Suppr超能文献

测试蚂蚁中亲代投资策略和后代体型的模型。

Testing models of parental investment strategy and offspring size in ants.

作者信息

Gilboa Smadar, Nonacs Peter

机构信息

Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA.

出版信息

Oecologia. 2006 Jan;146(4):667-74. doi: 10.1007/s00442-005-0139-8. Epub 2005 Oct 25.

Abstract

Parental investment strategies can be fixed or flexible. A fixed strategy predicts making all offspring a single 'optimal' size. Dynamic models predict flexible strategies with more than one optimal size of offspring. Patterns in the distribution of offspring sizes may thus reveal the investment strategy. Static strategies should produce normal distributions. Dynamic strategies should often result in non-normal distributions. Furthermore, variance in morphological traits should be positively correlated with the length of developmental time the traits are exposed to environmental influences. Finally, the type of deviation from normality (i.e., skewed left or right, or platykurtic) should be correlated with the average offspring size. To test the latter prediction, we used simulations to detect significant departures from normality and categorize distribution types. Data from three species of ants strongly support the predicted patterns for dynamic parental investment. Offspring size distributions are often significantly non-normal. Traits fixed earlier in development, such as head width, are less variable than final body weight. The type of distribution observed correlates with mean female dry weight. The overall support for a dynamic parental investment model has implications for life history theory. Predicted conflicts over parental effort, sex investment ratios, and reproductive skew in cooperative breeders follow from assumptions of static parental investment strategies and omnipresent resource limitations. By contrast, with flexible investment strategies such conflicts can be either absent or maladaptive.

摘要

亲代投资策略可以是固定的或灵活的。固定策略预测使所有后代达到单一的“最优”大小。动态模型预测的灵活策略会产生不止一种最优的后代大小。因此,后代大小的分布模式可能揭示投资策略。静态策略应产生正态分布。动态策略通常会导致非正态分布。此外,形态特征的方差应与特征暴露于环境影响下的发育时间长度呈正相关。最后,偏离正态的类型(即向左或向右偏斜,或低峰态)应与平均后代大小相关。为了检验后一个预测,我们使用模拟来检测显著偏离正态的情况并对分布类型进行分类。来自三种蚂蚁的数据有力地支持了动态亲代投资的预测模式。后代大小分布通常显著非正态。在发育早期固定的特征,如头宽,比最终体重的变异性小。观察到的分布类型与平均雌性干重相关。对动态亲代投资模型的总体支持对生活史理论有影响。静态亲代投资策略和普遍存在的资源限制的假设会导致预测的在亲代努力、性别投资比率和合作繁殖者中的生殖偏斜方面的冲突。相比之下,采用灵活投资策略时,此类冲突可能不存在或具有适应性不良。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验