Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Wan, Miao, Keer, Liu, Yizheng, Zhang, Jie, Zhao, Yang, Hu, Dongfang, Wang, Pengcheng, Li, Peng, Chang, Qing, Hu, Chaochao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099200/
https://www.ncbi.nlm.nih.gov/pubmed/37066064
http://dx.doi.org/10.1002/ece3.10005
_version_ 1785025002266951680
author Chen, Wan
Miao, Keer
Liu, Yizheng
Zhang, Jie
Zhao, Yang
Hu, Dongfang
Wang, Pengcheng
Li, Peng
Chang, Qing
Hu, Chaochao
author_facet Chen, Wan
Miao, Keer
Liu, Yizheng
Zhang, Jie
Zhao, Yang
Hu, Dongfang
Wang, Pengcheng
Li, Peng
Chang, Qing
Hu, Chaochao
author_sort Chen, Wan
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10099200
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-100992002023-04-14 Using DNA barcoding and field surveys to guide wildlife management at Nanjing Lukou International Airport, China Chen, Wan Miao, Keer Liu, Yizheng Zhang, Jie Zhao, Yang Hu, Dongfang Wang, Pengcheng Li, Peng Chang, Qing Hu, Chaochao Ecol Evol Research Articles 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. John Wiley and Sons Inc. 2023-04-13 /pmc/articles/PMC10099200/ /pubmed/37066064 http://dx.doi.org/10.1002/ece3.10005 Text en © 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Chen, Wan
Miao, Keer
Liu, Yizheng
Zhang, Jie
Zhao, Yang
Hu, Dongfang
Wang, Pengcheng
Li, Peng
Chang, Qing
Hu, Chaochao
Using DNA barcoding and field surveys to guide wildlife management at Nanjing Lukou International Airport, China
title Using DNA barcoding and field surveys to guide wildlife management at Nanjing Lukou International Airport, China
title_full Using DNA barcoding and field surveys to guide wildlife management at Nanjing Lukou International Airport, China
title_fullStr Using DNA barcoding and field surveys to guide wildlife management at Nanjing Lukou International Airport, China
title_full_unstemmed Using DNA barcoding and field surveys to guide wildlife management at Nanjing Lukou International Airport, China
title_short Using DNA barcoding and field surveys to guide wildlife management at Nanjing Lukou International Airport, China
title_sort using dna barcoding and field surveys to guide wildlife management at nanjing lukou international airport, china
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099200/
https://www.ncbi.nlm.nih.gov/pubmed/37066064
http://dx.doi.org/10.1002/ece3.10005
work_keys_str_mv AT chenwan usingdnabarcodingandfieldsurveystoguidewildlifemanagementatnanjinglukouinternationalairportchina
AT miaokeer usingdnabarcodingandfieldsurveystoguidewildlifemanagementatnanjinglukouinternationalairportchina
AT liuyizheng usingdnabarcodingandfieldsurveystoguidewildlifemanagementatnanjinglukouinternationalairportchina
AT zhangjie usingdnabarcodingandfieldsurveystoguidewildlifemanagementatnanjinglukouinternationalairportchina
AT zhaoyang usingdnabarcodingandfieldsurveystoguidewildlifemanagementatnanjinglukouinternationalairportchina
AT hudongfang usingdnabarcodingandfieldsurveystoguidewildlifemanagementatnanjinglukouinternationalairportchina
AT wangpengcheng usingdnabarcodingandfieldsurveystoguidewildlifemanagementatnanjinglukouinternationalairportchina
AT lipeng usingdnabarcodingandfieldsurveystoguidewildlifemanagementatnanjinglukouinternationalairportchina
AT changqing usingdnabarcodingandfieldsurveystoguidewildlifemanagementatnanjinglukouinternationalairportchina
AT huchaochao usingdnabarcodingandfieldsurveystoguidewildlifemanagementatnanjinglukouinternationalairportchina