Department of Bioscience, Aarhus University, Aarhus C, Denmark.
PLoS One. 2013 Dec 4;8(12):e81694. doi: 10.1371/journal.pone.0081694. eCollection 2013.
Most ecological networks are analysed as static structures, where all observed species and links are present simultaneously. However, this is over-simplified, because networks are temporally dynamical. We resolved an arctic, entire-season plant-flower visitor network into a temporal series of 1-day networks and compared the properties with its static equivalent based on data pooled over the entire season. Several properties differed. The nested link pattern in the static network was blurred in the dynamical version, because the characteristic long nestedness tail of flower-visitor specialists got stunted in the dynamical networks. This tail comprised a small food web of pollinators, parasitoids and hyper-parasitoids. The dynamical network had strong time delays in the transmission of direct and indirect effects among species. Twenty percent of all indirect links were impossible in the dynamical network. Consequently, properties and thus also robustness of ecological networks cannot be deduced from the static topology alone.
大多数生态网络被分析为静态结构,其中所有观察到的物种和链接同时存在。然而,这过于简化了,因为网络在时间上是动态的。我们将一个北极地区的整个季节的植物-花访客网络解析为一个时间序列的 1 天网络,并将其与基于整个季节汇总的数据的静态等效网络进行比较。几个属性不同。静态网络中的嵌套链接模式在动态版本中变得模糊,因为花访客专家的特征长嵌套尾巴在动态网络中变得矮小。这个尾巴包含一个小的传粉媒介、寄生蜂和超寄生蜂的食物网。动态网络中物种之间的直接和间接影响的传递存在很强的时间延迟。在动态网络中,有 20%的间接链接是不可能的。因此,生态网络的性质,以及因此其稳健性,不能仅从静态拓扑结构来推断。