Chen Shuo, Han Haibin, Yu Jinchen, Sun Tao, Zhou Jin
College of Fisheries and Life Science, Shanghai Ocean University, Shanghai, 201306, China; East China Sea Fishery Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200090, China.
Ocean College, Zhejiang University, Zhejiang, 316021, China.
Mar Pollut Bull. 2025 Jun;215:117846. doi: 10.1016/j.marpolbul.2025.117846. Epub 2025 Mar 30.
Haizhou Bay hosts extensive Porphyra cultivation zones, constituting a significant component of the regional aquaculture industry. To investigate the spatiotemporal variations of phytoplankton, particularly diatoms, and their response to Porphyra cultivation activities, monthly surveys of the phytoplankton community structure and environmental variables were conducted in Haizhou Bay throughout 2023. The findings revealed pronounced seasonal succession and variability in phytoplankton species richness and abundance within the Haizhou Bay, with Porphyra cultivation exerting a discernible impact on diatom aggregation. Through the application of Gradient Boosting Trees (GBT) model and Generalized Additive Model (GAM) analyses, both methodologies underscored temperature (T), dissolved oxygen (DO), chemical oxygen demand (COD), and nutrient concentrations (SiO, NH, NO) as key environmental variables influencing diatom abundance in Haizhou Bay. It is advisable to prioritize the GBT model in subsequent research endeavors involving analogous datasets to achieve more dependable and precise outcomes. This investigation offers a seminal perspective on the ephemeral variations in phytoplankton community structure within Haizhou Bay, thereby establishing a vital groundwork for prospective long-term monitoring, predictive analyses of diatom bloom phenomena.
海州湾拥有广阔的紫菜养殖区，是区域水产养殖业的重要组成部分。为了调查浮游植物，特别是硅藻的时空变化及其对紫菜养殖活动的响应，2023年全年对海州湾浮游植物群落结构和环境变量进行了月度调查。研究结果显示，海州湾浮游植物物种丰富度和丰度呈现出明显的季节演替和变化，紫菜养殖对硅藻聚集有明显影响。通过应用梯度提升树（GBT）模型和广义相加模型（GAM）分析，两种方法都强调温度（T）、溶解氧（DO）、化学需氧量（COD）和营养盐浓度（SiO、NH、NO）是影响海州湾硅藻丰度的关键环境变量。在后续涉及类似数据集的研究工作中，建议优先使用GBT模型，以获得更可靠和精确的结果。本研究为海州湾浮游植物群落结构的短期变化提供了开创性的视角，从而为未来的长期监测、硅藻水华现象的预测分析奠定了重要基础。
