Goldenberg Shifra Z, Douglas-Hamilton Iain, Wittemyer George
Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO 80523, USA; Save the Elephants, Nairobi 00200, Kenya.
Save the Elephants, Nairobi 00200, Kenya; Department of Zoology, University of Oxford, Oxford OX1 3PS, UK.
Curr Biol. 2016 Jan 11;26(1):75-9. doi: 10.1016/j.cub.2015.11.005. Epub 2015 Dec 17.
Network resilience to perturbation is fundamental to functionality in systems ranging from synthetic communication networks to evolved social organization [1]. While theoretical work offers insight into causes of network robustness, examination of natural networks can identify evolved mechanisms of resilience and how they are related to the selective pressures driving structure. Female African elephants (Loxodonta africana) exhibit complex social networks with node heterogeneity in which older individuals serve as connectivity hubs [2, 3]. Recent ivory poaching targeting older elephants in a well-studied population has mirrored the targeted removal of highly connected nodes in the theoretical literature that leads to structural collapse [4, 5]. Here we tested the response of this natural network to selective knockouts. We find that the hierarchical network topology characteristic of elephant societies was highly conserved across the 16-year study despite ∼70% turnover in individual composition of the population. At a population level, the oldest available individuals persisted to fill socially central positions in the network. For analyses using known mother-daughter pairs, social positions of daughters during the disrupted period were predicted by those of their mothers in years prior, were unrelated to individual histories of family mortality, and were actively built. As such, daughters replicated the social network roles of their mothers, driving the observed network resilience. Our study provides a rare bridge between network theory and an evolved system, demonstrating social redundancy to be the mechanism by which resilience to perturbation occurred in this socially advanced species.
网络对干扰的恢复力是从合成通信网络到进化的社会组织等各种系统功能的基础[1]。虽然理论工作有助于深入了解网络稳健性的成因,但对自然网络的研究可以识别出进化的恢复力机制以及它们与驱动结构的选择压力之间的关系。雌性非洲象(Loxodonta africana)展现出复杂的社会网络,其中节点具有异质性,年长个体充当连接枢纽[2, 3]。在一个经过充分研究的象群中,近期针对年长大象的象牙偷猎行为,类似于理论文献中针对高度连接节点的定向移除,这会导致结构崩溃[4, 5]。在此,我们测试了这个自然网络对选择性敲除的反应。我们发现,尽管种群个体组成在16年的研究期间有大约70%的更替,但大象社会的分层网络拓扑特征在整个研究过程中高度保守。在种群层面,现存最年长的个体持续占据网络中的社会核心位置。对于使用已知母女对进行的分析,女儿在受干扰时期的社会地位可由其母亲之前年份的社会地位预测,与家庭死亡率的个体历史无关,且是积极构建的。因此,女儿复制了母亲的社会网络角色,推动了观察到的网络恢复力。我们的研究在网络理论与一个进化系统之间架起了一座罕见的桥梁,证明社会冗余是这个社会高度发达的物种中发生对干扰恢复力的机制。