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首页> 外文期刊>Journal of Theoretical Biology >Are sample sizes usually at least an order of magnitude too low for reliable estimates of leaf asymmetry?
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Are sample sizes usually at least an order of magnitude too low for reliable estimates of leaf asymmetry?

机译:对于可靠的叶片不对称性估计,样本量通常是否至少至少低一个数量级?

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摘要

Estimates of leaf size and asymmetry for individual trees are often obtained using sample sizes that are too small to take into account the possibility that size and asymmetry may be affected by the position of the leaf on the tree. This issue was addressed by exploring variation in leaf size and asymmetry within an individual of Alder (Alnus glutinosa). We found differences between branches for leaf size and for signed asymmetry but not for unsigned asymmetry. We also found that the size of a leaf was not correlated with its position on a branch and that the asymmetry of a leaf was not correlated with either its position on a branch or with the asymmetry of its neighbour. Repeated subsampling of a sample of 870 leaves showed that a subsample size approaching 500 leaves was required for consistently reliable estimates of the standard deviation of unsigned asymmetry. Smaller subsamples were required for consistently reliable estimates of mean unsigned asymmetry and of the mean and standard deviation of leaf size, but subsamples of less than 100 leaves provided consistently reliable estimates only of mean leaf size. For this species, reliable estimates of an individual's level of asymmetry are obtained only if several hundred leaves are sampled over several branches, but it is not necessary to sample the same sequence of leaves from each branch. Copyright 2001 Academic Press.
机译:通常使用太小而无法考虑到大小和不对称性可能受叶子在树上位置影响的可能性的样本大小来获得单个树木的叶子大小和不对称性的估计值。通过探索Alder(Alnus glutinosa)个体内叶片大小和不对称性的变化来解决此问题。我们发现分支之间的差异在于叶的大小和有符号的不对称性,而没有无符号的不对称性。我们还发现,叶子的大小与其在树枝上的位置不相关,并且叶子的不对称与其在树枝上的位置或其邻居的不对称无关。重复采样870个叶子的样本表明,要对无符号不对称性的标准偏差进行一致可靠的估计,需要接近500个叶子的子样本大小。对于平均无符号不对称性和叶片大小的均值和标准偏差的一致可靠的估计,需要较小的子样本,但是少于100片叶子的子样本只能提供一致的可靠估计,即平均叶子大小。对于该物种,仅当在多个分支上采样了数百片叶子时,才能获得对个体不对称程度的可靠估计,但是不必从每个分支中采样相同的叶子序列。版权所有2001学术出版社。

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