Department of Wildland Resources, Utah State University, Logan, UT, USA
Department of Veterinary Microbiology and Pathology, Washington State University, Pullman, WA, USA.
Proc Biol Sci. 2018 Sep 19;285(1887):20180670. doi: 10.1098/rspb.2018.0670.
Ecologists regularly use animal contact networks to describe interactions underlying pathogen transmission, gene flow, and information transfer. However, empirical descriptions of contact often overlook some features of individual movement, and decisions about what kind of network to use in a particular setting are commonly Here, we relate individual movement trajectories to contact networks through a tripartite network model of individual, space, and time nodes. Most networks used in animal contact studies (e.g. individual association networks, home range overlap networks, and spatial networks) are simplifications of this tripartite model. The tripartite structure can incorporate a broad suite of alternative ecological metrics like home range sizes and patch occupancy patterns into inferences about contact network metrics such as modularity and degree distribution. We demonstrate the model's utility with two simulation studies using alternative forms of ecological data to constrain the tripartite network's structure and inform expectations about the harder-to-measure metrics related to contact.
生态学家经常使用动物接触网络来描述病原体传播、基因流动和信息传递的基础相互作用。然而,对接触的经验描述往往忽略了个体运动的一些特征,而且关于在特定环境中使用哪种网络的决策通常是基于对网络结构的假设。在这里,我们通过个体、空间和时间节点的三分网络模型将个体运动轨迹与接触网络联系起来。动物接触研究中使用的大多数网络(例如个体关联网络、活动范围重叠网络和空间网络)都是这种三分模型的简化。三分结构可以将一系列广泛的替代生态指标(如活动范围大小和斑块占有模式)纳入对接触网络指标(如模块性和度分布)的推断中。我们使用两种模拟研究来演示该模型的实用性,这些研究使用替代形式的生态数据来约束三分网络的结构,并为更难测量的与接触相关的指标提供信息。