NSF Postdoctoral Fellowship in Biology FY 2013

2013 财年 NSF 生物学博士后奖学金

• 批准号: 1305929
• 负责人: Holly Kindsvater
• 金额: $ 14万
• 依托单位: Kindsvater Holly K
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1305929&HistoricalAwards=false
• 关键词: NSF; Postdoctoral; Fellowship; Biology; FY

Linking early growth and survival with population dynamics, using hierarchical Bayesian models and a global database of fish life-history traits Studying the processes that regulate population demography, such as density dependent growth and survival, provides knowledge that is critical to understanding how species coexist and thrive in their environment. Marine populations, in particular, are very difficult to study because parts of their life cycle, such as larval or juvenile stages, remain a mystery. The objective of this research is to develop a life-history model that can be parameterized with public data from marine stock assessments of fished populations. These data on the population dynamics of hundreds of marine species are collected by international and federal agencies around the globe. With recently developed statistical methods, these data can be used to indirectly infer the relationship between life-history traits (including egg size and number) and population resilience for many species. This was previously almost impossible to do, because of the limitations of prior statistical methods and available data. This comparative approach will provide new perspectives on the key life-history traits that determine species? resilience to environmental change.In addition to these impacts, this research allows for the training of an early career scientist in novel statistical techniques. It also provides opportunities to teach and work with others tackling problems in conservation, including ecologists, resource managers, and policy makers. With the training received as an NSF postdoctoral fellow, the PI will be able to continue developing interdisciplinary approaches to the current challenges facing marine organisms.

使用分层贝叶斯模型和鱼类生活史特征的全球数据库，将早期生长和生存与种群动态联系起来。研究调节种群人口统计学的过程，例如密度依赖性生长和生存，为了解物种如何在其环境中共存和繁荣提供了至关重要的知识。尤其是海洋种群，研究起来非常困难，因为它们生命周期的某些部分，例如幼虫或幼体阶段，仍然是个谜。这项研究的目的是开发一个生活史模型，该模型可以利用捕捞种群海洋种群评估的公共数据进行参数化。这些有关数百种海洋物种种群动态的数据是由全球国际和联邦机构收集的。利用最近开发的统计方法，这些数据可用于间接推断许多物种的生活史特征（包括卵的大小和数量）与种群恢复力之间的关系。由于先前统计方法和可用数据的限制，这在以前几乎是不可能做到的。这种比较方法将为决定物种的关键生活史特征提供新的视角？对环境变化的适应能力。除了这些影响之外，这项研究还可以对早期职业科学家进行新型统计技术的培训。它还提供了教学和与其他人合作解决保护问题的机会，包括生态学家、资源管理者和政策制定者。通过作为 NSF 博士后研究员接受的培训，PI 将能够继续开发跨学科方法来应对海洋生物当前面临的挑战。