Chicago Botanic Garden, 1000 Lake Cook Road, Glencoe, IL, 60647, USA.
Rocky Mountain Biological Laboratory, P.O. Box 519, Crested Butte, CO, 81224, USA.
Ecol Lett. 2021 Jan;24(1):149-161. doi: 10.1111/ele.13623. Epub 2020 Oct 19.
Most studies of plant-animal mutualistic networks have come from a temporally static perspective. This approach has revealed general patterns in network structure, but limits our ability to understand the ecological and evolutionary processes that shape these networks and to predict the consequences of natural and human-driven disturbance on species interactions. We review the growing literature on temporal dynamics of plant-animal mutualistic networks including pollination, seed dispersal and ant defence mutualisms. We then discuss potential mechanisms underlying such variation in interactions, ranging from behavioural and physiological processes at the finest temporal scales to ecological and evolutionary processes at the broadest. We find that at the finest temporal scales (days, weeks, months) mutualistic interactions are highly dynamic, with considerable variation in network structure. At intermediate scales (years, decades), networks still exhibit high levels of temporal variation, but such variation appears to influence network properties only weakly. At the broadest temporal scales (many decades, centuries and beyond), continued shifts in interactions appear to reshape network structure, leading to dramatic community changes, including loss of species and function. Our review highlights the importance of considering the temporal dimension for understanding the ecology and evolution of complex webs of mutualistic interactions.
大多数关于动植物互惠网络的研究都来自于时间静态的角度。这种方法揭示了网络结构的一般模式,但限制了我们理解塑造这些网络的生态和进化过程的能力,也限制了我们预测自然和人为干扰对物种相互作用的后果的能力。我们回顾了关于动植物互惠网络的时间动态的不断增长的文献,包括传粉、种子传播和蚂蚁防御互惠关系。然后,我们讨论了这种相互作用变化的潜在机制,从最细微的时间尺度上的行为和生理过程到最广泛的生态和进化过程。我们发现,在最细微的时间尺度(天、周、月)上,互利相互作用是高度动态的,网络结构有很大的变化。在中间尺度(年、十年)上,网络仍然表现出很高的时间变化,但这种变化似乎对网络属性的影响很弱。在最广泛的时间尺度(几十年、几个世纪甚至更长时间)上,相互作用的持续变化似乎正在重塑网络结构,导致群落发生剧烈变化,包括物种和功能的丧失。我们的综述强调了考虑时间维度对于理解复杂互利相互作用网络的生态和进化的重要性。