Impacts of climate-driven changes in fish distributions on contaminants exposure and accumulation in marine food webs

气候驱动的鱼类分布变化对海洋食物网污染物暴露和积累的影响

• 批准号: 2883001
• 金额: --
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2883001
• 关键词: Impacts; climate; driven; changes; fish

Impacts of climate-driven changes in fish distributions on contaminants exposure and accumulationin marine food websMarine fish play a vital role in marine food webs, including as food to iconic top predators such asmarine mammals and seabirds. They are also exposed to a wide range of contaminants, and mayaccumulate these and transfer them to their predators. This project will investigate how the relativerisk of exposure to contaminants varies between fish species, how this risk will change as fish speciesdistributions track our changing climate and as fish communities are reorganised, and what theimplications of this are for the wider marine food web, ecosystem functions and services. In a novelcollaboration between marine macroecology and ecotoxicology, the project will involve analysis ofexisting big biological and chemical data using a range of computational techniques e.g.meta-analysis, systematic reviews of existing data, modelling, and ecoinformatics. The focus willinitially be on the North Sea, which is characterised by multiple human pressures, including chemicalcontaminants and rapid warming, but which also supplies important ecosystem services, many ofthem mediated through its fish communities. The North Sea is also among the most well-monitoredand data-rich marine ecosystems in the world, and the increasing open availability of biological,chemical, and climate data products produced by national and European initiatives make the big dataapproaches that are central to this project extremely timely.

鱼类分布中气候驱动的变化对污染物暴露和累积的海洋食品Webmarine鱼类的影响在海洋食品网中起着至关重要的作用，包括作为标志性顶级捕食者（例如Asmarine哺乳动物和海鸟）的食物。它们还暴露于广泛的污染物中，并将其转移到捕食者中。该项目将调查暴露于污染物物种之间的关系如何变化，随着鱼类物种分布的跟踪我们的气候变化和鱼类群落的重新组织，这种风险将如何变化，以及这种象征的变化是针对更广泛的海洋食品网络，生态系统功能，生态系统功能和服务。在海洋宏观生态学和生态毒理学之间的新颖调查中，该项目将涉及使用一系列计算技术对大型生物学和化学数据进行分析，例如Meta-Analysis，对现有数据，建模和生态信息学的系统评价。将重点放在北海，北海的特征是多种人类压力，包括化学体和快速变暖，但也提供重要的生态系统服务，许多通过其鱼类群落介导的许多人。北海也是世界上最富有数据的海洋生态系统之一，也是国家和欧洲计划生产的生物，化学和气候数据产品的开放性越来越多，这使得该项目的大数据应用是该项目的核心非常及时。