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Dandelion Seed Dispersal: The Horizontal Wind Speed Does Not Matter for Long-Distance Dispersal-it is Updraft!

机译:蒲公英种子散播:水平风速对于长距离散播而言并不重要,它是上升气流!

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Long-distance dispersal of seeds (LDD) surely affects most ecological and evolutionary processes related to plant species. Hence, numerous attempts to quantify LDD have been made and, especially for wind dispersal, several simulation models have been developed. However, the mechanisms promoting LDD by wind still remain ambiguous and the effects of different weather conditions on LDD, although recognized as important, have only rarely been investigated. Here we examine the influence of wind speed and updrafts on dispersal of dandelion (Taraxacum officinale agg.), a typical wind-dispersed herb of open habitats. We used PAPPUS, a weather-sensitive mechanistic simulation model of wind dispersal, which considers frequency distribution of weather conditions during the period the simulation refers to. A simulation for the 4-month shedding period of dandelion shows that high wind speed does not promote LDD. In contrast, vertical turbulence, especially convective updrafts, are of overwhelming importance. Mainly caused by updrafts, in the simulations more than 0.05% of dandelion seeds were dispersed beyond 100 m, a distance commonly used to define LDD. We conclude that long-distance dispersal of seeds of herbaceous species with falling velocities < 0.5-1.0 ms~(-1) is mainly caused by convective updrafts.
机译:种子的远距离传播(LDD)无疑会影响与植物物种有关的大多数生态和进化过程。因此,已经进行了许多尝试来量化LDD,并且特别是对于风扩散,已经开发了几种仿真模型。但是,通过风促进LDD的机制仍然不明确,尽管很少研究不同天气条件对LDD的影响,尽管被认为是重要的。在这里,我们研究了风速和上升气流对蒲公英(蒲公英)的扩散的影响,蒲公英是一种典型的开放生境的风散草本植物。我们使用了PAPPUS,这是一种对天气敏感的风传播机理模拟模型,该模型考虑了模拟所指期间的天气条件频率分布。对蒲公英四个月脱落期的模拟显示,高风速不会促进LDD。相反,垂直湍流,特别是对流上升气流,具有极其重要的意义。在模拟中,主要由上升气流引起,超过0.05%的蒲公英种子散布到100 m以上,该距离通常用于定义LDD。我们得出结论,速度<0.5-1.0 ms〜(-1)下降的草本物种种子的远距离散布主要是由对流上升气流引起的。

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