Meng Yong, Ratkowsky David A, Yao Weihao, Heng Yi, Shi Peijian
Hunan Academy of Forestry, #658 Shaoshan South Road, Changsha 410004, China.
Co-Innovation Center for Sustainable Forestry in Southern China, Bamboo Research Institute, Nanjing Forestry University, #159 Longpan Road, Nanjing 210037, China.
Plants (Basel). 2024 Dec 29;14(1):73. doi: 10.3390/plants14010073.
Total leaf area per shoot () can reflect the photosynthetic capacity of a shoot. A prior study hypothesized that is proportional to the product of the sum of the individual leaf widths per shoot () and the maximum individual leaf length per shoot (), referred to as the Montgomery-Koyama-Smith equation (MKSE). However, empirical evidence does not support such a proportional relationship hypothesis, as was found to allometrically scale with , i.e., AT∝LKSWKSα, where α≠1, referred to as the power law equation (PLE). Given that there is variation in the total number of leaves per shoot (), little is known about whether the leaf area distribution has an explicit mathematical link with the sorted leaf area sequence per shoot, and it is unknown whether the mathematical link can affect the prediction accuracy of the MKSE and PLE. In the present study, the leaves of 500 shoots of a dwarf bamboo ( 'Aureostriatus') were scanned, and the leaf area, length, and width values were obtained by digitizing the leaf images. We selected the shoots with ranging from 3 to 10, which accounted for 76.6% of the totally sampled shoots (388 out of 500 shoots). We used the formula for the sum of the first terms ( ranging from 1 to ) of a geometric series (GS), with the mean of the quotients of any adjacent two terms (denoted as q¯A) per shoot as the common ratio of the GS, to fit the cumulative leaf area observations. Mean absolute percentage error (MAPE) was used to measure the goodness of fit of the GS. We found that there were 367 out of 388 shoots (94.6%) where 1 < q¯A < 1.618 and MAPE < 15%, and these 367 shoots were defined as valid samples. The GS hypothesis for leaf area distribution was supported by the result that the MAPE values for most valid samples (349 out of 367, i.e., 95.1%) were smaller than 5%. Here, we provide a theoretical basis using the GS hypothesis to demonstrate the validity of the MKSE and PLE. The MAPE values for the two equations to predict were smaller than 5%. This work demonstrates that the leaf area sequence per shoot follows a GS and provides a useful tool for the calculation of total leaf area per shoot, which is helpful to assess the photosynthetic capacity of plants.
每枝的总叶面积()可以反映一枝的光合能力。先前的一项研究假设,与每枝的单叶宽度之和()与每枝的最大单叶长度()的乘积成正比,这被称为蒙哥马利 - 小山 - 史密斯方程(MKSE)。然而,经验证据并不支持这种比例关系假设,因为发现与呈异速生长比例关系,即AT∝LKSWKSα,其中α≠1,这被称为幂律方程(PLE)。鉴于每枝的总叶数()存在变化,关于叶面积分布与每枝的排序叶面积序列是否有明确的数学联系知之甚少,并且这种数学联系是否会影响MKSE和PLE的预测准确性也未知。在本研究中,对一种矮竹(‘Aureostriatus’)的500枝的叶子进行了扫描,并通过对叶图像进行数字化处理获得了叶面积、长度和宽度值。我们选择了叶数在3到10之间的枝,这些枝占总采样枝数的76.6%(500枝中的388枝)。我们使用几何级数(GS)前项(从1到)之和的公式,以每枝任意相邻两项的商的平均值(记为q¯A)作为GS的公比,来拟合累积叶面积观测值。平均绝对百分比误差(MAPE)用于衡量GS的拟合优度。我们发现388枝中有367枝(94.6%)满足1 < q¯A < 1.618且MAPE < 15%,这367枝被定义为有效样本。叶面积分布的GS假设得到了如下结果的支持:大多数有效样本(367枝中的349枝,即95.1%)的MAPE值小于5%。在此,我们利用GS假设提供了一个理论基础来证明MKSE和PLE的有效性。这两个方程预测的MAPE值小于5%。这项工作表明每枝的叶面积序列遵循一个GS,并为计算每枝的总叶面积提供了一个有用的工具,这有助于评估植物的光合能力。