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Alarm communication networks as a driver of community structure in African savannah herbivores.
Ecology Letters ( IF 7.6 ) Pub Date : 2019-11-27 , DOI: 10.1111/ele.13432
Kristine Meise 1, 2 , Daniel W Franks 2, 3 , Jakob Bro-Jørgensen 1
Affiliation  

Social information networks have the potential to shape the spatial structure of ecological communities by promoting the formation of mixed-species groups. However, what actually drives social affinity between species in the wild will depend on the characteristics of the species available to group. Here we first present an agent-based model that predicts trait-related survival benefits from mixed-species group formation in a multi-species community and we then test the model predictions in a community-wide field study of African savannah herbivores using multi-layered network analysis. We reveal benefits from information transfer about predators as a key determinant of mixed-species group formation, and that dilution benefits alone are not enough to explain patterns in interspecific sociality. The findings highlight the limitations of classical ecological approaches focusing only on direct trophic interactions when analysing community structure and suggest that declines in species occupying central social network positions, such as key informants, can have significant repercussions throughout communities.

中文翻译:

警报通信网络是非洲大草原草食动物社区结构的驱动力。

社会信息网络有可能通过促进混合物种群体的形成来塑造生态社区的空间结构。但是,实际上推动野生物种之间社会亲和力的因素将取决于可归类的物种的特征。在这里,我们首先提出一个基于代理的模型,该模型可预测多物种社区中混合物种组形成的性状相关的生存收益,然后我们在非洲大草原草食动物的社区范围实地研究中使用多层方法对模型预测进行测试网络分析。我们揭示了有关掠食者的信息传递的好处,因为掠食者是混合物种群体形成的关键决定因素,而且仅靠稀释带来的好处还不足以解释种间社会关系的模式。
更新日期:2019-11-28
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