Quantitative comparison of phytoplankton community sampled using net and water collection methods in the southern Yellow Sea

Abstract

Quantitative and precise observation of the phytoplankton is required for biogeochemical and environmental monitoring in coastal seas. However, phytoplankton data may vary greatly depending on the sampling methods. Net and water collection methods are widely adopted for obtaining marine phytoplankton in China; yet, exact differences and relationships between water- and net-collected phytoplankton communities remain poorly understood. Here, annual phytoplankton surveys in the southern Yellow Sea were conducted using these two sampling methods. Compared with water collection, net collection resulted in the loss of numerous noncolonial small-celled species, particularly cryptophytes and coccolithophores, and reduced phytoplankton depth-averaged abundance (DAA) by 1–2 orders of magnitude. However, through net collection, some scarce, large, or colonial species with low abundances were obtained, and the net-collected DAA distribution was highly consistent with the water-collected DAA distribution in each season. Moreover, DAAs of planktonic large-celled or long-chained dominant species, belonging to diatom, dinoflagellate, and cyanobacteria, were comparable in net- and water-collected samples. Regression analysis showed highly significant regression coefficients between net- and water-collected DAAs of phytoplankton, diatom, and diatom plus dinoflagellate, suggesting that net-collected data could be roughly derived from water-collected results. Non-metric multidimensional scaling and analysis of similarity indicated that phytoplankton community composition significantly differed between net- and water-collected samples. Similarity percentages confirmed that this difference was largely attributed to small-sized benthic and meroplanktonic diatoms, unidentified cryptophytes and coccolithophores, and single-celled dinoflagellates. Our results suggest that the sampling method profoundly influences phytoplankton analysis in terms of species information, abundance, dominant species, and community composition.