Schneider Lisa K, Gypens Nathalie, Troost Tineke A, Stolte Willem
Deltares, Boussinesqweg 1, 2629 HV Delft, South-Holland, The Netherlands.
Université Libre de Bruxelles, Laboratoire d'Ecologie des Systèmes Aquatiques, CP221, Boulevard du Triomphe, B-1050, Belgium.
Ecol Modell. 2021 Nov 1;459:109690. doi: 10.1016/j.ecolmodel.2021.109690.
The ecological importance of mixoplankton within marine protist communities is slowly being recognized. However, most aquatic ecosystem models do not include formulations to model a complete protist community consisting of phytoplankton, protozooplankton and mixoplankton. We introduce PROTIST, a new module for the aquatic ecosystem modelling software Delft3D-WAQ that can model a protist community consisting of two types of phytoplankton (diatoms and green algae), two types of mixoplankton (constitutive mixoplankton and non-constitutive mixoplankton) and protozooplankton. We employed PROTIST to further explore the hypothesis that the biogeochemical gradient of inorganic nutrient and suspended sediment concentrations drives the observed occurrence of constitutive mixoplankton in the Dutch Southern North Sea. To explore this hypothesis, we used 11 1D-vertical aquatic ecosystem models that mimic the abiotic conditions of 11 routine monitoring locations in the Dutch Southern North Sea. Our models result in plausible trophic compositions across the biogeochemical gradient as compared to in-situ data. A sensitivity analysis showed that the dissolved inorganic phosphate and silica concentrations drive the occurrence of constitutive mixoplankton in the Dutch Southern North Sea.
混合浮游生物在海洋原生生物群落中的生态重要性正逐渐得到认可。然而，大多数水生生态系统模型并未纳入对由浮游植物、原生浮游动物和混合浮游生物组成的完整原生生物群落进行建模的公式。我们引入了PROTIST，这是水生生态系统建模软件Delft3D-WAQ的一个新模块，它可以对由两种浮游植物（硅藻和绿藻）、两种混合浮游生物（组成型混合浮游生物和非组成型混合浮游生物）以及原生浮游动物组成的原生生物群落进行建模。我们使用PROTIST进一步探究以下假设：无机养分和悬浮沉积物浓度的生物地球化学梯度驱动了荷兰南部北海中观察到的组成型混合浮游生物的出现。为了探究这一假设，我们使用了11个一维垂直水生生态系统模型，这些模型模拟了荷兰南部北海11个常规监测地点的非生物条件。与现场数据相比，我们的模型在整个生物地球化学梯度上得出了合理的营养组成。敏感性分析表明，溶解无机磷酸盐和二氧化硅浓度驱动了荷兰南部北海中组成型混合浮游生物的出现。
