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Increase in body size is correlated to warmer winters in a passerine bird as inferred from time series data

机译:根据时间序列数据推断体型增加与雀形目鸟的冬季变暖相关

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摘要

Climate change is expected to affect natural populations in many ways. One way of getting an understanding of the effects of a changing climate is to analyze time series of natural populations. Therefore, we analyzed time series of 25 and 20 years, respectively, in two populations of the citril finch (Carduelis citrinella) to understand the background of a dramatic increase in wing length in this species over this period, ranging between 1.3 and 2.9 phenotypic standard deviations. We found that the increase in wing length is closely correlated to warmer winters and in one case to rain in relation to temperature in the summer. In order to understand the process of change, we implemented seven simulation models, ranging from two nonadaptive models (drift and sampling), and five adaptive models with selection and/or phenotypic plasticity involved and tested these models against the time series of males and females from the two population separately. The nonadaptive models were rejected in each case, but the results were mixed when it comes to the adaptive models. The difference in fit of the models was sometimes not significant indicating that the models were not different enough. In conclusion, the dramatic change in mean wing length can best be explained as an adaptive response to a changing climate.
机译:预计气候变化将在许多方面影响自然人口。了解气候变化影响的一种方法是分析自然人口的时间序列。因此,我们分别分析了两个雀科(Carduelis citrinella)种群的25年和20年的时间序列,以了解此期间该物种的翅长显着增加的背景,表型标准介于1.3和2.9之间偏差。我们发现机翼长度的增加与冬天的温暖密切相关,在某种情况下,与夏天的温度有关。为了了解变化的过程,我们实施了七个仿真模型,包括两个非自适应模型(漂移和采样),以及五个具有选择和/或表型可塑性的自适应模型,并针对男性和女性的时间序列测试了这些模型从两个人口分别。非自适应模型在每种情况下都被拒绝,但是当涉及到自适应模型时,结果是混杂的。模型拟合的差异有时并不明显,这表明模型之间的差异不够大。总之,平均机翼长度的急剧变化可以最好地解释为对气候变化的适应性反应。

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