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利用DNA条形码技术和实地调查指导中国南京禄口国际机场的野生动物管理工作。

Using DNA barcoding and field surveys to guide wildlife management at Nanjing Lukou International Airport, China.

作者信息

Chen Wan, Miao Keer, Liu Yizheng, Zhang Jie, Zhao Yang, Hu Dongfang, Wang Pengcheng, Li Peng, Chang Qing, Hu Chaochao

机构信息

College of Environment and Ecology Jiangsu Open University (The City Vocational College of Jiangsu) Nanjing Jiangsu China.

Jiangsu Key Laboratory for Biodiversity and Biotechnology, School of Life Sciences Nanjing Normal University Nanjing Jiangsu China.

出版信息

Ecol Evol. 2023 Apr 13;13(4):e10005. doi: 10.1002/ece3.10005. eCollection 2023 Apr.

Abstract

The conflicts between wildlife and aircraft have increased due to the development of the aviation industry. While many studies have quantified the relative hazards of wildlife to aircraft, few studies have combined DNA barcoding techniques with field surveys of bird communities in different habitats to reveal the exact species involved in bird strikes and how the habitat heterogeneity around airports affects bird communities and even the occurrence of bird strikes. Taking Nanjing Lukou International Airport in China as an example, based on the DNA barcoding technology and detailed field research, we establish the most commonly struck species, which can help managers identify the level of hazard and lead to meaningful reductions in hazards and costs associated with bird strike. The investigation of bird communities showed that there were 149 bird species recorded within an 8 km radius. There were 89, 88, 61, and 88 species in the woodland, wetland, farmland, and urban area, respectively. In total, 303 samples identified 82 species representing 13 orders and 32 family of birds from bird strike cases, of which 24 species were not found in the field survey. Passeriformes were the most common order of birds identified, with 43 species represented in 167 identifications. Skylark, Thrush, Shrike, Lapwing, and Swallow were most likely to cause damage or substantial damage to aircraft when strikes occurred. In addition to birds, we identified 69 bats individuals (accounting for 22.77%) using DNA barcoding. The Bray-Curtis similarity analysis revealed that species involved in bird strike had the highest similarity with urban area. Our findings suggest that policymakers should pay more attention to managing the wetlands and urban areas surrounding the airport. These findings imply that DNA barcoding can add to the environmental monitoring in airports, which can facilitate hazard management and improve air safety.

摘要

随着航空业的发展,野生动物与飞机之间的冲突有所增加。虽然许多研究已经量化了野生动物对飞机的相对危害,但很少有研究将DNA条形码技术与不同栖息地鸟类群落的实地调查相结合,以揭示涉及鸟击事件的确切物种,以及机场周围栖息地的异质性如何影响鸟类群落甚至鸟击事件的发生。以中国南京禄口国际机场为例,基于DNA条形码技术和详细的实地研究,我们确定了最常被撞击的物种,这有助于管理人员识别危险程度,并切实降低与鸟击相关的危险和成本。鸟类群落调查显示,在半径8公里范围内记录到149种鸟类。林地、湿地、农田和市区分别有89种、88种、61种和88种。总共303个样本从鸟击案例中鉴定出82种鸟类,代表13目32科,其中24种在实地调查中未被发现。雀形目是鉴定出的最常见鸟类目,在167次鉴定中有43种。云雀、画眉、伯劳、田鹬和燕子在撞击发生时最有可能对飞机造成损坏或严重损坏。除了鸟类,我们还通过DNA条形码鉴定出69只蝙蝠个体(占22.77%)。Bray-Curtis相似性分析表明,涉及鸟击的物种与市区的相似性最高。我们的研究结果表明,政策制定者应更加重视管理机场周边的湿地和市区。这些发现意味着DNA条形码技术可以加强机场的环境监测,有助于危险管理并提高航空安全。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/487c/10099200/ca25b39b2a66/ECE3-13-e10005-g002.jpg

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