Trait-based phytoplankton models in a changing world

不断变化的世界中基于性状的浮游植物模型

• 批准号: 311845-2010
• 负责人: Irwin, Andrew
• 金额: $ 1.68万
• 依托单位: Mount Allison University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=506854
• 关键词: Trait; based; phytoplankton; models; changing

Phytoplankton account for about 50% of global primary production and they drive a flux of carbon from the atmosphere to the deep ocean. This carbon flux is responsible for about 11 Gt C a-1. This is a significant flux of C as it is currently larger than the annual anthropogenic input of C into the atmosphere. Changing climate at the surface of the ocean, including temperature, atmospheric CO2, ocean pH, and wind-driven mixing, will alter the distribution of phytoplankton biomass and productivity and the amount of C exported by the biological pump. Presently the oceanographic community has only crude models for the amount of primary and export production and changes expected as a consequence of anthropogenic climate change. I will develop mathematical models of marine phytoplankton productivity and biomass distributions to predict effects of changing environmental conditions on primary and export production and consequences for biogeochemical cycles. My program goals are to connect phytoplankton physiological mechanisms such as acclimation to variable resources to their ecological and biogeochemical consequences, in order to predict how climate change will alter marine primary production, ecosystem dynamics and ocean carbon cycling. I will construct and test models of phytoplankton photosynthesis and growth and community composition and use databases and time-series to assess these modeling approaches, specifically taxonomic and size based traits and trait trade-offs.

浮游植物约占全球初级生产的50%，它们将碳从大气层转移到深海。 这种碳通量是负责约11千兆吨C a-1。 这是一个重要的碳通量，因为它目前大于每年人为输入到大气中的碳。 海洋表面的气候变化，包括温度、大气CO2、海洋pH值和风驱动的混合，将改变浮游植物生物量和生产力的分布以及生物泵输出的C量。 目前，海洋学界对于初级生产和出口生产的数量以及预期由于人为气候变化而引起的变化只有粗略的模型。我将建立海洋浮游植物生产力和生物量分布的数学模型，以预测环境条件变化对初级和出口生产的影响以及对生物地球化学循环的影响。我的计划目标是将浮游植物的生理机制（如适应可变资源）与其生态和生物地球化学后果联系起来，以预测气候变化将如何改变海洋初级生产，生态系统动态和海洋碳循环。我将构建和测试浮游植物光合作用和生长和群落组成的模型，并使用数据库和时间序列来评估这些建模方法，特别是分类和基于大小的性状和性状权衡。