystem-level estimates of transpiration flux.
机译:当扩大森林用水量时,模型很少考虑叶片水平的生化适应对温度的影响。因此,在气候变化的红枫宏基因型中,在冠内尺度上研究了蒸腾对温度适应的依赖性。十月荣耀(OG)和夏日红(SR)。还通过模拟评估了温度适应对一系列实际森林生长温度下蒸腾作用的冠层内梯度的影响。应用生理参数,调节或不调节温度适应性,以说明蒸腾对生长温度的响应。使用单个树模型(MAESTRA)可以将这两种类型的参数化按比例扩大到林分蒸腾(每单位叶面积表示),以评估蒸腾可能受到叶面特性的时空分布的影响。 MAESTRA模型运行良好,但其可重复性取决于日间温度适应的生理参数。当模型参数反映了适应的生长温度时,测得的蒸腾量和预测的蒸腾量之间的一致性相关系数更高(0.95和0.98,而0.87和0.96)。响应温度升高,南部基因型(SR)的蒸腾作用比北部(OG)的响应快。长期高温驯化的条件进一步分隔了它们的蒸腾差异。结果表明,考虑对微气候变化敏感的叶片水平生理调节以及使用起源,生态类型和/或基因型特定参数集的重要性,这两个因素可能会提高站点水平和生态系统的准确性流量的水平估计。

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