Jiang Yongcan, Wang Yi, Huang Zekai, Zheng Bin, Wen Yu, Liu Guanglong
PowerChina Huadong Engineering Corporation Ltd., Hangzhou, Zhejiang Province, China.
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
Front Microbiol. 2023 Oct 5;14:1267299. doi: 10.3389/fmicb.2023.1267299. eCollection 2023.
In order to explore the species composition, spatial distribution and relationship between the phytoplankton community and environmental factors in Lake Longhu, the phytoplankton community structures and environmental factors were investigated in July 2020. Clustering analysis (CA) and analysis of similarities (ANOSIM) were used to identify differences in phytoplankton community composition. Generalized additive model (GAM) and variance partitioning analysis (VPA) were further analyzed the contribution of spatial distribution and environmental factors in phytoplankton community composition. The critical environmental factors influencing phytoplankton community were identified using redundancy analysis (RDA). The results showed that a total of 68 species of phytoplankton were found in 7 phyla in Lake Longhu. Phytoplankton density ranged from 4.43 × 10 to 2.89 × 10 ind./L, with the average density of 2.56 × 10 ind./L; the biomass ranged from 0.58-71.28 mg/L, with the average biomass of 29.38 mg/L. , and contributed more to the total density, while and contributed more to the total biomass. The CA and ANOSIM analysis indicated that there were obvious differences in the spatial distribution of phytoplankton communities. The GAM and VPA analysis demonstrated that the phytoplankton community had obvious distance attenuation effect, and environmental factors had spatial autocorrelation phenomenon, which significantly affected the phytoplankton community construction. There were significant distance attenuation effects and spatial autocorrelation of environmental factors that together drove the composition and distribution of phytoplankton community structure. In addition, pH, water temperature, nitrate nitrogen, nitrite nitrogen and chemical oxygen demand were the main environmental factors affecting the composition of phytoplankton species in Lake Longhu.
为探究龙湖浮游植物群落的种类组成、空间分布及其与环境因子的关系，于2020年7月对龙湖浮游植物群落结构和环境因子进行了调查。采用聚类分析（CA）和相似性分析（ANOSIM）来识别浮游植物群落组成的差异。运用广义相加模型（GAM）和变异分解分析（VPA）进一步分析空间分布和环境因子对浮游植物群落组成的贡献。利用冗余分析（RDA）确定影响浮游植物群落的关键环境因子。结果表明，龙湖共发现浮游植物68种，隶属于7个门。浮游植物密度范围为4.43×10至2.89×10个/升，平均密度为2.56×10个/升；生物量范围为0.58 - 71.28毫克/升，平均生物量为29.38毫克/升。 、 对总密度贡献较大，而 和 对总生物量贡献较大。CA和ANOSIM分析表明，浮游植物群落的空间分布存在明显差异。GAM和VPA分析表明，浮游植物群落具有明显的距离衰减效应，环境因子存在空间自相关现象，对浮游植物群落构建有显著影响。环境因子的显著距离衰减效应和空间自相关共同驱动了浮游植物群落结构的组成和分布。此外，pH、水温、硝酸盐氮、亚硝酸盐氮和化学需氧量是影响龙湖浮游植物种类组成的主要环境因子。
