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南京禄口国际机场昆虫月际发生规律及其与鸟类关系

徐洁1,高晋1,刘进伟1,吴聪1,王琪2,郑慧2,王备新1*   

  1. 1南京农业大学植物保护学院, 南京 210095;2南京禄口国际机场, 南京 211113)
  • 出版日期:2018-07-10 发布日期:2018-07-10

The monthly dynamics of lawn insects and their relationship with birds at Nanjing Lukou International Airport.

XU Jie1, GAO Jin1, LIU Jin-wei1, WU Cong1, WANG Qi2, ZHENG Hui2, WANG Bei-xin1*   

  1. (1College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, China; 2Nanjing Lukou International Airport, Nanjing 211113, China).
  • Online:2018-07-10 Published:2018-07-10

摘要: 掌握机场鸟类发生与草坪昆虫种类及数量间的关系有助于从食物链角度控制机场鸟类数量,降低鸟击风险。2015年3—11月采用网捕法和陷阱法调查了南京禄口国际机场草坪地上和地表昆虫,通过机场鸟情日常巡视工作记录飞行区内的鸟类种类和数量,通过解剖捕获的机场鸟类标本的嗉囊和胃确定其食物种类。调查共采集和鉴定出昆虫纲13目99科123种,26221头,优势类群为半翅目、膜翅目、双翅目、革翅目和鞘翅目,优势科为网蝽、摇蚊、蚜科和长蝽。地上和地表昆虫群落的密度和物种丰富度的月际变化均为单峰模式,地上昆虫和地表昆虫的发生高峰分别在8月(10头·m-2和59种)和9月(113头·杯-1和36种)。日常巡视共记录鸟类9目21科41种,活动高峰期为7—10月。鸟类素囔和胃检结果表明,昆虫、豆科和禾本科种子是鸟类的主要食物来源。Pearson相关性分析表明,杂食性鸟类月际发生量与昆虫月际发生数量呈显著正相关(P<0.05),并且也分别与直翅目、膜翅目、半翅目和鞘翅目昆虫的月际发生量呈显著正相关。广义线性回规模型结果表明,禄口机场3—11月的鸟类月际发生量可通过直翅目昆虫的月际发生数量进行预测。研究表明,禄口机场鸟类发生与草坪昆虫种类和数量密切相关,通过喷撒农药和定期割草等手段来降低禄口机场昆虫尤其是直翅目昆虫数量将有助于机场鸟击防范工作。

关键词: 许氏平鮋, 养殖系统, 水-气界面, CO2通量, 栉孔扇贝

Abstract: Exploring the temporal dynamic relationship between birds and insects helps the control of bird occurrence from a food-chain perspective and the risk reduction of birdair craft collisions. We monthly sampled lawn insects, recorded the airfield bird guild and inspected diets of bird specimens from March to November, 2015 at Nanjing Lukou International Airport. A total of 26221 insect individuals representing 123 species, 99 families, and 13 orders were collected and identified. Hemiptera, Hymenoptera, Diptera, Coleoptera and Dermaptera were the most abundant orders. Tingidae, Chironomidae, Aphididae and Lygaeidae were the most abundant families. The monthly variation of insect density and richness showed a unimodal pattern, with aboveground insects peaking in August (10 ind·m-2 and 59 species) and ground insects peaking in September (113 individuals per cup and 36 species). A total of 41 bird species belonging to 21 families and nine orders were recorded in the regular observation with the monthly dynamic peaked in the months of July to October. Dietary analysis revealed that insects, and weed seeds of Leguminosae and Gramineae were the main foods consumed by airfield bird. Pearson correlation analysis showed monthly bird individuals significantly and positively related to the total monthly insect individuals, as well as the monthly insect individuals of the orders of Orthoptera, Hymenoptera, Colleoptera and Hemiptera, respectively. Generalized linear model (GLM) showed that monthly dynamics of bird occurrence at Lukou Airport can be well predicted by Orthoptera individuals. Our results demonstrated close relationships between airfield bird occurrence and lawn insects. It would be helpful for reducing airfield bird occurrence by effective insect control measures such as pesticides application and regular mowing.

Key words: water-air interface, Chlamys farreri., aquaculture system, CO2 flux, Sebastes schlegelii