Developing triple (13C, 15N, 34S) stable isotope analysis as a tool in aquatic food web studies: seagrass meadows as model system (TRIAS)

开发三重（13C、15N、34S）稳定同位素分析作为水生食物网研究的工具：海草草甸作为模型系统（TRIAS）

• 批准号: 159234106
• 负责人: Professor Dr. Ulrich Sommer
• 金额: --
• 依托单位: GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2010
• 资助国家: 德国
• 起止时间: 2009-12-31 至 2014-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/159234106?language=en
• 关键词: Developing; triple; 13C; 15N; 34S

It is the goal of this study, to establish triple (13C, 15N, 34S) stable isotope analysis as a tool for the analysis of aquatic food webs. The triple isotope analysis has a particular potential for wood webs which are characterized by bentho-pelagic coupling, as it is typical for coastal and shallow seas. We will use a seagrass meadow in the vicinity of Kiel and the overlying water column as a model system. This model system is chosen because seagrass meadows- are among the most productive marine ecosystems- are important nursery grounds for fish and other fauna- are globally endangered- are complex systems in terms of the diversity of number of basal carbon sources and of bentho-pelagic coupling.During 2 growth seasons, all important components of the food web will be sampled for subsequent stable isotope analysis and analysis of fatty acids as indicators of trophic relationships.

这项研究的目的是建立三重（13c，15n，34s）稳定的同位素分析作为水生食物网的分析工具。三倍同位素分析具有特殊的木网潜力，其特征在于山恩托 - - 沿 - 沿海耦合，因为它是沿海和浅海的典型特征。我们将在基尔附近使用海草草地和上覆的水柱作为模型系统。之所以选择该模型系统，是因为海草草地是最有生产力的海洋生态系统之一，是鱼类的重要托儿所，而其他动物群体则是全球危险的系统，就基础碳源的多样性和基础碳的多样性而言是复杂的系统，并且是跨越的杂物偶尔的分析季节，所有重要的Is comperty of Ally Is effient of Ally Is expl of Sampl of Sampl of Sampl of Sampl of Sampl of Sampl of Sampl of Sampl of Sampl酸作为营养关系的指标。

项目成果

Temporal dietary shift in jellyfish revealed by stable isotope analysis

稳定同位素分析揭示水母饮食的暂时转变

• DOI: 10.1007/s00227-016-2892-0
• 发表时间: 2016
• 期刊: Marine Biology
• 影响因子: 2.4
• 作者: Jamileh Javidpour;Ashlie N Cipriano;A Mittermayr;Jan Dierking
• 通讯作者: Jan Dierking