Disk-stacking models are consistent with Fibonacci and non-Fibonacci structure in sunflowers

Jonathan Swinton
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Abstract

This paper investigates a model of plant organ placement motivated by the appearance of large Fibonacci numbers in phyllotaxis, and provides the first large-scale empirical validation of this model. Specifically it evaluates the ability of Schwendener disk-stacking models to generate parastichy patterns seen in a large dataset of sunflower seedheads. We find that features of this data that the models can account for include a predominance of Fibonacci counts, usually in a pair of left and right counts on a single seedhead, a smaller but detectable frequency of Lucas and double Fibonacci numbers, a comparable frequency of Fibonacci numbers plus or minus one, and occurrences of pairs of roughly equal but non-Fibonacci counts in a `columnar' structure. A further observation in the dataset was an occasional lack of rotational symmetry in the parastichy spirals, and this paper demonstrates those in the model for the first time. Schwendener disk-stacking models allow Fibonacci structure by ensuring that a parameter of the model corresponding to the speed of plant growth is kept small enough. While many other models can exhibit Fibonacci structure, usually by specifying a rotation parameter to an extremely high precision, no other model has accounted for further, non-Fibonacci, features in the observed data. The Schwendener model produces these naturally in the region of parameter space just beyond where the Fibonacci structure breaks down, without any further parameter fitting. We also introduce stochasticity into the model and show that it while it can be responsible for the appearance of columnar structure, the disordered dynamics of the deterministic system near the critical region can also generate this structure.
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圆盘堆积模型与向日葵的斐波纳契和非斐波纳契结构一致
本文研究了一个植物器官放置模型,该模型的灵感来自于植物叶轴中出现的大斐波那契数,并首次对该模型进行了大规模的实证验证。具体来说,它评估了施文德圆盘堆叠模型生成向日葵种子头大型数据集中所见的副花序模式的能力。我们发现,模型可以解释的这些数据的特征包括:斐波纳契计数占主导地位,通常是在单个种子头上的一对左右计数中;卢卡斯和双斐波纳契数的频率较小,但可检测到;斐波纳契数加减一的频率相当;以及在 "柱状 "结构中出现一对大致相等但非斐波纳契计数的情况。数据集中的另一个观察结果是,准旋转螺旋中偶尔缺乏旋转对称性,本文首次在模型中展示了这一点。施文德纳圆盘堆积模型通过确保模型中与植物生长速度相对应的参数保持足够小,来实现斐波那契结构。虽然许多其他模型都能表现出斐波那契结构,通常是通过将旋转参数指定到极高的精度,但没有其他模型能解释观测数据中更多的非斐波那契特征。施文德纳模型在参数空间的区域内自然产生了非斐波那契结构,而无需进一步的参数拟合。我们还在模型中引入了随机性,结果表明,虽然随机性会导致柱状结构的出现,但临界区域附近确定性系统的无序动力学也会产生这种结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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