Juvenile mortality and sibling replacement: a kin selection approach.

IF 3.4 1区 生物学 Q2 EVOLUTIONARY BIOLOGY
Evolution Letters Pub Date : 2024-05-06 eCollection Date: 2024-10-01 DOI:10.1093/evlett/qrae018
Stefano Giaimo, Arne Traulsen
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引用次数: 0

Abstract

Mortality generally is higher around birth and then progressively declines through the juvenile stage. In species where offspring depend upon their parents during maturation, a factor behind this mortality decline could be sibling replacement: offspring sacrifice their survival to benefit future or present siblings as early as possible in order to minimize losses in parental investment. Here, we propose a kin-selection model of sibling replacement. Theoretical analysis of the model and its application to demographic data of mammals suggest that sibling replacement consistently generates a selective incentive for increasing juvenile mortality at early ages when this mortality increment is the result of positive selection for juvenile altruism within the nuclear family. The model highlights how sibling replacement goes beyond optimal allocation of parental resources into dependents and can provoke greater mortality closer to birth also in response to a more favorable ratio of actors to recipients of altruism among siblings.

少年死亡率和兄弟姐妹替代:亲缘选择方法。
死亡率一般在出生前后较高,然后在幼年阶段逐渐下降。在后代在成熟过程中依赖父母的物种中,这种死亡率下降背后的一个因素可能是兄弟姐妹的替代:后代尽可能早地牺牲自己的生存来造福未来或现在的兄弟姐妹,以尽量减少亲代投资的损失。在这里,我们提出了一个兄弟姐妹替代的亲属选择模型。对该模型的理论分析及其对哺乳动物人口统计数据的应用表明,兄弟姐妹替代始终会产生一种选择性激励,使幼年时的幼崽死亡率增加,而这种死亡率的增加是核心家庭对幼崽利他主义的积极选择的结果。该模型强调了兄弟姐妹替代如何超越了父母资源的最佳分配,成为依赖者,并且在兄弟姐妹中利他行为的参与者与接受者的比例更有利的情况下,在接近出生时可能引发更高的死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Evolution Letters
Evolution Letters EVOLUTIONARY BIOLOGY-
CiteScore
13.00
自引率
2.00%
发文量
35
审稿时长
10 weeks
期刊介绍: Evolution Letters publishes cutting-edge new research in all areas of Evolutionary Biology. Available exclusively online, and entirely open access, Evolution Letters consists of Letters - original pieces of research which form the bulk of papers - and Comments and Opinion - a forum for highlighting timely new research ideas for the evolutionary community.
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