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

与所有生态系统一样，初级生产为北冰洋 (AO) 生态系统提供能量。了解海洋初级生产 (PP) 及其控制是认识北冰洋作为一个系统并对其当前状态进行诊断建模以及对未来变化进行预测建模的关键一步。本提案的重点是综合与 AO PP 及其不断变化的物理控制（如光、营养物和分层）相关的现有研究和数据，并利用这种综合来更好地了解 PP 在时间和空间上的变化以及作为气候变化函数的变化。具体来说，这项工作将： - 使用强调不同空间和时间尺度的补充方法将 PP 估计综合为一致的泛 AO 数据集 (ARCSS-PP)。这些方法是：(a) 14C 吸收（测量；瞬时毛藻净初级生产力），(b) 养分、O2 和无机碳生产/消耗（衍生；季节性和区域规模净群落生产），(c) 遥感（衍生；季节性、区域和实时泛 AO 净群落生产）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）。-采用 ARCSS-PP 进行测试与现有或拟定的 ARCSS 资助项目合作，为 PP 控制提出假设，并为 AO 建模者准备海洋 PP 数据集来校准生物地球化学数值模型。 - 定义 AO 的功能区域，其操作与 PP 类似，具有相似的时间和空间变化。 - 使用历史数据记录中的类似物调查 PP 未来潜在的变化。

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.