Multiscale Analysis of Integrated and Species-Specific Response to Climate Forcing and Eutrophication in Northern European Seas

阿里斯特·哈代爵士海洋科学基金会(SAHFOS)维护并不断扩展其连续浮游生物记录器(CPR)调查的记录，该调查是北大西洋和北海时间最长、内容最丰富的海洋监测方案之一。这项调查中的数据有可能对该区域海洋生态系统的长期趋势和驱动力产生独特的见解，例如气候变化的影响。该项目将开发新的统计方法来分析CRP数据，旨在确定与大或小空间和时间尺度相关的不同行为模式，并培训学生改进和应用这些方法。总体目标将是确定不同的人为压力是否在北欧海域以不同的空间和时间尺度运作。开发这种方法将引入对生态系统过程集合的多尺度分析，并量化富营养化和气候变化的不同尺度影响。该项目还将致力于量化物种之间的生物相互作用，一旦外部驱动力被考虑在内。海洋监测数据由指定的项目合作伙伴SAHFOS提供。SAHFOS还将提供必要的生态学专业知识来指导项目的发展，这对于真正解决重要的科学问题--理清和了解气候、富营养化和浮游生物丰度之间的复杂相互作用--是必要的。通过将科学认识与适当的统计方法相结合，可以从这一丰富而复杂的数据集合中提取信息，并说明估计的不确定性。

The Sir Alister Hardy Foundation for Ocean Science (SAHFOS) maintains and continually extends their records from the Continuous Plankton Recorder (CPR) survey, one of the longest and richest marine monitoring programmes for the North Atlantic and the North Sea. The data in this survey has the potential for yielding unique insights into the long term trends and driving forces on marine ecosystems in this region, such as for example climate change impacts. This project will develop novel statistical methods for analysing the CRP data, aiming to determine the different regimes of behaviour associated with large or small spatial as well as temporal scales, and train the student to refine and apply such methods. The overall goal will be to ascertain if different anthropogenic pressures operate at different spatial and temporal scales in Northern European seas. Developing such methods will introduce multiscale analysis for collections of ecosystem processes, and quantify the different scale effects of eutrophication and climate change. The project will also aim to quantify biological interactions between species, once the external driving forces have been accounted for. The marine monitoring data is provided by SAHFOS, the designated project partner. SAHFOS will also provide the necessary ecological expertise to guide the developments of the project, necessary to make real inroads into the important scientific problem of disentangling and understanding the complex interactions of climate, eutrophication and plankton abundance. By combining the scientific understanding with suitable statistical methods information can be extracted from this rich and complex collection of data, and the uncertainty of estimation accounted for.