Estimation of stomatal density of leaves with hierarchical reticulate venation

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2022-12-21 DOI:10.1080/23818107.2022.2156600
P. Shi, L. Wang, Ü. Niinemets, Yabing Jiao, K. Niklas
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引用次数: 2

Abstract

ABSTRACT Stomatal density (SD) is important to photosynthetic rates. However, it is time-consuming to measure SD. Here, we provide a method for estimating SD based on the scaling relationship between SD and mean nearest neighbour distance (MNND) of sampled stomatal centres. 397 leaves from eight Magnoliaceae species were used for this study. For each leaf, three 1.2 mm × 0.9 mm lamina sections, positioned equidistantly between leaf left margin and midrib, were examined (in total 1189 sections). SD and MNND were calculated for each section. Regression protocols were used to test for a negative SD vs. MNND scaling relationship at the species and family levels. Additionally, 10 to 200 stomata from each section were randomly sampled to check for the prediction accuracy of SD using the SD vs MNND scaling relationship. There were significant differences in SD among the different lamina positions for 7 of 8 species. The inverse SD vs MNND scaling relationship was validated at the species and family levels. For the pooled data, the MNND values using 14, 25 and 50 stomata accounted for >80%, 85% and 90% of the variance in SD on a log-log scale, respectively. SD was characterized by high interspecific variability, and within-leaf variability, decreasing from the position near the midrib to that near the leaf margin. SD scaled inversely with MNND for the eight species. Thus, using the rapidly estimated trait MNND significantly simplifies and expedites the estimation of SD.
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用分级网状脉序估算叶片气孔密度
气孔密度对光合速率有重要影响。然而,测量SD是耗时的。在这里,我们提供了一种基于SD和采样气孔中心的平均最近邻距离(MNND)之间的比例关系来估计SD的方法。本研究使用了8个木兰科植物的397片叶子。对于每片叶子,检查了三个1.2毫米×0.9毫米的叶片切片,这些切片等距放置在叶子左边缘和中脉之间(总共1189个切片)。计算每个切片的SD和MNND。回归方案用于在物种和家族水平上测试SD与MNND的负比例关系。此外,对每个切片的10至200个气孔进行随机采样,以使用SD与MNND的比例关系来检查SD的预测准确性。8个种中有7个种的SD在不同的叶片位置之间存在显著差异。在物种和科水平上验证了SD与MNND的逆比例关系。对于合并数据,使用14、25和50个气孔的MNND值在对数-对数尺度上分别占SD方差的>80%、85%和90%。SD具有较高的种间变异性和叶内变异性,从靠近中脉的位置向靠近叶缘的位置递减。SD与MNND成反比。因此,使用快速估计的性状MNND显著简化和加快了SD的估计。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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