A competitive growth model for the simulation of cyanobacterial blooms under eutrophic conditions
A competitive growth model for the simulation of cyanobacterial blooms under eutrophic conditions
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模拟富营养条件下蓝藻水华的竞争生长模型
DOI：
10.1089/ees.2020.0056
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发表时间：
2021
影响因子：
1.8
通讯作者：
Motoi Machida
中科院分区：
文献类型：
--
作者：
Masato Chujo;Jingnan Li;Tania Datta;Yoshimasa Amano;Motoi Machida
本研究提出了一种新的微囊藻之间的竞争生长模型。（蓝藻）和小环藻meneghiniana（硅藻）作为氮和磷浓度的函数，和稀释率。生长模型的开发相结合的Droop和Lotka-Volterra模型，使其适用于高度富营养化的条件。在此基础上，对单菌培养实验中蓝藻的生长模式进行了模拟，并对影响蓝藻水华抑制的因素进行了讨论。从单菌培养实验模拟的结果表明，在本研究中开发的模型提供了一个更准确的预测的生长模式，与我们以前的模型相比。具体而言，在高营养条件下的细胞密度的高估由先前的模型进行了校正。模拟结果还表明，初始氮、磷浓度是决定蓝藻生长的关键因素。研究还发现，蓝藻生长的关键营养物质（氮或磷）在初始氮磷质量比为11左右时转换。当比值大于11时，观察到磷对蓝藻生长是关键的，而当比值小于11时，氮更关键。这些发现提供了预测哪种营养物质对蓝藻生长更重要的能力，并且针对水体中的营养物质管理或减少可能对抑制蓝藻水华有希望。
This study presents a novel competitive growth model betweenMicrocystissp. (cyanobacteria) andCyclotella meneghiniana(bacillariophyta) as a function of nitrogen and phosphorus concentrations, and dilution rate. The growth model was developed by combining the Droop and the Lotka–Volterra models to make it applicable to highly eutrophic conditions. Following the model development, cyanobacterial growth patterns in a monoxenic culture experiment were simulated, and the factors influencing the suppression of cyanobacterial blooms were discussed. Results from the monoxenic culture experiment simulation showed that a more accurate prediction of growth pattern was provided by the model developed in this study, when compared with our previous model. Specifically, the overestimation of cell densities under high nutrient conditions by the previous model was corrected. The simulation results also revealed that the initial nitrogen and phosphorus concentrations were decisive factors in determining which nutrient was critical to the cyanobacterial growth. It was also discovered that the crucial nutrient (nitrogen or phosphorus) for cyanobacterial growth switched at around an initial nitrogen and phosphorus mass ratio of 11. When the ratio was above 11, phosphorus was observed to be critical for cyanobacterial growth, while nitrogen was more critical when the ratio was below 11. These findings provide an ability to predict which nutrient is more important for cyanobacterial growth, and targeting its management or reduction in a water body can be promising toward the suppression of cyanobacterial blooms.