Bandara Tharindu, Brugel Sonia, Andersson Agneta, Lau Danny Chun Pong
Department of Ecology and Environmental Science, Umeå University, 90187 Umeå, Sweden.
Department of Animal Science, Faculty of Animal Science and Export Agriculture, Uva Wellassa University, Passara Road, 90000 Badulla, Sri Lanka.
Data Brief. 2022 Apr 10;42:108158. doi: 10.1016/j.dib.2022.108158. eCollection 2022 Jun.
We analyzed the taxonomic and fatty-acid (FA) compositions of phytoplankton and zooplankton, and the environmental conditions at three coastal and offshore stations of the northern Baltic Sea. Plankton samples for FA analyses were collected under the framework of sampling campaigns of the Swedish National Marine Monitoring program in September 2017. Monitoring data of phytoplankton and zooplankton biomass, and environmental variables at each station were extracted from the Swedish Meteorological and Hydrological Institute database (https://sharkweb.smhi.se/). Monthly phytoplankton biomass at each station in July-September 2017 was aggregated by class (i.e., chyrsophytes, cryptophytes, dinoflagellates, diatoms, euglenophytes, cyanobacteria, etc.). Zooplankton biomass in September 2017 was aggregated by major taxa (i.e., sp. [Calanoida], [Calanoida], Cladocera, and other copepods (i.e. excluding and )). Environmental variables monthly monitored in January-October 2017 included salinity, concentrations of dissolved organic carbon, humic substances, total nitrogen and total phosphorus. These variables were measured from 0 to 10 m depth below water surface, and the depth-integrated averages were used for data analyses. Seston and zooplankton ( sp. and Cladocera) FA compositions were analyzed using gas chromatography and mass spectroscopy (GC-MS). Our dataset could provide new insights into how taxonomic composition and biochemical quality of the planktonic food chains change with the environmental conditions in subarctic marine ecosystems.
我们分析了波罗的海北部三个沿海和近海站点浮游植物和浮游动物的分类组成和脂肪酸(FA)组成,以及环境状况。2017年9月,在瑞典国家海洋监测计划的采样活动框架下,采集了用于脂肪酸分析的浮游生物样本。每个站点浮游植物和浮游动物生物量以及环境变量的监测数据,均从瑞典气象水文研究所数据库(https://sharkweb.smhi.se/)中提取。2017年7月至9月各站点的月度浮游植物生物量按类别进行了汇总(即金藻、隐藻、甲藻、硅藻、裸藻、蓝藻等)。2017年9月的浮游动物生物量按主要分类群进行了汇总(即哲水蚤属[哲水蚤目]、[哲水蚤目]、枝角类以及其他桡足类(即不包括和))。2017年1月至10月每月监测的环境变量包括盐度、溶解有机碳、腐殖质、总氮和总磷的浓度。这些变量是在水面以下0至10米深度测量的,并将深度综合平均值用于数据分析。使用气相色谱和质谱法(GC-MS)分析了悬浮颗粒和浮游动物(哲水蚤属和枝角类)的脂肪酸组成。我们的数据集可以为亚北极海洋生态系统中浮游食物链的分类组成和生化质量如何随环境条件变化提供新的见解。