Research on Antarctic Coastal Ecosystem Rates: (RACER) Mechanisms of Bloom Formation and Decline

南极沿海研究的历史数据和观测 半岛地区提供大量浮游植物的详细记录 在Gerlache海峡和西南部发展的花朵 布兰斯菲尔德海峡的一部分。 水文数据表明， 流场在霜形成区域相对静止。 拟议工作的目标是了解时间 详细介绍了导致形成和下降的机制， 这些花朵。 南极海岸生态系统研究（RACER） 利率）计划将利用跨学科的方法来解决 浮游植物对物理强迫的反应。 重点将是 湍流混合气象强迫的高时间分辨率 以及浮游植物的反应。 这将通过一个永久性的气象站来实现， 与主站相邻的岛屿和物理- 光学生物学特性浮游植物比率的详细研究 包括碳和氮同位素吸收研究， 速率由叶绿素a的放射性碳标记确定，以及 将进行光适应动力学。 光适应性 浮游植物作物的状态将从光学， 生化和光合参数。 这些信息对于理解潜在的 bloom形成的机制。 需要有这样的理解， 开发能够预测 季节进程和年际变化迫使物理 环境

Historical data and observations from studies of the coastal Antarctic Peninsula region provide detailed documentation of massive phytoplankton blooms which develop within the Gerlache Strait and the southwest portion of the Bransfield Strait. Hydrographic data indicate that the flow field is relatively quiescent in the region of bloom formation. The objectives of the proposed work are to understand the temporal detail regarding the mechanisms leading to formation and decline of these blooms. This component of the RACER (Research on Antarctic Coastal Ecosystem Rates) program will utilize an interdisciplinary approach to resolve the phytoplankton response to physical forcing. The emphasis will be on high temporal resolution of meteorological forcing of turbulent mixing within the upper water column, and the response of the phytoplankton. This will be accomplished with a permanent meteorological station on an island adjacent to the primary station and rapid profiling of physical- optical-biological properties. Detailed studies of phytoplankton rate processes including carbon and nitrogen isotope uptake studies, growth rates determined by radio-carbon labelling of chlorophyll a, and kinetics of photoadaptation will be carried out. The photoadaptive status of the phytoplankton crop will be determined from optical, biochemical, and photosynthetic parameters. This information is essential for an understanding of the underlying mechanisms of bloom formation. Such an understanding is required for development of mechanistic models which are capable of predicting seasonal progression and interannual variability forced by the physical environment.