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A spatial network analysis of resource partitioning between bumblebees foraging on artificial flowers in a flight cage

机译:大黄蜂在笼中人工花上觅食的资源分配空间网络分析

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Background Individual bees exhibit complex movement patterns to efficiently exploit small areas within larger plant populations. How such individual spatial behaviours scale up to the collective level, when several foragers visit a common area, has remained challenging to investigate, both because of the low resolution of field movement data and the limited power of the statistical descriptors to analyse them. To tackle these issues we video recorded all flower visits ( N =?6205), and every interaction on flowers ( N =?628), involving foragers from a bumblebee ( Bombus terrestris ) colony in a large outdoor flight cage (880?msup2/sup), containing ten artificial flowers, collected on five consecutive days, and analysed bee movements using networks statistics. Results Bee-flower visitation networks were significantly more modular than expected by chance, indicating that foragers minimized overlaps in their patterns of flower visits. Resource partitioning emerged from differences in foraging experience among bees, and from outcomes of their interactions on flowers. Less experienced foragers showed lower activity and were more faithful to some flowers, whereas more experienced foragers explored the flower array more extensively. Furthermore, bees avoided returning to flowers from which they had recently been displaced by a nestmate, suggesting that bees integrate memories of past interactions into their foraging decisions. Conclusion Our observations, under high levels of competition in a flight cage, suggest that the continuous turnover of foragers observed in colonies can led to efficient resource partitioning among bees in natural conditions.
机译:背景技术个体蜜蜂表现出复杂的运动方式,可以有效地利用较大植物种群中的小区域。当几个觅食者访问一个公共区域时,如何将这些个体空间行为扩展到集体水平,由于田野运动数据的分辨率低和统计描述符分析它们的能力有限,仍然难以调查。为了解决这些问题,我们通过视频记录了所有花朵的访视(N =?6205),以及在花朵上的每次互动(N =?628),涉及了来自大型室外飞行笼(880?m < sup> 2 ),其中包含十朵人造花,连续五天收集它们,并使用网络统计数据分析蜜蜂的活动。结果蜜蜂探望网络的模块性比偶然预期的要好得多,这表明觅食者将其探访花朵的方式重叠最小化。资源分配源于蜜蜂之间觅食经验的差异,以及蜜蜂在花朵上相互作用的结果。经验不足的觅食者活动较少,对某些花朵更忠实,而经验丰富的觅食者则更广泛地探索花朵的排列。此外,蜜蜂避免回到最近被巢友转移的花朵,这表明蜜蜂将过去互动的记忆融入了觅食决策中。结论我们的观察结果表明,在飞行笼子中竞争激烈的情况下,在殖民地中观察到的觅食者的连续周转可以导致自然条件下蜜蜂之间的有效资源分配。

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