Kim Yejin, Jang Hyo-Keun, Youn Seok-Hyun, Joo Huitae, Kim Kwanwoo, Park Sanghoon, Kim Jaesoon, Kim Sungjun, Kim Myeongseop, Kim Myung-Joon, Lee Yoon-Ji, Choi Ha-Young, Lee Sang-Heon
Department of Oceanography and Marine Research Institute, Pusan National University, Busan, 46241, South Korea; Ecological Risk Research Department, Korea Institute of Ocean Science & Technology, Geoje, 53201, South Korea.
Oceanic Climate and Ecology Research Division, National Institute of Fisheries Science, Busan, 46083, South Korea.
Mar Environ Res. 2025 Oct;211:107455. doi: 10.1016/j.marenvres.2025.107455. Epub 2025 Aug 20.
This research examines phytoplankton dynamics in the Yellow Sea (YS), a highly productive and ecologically significant region currently experiencing rapid environmental changes. Using high-performance liquid chromatography (HPLC), we analyzed phytoplankton pigment composition from samples collected between 2018 and 2020 to assess community responses to environmental factors. Cluster analysis, Redundancy Analysis (RDA), Variance Partitioning Analysis (VPA), and Generalized Additive Models (GAMs) were applied to identify dominant phytoplankton communities and their environmental association. Our analysis identified four distinct phytoplankton communities. Cluster 1 was dominated by diatoms under low temperature and high nutrient condition. Cluster 2 also featured a significant presence of diatoms but included a higher contribution of cryptophytes. Cluster 3 exhibited a mixed community with no single dominant group. Cluster 4 was characterized by high temperatures and low nutrient concentrations, with cyanobacteria and prymnesiophytes being dominant groups. RDA and VPA identified temperature and nutrients as key drivers of community structure in the YS. GAMs indicated that increasing temperatures favor cyanobacteria and prymnesiophytes, while phosphorus limitation reduces diatom dominance. These results suggest that global warming and anthropogenic nutrient inputs could substantially alter the YS phytoplankton community, reducing the prevalence of diatoms and increasing non-diatom groups such as cyanobacteria and prymnesiophytes. Such shifts could have profound implications for the marie food web, productivity, and biogeochemical cycles in the YS.
本研究考察了黄海的浮游植物动态，黄海是一个目前正经历快速环境变化的高产且具有重要生态意义的区域。我们使用高效液相色谱法（HPLC），分析了2018年至2020年期间采集样本中的浮游植物色素组成，以评估群落对环境因素的响应。应用聚类分析、冗余分析（RDA）、方差分解分析（VPA）和广义相加模型（GAMs）来识别优势浮游植物群落及其与环境的关联。我们的分析确定了四个不同的浮游植物群落。聚类1在低温和高营养条件下以硅藻为主。聚类2也以硅藻的显著存在为特征，但隐藻的贡献更高。聚类3呈现出一个混合群落，没有单一的优势群体。聚类4的特征是高温和低营养浓度，蓝细菌和颗石藻为优势群体。RDA和VPA确定温度和营养是黄海群落结构的关键驱动因素。GAMs表明，温度升高有利于蓝细菌和颗石藻，而磷限制会降低硅藻的优势地位。这些结果表明，全球变暖和人为营养输入可能会大幅改变黄海的浮游植物群落，减少硅藻的占比，增加蓝细菌和颗石藻等非硅藻群体。这种转变可能会对黄海的海洋食物网、生产力和生物地球化学循环产生深远影响。
