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.

使用等级贝叶斯模型以及研究调节种群人口统计学的过程的鱼类生活历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，例如密度依赖于密度的增长和生存，提供了对了解物种在其环境中如何共同繁殖至关重要的知识。尤其是海洋人群非常困难，因为它们的一部分生命周期（例如幼虫或少年阶段）仍然是一个谜。这项研究的目的是开发一种生活历史模型，该模型可以通过捕捞种群的海洋库存评估中的公共数据进行参数化。这些有关数百种海洋物种人口动态的数据是由全球国际和联邦机构收集的。通过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历史特征（包括卵大小和数量）和种群弹性之间的关系。由于先前的统计方法和可用数据的局限性，以前几乎无法做到这一点。这种比较方法将为决定物种的关键生活历史特征提供新的观点吗？对环境变化的韧性。除了这些影响之外，这项研究还可以培训早期职业科学家在新颖的统计技术方面。它还提供了与其他人解决保护问题的机会，包括生态学家，资源经理和政策制定者。由于接受了NSF博士后研究员的培训，PI将能够继续针对海洋生物所面临的当前挑战开发跨学科的方法。