风传草本植物种子空间传播新模型

种子阶段产生的时空格局对植物种群迁移十分关键,在植物种群动态、外来种入侵、保护生物学领域有重要意义。大多数种子从母株处传播距离较短,少数种子可以进行长距离传播。近30多年对种子传播的大量研究集中在近距离传播,这与目前的技术很难直接跟踪长距离传播的种子有关,尤其是草本植物种子传播数据极难获取。在现实条件约束下,利用模型模拟种子传播显示了重要作用,但目前尚未形成种子密度随距离变化的统一性函数或分布曲线,我国更是鲜见此方面研究成果。提出了一种全新的风传草本植物种子的空间传播模型,即准麦克斯韦空间分布模型,将种子长、中、短距离的传播归纳于统一的模型之中;实现无风或有风时,任意方向及区域的种子传播模拟,并且利用前人已有的实验或实测数据对模型进行了适应性分析,旨在推动此领域研究的进一步探索与发展。

A new spatial-dispersal model on wind-borne herbaceous plant seeds

The spatio-temporal pattern of seed dispersal has great significant ecological implications for plant species dynamics, biological invasion and conservation biology. Most seeds have the short-distance dispersal (SDD) ability, while few seeds have the long-distance dispersal (LDD) ability. A great of researches have majored in the SDD for more than thirty years, which due to the difficulties in the direct track of LDD of plant seeds, particular in the herbaceous plant species. Due to the actual limiting factors, modeling has played a great importance in the tail simulation of seed dispersal. However, a uniform function or curve distribution have not been constructed currently to describe the variation of seed density with the distance. Our research put forward a new spatial dispersal model, i.e., quasi-Maxwell spatial distribution model, to conclude all the cases of seed dispersal. The model can simulate wind-borne seed dispersal of any direction and area, and some empirical field data gotten by other researches have been used to check the model adaptability. This research aims to advocate the development of this important field and more efforts should be made to explore in the future study.