REU Site: Ecological Modeling of the Mississippi River Basin

REU 站点：密西西比河流域的生态模型

基本信息

批准号：
1852224
负责人：
James Peirce
金额：
$ 27.23万
依托单位：
University of Wisconsin-La Crosse
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-06-01 至 2022-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1852224&HistoricalAwards=false
关键词：
REU Site Ecological Modeling Mississippi

项目摘要

The objectives of this project are to train undergraduates in interdisciplinary mathematics via research projects in ecological modeling; to motivate undergraduate students, especially underrepresented and/or first-generation college students with limited access to research at their home institution, to attend graduate school; and to prepare undergraduate students to be successful in an interdisciplinary, collaborative setting. To achieve these objectives as part of this REU Site, students use ecological modeling techniques to address questions about wildlife diseases as well as the factors contributing to floodplain forest diversity and water quality. Projects utilize 20-year data sets from the Mississippi River Basin to better understand the biological patterns and processes underlying this unique region. The 24 student participants develop the motivation and wide-ranging skills necessary to transition into STEM-related careers, including those in mathematical biology. Since this REU research experience is in collaboration with federal scientists, results from students' projects can be rapidly applied to resource-management problems, which may help to inform future decisions made by state and federal agencies (such as the U.S. Fish and Wildlife Service).The research projects completed by participants in this REU Site will contribute to the overall body of knowledge in ecological modeling by tackling novel research questions in the areas of wildlife disease, water quality and forest diversity using ordinary and stochastic differential equations, optimal control theory, time-series analysis, multivariate analysis, and occupancy modeling. The mentors include faculty and federal scientists who are excited to continue leading undergraduate research projects in ecological modeling and disseminating project results in peer-reviewed journals and/or regional or national conferences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目的目标是通过生态建模的研究项目在跨学科数学中培训本科生；激励本科生，尤其是代表性不足和/或第一代大学生，他们在家庭机构获得研究的机会有限，就读研究生院；并准备在跨学科的协作环境中取得成功。为了实现这些目标作为此REU站点的一部分，学生使用生态建模技术来解决有关野生动植物疾病的问题以及导致洪泛区森林多样性和水质的因素。项目利用从密西西比河流域进行的20年数据集，以更好地了解这个独特地区的生物学模式和过程。 24名学生参与者发展了过渡到与STEM相关的职业（包括数学生物学的职业）所需的动力和广泛的技能。由于这项REU研究经验与联邦科学家合作，因此学生项目的结果可以迅速应用于资源管理问题，这可能有助于为州和联邦机构做出的未来决定（例如美国鱼类和野生动物服务局）的未来决策。参与者在此REU中完成的研究项目将通过此REU站点来实现综合研究的整体研究，以使其在越来越多的境界中差异化，并在各种研究中差异化，并在范围内差异化，并在各种研究中差异化，而越来越多的新颖的森林范围内的境地界界界界的范围内的境地和范围内的界限，这些界限是野外界面的范围，这些领域的领域是野性界面的范围，这些界限是野外界面的范围，这些界限是野外界面的范围。方程，最佳控制理论，时间序列分析，多元分析和占用建模。这些导师包括教师和联邦科学家，他们很高兴继续领导生态建模和传播项目成果的本科研究项目，并在同行评审的期刊和/或地区或国家会议中继续进行。这项奖项反映了NSF的法定任务，并通过基金会的知识优点和广泛的影响来评估NSF的法定任务，并被认为是值得的。