Collaborative Research: Linking sea-ice retreat to plankton community structure and function in the Bering Sea: Data synthesis, biophysical modeling, and multi-decadal projection

合作研究：将海冰退缩与白令海浮游生物群落结构和功能联系起来：数据合成、生物物理建模和多十年预测

• 批准号: 1107588
• 负责人: Carin Ashjian
• 金额: $ 23.5万
• 依托单位: Woods Hole Oceanographic Institution
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1107588&HistoricalAwards=false
• 关键词: Collaborative; Research; Linking; sea; ice

Funds are provided to use the diverse and comprehensive dataset collected during the BEST/BSIERP field program of 2007-2010 to carefully structure and parameterize a new, system- and life-stage specific biophysical model. The PIs? approach differs from traditional NPZ type ecosystem modeling because of the inclusion of life-stage specific zooplankton components and will permit them to better understand the impact of the changing environment on plankton phenologies and on carbon cycling. They will focus on spring conditions, when sea ice is present or retreating, to understand the linkages and functional relationships between different components of the plankton ecosystem and to understand the interaction of zooplankton life histories with the timing and extent of sea ice and stratification of the water column. Syntheses of biological rate processes measured at sparsely distributed process stations with standing stocks and physical and chemical data from the broadly distributed survey stations will identify which components and processes are most important in controlling the structure and function of the system and will independently derive a data-based mechanistic synthesis against which the model's internal pathways can be tested. They will use model-based scenario testing to examine how projected future change in environmental conditions, especially sea ice, may impact planktonic ecosystem structure and function, and to identify the key trophic and physiological mechanisms to which this ecosystem response is most sensitive.The timing and extent of sea ice cover in the eastern Bering Sea influence the timing of plankton production, the composition and abundance of the zooplankton, and ultimately the availability of food for upper trophic levels including commercially important fish species such as pollock. The PIs propose to gain a greater understanding of the potential impact of ongoing climate change on this planktonic ecosystem. Specifically, they ask: How will climate change, and the anticipated earlier retreat in seasonal sea ice, warmer water temperatures, and reduced sea ice extent alter the structure and function of the planktonic food web during spring, and thus the ultimate fate of algal production in the Bering Sea, the utilization and cycling of carbon, and the production and availability of zooplankton as prey for upper trophic levels, including commercially important fish species?

提供资金，以使用2007 - 2010年最佳/BSIERP现场计划中收集的多样化和全面的数据集来仔细构建和参数化新的，系统和生活阶段的特定生物物理模型。 pis？方法与传统的NPZ型生态系统建模不同，因为包含了生命阶段的浮游动物组件，并且将使他们能够更好地理解不断变化的环境对浮游生物物质和碳循环的影响。当海冰存在或撤退时，他们将重点关注春季条件，以了解浮游生物生态系统的不同组成部分之间的联系和功能关系，并了解浮游生物寿命与海冰的时间和水柱分层的时间和范围的相互作用。在稀疏分布的过程站中测量的生物学速率过程的合成以及来自广泛分布的调查站的物理和化学数据的生物学速率过程将确定哪些组件和过程在控制系统的结构和功能方面最重要，并将独立得出基于数据的机械机械合成，用于测试该模型的内部途径。他们将使用基于模型的场景测试来检查环境条件的预计未来变化，尤其是海冰，可能会影响浮游生活的生态系统的结构和功能，并确定该生态系统响应最敏感的关键营养和生理机制最敏感。上营养水平，包括商业上重要的鱼类，例如波洛克。 PI提议对持续气候变化对这个浮游生活生态系统的潜在影响有更深入的了解。他们具体地问，他们问：气候变化以及预期的早期在季节性海冰，较高的水温和降低的海冰范围会改变春季浮游食品网的结构和功能，从而改变雾化海中藻类生产的最终命运，以及碳水化合物的利用率和循环水平，以及ZOOPLANK的生产和循环水平，包括Zooplank的生产和可用性？