Phytoplankton community structure and biodiversity in the water source area along the middle route of South-to-North Water Transfer Project
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Abstract:
Phytoplankton can respond quickly to environmental changes caused by water quality parameters, climate and hydrodynamic conditions, and is often used to monitor water quality pollution. Its species composition, the succession of dominant species, and biodiversity can reflect the water ecological environment in the reservoir area. Since the middle route of the South-to-North Water Transfer Project was officially put into operation in 2014, due to the increase of the reservoir capacity area after the dam was raised, many slow flow areas were generated along the bank lines, which caused easily growing algae. Long-term water transfer may change the phytoplankton community structure of Danjiangkou Reservoir, affect the ecological environment around the water source area and cause water quality problems. Therefore, it is particularly important to understand the spatial and temporal distribution characteristics of the phytoplankton community structure in the Danjiangkou Reservoir and evaluate the potential risk of eutrophication. A portable water quality detector (HACH SL1000) was used to measure pH, temperature, conductivity (Cond), ammonia nitrogen (NH4 +-N),nitrite nitrogen (NO2--N), and nitrate nitrogen (NO3--N). Total phosphorus (TP) was measured by ammonium molybdate spectrophotometry GB 11893-1989, total nitrogen (TN) was measured by alkaline potassium persulfate ultraviolet spectrophotometry GB 11892-1989, and transparency (SD) was measured by Plug plate. A 25# plankton net (64 μm) was used to do "∞" zigzagging for 3-5 minutes at a depth of 0.5 m to collect qualitative samples of phytoplankton. A plexiglass water collector was used to collect quantitative samples of phytoplankton at a depth of 0.5 m. The number of phytoplankton was calculated by the eyepiece field method, the biological volume was calculated by morphological characteristics and measured by a microscope. The biomass was calculated by the volume conversion method. Dominance Y, Margalef richness index, Pielou evenness index, and Shannon-Wiener diversity index were selected to calculate phytoplankton community indicators. Typical correspondence analysis (CCA) between phytoplankton and environmental factors was performed using Canoco 4.5 software.
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