Collaborative Research: Diel, Seasonal, and Interannual Patterns in Zooplankton and Micronekton Species Composition in the Subtropical Atlantic

浮游生物群落包括令人难以置信的广泛多样性的生物，构成海洋食物网的基础。我们建议多个？百慕大大西洋时间浮游动物和微浮游生物的物种清单？系列研究（BATS）站，一个11？这是一个持续多年的海洋学时间序列，位于北大西洋西部的副热带环流或马尾藻海。该计划将提供高？分辨率物种数据，涵盖昼夜，季节，年际和十年的时间尺度。BATS游轮已经提供了详细的随附环境数据（例如，水柱温度、氧气、营养物和植物色素浓度）为数据集增加了附加值。物种和环境“元数据”都将使用已经发展完善并在最佳技术服务方案中使用的技术进行格式化，以便将有关数据汇编并提供给目标基础信息系统。我们提议的项目将涉及学术界（百慕大生物研究站、伍兹霍尔海洋研究所、俄罗斯科学院动物研究所）和政府（史密森学会国家自然历史博物馆）的参与。我们已经建立了一个伙伴关系，在亚热带北大西洋系统的研究和专业知识，在识别（和生态）浮游动物和微浮游动物的所有主要类群显着的集体经验。该项目将提供浮游动物和微浮游生物物种组成的高质量时间序列，使我们能够剖析浮游生物群落多样性的自然变化和真实的“变化”之间的差异。这对于生态系统模型的测试和验证以及理解长期气候变化对生态系统的影响至关重要。

Planktonic communities comprise an incredibly wide diversity of organisms that form the basis of marine food webs. We propose a multi?species inventory of zooplankton and micronekton at the Bermuda Atlantic Time?series Study (BATS) station, an 11 ?year, ongoing oceanographic time series situated in the western North Atlantic subtropical gyre or Sargasso Sea. The program will provide high?resolution species data that covers diel, seasonal, interannual, and decadal time scales. Detailed accompanying environmental data already available from BATS cruises (e.g., water column temperature, oxygen, nutrients, and plant pigment concentration) add additional value to the data set. Both species and environmental "metadata" will be formatted using techniques already well developed and in use at BATS for compilation and provision of data of interest into OBIS. Our proposed project will involve participation from both academia (Bermuda Biological Station for Research, Woods Hole Oceanographic Institution, Russian Academy of Sciences' Zoological Institute) and government (the Smithsonian Institution's National Museum of Natural History). We have developed a partnership with significant collective experience in the study of the subtropical North Atlantic system and expertise in the identification (and ecology of) all major taxa of zooplankton and micronekton. This project will provide a high quality time series of zooplankton and micronekton species composition enabling us to dissect the difference between natural variability and real 'change' in the diversity of plankton communities. This will be critical for testing and validation of ecosystem models, and for understanding the effects of long term climate change on ecosystems.