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Species lifetime distribution for simple models of ecologies

机译:简单生态模型的物种寿命分布

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Interpretation of empirical results based on a taxa's lifetime distribution shows apparently conflicting results. Species' lifetime is reported to be exponentially distributed, whereas higher-order taxa, such as families or genera, follow a broader distribution, compatible with power-law decay. We show that both forms of evidence are consistent with a simple evolutionary model that does not require specific assumptions on species interaction. The model provides a zero-order description of the dynamics of ecological communities, and its species lifetime distribution can be computed exactly. Different behaviors are found as follows: an initial t~(-3/2) power law, emerging from a random walk type of dynamics, which crosses over to a steeper t~(-2) branching process-like regime and finally is cut off by an exponential decay that becomes weaker and weaker as the total population increases. Sampling effects also can be taken into account and shown to be relevant. If species in the fossil record were sampled according to the Fisher log-series distribution, lifetime should be distributed according to a t~(-1) power law. Such variability of behaviors in a simple model, combined with the scarcity of data available, casts serious doubt on the possibility of validating theories of evolution on the basis of species lifetime data.
机译:根据分类单元的寿命分布对经验结果的解释显示出明显矛盾的结果。据报道,物种的寿命呈指数分布,而高等分类群,例如科或属,则遵循较宽的分布,与幂律衰减兼容。我们表明,两种形式的证据均与简单的进化模型一致,该模型不需要对物种相互作用进行特定假设。该模型提供了生态群落动态的零级描述,可以准确地计算其物种寿命分布。发现不同的行为如下:初始的t〜(-3/2)幂定律,从随机游动类型的动力学中产生,穿越到更陡峭的t〜(-2)分支过程状态,最后被切掉随着总人口的增加,指数衰减变得越来越弱。也可以考虑采样效果,并证明是相关的。如果根据费舍尔对数序列分布对化石记录中的物种进行采样,则寿命应根据t〜(-1)幂定律进行分布。在简单的模型中,这种行为的可变性,再加上可用数据的稀缺性,使人们严重怀疑是否有可能根据物种寿命数据验证进化论。

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