习水河典型水生生物群落对环境因子的响应机制研究

Responses of typical aquatic biological communities to environmental stressors in the Xishui River

  • 摘要: 以习水河为对象,从水生生物的物种组成、密度和多样性入手,结合冗余分析探究水生生物-环境的相关性.结果表明,习水河各点位浮游植物、浮游动物和大型底栖动物的总密度变化范围分别为(1.17~3.85)×106 cell·L−1、6.05~113.82 ind·L−1和966~2388 ind·L−1.调查点位中浮游生物多样性水平较低,且呈现空间差异性;大型底栖动物多样性处于良好水平且空间差异较小.浮游植物密度与ρ(NH4-N)和ρ(CODMn)呈显著相关(p<0.05),其多样性与ρ(Hg)和ρ(As)呈显著相关(p<0.05);浮游动物密度与pH呈极显著相关(p<0.01),与ρ(CODMn)呈显著相关(p<0.05),多样性与ρ(TP)、DO呈显著相关(p<0.05);大型底栖动物多样性与ρ(BOD5)、ρ(Hg)和ρ(NH4-N)呈显著相关(p<0.05).综合分析,本文提出针对农业源输入的营养盐、工业源耗氧污染物与pH的控制措施,以提升习水河水生态健康.

     

    Abstract: For lack of understanding of aquatic bio-environment interactions in the Xishui River, a major tributary of the Chishui River, was studied in this work. Responses of typical aquatic biological communities to environmental factors under combined industrial and agricultural pollution were characterized, to clarify differentiated driving mechanisms on the small-watershed scale, and to propose ecological restoration recommendations. Specifically, species composition, density, and diversity of aquatic organisms were investigated.Redundancy analysis was used to examine their correlations with environmental parameters. The total densities of phytoplankton, zooplankton, and macrozoobenthos at sampling sites were found to range from (1.17-3.85)×106 cell·L−1, 6.05-113.82 ind·L−1 and 966-2 388 ind·L−1, respectively. Biodiversity of plankton was found to be relatively low with spatial variations, while macrozoobenthos diversity remained at a good level with minor spatial differences. Phytoplankton density exhibited significant correlation with ρ(NH4-N) and ρ(CODMn) (p<0.05), while its diversity was found associated significantly with ρ(Hg) and ρ(As) (p<0.05). Zooplankton density demonstrated highly significant correlation with pH (p<0.01) and significant correlation with ρ(CODMn) (p<0.05), its diversity showed significant relationships with ρ(TP) and DO (p<0.05). Macrozoobenthos diversity was found significantly correlated with ρ(BOD5), ρ(Hg), and ρ(NH4-N) (p<0.05). Comprehensive analysis suggest control measures targeting nutrients from agricultural sources, oxygen-consuming pollutants from industrial sources, and pH regulation to improve the ecological health of the Xishui River.

     

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