Liu Jingdi, Zuo Leyi, Zhang Guicheng, Wang Xingzhou, Xu Wenzhe, Sun Jun
Research Centre for Indian Ocean Ecosystem, Tianjin University of science and Technology, Tianjin, 300457, China.
Research Centre for Indian Ocean Ecosystem, Tianjin University of science and Technology, Tianjin, 300457, China.
Mar Environ Res. 2025 Jul 18;211:107377. doi: 10.1016/j.marenvres.2025.107377.
To study the spatial distribution and composition of phytoplankton taxa in the eastern Indian Ocean, a total of 52 sampling stations were set up for sampling during 10 April to 13 May 2016. The HPLC-CHEMTAX technique was employed to analyze photosynthetic pigments and phytoplankton community structure. Based on vertical distribution patterns observed, phytoplankton was divided into three categories. Group 1 (prochlorophytes, prasinophytes type 1, prasinophytes type 3, and pelagophytes) exhibited a positive correlation with salinity and a negative correlation with temperature. Notably, the aggregated boosted tree (ABT) analysis revealed a significant influence of the DSi/DIP ratio on this category. Group 2 (cyanobacteria dinoflagellates and haptophytes type 6) demonstrated negatively correlated with salinity but positively with temperature. Temperature and depth emerging as significant influence factors. Notably, group 3 (diatoms and cryptophytes) exhibited a unique vertical distribution pattern that differs from other groups. Phytoplankton biomass distribution varied across water masses: Cyanobacteria-dominated phytoplankton exhibited relatively higher biomass proportions in Low Salinity Water (LSW). Diatoms abundance in Coastal Water (CW) was enhanced by upwelling, and the biomass of prochlorophytes was found to be relatively high in Equatorial Water (EW). The South/North Equatorial Water (SEW/NEW) were more favored for the growth of prasinophytes type 1, and cyanobacteria. In conclusion, phytoplankton in the study area are generally influenced by temperature, salinity, and nutrients. Prochlorophytes were mainly influenced by salinity, and higher salinity favored their growth. Cyanobacteria were more influenced by temperature and nutrients, and grew better in warm surface seawater. This comprehensive study provides valuable insights into the complex interactions between these factors and the resulting distribution patterns of phytoplankton in the region.
为研究印度洋东部浮游植物类群的空间分布和组成，于2016年4月10日至5月13日共设置了52个采样站进行采样。采用高效液相色谱-化学分类技术分析光合色素和浮游植物群落结构。根据观察到的垂直分布模式，浮游植物分为三类。第1组（原绿球藻、1型绿藻、3型绿藻和聚球藻）与盐度呈正相关，与温度呈负相关。值得注意的是，聚合增强树（ABT）分析表明，硅/磷比对此类有显著影响。第2组（蓝细菌、甲藻和6型定鞭藻）与盐度呈负相关，但与温度呈正相关。温度和深度是显著的影响因素。值得注意的是，第3组（硅藻和隐藻）呈现出与其他组不同的独特垂直分布模式。浮游植物生物量分布在不同水体中有所不同：以蓝细菌为主的浮游植物在低盐度水（LSW）中生物量比例相对较高。上升流增强了沿海水（CW）中硅藻的丰度，发现在赤道水（EW）中原绿球藻的生物量相对较高。南/北赤道水（SEW/NEW）更有利于1型绿藻和蓝细菌的生长。总之，研究区域内的浮游植物一般受温度、盐度和营养物质的影响。原绿球藻主要受盐度影响，较高的盐度有利于其生长。蓝细菌受温度和营养物质的影响更大，在温暖的表层海水中生长更好。这项综合研究为这些因素之间的复杂相互作用以及该区域浮游植物的分布模式提供了有价值的见解。
