A rapidly expanding range of Pectinatella magnifica has been reported globally. Although many studies have been conducted to manage this invasive species, surveying methods have mainly been limited to visual observation of bryozoan colonies. For efficient monitoring and early detection of bryozoan species, we compared three different monitoring methods: visually detecting bryozoan colonies (visual observation of colonies, VOC), floating statoblasts (statoblasts in filtered water, SFW), and attached statoblasts (statoblasts attached to artificial substrate, SAS). Using these sampling methods, we compared the occurrences of P. magnifica in the littoral zones of lotic ecosystems from 117 sites in South Korea from 2015 to 2019. Occurrence frequency of P. magnifica was higher using both SFW (37.3%) and SAS (72.5%) than the traditional VOC (28.0%) method. The agreement of occurrence detection of P. magnifica between VOC, SFW and SAS was more consistent in tributaries than in main channels. Density estimations using colony (VOC) and statoblast detection methods (SFW, SAS) also showed a higher positive correlation in tributaries. To identify early P. magnifica invasion in an unidentified area, collecting statoblasts is a more efficient alternative to determine the occurrence of bryozoan species in field conditions.

全球范围内已报道了大果盘菌迅速扩大的范围。尽管已经进行了许多研究来管理这种入侵物种，但调查方法主要限于肉眼可见的苔藓虫菌落。为了有效监测苔藓动物的种类并对其进行早期检测，我们比较了三种不同的监测方法：肉眼观察苔藓动物的菌落（对菌落的观察，VOC），漂浮的成层母细胞（过滤水中的成Statosblasts，SFW）和附着的成石胚（附着于人工基质上的statoblasts） ，SAS）。使用这些采样方法，我们比较了2015年至2019年韩国117个站点的抽水生态系统沿岸带的大型疟原虫的发生情况。大型疟原虫的发生频率SFW（37.3％）和SAS（72.5％）的使用均高于传统VOC（28.0％）方法。在支流中，VOC，SFW和SAS之间的巨大假单胞菌发生检测协议比主要渠道更为一致。使用菌落（VOC）和静子母细胞检测方法（SFW，SAS）进行的密度估算在支流中也显示出较高的正相关性。为了在未知地区识别出早期的巨大假单胞菌入侵，收集田间胚细胞是确定野外条件下苔藓动物种类的更有效选择。