Faculty of Agriculture, Kyushu University, Fukuoka 812-8581, Japan.
Tree Physiol. 2013 May;33(5):550-8. doi: 10.1093/treephys/tpt029. Epub 2013 May 2.
Understanding radial and azimuthal variation, and tree-to-tree variation, in sap flux density (Fd) as sources of uncertainty is important for estimating transpiration using sap flow techniques. In a Japanese cedar (Cryptomeria japonica D. Don.) forest, Fd was measured at several depths and aspects for 18 trees, using heat dissipation (Granier-type) sensors. We observed considerable azimuthal variation in Fd. The coefficient of variation (CV) calculated from Fd at a depth of 0-20 mm (Fd1) and Fd at a depth of 20-40 mm (Fd2) ranged from 6.7 to 37.6% (mean = 28.3%) and from 19.6 to 62.5% (mean = 34.6%) for the -azimuthal directions. Fd at the north aspect averaged for nine trees, for which azimuthal measurements were made, was -obviously smaller than Fd at the other three aspects (i.e., west, south and east) averaged for the nine trees. Fd1 averaged for the nine trees was significantly larger than Fd2 averaged for the nine trees. The error for stand-scale transpiration (E) estimates caused by ignoring the azimuthal variation was larger than that caused by ignoring the radial variation. The error caused by ignoring tree-to-tree variation was larger than that caused by ignoring both radial and azimuthal variations. Thus, tree-to-tree variation in Fd would be more important than both radial and azimuthal variations in Fd for E estimation. However, Fd for each tree should not be measured at a consistent aspect but should be measured at various aspects to make accurate E estimates and to avoid a risk of error caused by the relationship of Fd to aspect.
理解 sap 流密度 (Fd) 的径向和方位变化以及树木间变化是使用 sap 流技术估算蒸腾的不确定性的重要因素。在日本雪松 (Cryptomeria japonica D. Don.) 林分中,使用热扩散 (Granier 型) 传感器在几个深度和方位上测量了 18 棵树的 Fd。我们观察到 Fd 存在相当大的方位变化。在深度为 0-20mm (Fd1) 和 20-40mm (Fd2) 处测量的 Fd 的变异系数 (CV) 范围为 6.7-37.6%(平均值为 28.3%)和 19.6-62.5%(平均值为 34.6%),用于 -方位方向。九棵树的北方位面的平均 Fd 明显小于九棵树的其他三个方位面(即西、南和东)的平均 Fd。九棵树的平均 Fd1 明显大于九棵树的平均 Fd2。忽略方位变化引起的林分尺度蒸腾 (E) 估算误差大于忽略径向变化引起的误差。忽略树木间变化引起的误差大于忽略径向和方位变化引起的误差。因此,对于 E 估计,Fd 中的树木间变化比 Fd 中的径向和方位变化更重要。然而,不应该在一致的方位上测量每棵树的 Fd,而应该在各个方位上测量 Fd,以做出准确的 E 估计并避免因 Fd 与方位的关系而导致误差的风险。