使用蒙哥马利-小山-史密斯方程计算 12 种木兰科植物单位叶片面积的气孔面积

IF 3.6 2区 生物学 Q1 PLANT SCIENCES Annals of botany Pub Date : 2024-09-12 DOI:10.1093/aob/mcae165
Chunxiu Yan, Peijian Shi, Kexin Yu, Xuchen Guo, Meng Lian, Qinyue Miao, Lin Wang, Weihao Yao, Yiwen Zheng, Fuyuan Zhu, Karl J Niklas
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摘要

背景和目的 蒙哥马利-小山-史密斯(MKS)方程预测,每枝嫩叶的总叶面积与单个叶片宽度之和与最大单个叶片长度的乘积成正比。该方程还可用于描述每张显微照片的总气孔面积(AT)与任何特定显微照片中单个气孔宽度(以 LKS 表示)和最大单个气孔长度(以 WKS 表示)之和的乘积之间的关系。方法 为了检验 MKS 方程的有效性,研究人员对 12 个木兰科物种的 720 张气孔显微照片中的 69 931 个气孔进行了检查。每个气孔的面积是用气孔长度和宽度的经验测量值乘以一个常数计算得出的。比较了描述 AT、LKS 和 WKS 之间关系的六个方程。分别使用均方根(RMSE)和阿凯克信息准则(AIC)来衡量拟合度,以及每个模型的拟合度和结构复杂度之间的权衡。主要结果 分析支持 MKS 方程和幂律方程 AT ∝ (LKS∙WKS)α 的有效性,其中 a 为比例指数。在物种水平和集合数据中,α 的估计值在统计上都小于统一值,这不支持 AT ∝ LTS∙WTS 的假设。对于 12 个物种的数据和集合数据,幂律方程的 RMSE 值和 AIC 值均小于 MKS 方程。结论 这些结果表明,AT往往与LKS∙WKS成比例关系,而AT的增加与LTS∙WTS的增加并不同步。此外,使用 LKS 和 WKS 的乘积比只使用这两个变量中的一个要好。
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Using the Montgomery-Koyama-Smith equation to calculate the stomatal area per unit lamina area for 12 Magnoliaceae species
Background and aims The Montgomery-Koyama-Smith (MKS) equation predicts that total leaf area per shoot is proportional to the product of the sum of individual leaf widths and maximum individual leaf length, which has been validated for some herbaceous and woody plants. The equation is also predicted to be valid in describing the relationship between the total stomatal area per micrograph (AT) and the product of the sum of individual stomatal widths (denoted as LKS) and maximum individual stomatal length (denoted by WKS) in any particular micrograph. Methods To test the validity of the MKS equation, 69,931 stomata (from 720 stomatal micrographs from 12 Magnoliaceae species) were examined. The area of each stoma was calculated using empirical measurements of stomatal length and width multiplied by a constant. Six equations describing the relationships among AT, LKS, and WKS were compared. The root-mean-square (RMSE) and the Akaike information criterion (AIC) were used to measure the goodness of fit, and the trade-off between the goodness of fit and the structural complexity of each model, respectively. Key Results Analyses supported the validity of the MKS equation and the power-law equation AT ∝ (LKS∙WKS)α, where a is a scaling exponent. The estimated values of α at the species level and for the pooled data were all statistically smaller than unity, which did not support the hypothesis that AT ∝ LTS∙WTS. The power-law equation had smaller RMSE and AIC values than the MKS equation for the data from the 12 individual species and the pooled data. Conclusions These results indicate that AT tends to allometrically scale with LKS∙WKS, and that increases in AT do not keep pace with increases in LTS∙WTS. In addition, using the product of LKS and WKS is better than using only one of the two variables.
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来源期刊
Annals of botany
Annals of botany 生物-植物科学
CiteScore
7.90
自引率
4.80%
发文量
138
审稿时长
3 months
期刊介绍: Annals of Botany is an international plant science journal publishing novel and rigorous research in all areas of plant science. It is published monthly in both electronic and printed forms with at least two extra issues each year that focus on a particular theme in plant biology. The Journal is managed by the Annals of Botany Company, a not-for-profit educational charity established to promote plant science worldwide. The Journal publishes original research papers, invited and submitted review articles, ''Research in Context'' expanding on original work, ''Botanical Briefings'' as short overviews of important topics, and ''Viewpoints'' giving opinions. All papers in each issue are summarized briefly in Content Snapshots , there are topical news items in the Plant Cuttings section and Book Reviews . A rigorous review process ensures that readers are exposed to genuine and novel advances across a wide spectrum of botanical knowledge. All papers aim to advance knowledge and make a difference to our understanding of plant science.
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