NSF Postdoctoral Fellowship in Biology for FY 2011

2011 财年 NSF 生物学博士后奖学金

• 批准号: 1103622
• 负责人: Cynthia Chang
• 金额: $ 12.3万
• 依托单位: Chang Cynthia
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-04-01 至 2014-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1103622&HistoricalAwards=false
• 关键词: NSF; Postdoctoral; Fellowship; Biology; FY

This action funds an NSF Postdoctoral Research Fellowship in Biology for FY 2011, Intersections of Biology and Mathematical and Math. The fellowship supports a research and training plan in a host laboratory for the Fellow at the intersection of biology with mathematics and geochemistry. The title of the research and training plan for this fellowship to Cynthia Chang is "Using hierarchical Bayesian modeling to understand community assembly after an eruption and predict responses to global change." The host institution for this fellowship is the University of Washington, Seattle and the sponsoring scientists are Drs. Janneke Hille Ris Lambers and Peter Guttorp.Understanding how natural communities assemble following major disturbances gives unique insight into the dynamic nature of ecosystems through time. In plant communities, dispersal strategy, life history, and growth traits are deterministic factors that influence community interactions. Stochastic factors, such as random chance, can also dictate how communities assemble. Both types of interactions influence community species diversity over the course of succession. Bayesian hierarchical modeling has the unique ability to incorporate deterministic and stochastic factors, multiple scales, and interactions. Biological insight, however, is necessary to build meaningful models. Based upon a 30-year dataset on plant colonization, composition, and trait distribution after a major volcanic eruption, this research is generating models that further our understanding of community assembly processes after a major disturbance, as well as predict future community response to global change based on past relationships.Training objectives include developing expertise in statistical and analytical techniques. Educational outreach includes developing undergraduate and high school course curricula that use Mount St. Helen?s research as a case study and involving graduate and undergraduate students with research. The broader impacts include informing policy makers for future land management of the characteristics of this and similar ecosystems. The predictive models can serve as a theoretical framework for understanding how ecological communities may respond to other major disturbances as well as anticipated global change. The findings of this research are being disseminated through scientific and popular talks, meetings with The Nature Conservancy and U.S. Forest Service, and publications in peer-reviewed journals.

这一行动资助了NSF 2011财年生物学博士后研究奖学金，生物学、数学和数学的交叉点。该奖学金支持在东道主实验室为生物学、数学和地球化学交叉学科的研究员制定研究和培训计划。Cynthia Chang这一奖学金的研究和培训计划的标题是“使用分层贝叶斯模型来理解火山爆发后的社区集会并预测对全球变化的反应。”该奖学金的主办机构是西雅图华盛顿大学，赞助科学家是Janneke Hille Ris Lambers博士和Peter Guttor.了解自然群落如何在重大扰动后聚集在一起，这让我们对生态系统随时间变化的动态性质有了独特的见解。在植物群落中，扩散策略、生活史和生长性状是影响群落相互作用的决定性因素。随机因素，如随机机会，也可以决定社区如何聚集。在演替过程中，这两种类型的相互作用都会影响群落物种多样性。贝叶斯分层模型具有融合确定性和随机性因素、多尺度和交互作用的独特能力。然而，生物学洞察力对于建立有意义的模型是必要的。这项研究基于一次大火山喷发后植物定居、组成和特征分布的30年数据集，正在生成模型，以加深我们对大干扰后群落聚集过程的理解，并根据过去的关系预测未来群落对全球变化的反应。培训目标包括发展统计和分析技术方面的专业知识。教育外展包括开发本科和高中课程课程，将圣海伦？S火山研究作为案例研究，并让研究生和本科生参与研究。更广泛的影响包括向未来土地管理的政策制定者通报该生态系统和类似生态系统的特点。预测模型可以作为一个理论框架，用于理解生态群落如何应对其他主要干扰以及预期的全球变化。这项研究的结果正在通过科学和大众演讲、与自然保护协会和美国林业局的会议以及同行评议期刊上的出版物来传播。