Collaborative Research: Producing an Updated Synthesis of the Arcrtic's Primary Production Regime and its Controls

合作研究：对北极初级生产制度及其控制进行更新综合

• 批准号: 0629253
• 负责人: Louis Codispoti
• 金额: $ 17.55万
• 依托单位: University of Maryland Center for Environmental Sciences
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0629253&HistoricalAwards=false
• 关键词: Collaborative; Research; Producing; Updated; Synthesis

Primary production provides the energy that fuels the Arctic Ocean (AO) ecosystem, as in all ecosystems. Understanding marine primary production (PP) and its controls is a critical step towards appreciating the Arctic Ocean as a system and allowing diagnostic modeling of its current status as well as prognostic modeling of future change.The focus of this proposal is to synthesize existing studies and data relating to AO PP and its changing physical controls such as light, nutrients, and stratification, and to use this synthesis to better understand how PP varies in time and space and as a function of climate change.Specifically, this work will:-Synthesize estimates of PP, using complementary methods that emphasize different spatial and temporal scales into a consistent pan-AO data set (ARCSS-PP). These methods are: (a) 14C uptake (measured; instantaneous gross to net algal primary production), (b) nutrient, O2 and inorganic carbon production/consumption (derived; seasonal and regional scale net community production), (c) remote sensing (derived; seasonal, regional, and real-time pan-AO net community production) and (d) bio-physical algorithms (derived; net primary production as a function of physical, chemical and physiological factors).-Employ ARCSS-PP to test hypotheses regarding the controls of PP and to prepare a marine PP dataset for AO modelers to calibrate biogeochemical numerical models, both in collaboration with existing or proposed ARCSS-funded projects.-Define functional regions of the AO that operate similarly with respect to PP with similar temporal and spatial variability.-Investigate potential future changes in PP using analogues from the historical data record.

初级生产提供能源，为北冰洋（AO）生态系统提供燃料，就像在所有生态系统中一样。了解海洋初级生产力（PP）及其控制因素是将北冰洋作为一个系统进行评价的关键一步，并允许对其现状进行诊断建模以及对未来变化进行预测建模。本提案的重点是综合现有的研究和数据，这些研究和数据与AO PP及其不断变化的物理控制因素（如光照、营养物质和分层）有关。并利用这种综合更好地了解PP如何在时间和空间上变化，并作为气候变化的函数。具体而言，这项工作将：-综合PP的估计，使用互补的方法，强调不同的空间和时间尺度到一个一致的泛AO数据集（ARCSS-PP）。这些方法是：（a）14 C吸收（测量的;瞬时总藻类初级生产量到净藻类初级生产量），（B）营养物、O2和无机碳生产/消耗（派生;季节和区域尺度的净群落生产），（c）遥感（衍生;季节性，区域性和实时泛AO网络社区生产）和（d）生物物理算法（衍生;净初级生产力作为物理、化学和生理因素的函数）。使用ARCSS-PP测试有关PP控制的假设，并为AO建模人员准备海洋PP数据集，以校准海洋地球化学数值模型，这两个数据集都与现有或拟议的ARCSS资助项目合作。定义AO的功能区域，这些功能区域相对于PP以类似的时间和空间变化性进行类似的操作。使用历史数据记录中的类似物研究PP的潜在未来变化。