海洋初级生产力的一维物理生态耦合模型

为了更有效研究海洋初级生产力量值，构建物理-生态耦合模型，探讨影响海洋初级生产力的动力及生态因素.通过增加对流和扩散模块、分离营养盐循环体系、改变浮游植物生长速率公式及加入叶绿素计算模块，分别优化Gill-Turner（简称GT）混合层模型与Schmittner（简称S）生态系统模型，进而建立新型物理-生态耦合模型.基于Mathematica二次开发平台对模型进行编程实现，用以模拟大西洋百慕大站和太平洋夏威夷站的海洋初级生产力，优化后耦合模型的模拟结果精度明显提高.模拟结果显示，两大海域初级生产力均具有冬季高夏季低的分布特征，混合层深度与浮游植物浓度是影响初级生产力分布的重要因素.
Abstract: A physical-biological coupled model was constructed to analyze the main hydrodynamic and ecological factors affecting marine primary production in order to more effectively analyze marine primary productivity. The Gill-Turner (GT) mixed layer model and the Schmittner (S) ecosystem model were optimized by adding advection-diffusion module, separating the nitrogen and phosphate circulations, correcting phytoplankton growth functions and introducing chlorophyll calculation. A new coupled physical-biological model was constructed. Then the model was implemented based on Mathematica 10.0 platform, and applied in the Bermuda Atlantic Time-series Study site and Hawaii Ocean Time-series station to simulate the spatial and temporal distributions of primary production. All optimized steps were proved to improve the performance of this coupled model. The simulation results indicate that primary production distributions at both spots have the characteristics of higher values in winter and lower in summer. The mixed layer depth and phytoplankton concentration are the important factors affecting its distribution.