NSF Postdoctoral Fellowship in Biology FY 2014

NSF生物学博士后奖学金将研究和培训部分结合起来，为年轻科学家在新兴领域的职业生涯做好准备，在这些领域，生物学与其他科学学科交叉，在这种情况下，与数学和物理科学交叉。院士们有望引领国家--S未来的科学劳动大军。与John A.Marino的这一奖学金支持将经验和理论方法联系起来的研究和培训，以研究和加强生态推断和预测，并将其应用于五大湖渔业面临的严重威胁。该奖学金的主办机构是密歇根州立大学和密歇根大学，赞助科学家是Scott Peacor博士和Edward Ionides博士。培训目标包括学习新的分析方法和工具。推广工作包括学生和非政府组织、公众、渔业管理者、商业捕鱼和休闲产业以及政策制定者。种群动态和物种相互作用的推断和预测是主要的生态学研究目标，最近的方法学进步极大地改进了实现这些目标的方法。然而，这些方法尚未被广泛应用或很好地适应在生态学研究中的广泛使用。这项研究开发了一个推理框架，为更广泛地用于生态学研究，特别是关于水生生态系统--将物种相互作用的理论模型与生态时间序列数据相匹配--提供了对人类疾病的新的和有价值的见解。利用这一方法，解决了影响劳伦斯五大湖渔业的两个关键问题：入侵物种和全球气候变化。具体地说，该项目考察了两种潜在压力对重要捕食性鱼类的假想相互影响：两种主要入侵物种(水蚤和带刺水蚤，长毛水蚤)，以及水蚤和气候变化的联合影响。

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 physical sciences. The Fellows are expected to lead the nation?s scientific workforce of the future. This fellowship to John A. Marino supports research and training linking empirical and theoretical approaches to study and enhance ecological inference and forecasting, with applications to critical threats facing Great Lakes fisheries. The host institutions for this fellowship are Michigan State University and the University of Michigan, and the sponsoring scientists are Drs. Scott Peacor and Edward Ionides. Training goals include learning new analytical approaches and tools. Outreach efforts includes students and also non-government organizations, the public, fisheries managers, the commercial fishing and recreation industries, and policy makers.Inference and prediction of population dynamics and species interactions are major ecological research goals, and recent methodological advances have vastly improved approaches to meet these goals. However, these methodologies have not yet been widely applied or well adapted for broad use in ecological research. This research develops an inference framework that has provided new and valuable insights in human disease for use more broadly in ecological research, especially with respect to aquatic ecosystems - fitting theoretical models of species interactions to ecological time series data. Using this approach, two critical problems affecting fisheries in the Laurentian Great Lakes are addressed: invasive species and global climate change. Specifically, the project examines hypothesized interactive effects on important prey fishes of two potential stresses: two major invasive species (dreissenid mussels and the spiny water flea, Bythotrephes longimanus), and the joint effects of the water flea and climate change.