课题基金 / 基金详情

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

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:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

项目摘要

项目成果

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中文摘要
翻译
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,以解决这些世界性的问题,数学建模发挥了关键和必要的作用,它将已知的动态组件连接在一起,这些组件通常以复杂的非线性方式组合在一起。*我在数学生物学方面的工作已经从循环种群动力学发展到基本的化学计量建模和分析,然后发展到化学计量理论的应用和传染病的传播。在营养缺乏的环境中,考虑营养循环或化学计量学对于种群模型来说可能是至关重要的。我计划将化学计量学建模推进到更机械化的水平,这可能会导致理论生物学中的一些基本定律。将其应用于物种入侵可以指导政府制定更好的管理政策。研究营养和浊度等非生物因素对关键生物响应的影响,对于决定本地物种和入侵物种的竞争结果至关重要。化学计量学概念的另一个应用是生态毒理学。我将构建一个化学计量生物降解模型,以估计艾伯塔省油砂行业产生的尾矿、池塘和末端矿坑湖泊的甲烷产量。一个相关的项目是油砂污染对艾伯塔省生态系统持久性和生物多样性的风险评估,这是与艾伯塔省政府的联合项目。另一个单独的项目专注于传染病的传播,包括它们的传播方式和传播速度。*我将提出一个数学、计算和实验研究的综合计划,该计划将提供具有化学和物理约束的新一代机械模型。大多数数学模型都是非光滑动态系统,可能会产生新的动力学和分叉。分析技术包括局部和全局稳定性分析、分叉分析、单调动力系统理论、持续理论、扰动理论、灵敏度分析、小波分析等。此外,这些机制模型将受到挑战,并通过实验数据进行校准。**
英文摘要
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.****My work in mathematical biology has evolved from cyclic population dynamics to fundamental stoichiometric modeling and analysis, and then to applications of stoichiometric theory and the spread of infectious diseases. In nutrient deficient environments, the consideration of nutrient cycling, or stoichiometry, can be essential for population models. I plan to advance the stoichiometric modeling into a more mechanistic level, which may lead to some fundamental laws in theoretical biology. Its application to species invasions can guide the government towards improved management policies. To study the impacts of abiotic factors, such as nutrient and turbidity, on key biological responses is essential for determining the competition result of native and invasive species. The other application of the stoichiometric concept is ecotoxicology. I will construct a stoichiometric biodegradation model to estimate methane production from tailings ponds and end pit lakes, generated by the oil sands industry, in Alberta. An associated project is the risk assessment of oil sands pollution on the persistence and biodiversity of an ecosystem in Alberta, which is a joint project with the Alberta government. Another separate project is focused on the spread of infectious diseases including their transmission modes and rates.****I propose an integrated program of mathematical, computational, and experimental studies that will provide a new generation of mechanistic models with chemical and physical constraints. Most mathematical models are non-smooth dynamical systems which may generate novel dynamics and bifurcations. Analytical techniques include local and global stability analysis, bifurcation analysis, theory of monotone dynamical systems, persistence theory, perturbation theory, sensitivity analysis, wavelet analysis, etc. Furthermore, these mechanistic models will be challenged and calibrated by experimental data.**
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会议论文
Temporal and Spatial Dynamics in Mathematical Ecology
  • 批准号:
    RGPAS-2020-00090
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
  • 资助金额:
    $2.91万
  • 财政年份:
    2022
  • 负责人:
    Wang, Hao
  • 依托单位:
Temporal and Spatial Dynamics in Mathematical Ecology
  • 批准号:
    RGPIN-2020-03911
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2022
  • 负责人:
    Wang, Hao
  • 依托单位:
Construction and analysis of mechanistic, predictive, and empirically testable models in ecology and ecotoxicology via rigorous chemical and physical laws
  • 批准号:
    RGPIN-2015-04581
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.02万
  • 财政年份:
    2019
  • 负责人:
    Wang, Hao
  • 依托单位:
Using stochastic substition mapping to uncover features of molecular evolution
  • 批准号:
    512865-2017
  • 项目类别:
    University Undergraduate Student Research Awards
  • 资助金额:
    $0.33万
  • 财政年份:
    2017
  • 负责人:
    Wang, Hao
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
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利用全基因组关联分析和QTL-seq发掘花生白绢病抗性分子标记
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  • 批准号:
    31900571
  • 项目类别:
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  • 资助金额:
    24.0万元
  • 批准年份:
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  • 负责人:
    刘兵
  • 依托单位: