Menzel Randolf, Tison Lea, Fischer-Nakai Johannes, Cheeseman James, Balbuena Maria Sol, Chen Xiuxian, Landgraf Tim, Petrasch Julian, Polster Johannes, Greggers Uwe
Institute of Biology, Freie Universität Berlin, Berlin, Germany.
Fachbereich Biowissenschaften, Polytechnische Gesellschaft Frankfurt am Main, Institute für Bienenkunde, Goethe-Universität Frankfurt am Main, Frankfurt, Germany.
Front Behav Neurosci. 2019 Jan 15;12:322. doi: 10.3389/fnbeh.2018.00322. eCollection 2018.
Elongated landscape features like forest edges, rivers, roads or boundaries of fields are particularly salient landmarks for navigating animals. Here, we ask how honeybees learn such structures and how they are used during their homing flights after being released at an unexpected location (catch-and-release paradigm). The experiments were performed in two landscapes that differed with respect to their overall structure: a rather feature-less landscape, and one rich in close and far distant landmarks. We tested three different forms of learning: learning during orientation flights, learning during training to a feeding site, and learning during homing flights after release at an unexpected site within the explored area. We found that bees use elongated ground structures, e.g., a field boundary separating two pastures close to the hive (Experiment 1), an irrigation channel (Experiment 2), a hedgerow along which the bees were trained (Experiment 3), a gravel road close to the hive and the feeder (Experiment 4), a path along an irrigation channel with its vegetation close to the feeder (Experiment 5) and a gravel road along which bees performed their homing flights (Experiment 6). Discrimination and generalization between the learned linear landmarks and similar ones in the test area depend on their object properties (irrigation channel, gravel road, hedgerow) and their compass orientation. We conclude that elongated ground structures are embedded into multiple landscape features indicating that memory of these linear structures is one component of bee navigation. Elongated structures interact and compete with other references. Object identification is an important part of this process. The objects are characterized not only by their appearance but also by their alignment in the compass. Their salience is highest if both components are close to what had been learned. High similarity in appearance can compensate for (partial) compass misalignment, and vice versa.
诸如森林边缘、河流、道路或田界等狭长的地貌特征,对于导航动物而言是特别显著的地标。在此,我们探究蜜蜂如何学习这些结构,以及在意外地点(捕捉-释放范式)被释放后,它们在归巢飞行中如何利用这些结构。实验在两种总体结构不同的景观中进行:一种是特征较少的景观,另一种是远近地标丰富的景观。我们测试了三种不同的学习形式:在定向飞行中学习、在前往喂食地点的训练中学习,以及在探索区域内意外地点释放后的归巢飞行中学习。我们发现蜜蜂会利用狭长的地面结构,例如靠近蜂巢分隔两个牧场的田界(实验1)、一条灌溉渠道(实验2)、蜜蜂接受训练时沿着的树篱(实验3)、靠近蜂巢和喂食器的砾石路(实验4)、沿着靠近喂食器且有植被的灌溉渠道的小路(实验5),以及蜜蜂进行归巢飞行时沿着的砾石路(实验6)。在测试区域中,已学习的线性地标与相似地标的辨别和泛化取决于它们的物体属性(灌溉渠道、砾石路、树篱)及其罗盘方向。我们得出结论,狭长的地面结构融入了多种景观特征,这表明对这些线性结构的记忆是蜜蜂导航的一个组成部分。狭长结构与其他参照相互作用并相互竞争。物体识别是这一过程的重要部分。这些物体不仅由其外观特征,还由其在罗盘中的排列方向来表征。如果这两个要素都与所学内容相近,那么它们的显著性最高。外观上的高度相似可以弥补(部分)罗盘方向的偏差,反之亦然。