Sun Xiang, Zhu Guang-Wei, Da Wen-Yi, Yu Mao-Lei, Yang Wen-Bin, Zhu Meng-Yuan, Xu Hai, Guo Chao-Xuan, Yu Li
State Key Laboratory of Lake Environment and Science, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
College of Environmental Science and Engineering, Anhui Normal University, Wuhu 241003, China.
Huan Jing Ke Xue. 2018 Mar 8;39(3):1129-1140. doi: 10.13227/j.hjkx.201707267.
The proliferation of diatoms is an ecological disaster that harms the water quality of many reservoirs in China. In order to reveal the driving factors of abnormal algal blooms in reservoirs, phytoplankton community structure and the associated environmental factors from 2009 to 2016 from Shahe Reservoir in Tianmuhu were analyzed. Results showed that diatoms and there dominant genus were predominately driven by temperature, and the relationship between hydrology and nutrition was insignificant. Distinct relationships were recorded between different diatom genera and temperature over the past eight years. The optimum growth temperature of diatoms and were both 27℃, while that for and were both 19℃. Low temperature was suitable for the growth of , and its growth was compromised with increasing temperature. In a multivariable statistical analysis of the dominant diatom genus and the associated environmental factors, we found that the dominant diatom genus responded differently to the associated environmental factors. The total biomass of the diatom and the biomass of and were significantly and positively correlated with rainfall (<0.05). The biomass of was significantly and positively correlated with total phosphorus, rainfall, and water level (<0.05) and significantly and negatively correlated with water exchange rate (<0.05). The biomass of was significantly and positively correlated with total phosphorus. The annual peak biomass of diatoms can be predicted by a multiple regression model with independent variables, including rainfall intensity, dissolved total phosphorus, and the accumulated temperature in winter and spring. Our results indicated that the proliferation of diatoms responds significantly to hydrological and meteorological factors while insignificantly to nitrogen and phosphorus loading. External load reduction is needed to maintain a good water quality in the reservoir. In addition, extreme weather conditions should be given attention to provide an early warning for diatom proliferation.
硅藻的大量繁殖是一场生态灾难,危害了中国许多水库的水质。为揭示水库藻类异常增殖的驱动因素,分析了2009年至2016年天目湖沙河水库浮游植物群落结构及相关环境因素。结果表明,硅藻及其优势属主要受温度驱动,水文与营养之间的关系不显著。过去八年中,不同硅藻属与温度之间存在明显关系。硅藻和 的最适生长温度均为27℃,而 和 的最适生长温度均为19℃。低温适合 的生长,其生长随温度升高而受到抑制。在对优势硅藻属及其相关环境因素的多变量统计分析中,我们发现优势硅藻属对相关环境因素的响应不同。硅藻的总生物量以及 和 的生物量与降雨量显著正相关(<0.05)。 的生物量与总磷、降雨量和水位显著正相关(<0.05),与水交换率显著负相关(<0.05)。 的生物量与总磷显著正相关。硅藻的年生物量峰值可以通过一个多元回归模型预测,自变量包括降雨强度、溶解总磷以及冬春季节的累积温度。我们的结果表明,硅藻的增殖对水文和气象因素响应显著,而对氮磷负荷响应不显著。需要减少外部负荷以维持水库良好水质。此外,应关注极端天气条件,为硅藻增殖提供早期预警。