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Colloquium Papers: Reproductive decisions under ecological constraints: Its about time

机译:座谈会论文:生态约束下的生殖决策:时间到了

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摘要

The switch point theorem (SPT) is the quantitative statement of the hypothesis that stochastic effects on survival, mate encounter, and latency affect individuals' time available for mating, the mean and variance in fitness, and thus, originally favored the evolution of individuals able to make adaptively flexible reproductive decisions. The SPT says that demographic stochasticity acting through variation in (i) individual survival probability, s; (ii) individual encounter probability, e; (iii) latency, l; (iv) the number of potential mates in the population, n; and (v) the distribution of fitness conferred, the w distribution, together affect average lifetime fitness, and induce adaptive switches in individual reproductive decisions. The switch point is the rank of potential mates at which focal individuals switch from accepting to rejecting potential mates, a decision rule that the SPT proves maximizes the average lifetime fitness of a focal individual under given values of ecological constraints on time. The SPT makes many predictions, including that the shape of the distribution of fitness conferred affects individual switch points. All else equal, higher probabilities of individual survival and encounter decrease the fraction of acceptable potential mates, such that focal individuals achieve higher average lifetime fitness by rejecting more potential mates. The primary prediction of the SPT is that each decision a focal individual makes is determined jointly by e, s, l, n, and the w distribution.
机译:转换点定理(SPT)是对以下假设的定量陈述:对生存,配偶相遇和潜伏期的随机影响会影响个体可交配的时间,适应度的均值和方差,因此,最初倾向于有能力的个体的进化。做出适应性强的生殖决策。小组委员会说,人口随机性是通过(i)个人生存概率s的变化而起作用的; (ii)个人遭遇的概率,e; (iii)等待时间,l; (iv)人口中潜在伴侣的数量,n; (v)赋予的适应度分布,w分布共同影响平均寿命适应度,并在个体生殖决策中引起适应性转换。转换点是潜在配偶的等级,焦点人物从接受配偶者变为拒绝潜在配偶,SPT证明的决策规则是,在给定的生态约束条件下,最大程度地延长了焦点人物的平均寿命。 SPT做出了许多预测,包括所提供的适应度分布的形状会影响各个开关点。在其他所有条件相同的情况下,个体生存和遭遇的概率较高,降低了可接受的潜在伴侣的比例,因此,专注的个体通过排斥更多的潜在伴侣而获得了更高的平均寿命。 SPT的主要预测是由e,s,l,n和w分布共同确定焦点人物做出的每个决定。

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