Crisol-Martínez Eduardo, Moreno-Moyano Laura T, Wormington Kevin R, Brown Philip H, Stanley Dragana
School of Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia.
School of Biosciences, University of Melbourne, Parkville, Victoria, Australia.
PLoS One. 2016 Mar 1;11(3):e0150159. doi: 10.1371/journal.pone.0150159. eCollection 2016.
Worldwide, avian communities inhabiting agro-ecosystems are threatened as a consequence of agricultural intensification. Unravelling their ecological role is essential to focus conservation efforts. Dietary analysis can elucidate bird-insect interactions and expose avian pest-reduction services, thus supporting avian conservation. In this study, we used next-generation sequencing to analyse the dietary arthropod contents of 11 sympatric bird species foraging in macadamia orchards in eastern Australia. Across all species and based on arthropod DNA sequence similarities ≥98% with records in the Barcode of Life Database, 257 operational taxonomy units were assigned to 8 orders, 40 families, 90 genera and 89 species. These taxa included 15 insect pests, 5 of which were macadamia pests. Among the latter group, Nezara viridula (Pentatomidae; green vegetable bug), considered a major pest, was present in 23% of all faecal samples collected. Results also showed that resource partitioning in this system is low, as most bird species shared large proportion of their diets by feeding primarily on lepidopteran, dipteran and arachnids. Dietary composition differed between some species, most likely because of differences in foraging behaviour. Overall, this study reached a level of taxonomic resolution never achieved before in the studied species, thus contributing to a significant improvement in the avian ecological knowledge. Our results showed that bird communities prey upon economically important pests in macadamia orchards. This study set a precedent by exploring avian pest-reduction services using next-generation sequencing, which could contribute to the conservation of avian communities and their natural habitats in agricultural systems.
在全球范围内,由于农业集约化,栖息在农业生态系统中的鸟类群落受到威胁。弄清楚它们的生态作用对于集中保护工作至关重要。饮食分析可以阐明鸟类与昆虫的相互作用,并揭示鸟类减少害虫的服务,从而支持鸟类保护。在本研究中,我们使用下一代测序技术分析了在澳大利亚东部澳洲坚果果园觅食的11种同域鸟类的饮食节肢动物成分。基于与生命条形码数据库中的记录的节肢动物DNA序列相似度≥98%,在所有物种中,共鉴定出257个操作分类单元,分属于8个目、40个科、90个属和89个物种。这些分类群包括15种害虫,其中5种是澳洲坚果害虫。在后者中,被认为是主要害虫的绿盲蝽(Nezara viridula,蝽科),在所有采集的粪便样本中有23%出现。结果还表明,该系统中的资源划分程度较低,因为大多数鸟类物种主要以鳞翅目、双翅目和蛛形纲动物为食,共享大部分食物。一些物种之间的饮食组成有所不同,很可能是由于觅食行为的差异。总体而言,本研究达到了此前在所研究物种中从未实现过的分类分辨率水平,从而显著增进了鸟类生态学知识。我们的结果表明,鸟类群落以澳洲坚果果园中具有经济重要性的害虫为食。本研究通过使用下一代测序技术探索鸟类减少害虫的服务开创了先例,这有助于保护农业系统中的鸟类群落及其自然栖息地。