4.2 Article

Survival costs of reproduction predict age-dependent variation in maternal investment

期刊

JOURNAL OF EVOLUTIONARY BIOLOGY
卷 24, 期 10, 页码 2230-2240

出版社

WILEY
DOI: 10.1111/j.1420-9101.2011.02351.x

关键词

age-dependence; dynamic state-variable model; life-history theory; maternal effect; offspring size; reproductive investment

资金

  1. US EPA STAR
  2. Yale University
  3. NSF
  4. Royal Society
  5. Direct For Biological Sciences
  6. Division Of Environmental Biology [0909843] Funding Source: National Science Foundation
  7. Direct For Biological Sciences
  8. Division Of Integrative Organismal Systems [0950472] Funding Source: National Science Foundation

向作者/读者索取更多资源

Life-history theory predicts that older females will increase reproductive effort through increased fecundity. Unless offspring survival is density dependent or female size constrains offspring size, theory does not predict variation in offspring size. However, empirical data suggest that females of differing age or condition produce offspring of different sizes. We used a dynamic state-variable model to determine when variable offspring sizes can be explained by an interaction between female age, female state and survival costs of reproduction. We found that when costs depend on fecundity, young females with surplus state increase offspring size and reduce number to minimize fitness penalties. When costs depend on total reproductive effort, only older females increase offspring size. Young females produce small offspring, because decreasing offspring size is less expensive than number, as fitness from offspring investment is nonlinear. Finally, allocation patterns are relatively stable when older females are better at acquiring food and are therefore in better condition. Our approach revealed an interaction between female state, age and survival costs, providing a novel explanation for observed variation in reproductive traits.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据