Interspecific social networks promote information transmission in wild songbirds.

Interspecific social networks promote information transmission in wild songbirds.
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种间社交网络促进野生鸣禽的信息传递。

DOI:
10.1098/rspb.2014.2804
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发表时间:
2015-03-22
期刊:
Proceedings. Biological sciences
影响因子:
--
通讯作者:
Hoppitt W
Hoppitt W
中科院分区:
其他
文献类型:
--
作者:
Farine DR;Aplin LM;Sheldon BC;Hoppitt W

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理解社会结构和种群过程之间的功能联系是进化生态学的核心目标。多种类型的相互作用可以由为同一种群绘制的网络来表示,如亲属关系、支配关系或从属关系网络,但替代网络在调节种群进程中的相对重要性可能尚不清楚。我们说明了这个问题,并提出了解决方案,通过开发一个框架来测试不同类型的协会在促进信息传输的重要性。我们应用这个框架的实验数据,从野生鸣禽,形成混合物种的羊群,记录个人的到来(补丁发现)到新的觅食地点。我们测试了种内和种间社交网络是否能预测新食物网站信息的传播,发现两者都有助于传播。每单位的连接知识渊博的个人获得信息的可能性增加了22倍的同种和12倍的异种。我们还发现,物种在产生多少信息方面存在差异,这表明某些物种在冬季觅食群中发挥着关键作用。更一般地说,这些分析表明,这种方法提供了一个强大的方法,使用社交网络来量化不同社会关系的相对传输率。
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.
DOI: 10.1093/beheco/11.1.110
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影响因子: 2.4
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影响因子: 4.7
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