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美国俄亥俄州的景观构成预测了蜜蜂的成功。

Honey bee success predicted by landscape composition in Ohio, USA.

机构信息

Department of Entomology, The Ohio State University , Wooster, OH , USA.

出版信息

PeerJ. 2015 Mar 19;3:e838. doi: 10.7717/peerj.838. eCollection 2015.

Abstract

Foraging honey bees (Apis mellifera L.) can routinely travel as far as several kilometers from their hive in the process of collecting nectar and pollen from floral patches within the surrounding landscape. Since the availability of floral resources at the landscape scale is a function of landscape composition, apiculturists have long recognized that landscape composition is a critical determinant of honey bee colony success. Nevertheless, very few studies present quantitative data relating colony success metrics to local landscape composition. We employed a beekeeper survey in conjunction with GIS-based landscape analysis to model colony success as a function of landscape composition in the State of Ohio, USA, a region characterized by intensive cropland, urban development, deciduous forest, and grassland. We found that colony food accumulation and wax production were positively related to cropland and negatively related to forest and grassland, a pattern that may be driven by the abundance of dandelion and clovers in agricultural areas compared to forest or mature grassland. Colony food accumulation was also negatively correlated with urban land cover in sites dominated by urban and agricultural land use, which does not support the popular opinion that the urban environment is more favorable to honey bees than cropland.

摘要

觅食的蜜蜂(Apis mellifera L.)在从周围景观中的花卉斑块中采集花蜜和花粉的过程中,通常可以从蜂巢中远距离飞行好几公里。由于景观尺度上的花卉资源的可用性是景观组成的函数,养蜂人早就认识到景观组成是蜜蜂群体成功的关键决定因素。然而,很少有研究提供将群体成功指标与当地景观组成相关联的定量数据。我们采用了养蜂人调查,并结合 GIS 景观分析,来模拟俄亥俄州(美国)的群体成功与景观组成之间的关系,该地区以集约型农田、城市发展、落叶林和草原为特征。我们发现,群体的食物积累和蜂蜡生产与农田呈正相关,与森林和草原呈负相关,这种模式可能是由于农业地区蒲公英和三叶草的丰富度高于森林或成熟草地所致。在以城市和农业用地为主的地点,群体的食物积累与城市土地覆盖呈负相关,这与城市环境比农田更有利于蜜蜂的普遍观点相悖。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b76/4369331/29f01fec0b4b/peerj-03-838-g001.jpg

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