NSF Postdoctoral Fellowship in Biology FY 2014

2014 财年 NSF 生物学博士后奖学金

• 批准号: 1401854
• 负责人: Ailene Ettinger
• 金额: $ 20.7万
• 依托单位: Ettinger Ailene K
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-03-01 至 2018-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1401854&HistoricalAwards=false
• 关键词: NSF; Postdoctoral; Fellowship; Biology; FY

NSF Postdoctoral Fellowships in Biology combine research and training components to prepare young scientists for careers in emerging areas where biology intersects with other scientific disciplines, in this case with mathematics and statistics. The Fellows are expected to lead the nation?s scientific workforce of the future. This fellowship to Ailene K. Ettinger supports research and training to address plant performance by asking the ecological question, is it better to flower early as temperatures warm? It uses statistical tools to link timing with plant performance. The host institutions for this fellowship are Tufts University and Harvard University; the sponsoring scientists are Drs. Elizabeth Crone,Elizabeth Wolkovich, and Luke Bornn. Training goals include learning new modeling techniques, including the powerful statistical approach of Bayesian hierarchical modeling, through investigating the timing of many spring events, known as phenology, in some regions of the globe and the resulting effects on plants. Research results promise to assist natural resource managers in assessing whether phenology is a useful indicator for prioritizing species or populations that may be threatened by environmental change. They can determine if it is likely that a population of conservation or economic interest will decline in abundance if it has not shifted its flowering or leafing time with recent warming. Public outreach to conservation groups may interest them in conducting phenological monitoring on land they control.In regions where temperatures have increased over the past century, phenology has shifted: numerous plant species are flowering or leafing earlier. This research applies Bayesian hierarchical models to datasets of environmental monitoring and experiments that document the extent to which leaf-burst, flowering, and/or fruiting dates have shifted with warming to determine how shifts in phenology affect plant performance and population growth rates. Bayesian hierarchical methods are rarely applied to meta-analyses in ecology, despite the advantages they offer for accommodating uncertainty, variance, data from multiple sources, and small datasets. Although increasingly used in ecological studies, they remain controversial but powerful when used appropriately.

NSF生物学博士后研究金将联合收割机研究和培训部分结合起来，为年轻科学家在生物学与其他科学学科交叉的新兴领域的职业生涯做好准备，在这种情况下，数学和统计学。 研究员们有望领导国家？未来的科学劳动力。 这个奖学金给艾琳K。Ettinger支持通过提出生态问题来解决植物性能的研究和培训，即温度变暖时早开花是否更好？ 它使用统计工具将时间与工厂绩效联系起来。 该奖学金的主办机构是塔夫茨大学和哈佛大学;赞助科学家是伊丽莎白·克罗内博士、伊丽莎白·沃尔科维奇博士和卢克·伯恩博士。培训目标包括通过调查地球仪某些地区许多春季事件（称为物候）的时间以及对植物产生的影响来学习新的建模技术，包括强大的贝叶斯分层建模统计方法。 研究结果有望帮助自然资源管理人员评估物候是否是一个有用的指标，优先物种或人口可能受到环境变化的威胁。 他们可以确定，如果一个具有保护或经济利益的种群没有随着最近的变暖而改变其开花或长叶时间，它是否有可能大量减少。 公众对保护组织的宣传可能会使他们对在他们控制的土地上进行物候监测感兴趣。在过去世纪气温上升的地区，物候发生了变化：许多植物物种提前开花或长叶。 这项研究将贝叶斯分层模型应用于环境监测和实验的数据集，这些数据集记录了叶爆裂，开花和/或结果日期随着变暖而变化的程度，以确定物候变化如何影响植物表现和种群增长率。 贝叶斯分层方法很少应用于生态学中的元分析，尽管它们在适应不确定性，方差，多源数据和小数据集方面具有优势。 虽然越来越多地用于生态学研究，但它们仍然存在争议，但如果使用得当，它们是强大的。