中文摘要：

【目的】为了探究3种常用物种界定方法（iMOTU、ABGD、GMYC）的界定效果。【方法】本研究以中国北京周边地区10个采样点483个舟蛾科样品为例，利用线粒体细胞色素C氧化酶I亚基基因（Cytochrome c oxidasesubunit I gene，CO I或COX1，约650bp）的部分序列，进行3种物种界定算法（iMOTU、ABGD、GMYC）的实例比较研究。【结果】3种物种界定方法的鉴定效力存在差异，与形态学结果相比较，ABGD方法划分物种的准确率为100％，基于BEAST的GMYC模型结果与形态学结果一致，产生的置信区间（64～68）覆盖了形态学的结果（67o然而，基于d8tree／MPLtree的GMYC方法倾向于高估MOTUs，iMOTU方法倾向于低估物种数目。【结论】结果显示，ABGD方法和基于BEAST的GMYC模型方法对于本文研究对象舟蛾科能够较好地划分，可以对基于形态学的物种界定进行有效补充。

英文摘要：

[Objectives] To evaluate the performance of three species identification algorithms （jMOTU, ABGD, GMYC） with respect to the Notodontidae （Insecta, Lepidoptera）. [Methods] CO I genes from 483 notodontid moth specimens collected from 10 collection sites in Northern China around Beijing were amplified using universal barcoding primers. [Results] Results obtained using each of the three algorithims differed. Using the results obtained by morphological species identification methods as a reference, the ABGD algorithm was 100% accurate. The results obtained using GMYC_BEAST were also generally consistent with those obtained by morphological methods, having a confidence interval of 64-68 c.f. 67 species identified by morphological methods. However, the GMYC_d8tree/MPLtree method tended to overestimate MOTUs and the jMOTU method tended to underestimate the number of species. [Conclusion] ABGD and GMYC_BEAST can reliably identify species within Notodontidae on the basis of CO I gene variation.