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Application of structural equation model for exploring the influence of environmental factors on phytoplankton in Bohai Bay

机译:结构方程模型在渤海湾浮游植物探索环境因素影响

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In this paper, structural equation model (SEM) is used to explore the influence of coastal environment factors on phytoplankton in Bohai Bay. The SEM is a multivariate statistical method and by using it, a researcher can construct theoretical concepts, test their measurement reliability, hypothesize and evaluate of a network of relationships between variables. In our study, the hypothesized model considered the influence of the physical environment (temperature, salinity, and PH) and nitrogen (total dissolved inorganic nitrogen, total dissolved inorganic phosphate, and silicate) on total phytoplankton biomass. With the conclusions of this model, we find that nutrients have greater effect on phytoplankton biomass and there is a strong correlation between nutrients and physical environment. Additionally, salinity has greatest positive effect on phytoplankton, whereas total dissolved inorganic nitrogen has the greatest negative effect. Generally, the SEM gave plausible results and enabled the identification of the role of the abiotic factors on the phytoplankton.
机译:本文采用了结构方程模型(SEM)来探讨沿海环境因素对渤海湾浮游植物的影响。 SEM是一种多变量统计方法,通过使用它,研究人员可以构建理论概念,测试它们的测量可靠性,假设和评估变量之间的关系网络。在我们的研究中,假设模型认为物理环境(温度,盐度和pH)和氮气(总溶解的无机氮,总溶解的无机磷酸盐和硅酸盐)对总浮游植物的生物质的影响。借此模型的结论,我们发现营养素对植物生物量具有更大的影响,营养素与物理环境之间存在强烈的相关性。此外,盐度对浮游植物具有最大的积极作用,而总溶解的无机氮具有最大的负面影响。一般来说,SEM给出了合理的结果,并使得能够鉴定非生物因子在浮游植物上的作用。

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