作者: Chia‐Hua Lue , Paul K Abram , Jan Hrcek , Matthew L Buffington , Phillip PA Staniczenko
DOI:
关键词:
摘要: Metabarcoding is revolutionizing fundamental research in ecology by enabling large‐scale detection of species and producing data that are rich with community context. However, the benefits of metabarcoding have yet to be fully realized in fields of applied ecology, especially those such as classical biological control (CBC) research that involve hyperdiverse taxa. Here, we discuss some of the opportunities that metabarcoding provides CBC and solutions to the main methodological challenges that have limited the integration of metabarcoding in existing CBC workflows. We focus on insect parasitoids, which are popular and effective biological control agents (BCAs) of invasive species and agricultural pests. Accurately identifying native, invasive and BCA species is paramount, since misidentification can undermine control efforts and lead to large negative socio‐economic impacts. Unfortunately, most existing …