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Models of Dispersal Evolution Highlight Several Important Issues in Evolutionary and Ecological Modeling

机译:分散演化模型突出了演化和生态建模中的几个重要问题

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Previous results showing that lack of information on local population density leads to higher emigration probabilities in unpredictable environments but to lower emigration probabilities in constant or highly predictable scenarios have recently been challenged by Poethke et al. By reimplementing both our model and that of Poethke and colleagues, we demonstrate that our original results indeed hold to the presented critiques and do not contradict previous findings. The comment by Poethke and colleagues does, however, present potentially intriguing results suggesting that negative density-dependent dispersal evolves under white noise for some model formulations. Here, through intermodel comparison, we seek to better understand the source of the differences in results obtained in our study and theirs. We conclude that the apparent negative density dependence reported by Poethke et al. is effectively density independence and that the shape of the reaction norm they obtain is a model artefact. Further, this response provides an opportunity to elaborate on some important issues in evolutionary and ecological modeling regarding (i) the importance of carefully considering different models' assumptions in comparisons among models, (ii) the need to consider the role of stochasticity and uncertainty when presenting and interpreting results from stochastic individual-based models, (iii) the adequate choice of the underlying ecological model that creates the selective pressures determining the evolution of behavioral reaction norms, and (iv) the appropriate choice of mutation models.
机译:以前的结果表明,缺乏有关本地人口密度的信息会导致在不可预测的环境中更高的移民概率,但在恒定或高度可预测的情况下则会降低移民概率,这已经受到Poethke等人的挑战。通过重新实现我们的模型以及Poethke及其同事的模型,我们证明了我们的原始结果确实符合提出的批评,并且与先前的发现并不矛盾。但是,Poethke及其同事的评论确实提出了潜在的有趣结果,表明某些模型公式在白噪声下会产生负密度依赖的色散。在这里,通过模型间的比较,我们试图更好地理解在我们的研究中获得的结果及其差异的根源。我们得出的结论是,Poethke等人报道的表观负密度依赖性。有效地独立于密度,并且它们获得的反应范数的形状是模型伪像。此外,这种回应提供了一个机会,可以详细阐述进化和生态建模中的一些重要问题,这些问题包括:(i)在模型之间进行比较时,认真考虑不同模型的假设的重要性;(ii)何时需要考虑随机性和不确定性的作用呈现和解释基于随机个体的模型的结果,(iii)适当选择潜在的生态模型,从而产生决定行为反应规范演变的选择压力,以及(iv)适当选择突变模型。

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