NSF Postdoctoral Fellowship in Biology FY 2010

2010 财年 NSF 生物学博士后奖学金

• 批准号: 1003282
• 负责人: Tina Wey
• 金额: $ 12.3万
• 依托单位: Wey Tina W
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1003282&HistoricalAwards=false
• 关键词: NSF; Postdoctoral; Fellowship; Biology; FY

This action funds an NSF Postdoctoral Research Fellowship for FY 2010. The fellowship supports a research and training plan entitled "Network and statistical analyses of animal social complexity" for Tina Wey. The host institution for this research is University of California Davis and the sponsoring scientist is Dr. Andy Sih.Social structure, the pattern of social interaction among members of a group, is thought to play an important role in determining how individual traits influence mating success. However, a comprehensive understanding of how social structure influences mating success is lacking. Social network analysis offers a quantitative approach to measuring complex patterns of interaction. This project uses a large behavioral dataset on experimentally manipulated, replicated social groups of stream water striders (Aquarius remigis) to examine the effect of social network structure on mating success. Specifically, the project addresses the following questions: 1) What are the relative effects of social network traits at multiple stages on mating success? 2) How does group network structure emerge from individual traits and influence reproductive success? 3) How do network dynamics influence mating success, and how do individuals respond to network change? 4) How does environmental variation alter the relationship between network structure and individual success? This work addresses properties of real systems (complex interactions at multiple levels and temporal dynamics) that have been difficult to analyze and is producing a predictive framework and analytical methodology that can be broadly applied to many social systems.Training objectives include developing skills in network and statistical analysis, computer programming, and scientific outreach. Project goals include developing and disseminating new analytical tools needed to study animal social complexity, while fostering interdisciplinary collaboration between experts in behavioral ecology, network analysis, and statistics. This project advances our understanding of mating success, social complexity and evolution. Expected outcomes include a workshop and free online tutorial designed to teach behavioral ecologists basic social network analysis that can be applied to diverse questions and systems.

本行动资助美国国家科学基金会2010年度博士后研究奖学金。该奖学金支持Tina Wey的一项名为“动物社会复杂性的网络和统计分析”的研究和培训计划。这项研究的主办机构是加州大学戴维斯分校，赞助科学家是Andy Sih博士。社会结构，即群体成员之间的社会互动模式，被认为在决定个体特征如何影响交配成功方面发挥着重要作用。然而，缺乏对社会结构如何影响交配成功的全面理解。社会网络分析为测量复杂的交互模式提供了一种定量的方法。这个项目使用了一个大型的行为数据集，实验操作，复制了水黾的社会群体（水瓶座remigis）来检验社会网络结构对交配成功的影响。具体而言，该项目解决了以下问题：1)社会网络特征在多个阶段对交配成功的相对影响是什么？2)群体网络结构如何从个体特征中产生并影响繁殖成功？3)网络动态如何影响交配成功，个体如何应对网络变化？4)环境变化如何改变网络结构与个体成功之间的关系？这项工作解决了难以分析的真实系统的特性（多层复杂的相互作用和时间动态），并正在产生可广泛应用于许多社会系统的预测框架和分析方法。培训目标包括发展网络和统计分析、计算机编程和科学拓展方面的技能。项目目标包括开发和传播研究动物社会复杂性所需的新分析工具，同时促进行为生态学、网络分析和统计学专家之间的跨学科合作。这个项目推进了我们对交配成功、社会复杂性和进化的理解。预期的结果包括一个研讨会和免费的在线教程，旨在教授行为生态学家基本的社会网络分析，这些分析可以应用于不同的问题和系统。