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一种新的生长函数,纳入了生殖能量分配的影响。

A novel growth function incorporating the effects of reproductive energy allocation.

机构信息

Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.

School of Marine Science and Technology, Tokai University, Shizuoka, Shizuoka, Japan.

出版信息

PLoS One. 2018 Jun 26;13(6):e0199346. doi: 10.1371/journal.pone.0199346. eCollection 2018.

Abstract

Ontogenetic growth functions provide basic information in biological and ecological studies. Various growth functions classified into the Pütter model have been used historically, regardless of controversies over their appropriateness. Here, we present a novel growth function for fish and aquatic organisms (generalised q-VBGF) by considering an allocation schedule of allometrically produced surplus energy between somatic growth and reproduction. The generalised q-VBGF can track growth trajectories in different life history strategies from determinate to indeterminate growth by adjusting the value of the 'growth indeterminacy exponent' q. The timing of maturation and attainable body size can be adjusted by the 'maturation timing parameter' τ while maintaining a common growth trajectory before maturation. The generalised q-VBGF is a comprehensive growth function in which exponentials in the traditional monomolecular, von Bertalanffy, Gompertz, logistic, and Richards functions are replaced with q-exponentials defined in the non-extensive Tsallis statistics, and it fits to actual data more adequately than these conventional functions. The relationship between the estimated parameter values τ and rq forms a unique hyperbola, which provides a new insight into the continuum of life history strategies of organisms.

摘要

个体发育生长函数为生物和生态学研究提供了基本信息。历史上,无论其适宜性存在争议,各种生长函数都被归入普特模型进行分类。在这里,我们通过考虑分配方案,提出了一种新的鱼类和水生生物生长函数(广义 q-VBGF),该方案将异速产生的剩余能量在体生长和繁殖之间进行分配。广义 q-VBGF 通过调整“生长不定性指数”q 的值,可以从确定性生长到不确定性生长跟踪不同生活史策略的生长轨迹。通过调整“成熟时间参数”τ,可以调整成熟时间和可达身体大小,同时在成熟前保持共同的生长轨迹。广义 q-VBGF 是一种综合生长函数,它用非广延塔利斯统计中的 q-指数取代了传统的单分子、冯·贝尔塔兰菲、戈梅兹、逻辑和理查兹函数中的指数,并且比这些传统函数更能适当地拟合实际数据。估计参数值 τ 和 rq 之间的关系形成了一个独特的双曲线,这为生物体的生活史策略连续体提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca21/6019753/5da33b900414/pone.0199346.g001.jpg

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