Department of Zoology, University of Wisconsin, Madison, Wisconsin 53706, USA.
Ecology. 2013 Oct;94(10):2321-33. doi: 10.1890/12-1948.1.
Ecological networks of two interacting guilds of species, such as flowering plants and pollinators, are common in nature, and studying their structure can yield insights into their resilience to environmental disturbances. Here we develop analytical methods for exploring the strengths of interactions within bipartite networks consisting of two guilds of phylogenetically related species. We then apply these methods to investigate the resilience of a plant-pollinator community to anticipated climate change. The methods allow the statistical assessment of, for example, whether closely related pollinators are more likely to visit plants with similar relative frequencies, and whether closely related pollinators tend to visit closely related plants. The methods can also incorporate trait information, allowing us to identify which plant traits are likely responsible for attracting different pollinators. These questions are important for our study of 14 prairie plants and their 22 insect pollinators. Over the last 70 years, six of the plants have advanced their flowering, while eight have not. When we experimentally forced earlier flowering times, five of the six advanced-flowering species experienced higher pollinator visitation rates, whereas only one of the eight other species had more visits; this network thus appears resilient to climate change, because those species with advanced flowering have ample pollinators earlier in the season. Using the methods developed here, we show that advanced-flowering plants did not have a distinct pollinator community from the other eight species. Furthermore, pollinator phylogeny did not explain pollinator community composition; closely related pollinators were not more likely to visit the same plant species. However, differences among pollinator communities visiting different plants were explained by plant height, floral color, and symmetry. As a result, closely related plants attracted similar numbers of pollinators. By parsing out characteristics that explain why plants share pollinators, we can identify plant species that likely share a common fate in a changing climate.
两种相互作用的物种群落(如开花植物和传粉者)的生态网络在自然界中很常见,研究它们的结构可以深入了解它们对环境干扰的恢复能力。在这里,我们开发了分析方法来探索由两个具有亲缘关系的物种群落组成的二分网络中相互作用的强度。然后,我们应用这些方法来研究植物-传粉者群落对预期气候变化的恢复力。这些方法允许统计评估,例如,亲缘关系密切的传粉者是否更有可能访问具有相似相对频率的植物,以及亲缘关系密切的传粉者是否倾向于访问亲缘关系密切的植物。这些方法还可以结合性状信息,使我们能够确定哪些植物性状可能吸引不同的传粉者。这些问题对于我们对 14 种草原植物及其 22 种昆虫传粉者的研究很重要。在过去的 70 年里,其中 6 种植物的花期提前,而 8 种植物没有。当我们通过实验迫使这些植物提前开花时,这 6 种花期提前的物种中有 5 种的传粉者访问率更高,而其他 8 种物种中只有 1 种的访问率更高;因此,这个网络对气候变化具有恢复力,因为那些花期提前的物种在季节早期就有充足的传粉者。使用这里开发的方法,我们表明花期提前的植物与其他 8 种植物没有明显不同的传粉者群落。此外,传粉者的系统发育并不能解释传粉者群落的组成;亲缘关系密切的传粉者不太可能访问相同的植物物种。然而,访问不同植物的传粉者群落之间的差异可以用植物高度、花色和对称性来解释。因此,亲缘关系密切的植物吸引了相似数量的传粉者。通过梳理出解释为什么植物共享传粉者的特征,我们可以确定在气候变化中可能共享共同命运的植物物种。