Beschreibung:
<jats:p>Zooplankton communities are useful bioindicators that can provide information on the changes occurring in marine ecosystems. Therefore, investigation of zooplankton communities in marine and coastal national parks is essential. However, the surveys of zooplankton communities using morphological identification require considerable time and labor. Metabarcoding is a practical alternative that can detect various taxa simultaneously. In this study, metabarcoding was newly applied along with the traditional morphological identification to establish a method for zooplankton community survey in the Marine and Coastal National Park areas of Korea. By comparing the results of these two identification methods, the strengths and limitations of metabarcoding were verified with the zooplankton communities appearing in these areas. The sensitive detection capability of metabarcoding enabled the identification of potential bioindicator taxa associated with external factors (e.g., water temperature, salinity, topography, and chlorophyll a concentration) in these national parks. We propose the use of metabarcoding for efficient surveys of mesozooplankton communities in the Marine and Coastal National Parks to establish monitoring of bioindicator taxa. It is also necessary to continuously search for taxa with high research value in these national parks using metabarcoding. Establishing an ongoing monitoring system that employs this approach can provide an effective tool for managing marine ecosystems in the Marine and Coastal National Parks.</jats:p>