Development, Analysis, and Implementation of Computationally Efficient Models for Resolving CEllular and COMmunity Composition of Plankton (CECOMP)

开发、分析和实施用于解析浮游生物细胞和群落组成的计算高效模型 (CECOMP)

• 批准号: 416615887
• 负责人: Dr. Onur Kerimoglu
• 金额: --
• 依托单位: Institut für Meereskunde (IMee)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/416615887?language=en
• 关键词: Development; Analysis; Implementation; Computationally; Efficient

Phytoplankton in oceans and marine systems play important roles in global biogeochemical cycles. Coupled earth system models, which are useful for estimating future and hypothetical states of ecosystems at various scales, use parameterizations of growth, export, and trophic transfer of carbon and other elements bound to plankton. Often, these parameterizations either completely ignore, or rely on oversimplified representations of underlying processes. As a result, the variability in the ratios of chlorophyll, carbon, nitrogen, phosphorus and other relevant elements bound to phytoplankton biomass are either misrepresented, or estimated based on heuristic formulations, behavior of which may become questionable outside the range of parameter fitting conditions. In this project, our objective is to develop model components that can improve the representation of algal growth and composition by accounting for acclimation processes in a computationally efficient manner. Those model components will be designed modularly, such that they can be easily coupled with existing plankton models. We will assess the utility of these model components for: i) understanding the mechanisms linking ecophysiology and abiotic elemental ratios, ii) reducing the need for site specific parameter tuning, and hence iii) enhancing predicitive capacity of the models. For reaching these objectives, we have organized the project into two groups of work packages: 1) Model development and analysis of their behaviors in idealized setups; 2) Implementation in realistic 3-D model setups for the North Pacific and North Sea coastal systems. The idealistic setups to be elaborated in the first group will capture the characteristic features observed in the specific study regions to be studied in the second group, such that the findings obtained within each group will be relevant for the other. Thus, this project will synergistically combine these two complementary methodologies, which are often employed in isolation.

海洋浮游植物在全球海洋地球化学循环中起着重要作用。耦合地球系统模型，这是有用的估计未来和假设的生态系统在不同尺度的状态，使用参数化的增长，出口，营养转移的碳和其他元素绑定到浮游生物。通常，这些参数化要么完全忽略，要么依赖于底层过程的过于简化的表示。因此，叶绿素，碳，氮，磷和其他相关元素结合到浮游植物生物量的比例的变化要么是错误的，或估计的启发式公式的基础上，其行为可能会成为可疑的参数拟合条件的范围之外。在这个项目中，我们的目标是开发模型组件，可以提高藻类的生长和组成的代表性占驯化过程中的计算效率的方式。这些模型的组成部分将采用模块化设计，以便能够很容易地与现有的浮游生物模型相结合。我们将评估这些模型组件的实用性：i）了解联系生态生理学和非生物元素比率的机制，ii）减少对特定站点参数调整的需求，因此iii）增强模型的预测能力。为了实现这些目标，我们将该项目分为两组工作包：1）模型开发和分析它们在理想化设置中的行为; 2）在北太平洋和北海海岸系统的现实三维模型设置中实施。在第一组中阐述的理想化设置将捕捉在第二组中研究的特定研究区域中观察到的特征，以便在每个组中获得的结果将与另一组相关。因此，本项目将协同联合收割机将这两种互补的方法结合起来，而这两种方法往往是单独使用的。