Density dependence and eco-evolutionary dynamics of animal social networks: a comment on Shizuka and Johnson
Density dependence and eco-evolutionary dynamics of animal social networks: a comment on Shizuka and Johnson
复制标题
动物社交网络的密度依赖性和生态进化动力学：对 Shizuka 和 Johnson 的评论
DOI：
10.1093/beheco/arz150
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发表时间：
2020
影响因子：
2.4
通讯作者：
Quinn M. R. Webber
中科院分区：
文献类型：
--
作者：
E. Wal;Quinn M. R. Webber
然而，并不是所有的节点损耗和引入都是相等的。节点的个体特征会影响其丢失或引入对其网络的影响。有些人比其他人更具社会性，这些差异反映在网络连接的存在和频率上（Krause et al. 2010）。当高度社会化的个体加入一个新的网络时，他们会启动影响网络结构的多个连接，这是合理的。同样，失去一个社会性个体（无论是死亡还是离散），对网络的破坏程度都大于失去一个不太社会化的个体。例如，青少年往往比成年人更活跃（Turner et al. 2018），他们的死亡或分散可能导致网络连接的显着减少。此外，根据它们的社会性，个体对失去连接（或出现新的同种物种）的反应会有所不同。动物有时会优先与成功的同种物种连接（Kulahci et al. 2018），因为这样做可以提供即时和未来的好处（Kulahci and Quinn 2019）。通过从一个群体中引入或移除成功的个人，人口统计学事件可以间接导致网络变化。例如，一个少年可能会在他纳塔尔的群体中学习一种新的行为（例如，更有效地利用资源的方式），然后再分散到另一个群体中。成功的移民在新群体中表现出新奇的行为后，可能比其他移民有更好的机会融入社会网络。同样，失去那些拥有其他人所没有的知识的人（麦科姆et al. 2001）可能会产生惊人的后果。因此，新的节点可以向群体引入新的行为和知识，而节点的丢失可以删除它们;这两个过程都有可能通过影响现有群体成员的反应来反馈网络结构。
Yet, not all node losses and introductions are equal. Individual characteristics of a node can influence how its loss or introduction affects its network. Some individuals are more social than others and these differences are reflected in the presence and the frequency of network connections (Krause et al. 2010). It is plausible that when highly social individuals join a new network, they would initiate multiple connections that influence the network structure. Likewise, loss of a social individual (either by death or dispersal) will disrupt the network more than the loss of a less-social individual. For example, juveniles tend to be more socially active than adults (Turner et al. 2018), and their death or dispersal can result in a significant reduction in network connectivity. Additionally, depending on how social they are, individuals will vary in their responses to the loss of a connection (or to the presence of new conspecifics).Animals sometimes preferentially connect with successful conspecifics (Kulahci et al. 2018) as doing so provides immediate and future benefits (Kulahci and Quinn 2019). By introducing or removing successful individuals from a group, demographic events can indirectly lead to network changes. For instance, a juvenile might learn a novel behavior (eg, more efficient way to utilize a resource) in his natal group before dispersing into another group. This successful immigrant, after displaying the novel behavior in the new group, might have a better chance of being integrated into the social network than other immigrants do. Similarly, loss of individuals who possess knowledge that others do not have (McComb et al. 2001) can have striking consequences. Consequently, new nodes can introduce new behaviors and knowledge to the group, while loss of nodes can remove them; and both processes have the potential to feedback on to the network structure by influencing how existing group members respond.
影响因子：
2.4
作者：
D. Shizuka;Allison E. Johnson
通讯作者：
D. Shizuka;Allison E. Johnson