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Interspecific social networks promote information transmission in wild songbirds

机译:种间社交网络促进野生鸣禽信息传递

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摘要

Understanding the functional links between social structure and population processes is a central aim of evolutionary ecology. Multiple types of interactions can be represented by networks drawn for the same population, such as kinship, dominance or affiliative networks, but the relative importance of alternative networks in modulating population processes may not be clear. We illustrate this problem, and a solution, by developing a framework for testing the importance of different types of association in facilitating the transmission of information. We apply this framework to experimental data from wild songbirds that form mixed-species flocks, recording the arrival (patch discovery) of individuals to novel foraging sites. We tested whether intraspecific and interspecific social networks predicted the spread of information about novel food sites, and found that both contributed to transmission. The likelihood of acquiring information per unit of connection to knowledgeable individuals increased 22-fold for conspecifics, and 12-fold for heterospecifics. We also found that species varied in how much information they produced, suggesting that some species play a keystone role in winter foraging flocks. More generally, these analyses demonstrate that this method provides a powerful approach, using social networks to quantify the relative transmission rates across different social relationships.
机译:了解社会结构与人口过程之间的功能联系是进化生态学的中心目标。可以通过针对同一人口绘制的网络来表示多种类型的互动,例如亲属关系,统治网络或隶属关系网络,但替代网络在调节人口过程中的相对重要性可能尚不清楚。通过开发一个框架来测试不同类型的关联在促进信息传递中的重要性,我们说明了这个问题和解决方案。我们将此框架应用于形成混合物种群的野生鸣禽的实验数据,记录个体到新型觅食地点的到达(补丁发现)。我们测试了种内和种间社交网络是否预测了有关新食物场所的信息的传播,并发现两者都有助于传播。对于特定物种,每单位与有知识的个体的联系获得信息的可能性增加22倍,对于异性个体增加12倍。我们还发现,物种产生的信息量各不相同,这表明某些物种在冬季觅食的鸡群中起关键作用。更一般而言,这些分析表明,该方法提供了一种强大的方法,使用社交网络来量化跨不同社交关系的相对传播率。

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