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引用次数: 0
摘要
de Aguiar 等人的研究表明,自然界中物种多样性的基本模式可以用物种演化的中性模式来描述,在这个模式中,物种的出现仅仅是当地交配和配偶对遗传相似性偏好的结果。他们的研究结果被认为是对生物多样性中性理论的支持。然而,由于他们研究中考虑的突变率远大于生物体所经历的突变率,人们对这类模型在现实条件下是否会发生物种演化仍存在一些疑问。在这里,我建立了一个中性模型的变体,其中包括一个现实的生物体扩散机制。我探索了该模型中一类移动生物(蝴蝶)的物种演化,发现物种演化确实发生在与蝴蝶种群一致的条件下,尽管是在狭窄的地形上。该模型似乎还表现出缩放行为--具体地说,如果在景观的长宽比和种群密度保持不变的情况下,通过增加景观面积来 "放大 "模型,物种数量就会趋于一个渐近值。这些结果表明,通过模拟规模更小、计算能力更强的种群,有可能推断出大型种群的物种演化模式。
de Aguiar et al. have shown that basic patterns of species diversity found in nature can be described by a neutral model of speciation in which species emerge simply as a consequence of local mating and mate preference for genetic similarity. Their results have been cited as support for the neutral theory of biodiversity. However, because the mutation rates considered in their work are much larger than those experienced by living organisms, there is still some question as to whether speciation will occur in this type of model under realistic conditions. Here, I develop a variant of the neutral model that includes a realistic mechanism for organism dispersal. I explore speciation in the model for a class of mobile organisms (butterflies), and I find that speciation does occur under conditions consistent with butterfly populations, albeit on narrow landscapes. The model also appears to exhibit scaling behavior—specifically, if the model is “scaled up” by increasing the area of the landscape while holding its length to width ratio and population density constant, the number of species tends to an asymptotic value. The results suggest that it is possible to infer speciation patterns in large populations by simulating much smaller, computationally tractable populations.
期刊介绍:
Theoretical Ecology publishes innovative research in theoretical ecology, broadly defined. Papers should use theoretical approaches to answer questions of ecological interest and appeal to and be readable by a broad audience of ecologists. Work that uses mathematical, statistical, computational, or conceptual approaches is all welcomed, provided that the goal is to increase ecological understanding. Papers that only use existing approaches to analyze data, or are only mathematical analyses that do not further ecological understanding, are not appropriate. Work that bridges disciplinary boundaries, such as the intersection between quantitative social sciences and ecology, or physical influences on ecological processes, will also be particularly welcome.
All areas of theoretical ecology, including ecophysiology, population ecology, behavioral ecology, evolutionary ecology, ecosystem ecology, community ecology, and ecosystem and landscape ecology are all appropriate. Theoretical papers that focus on applied ecological questions are also of particular interest.