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.

气候驱动的鱼类分布变化对海洋食物网中污染物暴露和积累的影响海洋鱼类在海洋食物网中发挥着至关重要的作用，包括作为海洋哺乳动物和海鸟等标志性顶级捕食者的食物。它们也暴露在各种污染物中，并可能积累这些污染物并将其转移给捕食者。该项目将调查不同鱼类之间暴露于污染物的相对风险如何变化，随着鱼类物种分布跟踪我们不断变化的气候和鱼类群落的重组，这种风险将如何变化，以及这对更广泛的海洋食物网，生态系统功能和服务的影响。在海洋宏观生态学和生态毒理学之间的新型合作中，该项目将涉及使用一系列计算技术（例如元分析、现有数据的系统回顾、建模和生态信息学）分析现有的大生物和化学数据。重点将首先放在北海，其特点是多种人类压力，包括化学污染物和快速变暖，但也提供重要的生态系统服务，其中许多是通过其鱼类群落介导的。北海也是世界上监测最完善、数据最丰富的海洋生态系统之一，国家和欧洲倡议产生的生物、化学和气候数据产品越来越多地公开提供，这使得对该项目至关重要的大数据方法非常及时。