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首页> 外文期刊>International journal of ecohydrology and hydrobiology >Mathematical modelling as a tool for predicting the intensity of eutrophication symptoms based on zooplankton and fish density
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Mathematical modelling as a tool for predicting the intensity of eutrophication symptoms based on zooplankton and fish density

机译:数学建模作为基于浮游动物和鱼类密度预测富营养化症状强度的工具

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摘要

In temperate zones, algae biomass may be efficiently controlled by Daphnia sp., which is the most significant grazer among filter-feeding zooplankton. Daphnia population dynamics depends mostly on the trophic state of the ecosystem, which determines both fish community structure and food quality and availability. Relatively invariable water inflow to a reservoir with small amplitudes supports balanced biotic interactions. Here, we present simulations using the DALIS model that well characterised behaviour in a temperate ecosystem under stable abiotic conditions. The model results allowed us to predict the extent to which predation by fish would disturb the dynamics of Daphnia under different food conditions. Therefore, mathematical modelling may be an important tool for establishing appropriate recovery strategies in eutrophic water bodies. Although the model in this study characterised temperate zone conditions, its application to tropical lakes, where the dynamics of zooplankton and fish are substantially different, is discussed.
机译:在温带地区,藻类生物量可以被水蚤(Daphnia sp。)有效地控制,水蚤是滤食性浮游动物中最重要的放牧者。水蚤的种群动态主要取决于生态系统的营养状态,这决定了鱼类的群落结构以及食物质量和供应。相对恒定地流入小幅度水库的水支持平衡的生物相互作用。在这里,我们介绍了使用DALIS模型进行的模拟,该模型很好地描述了在稳定的非生物条件下在温带生态系统中的行为。模型结果使我们能够预测在不同食物条件下,鱼类捕食会干扰水蚤的动态的程度。因此,数学建模可能是在富营养化水体中​​建立适当恢复策略的重要工具。尽管本研究中的模型表征了温带地区的条件,但仍讨论了其在热带湖泊中的应用,在热带湖泊中浮游动物和鱼类的动态变化很大。

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