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Metabarcoding avian diets at airports: implications for birdstrike hazard management planning

机译:机场的条码化鸟类饮食:对鸟类卒中危害管理规划的影响

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摘要

Background: Wildlife collisions with aircraft cost the airline industry billions ofdollars per annum and represent a public safety risk. Clearly, adaptingaerodrome habitats to become less attractive to hazardous wildlife willreduce the incidence of collisions. Formulating effective habitat managementstrategies relies on accurate species identification of high-risk species.This can be successfully achieved for all strikes either through morphologyand/or DNA-based identifications. Beyond species identification, dietaryanalysis of birdstrike gut contents can provide valuable intelligence forairport hazard management practices in regards to what food is attractingwhich species to aerodromes. Here, we present birdstrike identification anddietary data from Perth Airport, Western Australia, an aerodrome that sawapproximately 140,000 aircraft movements in 2012. Next-generation highthroughput DNA sequencing was employed to investigate 77 carcasses from 16bird species collected over a 12-month period. Five DNA markers, whichbroadly characterize vertebrates, invertebrates and plants, were used totarget three animal mitochondrial genes (12S rRNA, 16S rRNA, and COI) and aplastid gene (trnL) from DNA extracted from birdstrike carcassgastrointestinal tracts.Results: Over 151,000 DNA sequences were generated, filtered and analyzed by afusion-tag amplicon sequencing approach. Across the 77 carcasses, the mostcommonly identified vertebrate was Mus musculus (house mouse).Acrididae (grasshoppers) was the most common invertebrate family identified,and Poaceae (grasses) the most commonly identified plant family. TheDNA-based dietary data has the potential to provide some key insights intofeeding ecologies within and around the aerodrome.Conclusions: The data generated here, together with the methodological approach, willgreatly assist in the development of hazard management plans and, incombination with existing observational studies, provide an improved way tomonitor the effectiveness of mitigation strategies (for example, netting ofwater, grass type, insecticides and so on) at aerodromes. It is hoped thatwith the insights provided by dietary data, airports will be able toallocate financial resources to the areas that will achieve the bestoutcomes for birdstrike reduction.
机译:背景:与飞机的野生生物碰撞每年使航空业损失数十亿美元,并构成了公共安全风险。显然,适应机场栖息地以减少对危险野生生物的吸引力将减少碰撞的发生。制定有效的生境管理策略依赖于对高危物种的准确物种识别,这可以通过形态学和/或基于DNA的识别成功地实现所有罢工。除了物种识别之外,对鸟中风肠内容物的饮食分析还可以为机场危害管理实践提供有价值的情报,涉及哪些食物正在吸引哪些物种进入机场。在这里,我们提供了来自西澳大利亚州珀斯机场的鸟震识别和饮食数据,该机场在2012年飞行了约14万架飞机。采用下一代高通量DNA测序技术,调查了在12个月内收集的16种鸟类的77具尸体。使用五个具有广泛特征的脊椎动物,无脊椎动物和植物特征的DNA标记物,以从鸟击tri体胃肠道提取的DNA中靶向三个动物线粒体基因(12S rRNA,16S rRNA和COI)和质体基因(trnL)。结果:共有151,000个DNA序列通过融合标签扩增子测序方法生成,过滤和分析。在77具尸体中,最常见的脊椎动物是小家鼠(Mus musculus)。家蝇(Acrididae)(蚱s)是最常见的无脊椎动物家族,禾本科(禾本科)是最常见的植物家族。基于DNA的饮食数据有可能提供一些关键见解,以了解机场内和周围的喂养生态。结论:这里产生的数据,连同方法论方法,将极大地帮助制定危害管理计划,并与现有的观察研究相结合提供了一种改进的方法来监控机场缓解策略(例如水网,草类,杀虫剂等)的有效性。希望借助饮食数据提供的见解,机场将能够将财政资源分配到将实现减少鸟击的最佳成果的地区。

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