长江流域资源与环境 >> 2022, Vol. 31 >> Issue (10): 2207-2217.doi: 10.11870/cjlyzyyhj202210010

• 自然资源 • 上一篇    下一篇

淮河中游浮游植物群落结构时空格局及影响因子

杨晓曦,刘  凯,刘  燕,龚  江,周彦锋*   

  1. (农业农村部长江下游渔业资源环境科学观测实验站,中国水产科学研究院淡水渔业研究中心,江苏 无锡 214081)
  • 出版日期:2022-10-20 发布日期:2022-10-27

 Pattern and Influence Factors of Phytoplankton Community Structure in Middle of Huaihe River#br#

YANG Xiao-xi, LIU Kai, LIU Yan, GONG Jiang, ZHOU Yan-feng   

  1. (Scientific Observing and Experimental Station of Fishery Resources and Environment in the Lower Reaches of the Changjiang River, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, CAFS, Wuxi 214081, China)
  • Online:2022-10-20 Published:2022-10-27

摘要: 为了解淮河中游浮游植物群落时空格局,于2019年6月(平水期)、9月(丰水期)和2020年2月(枯水期)对淮河中游河段28个断面的浮游植物和环境因子进行调查。淮河中游共鉴定出8门63属128种,平水期、丰水期和枯水期物种数分别为94、77和68,密度分别为0.06×106~16.04×106、0.47×106~41.62×106和0.43×106~10.79×106 cell·L-1,生物量分别为0.03~3.54、0.12~14.99和0.14~25.48 mg·L-1,优势种分别以微囊藻、微囊藻和梅尼小环藻等为主。空间格局方面,闸上的浮游植物密度和生物量显著高于其他区段。浮游植物密度与总磷、温度、高锰酸盐指数等环境因子呈显著正相关。CCA分析表明温度是影响淮河中游干流浮游植物群落结构的主要环境因子。

Abstract: In order to investigate the spatiotemporal pattern of phytoplankton communities and the determining factors in the middle of the Huaihe River, phytoplankton and environmental factors in 28 sections of the mid-stream river were collected and analyzed in June 2019 (flat-water period), September (high -water period) and February 2020 (dry-water period). The results showed that phytoplankton species were detected as 8 Phylum, 128 species in the middle of the Huaihe River. The densities of phytoplankton were 0.06×106~16.04×106, 0.47×106~41.62×106 and 0.43×106~10.79×106 cell·L-1 in the three water periods. The biomass of phytoplankton was 0.03~3.54, 0.12~14.99 and 0.14~25.48 mg·L-1. Microcystis, Microcystis, Cyclotella meneghiniana were main dominant species in three water period. In spatially, density of up-gate presented significantly higher than mid-gate, biomass of up-gate presented significantly higher than under-gate. Total phosphorus, temperature and permanganate index were significantly positively correlated with phytoplankton density through Pearson correlation analysis. Temperature was the main environmental factor correlate with phytoplankton community structures through CCA analysis.

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