Predicting plankton patchiness in lakes using a high resolution sampling system

使用高分辨率采样系统预测湖泊中的浮游生物斑块

• 批准号: DP0664751
• 负责人: Prof Anas Ghadouani
• 金额: $ 9.68万
• 依托单位: The University of Western Australia
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2006
• 资助国家: 澳大利亚
• 起止时间: 2006-05-01 至 2009-12-07
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0664751
• 关键词: Predicting; plankton; patchiness; lakes; using

This research will benefit Australian Society through a better understanding and prediction of the response of aquatic systems to major shifts in the environment. Eutrophication and toxic algal blooms represent serious threats to the security of water supplies in Australia and elsewhere. Through development of high resolution technology (SPS), this project will provide the necessary knowledge and data for producing management tools capable of detailed predictions of the behaviour of aquatic systems. Successful management of Australian waters relies heavily on a better understanding of the scale dependent processes which govern the response to external perturbations such as increased nutrient export and consequent eutrophication.

这项研究将通过更好地理解和预测水生系统对环境重大变化的反应而使澳大利亚社会受益。富营养化和有毒藻华对澳大利亚和其他地方的供水安全构成严重威胁。通过开发高分辨率技术（SPS），该项目将提供必要的知识和数据，用于生产能够详细预测水生系统行为的管理工具。澳大利亚水域的成功管理在很大程度上依赖于对规模依赖过程的更好理解，这些过程控制着对外部扰动（如增加的营养输出和随之而来的富营养化）的反应。