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

我的主要研究目标是了解营养物质在食草动物的生长、竞争和细菌的生物降解中的作用，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。控制入侵物种在全球范围内一直是一个极其重要的话题，因为入侵物种的经济和社会影响是巨大的(据联合国环境规划署估计，每年全球损失1.4万亿美元)。正如美国环境保护局和加拿大环境部长理事会所指出的那样，工业引发的污染一直是全球范围内的一个严重环境问题。为了指导实验和管理部门解决这些世界性问题，数学建模发挥着关键和必要的作用，它将已知的动力学组件连接在一起，这些组件通常以复杂的非线性方式组装在一起。

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.