Program in Atmospheric and Oceanic Sciences, Princeton University, 300 Forrestal Rd, Princeton, NJ, USA.
NASA Global Modeling and Assimilation Office, Universities Space Research Association, Greenbelt, MD, 20771, USA.
Nat Commun. 2020 Oct 23;11(1):5364. doi: 10.1038/s41467-020-19157-2.
Over the last ten years, satellite and geographically constrained in situ observations largely focused on the northern hemisphere have suggested that annual phytoplankton biomass cycles cannot be fully understood from environmental properties controlling phytoplankton division rates (e.g., nutrients and light), as they omit the role of ecological and environmental loss processes (e.g., grazing, viruses, sinking). Here, we use multi-year observations from a very large array of robotic drifting floats in the Southern Ocean to determine key factors governing phytoplankton biomass dynamics over the annual cycle. Our analysis reveals seasonal phytoplankton accumulation ('blooming') events occurring during periods of declining modeled division rates, an observation that highlights the importance of loss processes in dictating the evolution of the seasonal cycle in biomass. In the open Southern Ocean, the spring bloom magnitude is found to be greatest in areas with high dissolved iron concentrations, consistent with iron being a well-established primary limiting nutrient in this region. Under ice observations show that biomass starts increasing in early winter, well before sea ice begins to retreat. The average theoretical sensitivity of the Southern Ocean to potential changes in seasonal nutrient and light availability suggests that a 10% change in phytoplankton division rate may be associated with a 50% reduction in mean bloom magnitude and annual primary productivity, assuming simple changes in the seasonal magnitude of phytoplankton division rates. Overall, our results highlight the importance of quantifying and accounting for both division and loss processes when modeling future changes in phytoplankton biomass cycles.
在过去的十年中,主要集中在北半球的卫星和地理位置受限的现场观测表明,不能仅通过控制浮游植物分裂率的环境特性(例如营养物质和光照)来充分理解年度浮游植物生物量循环,因为它们忽略了生态和环境损失过程(例如摄食、病毒、下沉)的作用。在这里,我们使用南大洋大量机器人漂流浮标多年的观测数据,确定了控制浮游植物生物量动态的年度周期的关键因素。我们的分析揭示了在模型分裂率下降期间发生的季节性浮游植物积累(“开花”)事件,这一观察结果强调了损失过程在决定生物量季节性周期演变中的重要性。在开阔的南大洋中,发现开花强度最大的地区是溶解铁浓度较高的地区,这与铁是该地区公认的主要限制营养物质一致。冰下观测表明,生物量在初冬开始增加,远早于海冰开始消退。南大洋对季节性养分和光照可用性潜在变化的平均理论敏感性表明,浮游植物分裂率的 10%变化可能与平均开花强度的 50%减少和年度初级生产力相关,假设浮游植物分裂率季节性强度的简单变化。总的来说,我们的研究结果强调了在建模浮游植物生物量循环未来变化时,量化和考虑分裂和损失过程的重要性。