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大型脑容量可以缓冲食果性灵长类季节性栖息地的能量效应。

Large brains buffer energetic effects of seasonal habitats in catarrhine primates.

机构信息

Anthropological Institute and Museum, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.

出版信息

Evolution. 2012 Jan;66(1):191-9. doi: 10.1111/j.1558-5646.2011.01434.x. Epub 2011 Sep 13.

Abstract

Ecological factors have been shown to be important for brain size evolution. In this comparative study among catarrhine primates, we examine two different ways in which seasonality may be related to brain size. First, seasonality may impose energetic constraints on the brain because it forces animals to deal with periods of food scarcity (Expensive Brain hypothesis). Second, seasonality may act as a selective pressure to increase brain size, as behavioral flexibility helps to overcome periods of food scarcity (Cognitive Buffer hypothesis). Controlling for phylogeny, we found a strong negative relationship between brain size (relative to body mass) and the degree of experienced seasonality, as estimated by the variation in net energy intake. However, we also found a significant positive relationship between relative brain size and the effect of so-called cognitive buffering, proxied by the difference between environmental seasonality and the seasonality in net energy intake actually experienced by the animals. These results show that both energetic constraints of seasonal habitats as well as cognitive buffering affect brain size evolution, leaving environmental seasonality uncorrelated to brain size. With this study we show the importance of simultaneously considering both costs and benefits in models of brain size evolution.

摘要

生态因素被证明对大脑大小的进化很重要。在这项关于猫猴类灵长类动物的比较研究中,我们考察了季节变化与大脑大小相关的两种不同方式。首先,季节变化可能会给大脑带来能量限制,因为它迫使动物应对食物匮乏期(昂贵大脑假说)。其次,季节变化可能会成为增加大脑大小的选择压力,因为行为灵活性有助于克服食物匮乏期(认知缓冲假说)。控制了系统发育后,我们发现大脑大小(相对于体重)与经历的季节变化程度之间存在很强的负相关关系,这种关系是通过净能量摄入的变化来估计的。然而,我们还发现了一个显著的正相关关系,即相对大脑大小与所谓的认知缓冲效应之间的关系,这种关系由环境季节变化与动物实际经历的净能量摄入的季节变化之间的差异来表示。这些结果表明,季节性栖息地的能量限制以及认知缓冲都会影响大脑大小的进化,使环境季节变化与大脑大小无关。通过这项研究,我们展示了在大脑大小进化模型中同时考虑成本和收益的重要性。

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