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Is timing of reproduction according to temperature sums an optimal strategy?

机译:根据温度进行繁殖的时间是否是最佳策略?

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摘要

Temperature sums are widely used to predict the seasonal timing of yearly recurring biological events, such as flowering, budburst, and hatching. We use a classic energy allocation model for annual plants to compare a strategy for reproductive timing that follows a temperature sum rule (TSR) with a strategy that follows an optimal control rule (OCR) maximizing reproductive output. We show that the OCR corresponds to a certain TSR regardless of how temperature is distributed over the growing season as long as the total temperature sum over the whole growing season is constant between years. We discuss such scenarios, thus outlining under which type of variable growth conditions TSR maximizes reproductive output and should be favored by natural selection. By providing an ultimate explanation for a well‐documented empirical pattern this finding enhances the credibility of temperature sums as predictors of the timing of biological events. However, TSR and OCR respond in opposite directions when the total yearly temperature sum changes between years, representing, for example, variation in the length of the growing season. Our findings have implications for predicting optimal responses of organisms to climatic changes and suggest under which conditions natural selection should favor photoperiod versus temperature control.
机译:温度总和被广泛用于预测每年重复发生的生物事件(如开花,发芽和孵化)的季节时间。我们使用用于年生植物的经典能源分配模型来比较遵循温度总和规则(TSR)的繁殖时间策略与遵循最大化繁殖产量的最佳控制规则(OCR)的策略。我们表明,只要整个生长季节的总温度总和在数年之间是恒定的,则OCR对应于某个TSR,而与整个生长季节中温度的分布无关。我们讨论了这种情况,从而概述了在哪种类型的可变增长条件下,TSR可以最大化繁殖产量,自然选择应该受到青睐。通过为有据可查的经验模式提供最终解释,该发现增强了温度和作为生物事件发生时间的预测指标的可信度。但是,当年度总温度在数年之间变化时,TSR和OCR的响应方向相反,例如,代表了生长期的变化。我们的发现对预测生物体对气候变化的最佳响应具有暗示意义,并暗示自然选择应该在哪种条件下有利于光周期对温度的控制。

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