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最終更新日:2025/01/01

能瀬 さやか

(Sayaka Nose-Ogura)
論文
タイトル
タイトル(英)
Multi-scaling allometry in human development, mammalian morphology, and tree growth.
参照URL
https://researchmap.jp/ns0301/published_papers/48831510
著者
著者(英)
Madhur Mangalam,Yosuke Isoyama,Hitomi Ogata,Sayaka Nose-Ogura,Momoko Kayaba,Narumi Nagai,Ken Kiyono
担当区分
概要
概要(英)
Various animal and plant species exhibit allometric relationships among their respective traits, wherein one trait undergoes expansion as a power-law function of another due to constraints acting on growth processes. For instance, the acknowledged consensus posits that tree height scales with the two-thirds power of stem diameter. In the context of human development, it is posited that body weight scales with the second power of height. This prevalent allometric relationship derives its nomenclature from fitting two variables linearly within a logarithmic framework, thus giving rise to the term "power-law relationship." Here, we challenge the conventional assumption that a singular power-law equation adequately encapsulates the allometric relationship between any two traits. We strategically leverage quantile regression analysis to demonstrate that the scaling exponent characterizing this power-law relationship is contingent upon the centile within these traits' distributions. This observation fundamentally underscores the proposition that individuals occupying disparate segments of the distribution may employ distinct growth strategies, as indicated by distinct power-law exponents. We introduce the innovative concept of "multi-scale allometry" to encapsulate this newfound insight. Through a comprehensive reevaluation of (i) the height-weight relationship within a cohort comprising 7, 863, 520 Japanese children aged 5-17 years for which the age, sex, height, and weight were recorded as part of a national study, (ii) the stem-diameter-height and crown-radius-height relationships within an expansive sample of 498, 838 georeferenced and taxonomically standardized records of individual trees spanning diverse geographical locations, and (iii) the brain-size-body-size relationship within an extensive dataset encompassing 1, 552 mammalian species, we resolutely substantiate the viability of multi-scale allometric analysis. This empirical substantiation advocates a paradigm shift from uni-scaling to multi-scaling allometric modeling, thereby affording greater prominence to the inherent growth processes that underlie the morphological diversity evident throughout the living world.
出版者・発行元
出版者・発行元(英)
誌名
誌名(英)
Scientific reports
14
1
開始ページ
19957
終了ページ
19957
出版年月
2024年8月28日
査読の有無
招待の有無
掲載種別
研究論文(学術雑誌)
ISSN
DOI URL
https://doi.org/10.1038/s41598-024-69199-5
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