Collaborative Research: Automated observations of phytoplankton communities from open water moorings

合作研究：从开放水域系泊处自动观测浮游植物群落

• 批准号: 1810927
• 负责人: Heidi Sosik
• 金额: $ 6.98万
• 依托单位: Woods Hole Oceanographic Institution
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-01-15 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1810927&HistoricalAwards=false
• 关键词: Collaborative; Research; Automated; observations; phytoplankton

Phytoplankton are a diverse group of microscopic organism living near the ocean surface. They play essential role in marine food webs and global biogeochemical cycles. The Imaging FlowCytobot(IFCB) has been used for a number of years but because of the high power requirements deployment has been limited to these types of nearshore sites with power and internet connection. This EAGER proposal will test deploy the Imaging FlowCytobot on an open ocean mooring.The ability to determine the composition and temporal dynamics of phytoplankton communities is important but traditional methods for collecting samples is time consuming. The Imaging FlowCytobot (IFCB) was developed at WHOI as a submersible flow cytometer that can resolve particles in the 10-150 micrometer size range, including critical phytoplankton groups such as diatoms, dinoflagellates, and coccolithophores, and can capture up to 30,000 high resolution images per hour. To date IFCB?s have been deployed at coastal fixed structures (piers, tower) with power, internet, and regular maintenance. This EAGER proposal will expand the operational capabilities of IFCB by testing it on an open ocean mooring. If successful, a new generation of autonomous plankton samplers could be deployed in geographically diverse locations throughout the global ocean in ecologically and biogeochemically significant locations far from the coastlines. This project will fund a graduate student from SIO who will be trained to operate and maintain the IFCB, as well as analyze data using machine learning tools and image analysis software.

浮游植物是生活在海洋表面附近的一组多样化的微生物。它们在海洋食物网和全球生物地球化学循环中发挥着重要作用。成像 FlowCytobot (IFCB) 已使用多年，但由于功率要求高，部署仅限于这些类型的具有电源和互联网连接的近岸站点。该 EAGER 提案将测试在公海系泊处部署 Imaging FlowCytobot。确定浮游植物群落的组成和时间动态的能力很重要，但传统的样本收集方法非常耗时。 Imaging FlowCytobot (IFCB) 是 WHOI 开发的一款潜水式流式细胞仪，可以解析 10-150 微米尺寸范围内的颗粒，包括硅藻、甲藻和颗石藻等关键浮游植物群，并且可以捕获多达 30,000 张高分辨率图像每小时。迄今为止，IFCB 已部署在沿海固定结构（码头、塔楼）上，并提供电力、互联网和定期维护。这项 EAGER 提案将通过在公海系泊处进行测试来扩展 IFCB 的运营能力。如果成功，新一代自主浮游生物采样器可以部署在全球海洋的不同地理位置，远离海岸线的具有生态和生物地球化学意义的重要地点。该项目将为 SIO 的一名研究生提供资助，他将接受培训以操作和维护 IFCB，以及使用机器学习工具和图像分析软件分析数据。