Suppr超能文献

叶片形状和大小在栓皮栎中的变化:一个经验研究和抽样策略的模拟。

Leaf shape and size variation in bur oaks: an empirical study and simulation of sampling strategies.

机构信息

The Morton Arboretum, Center for Tree Science, 4100 Illinois Route 53, Lisle, IL 60532, USA.

The University of Chicago Laboratory Schools, 1362 East 59th St., Chicago, IL 60637, USA.

出版信息

Am J Bot. 2021 Aug;108(8):1540-1554. doi: 10.1002/ajb2.1705. Epub 2021 Aug 13.

Abstract

PREMISE

Leaf shape and size figure strongly in plants' adaptation to their environments. Among trees, oaks are notoriously variable in leaf morphology. Our study examines the degree to which within-tree, among-tree, and among-site variation contribute to latitudinal variation in leaf shape and size of bur oak (Quercus macrocarpa: Fagaceae), one of North America's most geographically widespread oak species.

METHODS

Samples were collected from four sites each at northern, central, and southern latitudes of the bur oak range. Ten leaf size traits were measured, and variance in these traits and eight ratios based on these traits was partitioned into tree and population components. Population means were regressed on latitude. We then parameterized a series of leaf collection simulations using empirical covariance among leaves on trees and trees at sites. We used the simulations to assess the efficiency of different collecting strategies for estimating among-population differences in leaf shape and size.

RESULTS

Leaf size was highly responsive to latitude. Site contributed more than tree to total variation in leaf shape and size. Simulations suggest that power to detect among-site variance in leaf shape and size increases with either more leaves per tree (10-11 leaves from each of 5 trees) or more trees per site (5 leaves from each of 10+ trees).

CONCLUSIONS

Our study demonstrates the utility of simulating sampling and controlling for variance in sampling for leaf morphology, whether the questions being addressed are ecological, evolutionary, or taxonomic. Simulation code is provided as an R package (traitsPopSim) to help researchers plan morphological sampling strategies.

摘要

前提

叶片的形状和大小是植物适应环境的重要特征。在树木中,栎属植物的叶片形态变化多样,是出了名的。我们的研究考察了同一植株内、不同植株间和不同地点间的变异在多大程度上导致了美洲黑栎(Quercus macrocarpa:壳斗科)叶片形状和大小的纬度变化,美洲黑栎是北美洲分布最广的栎属物种之一。

方法

从美洲黑栎分布范围的北部、中部和南部的每个地点采集了 4 个样本。测量了 10 个叶片大小特征,并将这些特征的方差以及基于这些特征的 8 个比率划分为树木和种群两部分。将种群平均值与纬度进行回归。然后,我们使用树木间和地点间叶片的经验协方差参数化了一系列叶片采集模拟。我们使用这些模拟来评估不同收集策略对估计叶片形状和大小的种群间差异的效率。

结果

叶片大小对纬度高度敏感。地点对叶片形状和大小的总变异的贡献大于树木。模拟表明,检测叶片形状和大小的地点间方差的能力随着每棵树的叶片数量(从 5 棵树中每棵取 10-11 片叶子)或每地点的树木数量(从 10 多棵树中每棵取 5 片叶子)的增加而增加。

结论

我们的研究表明,无论是解决生态、进化还是分类问题,模拟采样和控制采样中的变异对于叶片形态学都是有用的。我们提供了模拟代码作为一个 R 包(traitsPopSim),以帮助研究人员规划形态学采样策略。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验