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Modeling Size-number Distributions of Seeds for Use in Soil Bank Studies

机译:用于土壤库研究的种子大小-数量分布建模

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Knowledge of soil seed banks is essential to understand the dynamics of plant populations and communities and would greatly benefit from the integration of existing knowledge on ecological correlations of seed size and shape. The present study aims to establish a feasible and meaningful method to describe size-number distributions of seeds in multi-species situations. For that purpose, size-number distributions of seeds with known length, width and thickness were determined by sequential sieving. The most appropriate combination of sieves and seeds dimensions was established, and the adequacy of the power function and the Weibull model to describe size-number distributions of spherical, non.spherical, and all seeds was investigated. We found that the geometric mean of seed length, width and thickness was the most adequate size estimator, providing shape-independent measures of seeds volume directly related to sieves mesh side, and that both the power function and the Weibuli model provide high quality descriptions of size-number distributions of spherical,non-spherical, and all seeds. We also found that, in spite of its slightly lower accuracy, the power function is, at this stage, a more trustworthy model to characterize size-number distributions of seeds in soil banks because in some Weibull equations the estimates of the scale parameter were not acceptable.
机译:土壤种子库的知识对于理解植物种群和群落的动态是必不可少的,并且将从对种子大小和形状的生态相关性的现有知识的整合中受益匪浅。本研究旨在建立一种可行且有意义的方法来描述多物种情况下种子的大小-数量分布。为此,通过顺序筛分确定已知长度,宽度和厚度的种子的大小-数量分布。建立了最合适的筛子和种子尺寸的组合,并研究了幂函数和威布尔模型对描述球形,非球形和所有种子的大小-数量分布的充分性。我们发现,种子长度,宽度和厚度的几何平均值是最合适的大小估计量,它提供了与筛网侧直接相关的种子体积的形状独立度量,并且幂函数和Weibuli模型均提供了对种子的高质量描述。球形,非球形和所有种子的大小-数量分布。我们还发现,尽管精度稍低,但幂函数在此阶段仍是更可靠的模型,用于表征土壤库中种子的大小-数量分布,因为在某些威布尔方程中,规模参数的估计并不可以接受的。

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