模拟海洋盆地生态系统的挑战
Brad deYoung1, Mike Heath, Francisco Werner
1Physics and Physical Oceanography, Memorial University, St. John's, Canada. bdeyoung@physics.mun.ca
概括
预测海洋生态系统的变化需要先进的食物网模型. 这项研究提出了一项战略,将鱼类等更高的热带水平纳入生态模型,解决变异性和复杂生命史方面的挑战,以改善渔业管理.
科学领域:
- 海洋生态海洋生态学
- 海洋学 海洋学 海洋学
- 渔业科学 渔业科学
背景情况:
- 生态和环境管理越来越需要对海洋生态系统的预测能力.
- 现有的生物地质化学和物理海洋学模型是先进的,但很难将更高的食量水平纳入其中.
- 在更高的食物营养水平的生物体表现出更长的寿命和复杂的生命史,使整合到生态系统模型变得复杂.
研究的目的:
- 应对将海洋生态系统模型扩展到包括动物浮游生物和鱼类的挑战.
- 为改善海洋生态系统动态的预测提出战略方法.
- 促进对海洋食物网及其对环境变化的反应有更全面的了解.
主要方法:
- 利用最近生态建模技术的进步.
- 将新的观测数据集成到现有的海洋学模型中.
- 开发用于在统一的建模框架内将不同的热量级结合在一起的方法.
- 将方法纳入模型预测中的不确定性.
主要成果:
- 一项提议的战略是为了增强海洋生态系统模型,以包括更高的营养水平.
- 确定对具有复杂生命史的长寿物种建模的关键挑战.
- 跨食用层的合和整合物理和生物过程的框架.
- 解决海洋生态系统变化预测不确定性的方法.
结论:
- 拟议的战略为更强大的海洋生态系统建模提供了前进的途径.
- 综合较高的食量水平对于有效的渔业和环境管理至关重要.
- 解决更高的热量级的变化和复杂性是提高预测能力的关键.
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