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首页> 外文期刊>The Royal Society Proceedings B: Biological Sciences >Cyclic variation in seasonal recruitment and the evolution of the seasonal decline in Ural owl clutch size.
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Cyclic variation in seasonal recruitment and the evolution of the seasonal decline in Ural owl clutch size.

机译:季节性补充中的周期性变化和乌拉尔猫头鹰离合器尺寸的季节性下降演变。

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摘要

Plastic life-history traits can be viewed as adaptive responses to environmental conditions, described by a reaction norm. In birds, the decline in clutch size with advancing laying date has been viewed as a reaction norm in response to the parent's own (somatic or local environmental) condition and the seasonal decline in its offspring's reproductive value. Theory predicts that differences in the seasonal recruitment are mirrored in the seasonal decrease in clutch size. We tested this prediction in the Ural owl. The owl's main prey, voles, show a cycle of low, increase and peak phases. Recruitment probability had a humped distribution in both increase and peak phases. Average recruitment probability was two to three times higher in the increase phase and declined faster in the latter part of the season when compared with the peak phase. Clutch size decreased twice as steep in the peak (0.1 eggs day(-1)) as in the increase phase (0.05 eggs day(-1)). This result appears to refute theoretical predictions of seasonal clutch size declines. However, a re-examination of current theory shows that the predictions of modelling are less robust to details of seasonal condition accumulation in birds than originally thought. The observed pattern can be predicted, assuming specifically shaped seasonal increases in condition across individuals.
机译:可塑性的生活史特征可以看作是对反应条件所描述的对环境条件的适应性反应。在家禽中,随着产蛋日期的增加,离合器尺寸的减小已被视为对父母自身(身体或局部环境)状况及其后代生殖价值的季节性下降做出的反应。理论预测,季节性招聘的差异反映出离合器尺寸的季节性减少。我们在乌拉尔猫头鹰中测试了这一预测。猫头鹰的主要猎物田鼠表现出低,高和高峰阶段的循环。招聘概率在增长阶段和高峰阶段均呈驼峰状分布。与高峰期相比,增长阶段的平均招聘概率高出两到三倍,而在季节的后期下降速度更快。离合器的大小在高峰期(0.1个鸡蛋日(-1))下降了两倍,而在增加期(0.05个鸡蛋日(-1))下降了两倍。这一结果似乎驳斥了季节性离合器尺寸下降的理论预测。然而,对当前理论的重新检验表明,建模预测对鸟类季节性条件积累细节的鲁棒性低于最初的想法。假设个体之间的状况呈特定形状的季节性增加,则可以预测观察到的模式。

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