Dynamics of Harmful Algal Blooms: Rapid Response Sampling of Key Processes

项目总结(见说明)： 利用实时遥测技术检测有害藻华(HAB)的系泊技术的出现，促进了对关键水华过程的机会性和适应性采样，而这些过程在传统的海洋调查模式中尚未被我们所回避。我们建议使用来自环境样本处理器(ESP)系泊的数据流来动员在缅因湾两种赤潮的关键阶段进行快速反应调查：亚历山大藻和伪菱形藻。对于A.fundyense来说，采样将集中在水华衰退上，因为终止这些水华的机制在田间还没有文献记载。这个 拟菱形藻的动态研究在这一地区仍基本没有特征，因此，快速反应抽样将作为启动、发展和衰落的不同阶段的目标。 将对从缅因湾收集的假新城疫杆菌分离株进行实验室实验，以测量它们的生命率和对环境条件的依赖程度。从实地和实验室研究中获得的知识将被纳入水华动力学模型，以提高预测能力。

PROJECT SUMMARY (See instructions): The advent of moored technologies for harmful algal bloom (HAB) detection with real-time telemetry facilitates opportunistic and adaptive sampling of key bloom processes that have as yet evaded us in traditional seagoing survey mode. We propose to use data streams from Environmental Sample Processor (ESP) moorings to mobilize rapid-response surveys during key phases of two types of HABs in the Gulf of Maine: Alexandrium fundyense and Pseudo-nitzschia spp. For A. fundyense, sampling will focus on bloom decline, as the mechanisms that terminate these blooms are as yet undocumented in the field. The dynamics of Pseudo-nitzschia spp. remain largely uncharacterized in this region, and rapid response sampling will accordingly be targeted amongst the various phases of initiation, development, and decline. Laboratory experiments will be conducted with Pseudo-nitzschia isolates collected from the Gulf of Maine to measure their vital rates and dependencies on environmental conditions. Knowledge gained from both field and laboratory studies will be incorporated into models of bloom dynamics to improve predictive capabilities.