Harmful algal blooms (HABs) are a worldwide problem and have increased in frequency and intensity in Chile. Evidence supports the notion that interactions between certain HAB species and their pairing algal species could have either a positive or negative effect on their growth. The present study analyzed phytoplankton data using Empirical Dynamic Modelling to identify causal networks between two Pseudo-nitzschia species groups (P. delicatissima group and P. seriata group) and other phytoplankton species as well as the effect of temperature and salinity. Our results showed that each studied Pseudo-nitzschia species had unique paring algal species. Salinity showed a marginally significant influence on Pseudo-nitzchia seriata group. in Melinka, while temperature was not linked to any of the species. The results in this study could be considered as a novel and preliminary approach to use species interactions in predicting harmful algal blooms which could be developed by utilizing empirical dynamic modelling.

中文翻译：

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通过实证动态模型揭示浮游植物和 Pseudo-nitzschia 物种之间的因果相互作用


有害藻华 （HAB） 是一个世界性问题，在智利的频率和强度都有所增加。证据支持这样一种观点，即某些 HAB 物种与其配对藻类物种之间的相互作用可能对它们的生长产生积极或消极的影响。本研究使用实证动态模型分析浮游植物数据，以确定两个 Pseudo-nitzschia 物种组（P. delicatissima 组和 P. seriata 组）与其他浮游植物物种之间的因果网络以及温度和盐度的影响。我们的结果表明，每个研究的 Pseudo-nitzschia 物种都有独特的 paring 藻类物种。盐度对 Melinka 的 Pseudo-nitzchia seriata 组的影响略有显著，而温度与任何物种都没有关系。这项研究的结果可以被认为是一种新颖的初步方法，可以利用物种相互作用来预测有害藻华，这可以通过利用经验动态模型来开发。