Sensory Ecology Group, University of Düsseldorf, Düsseldorf, Germany.
Oecologia. 2011 May;166(1):161-74. doi: 10.1007/s00442-010-1824-9. Epub 2010 Nov 11.
The measurement of insect visits to flowers is essential in basic and applied pollination ecology studies but often fraught with difficulty. Floral visitation is highly variable, and observational studies are limited in scope due to the considerable time necessary to acquire reliable data. The aim of our study was to investigate whether the analysis of hydrocarbon residues (footprints) deposited by insects during flower visits would allow reconstruction of the visitor community and prediction of seed set for large numbers of plants. In 3 consecutive years, we recorded bumblebee visitation to wild plants of comfrey, Symphytum officinale, and later used gas chromatography/mass spectrometry (GC/MS) to quantify bumblebee-derived unsaturated hydrocarbons (UHCs) extracted from flowers. We found that the UHCs washed from corollas were most similar to the tarsal UHC profile of the most abundant bumblebee species, Bombus pascuorum, in all 3 years. The species composition of the bumblebee communities estimated from UHCs on flowers were also similar to those actually observed. There was a significant positive correlation between the observed number of visits by each of three bumblebee species (contributing 3-68% of flower visits) and the estimated number of visits based on UHC profiles. Furthermore, significant correlations were obtained separately for workers and drones of two of the study species. Seed set of comfrey plants was positively correlated to overall bumblebee visitation and the total amount of UHCs on flowers, suggesting the potential for pollen limitation. We suggest that quantifying cumulative footprint hydrocarbons provides a novel way to assess floral visitation by insects and can be used to predict seed set in pollen-limited plants.
昆虫访问花朵的测量在基础和应用授粉生态学研究中至关重要,但通常充满困难。花朵访问具有高度可变性,由于获得可靠数据所需的大量时间,观察性研究的范围有限。我们的研究旨在调查分析昆虫在花朵访问过程中沉积的碳氢化合物残留物(足迹)是否可以重建访问者群落并预测大量植物的种子产量。在连续的 3 年中,我们记录了熊蜂对野生毛地黄植物的访问,然后使用气相色谱/质谱(GC/MS)定量从花朵中提取的熊蜂衍生的不饱和碳氢化合物(UHC)。我们发现,在所有 3 年中,从花瓣中洗出的 UHC 与最丰富的熊蜂物种,Bombus pascuorum 的跗节 UHC 图谱最为相似。从花朵上的 UHC 估算出的熊蜂群落的物种组成也与实际观察到的相似。观察到的三种熊蜂物种(占花朵访问量的 3-68%)的访问次数与基于 UHC 图谱估计的访问次数之间存在显著正相关。此外,两个研究物种的工蜂和雄蜂分别获得了显著的相关性。毛地黄植物的种子产量与总体熊蜂访问量和花朵上 UHC 的总量呈正相关,表明存在花粉限制的可能性。我们建议,量化累积足迹碳氢化合物为评估昆虫对花朵的访问提供了一种新方法,并可用于预测花粉限制植物的种子产量。