几何级数存在于自然界:从分类的花和叶的面积序列的证据

IF 4.1 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Annals of the New York Academy of Sciences Pub Date : 2025-01-02 DOI:10.1111/nyas.15282
Peijian Shi, Bailian Larry Li, Jinfeng Wang, Youying Mu, Weihao Yao, Meng Lian, Linli Deng, Karl J. Niklas
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引用次数: 0

摘要

几何级数的概念在数学中占有重要的地位。然而,在描述生物尺寸序列时,它一直被忽视。在此,我们证明了一个GS描述了4个木兰科物种和2个蔷薇科物种的花的非生殖(花被)部分,以及60个Alangium chinense和60个Shibataea chinensis嫩枝的叶子。花和叶的分类面积形成一个序列,用GS拟合序列中相邻两个成员商的平均值作为GS的公比。使用平均绝对误差(MAPE)来衡量每个GS的拟合优度。超过99.7%(371株)的MAPE值小于10%,超过97.8%(372株)的MAPE值小于5%。同样,超过77.5%的MAPE值小于10%(120株中有93株),超过35%的MAPE值小于5%。这些分析提供了GS在自然界中存在的经验证据,并证实了经典代数公式在植物发育生物学研究中的实用性。
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Geometric series exists in nature: Evidence from sorted area sequences of floral parts and leaves
The concept of a geometric series (GS) plays an important role in mathematics. However, it has been neglected in describing biological size series. Herein, we show that a GS describes the nonreproductive (perianth) parts of the flowers of four Magnoliaceae species and two Rosaceae species and the leaves of 60 Alangium chinense and 60 Shibataea chinensis shoots. The sorted areas of floral parts and leaves formed a sequence that was fitted by a GS with the mean of the quotients of two adjacent members in the sequence as the common ratio of a GS. The mean absolute percent error (MAPE) was used to measure the goodness of fit of each GS. Over 99.7% of the MAPE values (371 out of the 372 tested flowers) were less than 10%, and over 97.8% of the MAPE values were less than 5%. Likewise, over 77.5% of the MAPE values (93 out of the 120 tested shoots) were less than 10%, and over 35% of the MAPE values were less than 5%. These analyses provide empirical evidence that the GS exists in nature, and confirm the usefulness of a classical algebraic formula for the study of plant developmental biology.
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来源期刊
Annals of the New York Academy of Sciences
Annals of the New York Academy of Sciences 综合性期刊-综合性期刊
CiteScore
11.00
自引率
1.90%
发文量
193
审稿时长
2-4 weeks
期刊介绍: Published on behalf of the New York Academy of Sciences, Annals of the New York Academy of Sciences provides multidisciplinary perspectives on research of current scientific interest with far-reaching implications for the wider scientific community and society at large. Each special issue assembles the best thinking of key contributors to a field of investigation at a time when emerging developments offer the promise of new insight. Individually themed, Annals special issues stimulate new ways to think about science by providing a neutral forum for discourse—within and across many institutions and fields.
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