Construction and analysis of mechanistic, predictive, and empirically testable models in ecology and ecotoxicology via rigorous chemical and physical laws

通过严格的化学和物理定律构建和分析生态学和生态毒理学中的机械、预测和经验可测试模型

• 批准号: RGPIN-2015-04581
• 负责人: Wang, Hao
• 金额: $ 1.02万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635683
• 关键词: Construction; analysis; mechanistic; predictive; empirically

My main research objective is to understand the role of nutrients in the growth and competition of herbivores and biodegradation of bacteria, and to apply these new fundamental understandings to control deleterious populations and toxic organic matter, including species invasions and ecotoxicology. Control of invasive species has been an extremely important topic globally because the economic effects of invasive species are enormous (estimated global damages at $1.4 trillion annually according to the United Nations Environment Programme). Industry-induced pollution has been a severe environmental problem around the world as the US Environmental Protection Agency and the Canadian Council of Ministers of the Environment have indicated. To guide experiments and management for solving these world-wide issues, mathematical modeling plays a pivotal and necessary role by connecting the known dynamical components, which usually fit together in complex nonlinear ways.

我的主要研究目标是了解营养物质在食草动物生长和竞争以及细菌生物降解中的作用，并将这些新的基本认识应用于控制有害种群和有毒有机物，包括物种入侵和生态毒理学。由于入侵物种的经济影响巨大（据联合国环境规划署估计，每年全球损失达1.4万亿美元），因此控制入侵物种已成为全球一个极其重要的话题。正如美国环境保护署和加拿大环境部长理事会所指出的那样，工业引起的污染已成为全球严重的环境问题。为了指导解决这些世界性问题的实验和管理，数学建模起着关键和必要的作用，通过连接已知的动态组件，这些组件通常以复杂的非线性方式组合在一起。