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中国海南省东寨港红树林的蠓科昆虫(双翅目:蠓科)

Latreille biting midges (Diptera: Ceratopogonidae) of the Dongzhaigang mangrove forest, Hainan Province, China.

作者信息

Li Jia-Hui, Gopurenko David, Cai DU-Cheng, Yang Ye-Meng, Hu Rong, Thepparat Arunrat, Wardhana April H, Kim Heung-Chul, Klein Terry A, Kim Myung-Soon, Bellis Glenn A

机构信息

College of Environment and Plant Protection, Hainan University, Haikou, Hainan, 570228, China NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Pine Gully Rd, Wagga Wagga, NSW, Australia, 2650.

出版信息

Zootaxa. 2017 Jan 31;4227(1):zootaxa.4227.1.2. doi: 10.11646/zootaxa.4227.1.2.

DOI:10.11646/zootaxa.4227.1.2
PMID:28187592
Abstract

The biting midge fauna of Dongzhaigang Mangrove Forest, Hainan Province, China was sampled on 14 October 2015 using three methods: a pan light trap operated from dusk until dawn the following morning and sweep net and human landing collections performed between 16:15-17:15 hr. Eight species, including two new records for China, Culicoides palawanensis and C. niphanae, and one new record for Hainan, C. circumbasalis, were collected. A key to assist with identification of specimens of these species is provided. DNA barcodes supported the morphological identification of some of these species and identified the potential presence of cryptic species and/or deep population structure in others. The newly recorded species were morphologically similar to species previously reported from Hainan, highlighting the need for further investigation into the taxonomy of biting midges in this region. Species composition and abundance varied considerably between the three collection techniques suggesting that multiple techniques likely provide a more comprehensive sample of biting midge fauna.

摘要

2015年10月14日,采用三种方法对中国海南省东寨港红树林的蠓类动物区系进行了采样:使用一个泛光灯诱捕器,从黄昏一直运行到第二天黎明;在16:15至17:15之间进行扫网和人饵诱捕采集。共采集到8个物种,其中包括在中国的两个新记录种——巴拉望库蠓和尼氏库蠓,以及在海南的一个新记录种——环基库蠓。提供了一个有助于鉴定这些物种标本的检索表。DNA条形码支持了其中一些物种的形态学鉴定,并确定了其他一些物种中可能存在隐存种和/或深层种群结构。新记录的物种在形态上与之前在海南报道的物种相似,这突出表明需要对该地区蠓类的分类学进行进一步研究。三种采集技术之间的物种组成和丰度差异很大,这表明多种技术可能会提供更全面的蠓类动物区系样本。

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