Response of aquatic organism richness to physiochemical factors at different regions in Jinan City

被引：0
|
作者：
Liu L. [1 ,2 ]
Xu Z. [1 ,2 ]
Yin X. [3 ]
Li F. [3 ]
Wang M. [3 ]
机构：
[1] College of Water Sciences, Beijing Normal University, Beijing
[2] Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing
[3] College of Fisheries and Life Science, Dalian Ocean University, Dalian
[4] Water Resources Research Institute of Shandong Province, Jinan
来源：
Hupo Kexue/Journal of Lake Sciences | 2019年 / 31卷 / 04期
关键词：
Biological richness; Correlation analysis; Jinan City; Physiochemical factors; Redundancy analysis;
D O I：
10.18307/2019.0406
中图分类号：
学科分类号：
摘要：
Aquatic organisms and physiochemical factors were important components in the aquatic ecosystem. It will be benefited for understanding the health condition of aquatic ecosystem and planning restoration project by investigating the relationships between aquatic organisms and physiochemical factors. In this study, 36 sampling stations were set to investigated fish, macroinvertebrate, zooplankton and phytoplankton assemblages during May, August and October in 2014 in Jinan City, whilst, 26 physiochemical variables were tested as well. Methods of Spearman analysis, violin-plots and redundancy analysis were used to select the main physiochemical factors, exhibit the distribution of biological richness and main factors at each regions, and analyze the relationship between biological richness and main factors at each region. The results showed that six physiochemical factors including Flow, dissolved oxygen (DO), qualitative habitat evaluation index (QHEI), COD, electrical conductivity (Cond) and total nitrogen (TN) were selected as the main environmental factors based on the Spearman analysis. The distribution of Flow, DO, QHEI and biological richness were higher in Yellow River regions than those in other regions, and COD, TN, Cond and biological richness were the lowest in the Xiaoqing River region. Based on the Spearman analysis, Cond had a significant correlation with fish richness in Yellow River region, and TN were significant correlated with macroinvertebrate richness in urban region. The redundancy analysis showed that TN had a significant impact on the biological richness in Tuhaimajia River region, and COD, DO and QHEI significantly affected the biological richness in Xiaoqing River region. This study could be used as reference for the management or government to design a restoration project of aquatic ecosystem in Jinan City, and provided a new way for other cities to develop the aquatic ecosystem as well. © 2019 by Journal of Lake Sciences.
引用
收藏
页码：998 / 1011
页数：13
相关论文
共 52 条
  • [1] Yin K., Wang Y.Y., Research on assessment system of national river basin water eco-environmental quality, Environmental Monitoring in China, 1, pp. 1-8, (2018)
  • [2] Adam M.S., Hifney A.F., Fawzy M.A., Et al., Seasonal biodiversity and ecological studies on the epiphytic microalgae communities in polluted and unpolluted aquatic ecosystem at Assiut, Egypt, European Journal of Ecology, 3, 2, pp. 92-106, (2017)
  • [3] Zhang L., Wei C., Zhang H., Et al., Criteria for assessing the ecological risk of nonylphenol for aquatic life in Chinese surface fresh water, Chemosphere, 184, pp. 569-574, (2017)
  • [4] Park T., Lee J., Lee M., Et al., Development of water quality criteria of ammonia for protecting aquatic life in freshwater using species sensitivity distribution method, Science of the Total Environment, 634, pp. 934-940, (2018)
  • [5] Prabhakaran K., Nagarajan R., Merlin F.F., Et al., Biomonitoring of Malaysian aquatic environments: A review of status and prospects, Ecohydrology & Hydrobiology, 17, 2, pp. 134-147, (2017)
  • [6] Gao H., Qian X., Wu H., Et al., Combined effects of submerged macrophytes and aquatic animals on the restoration of a eutrophic water body-A case study of Gonghu Bay, Lake Taihu, Ecological Engineering, 102, pp. 15-23, (2017)
  • [7] Wu W., Xu Z., Kennard M.J., Et al., Do Human Disturbance Variables Influence more on Fish Community Structure and Function than Natural Variables in the Wei River Basin, China?, Ecological Indicators, 61, pp. 438-446, (2016)
  • [8] Wu W., Xu Z., Yin X., Et al., Assessment of ecosystem health based on fish assemblages in the Wei River basin, China, Environmental Monitoring and Assessment, 186, 6, pp. 3701-3716, (2014)
  • [9] Huang Q., Gao J., Cai Y., Et al., Development and application of benthic macroinvertebrate-based multimetric indices for the assessment of streams and rivers in the Taihu Basin, China, Ecological Indicators, 48, pp. 649-659, (2015)
  • [10] Li Y., Li Y., Xu Z., Et al., Assessment of the Huntai River in China using a multimetric index based on fish and macroinvertebrate assemblages, Journal of Freshwater Ecology, 31, 2, pp. 1-22, (2016)
123456