Quantifying the drivers of midwater zooplankton community structure

量化中层浮游动物群落结构的驱动因素

• 批准号: 1948162
• 负责人: Leocadio Blanco-Bercial
• 金额: $ 55.08万
• 依托单位: Bermuda Institute of Ocean Sciences (BIOS), Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1948162&HistoricalAwards=false
• 关键词: Quantifying; drivers; midwater; zooplankton; community

Processes in the midwater region below 200 m depth, also known as the twilight zone, represent a major unknown for the biology and chemistry of the ocean. Studies of animals drifting in the oceans, known as zooplankton, are scarce due to the difficulty and associated time and costs of sampling deep waters. The advent of automated image analysis and genetic tools is leading to a rapid increase in our knowledge of the diversity, abundances and size distribution of communities in shallow waters. However, our understanding of the deeper layers of the ocean is still in its infancy, and there are few studies that combine these three facets of the ecology of the zooplankton. The objective of this project is to leverage existing samples, obtained from previously NSF-funded research in the North Pacific and North Atlantic, to study how the abundances, diversity, and size distribution of zooplankton in the midwater vary with latitude and environmental factors. Automated image analyses provide information on abundance and size, and genetic analyses give unprecedented data on the diversity of the midwater community for the North Atlantic and the North Pacific, from subtropical to subarctic environments. This project provides high quality hands-on training opportunities for at least two undergraduate researchers and generates material for undergraduate and graduate courses. Two workshops train educators on the classroom use of the NSF-funded Biological and Chemical Oceanography Data Management Office (BCO-DMO) open access oceanographic data.Recent advances in image analysis and metabarcoding of zooplankton communities via new data tools are an opportunity to generate quantitative and predictive relationships between environmental drivers and zooplankton diversity, abundances and size distribution. While this information is available for plankton in epipelagic regions, the focus of this study is on midwater communities, which remain poorly characterized. Obtaining these data is the first step towards a quantitative analysis that assesses the impact of the midwater community on biogeochemical cycles. The project uses archived samples from two cruises conducted in the N. Atlantic and N. Pacific to test hypotheses about how temperature, midwater hypoxia, primary productivity and biogeographic province shape the size class structure, biodiversity and behavior (diurnal vertical migration) of zooplankton communities. These newly-generated image and metabarcoding datasets of the mesozooplankton community from 0-1000 m are cross-comparable with other ocean regions. These data describe how migratory and midwater resident zooplankton communities are structured by environmental variables and demonstrate how this influences their biogeochemical contributions (specifically active flux and midwater attenuation of flux). Data tools generated for the image analysis in combination with metabarcoding has broad application in plankton ecology and allows metanalysis of other datasets. The project is complementary to ongoing national and international projects that seek to describe the function and structure of the midwater. In contrast to existing modeling and process projects, this project covers a moderately large geographic area and thus provides a strong comparative foundation for broader community-wide assessment of the function of zooplankton in the twilight zone.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

低于200 m深度的中间区域的过程，也称为暮光区，代表了海洋生物学和化学的主要未知。 由于难度和相关的时间和成本，对海洋中漂流的动物的研究很少。自动图像分析和遗传工具的出现导致我们对浅水区社区的多样性，丰富性和规模分布的了解迅速增加。但是，我们对海洋更深层次的理解仍处于起步阶段，很少有研究结合了浮游动物生态学的这三个方面。该项目的目的是利用从北太平洋和北大西洋的先前由NSF资助的研究获得的现有样本，以研究中水中浮游动物的丰度，多样性和大小分布如何随纬度和环境因素而变化。 自动化图像分析提供了有关丰度和大小的信息，遗传分析提供了有关北大西洋和北太平洋绝端社区多样性的前所未有的数据，从亚热带到亚北极环境。该项目为至少两名本科研究人员提供了高质量的动手培训机会，并为本科和研究生课程生成了材料。两次讲习班培训教育工作者，介绍了NSF资助的生物学和化学海洋学数据管理办公室（BCO-DMO）开放式海洋学数据。图像分析和通过新数据工具对浮游动物社区的质量进行进步，是在环境驾驶员和浮游动物之间产生定量和预测性关系的机会。 尽管这些信息可用于浮游生物区域的浮游生物，但这项研究的重点是中间社区，这些社区的特征仍然很差。获得这些数据是迈向定量分析的第一步，该分析评估了中间社区对生物地球化学周期的影响。该项目使用来自N. Atlantic和Pacific N. Pacific进行的两次巡游的存档样品，以测试有关温度，中间缺氧，主要生产力和生物地理省如何塑造浮游动物社区的尺寸阶级结构，生物多样性和行为（Diurnal垂直迁移）的假设。这些新生成的图像和从0-1000 m的Mesozooplankton社区的元编码数据集与其他海洋区域跨稳定。这些数据描述了迁徙和中间居民浮游动物社区如何通过环境变量构建，并证明了这如何影响其生物地球化学贡献（特别是活跃的助体和助体衰减量）。与Metabarcoding结合使用的图像分析生成的数据工具在浮游生物生态学中广泛应用，并允许对其他数据集进行元分析。 该项目与正在进行的国家和国际项目相辅相成，这些项目旨在描述中间水的功能和结构。与现有的建模和处理项目相反，该项目涵盖了一个中等大的地理区域，因此为在暮光区中浮游动物的功能进行更广泛的社区范围评估提供了良好的比较基础。该奖项反映了NSF的法定任务，并通过使用该基金会的知识分子优点和广泛的影响来评估NSF的法定任务，并被视为值得的支持。

项目成果

The photic‐aphotic divide is a strong ecological and evolutionary force determining the distribution of ciliates (Alveolata, Ciliophora) in the ocean

• DOI: 10.1111/jeu.12976
• 发表时间: 2023-04
• 期刊: Journal of Eukaryotic Microbiology
• 影响因子: 2.2
• 作者: L. Santoferrara;Aleena Qureshi;Amina Sher;L. Blanco-Bercial

Revealing zooplankton diversity in the midnight zone

• DOI: 10.3389/fmars.2023.1252535
• 发表时间: 2023-12-07
• 期刊: FRONTIERS IN MARINE SCIENCE
• 影响因子: 3.7
• 作者: Gonzalez，Carolina E.;Blanco-Bercial，Leocadio;Ulloa，Osvaldo
• 通讯作者: Ulloa，Osvaldo

Assessment of short-term spatio-temporal variability in the structure of mesozooplankton communities integrating microscopy and multigene high-throughput sequencing

结合显微镜和多基因高通量测序评估中型浮游生物群落结构的短期时空变异

• DOI: 10.1016/j.ecss.2022.108038
• 发表时间: 2022
• 期刊: Coastal and Shelf Science
• 作者: Yebra, Lidia;García-Gómez, Candela;Valcárcel-Pérez, Nerea;Hernández de Rojas, Alma;Blanco-Bercial, Leocadio;Castro, M. Carmen;Gómez-Jakobsen, Francisco;Mercado, Jesús M.
• 通讯作者: Mercado, Jesús M.

Use of optical imaging datasets to assess biogeochemical contributions of the mesozooplankton

使用光学成像数据集评估中型浮游动物的生物地球化学贡献

• DOI: 10.1093/plankt/fbab037
• 发表时间: 2021
• 期刊: Journal of Plankton Research
• 影响因子: 2.1
• 作者: Maas, Amy E;Gossner, Hannah;Smith, Maisie J;Blanco-Bercial, Leocadio
• 通讯作者: Blanco-Bercial, Leocadio