Research Starter Grant for Biological Informatics: Linking theory with data to understand the population dynamics of migratory animals

生物信息学研究启动资助：将理论与数据联系起来，了解迁徙动物的种群动态

• 批准号: 0933602
• 负责人: Caroline Taylor
• 金额: $ 5万
• 依托单位: Tulane University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0933602&HistoricalAwards=false
• 关键词: Research; Starter; Grant; Biological; Informatics

Many species migrate, using habitats in different locations during different parts of the year. Many bird species, for example, breed during the summer months at higher latitudes and spend winters at lower latitudes. Modeling the dynamics of migratory species is complicated by the fact that growth, survival, and reproduction may be very different in each location, and existing population models are not well suited for migratory species. This project will develop models based on graph theory that are appropriate for migratory species, and then use data for Tree Swallows (Tachycineta bicolor) to parameterize those models. Stable isotopes of hydrogen and strontium, measured in feathers of birds collected in their winter habitats, will be matched against maps of isotope abundances across North America, providing information about where individual birds lived during the summer breeding season. Broader impacts of this project will include training of undergraduate and graduate students, and development of models that may inform conservation planning efforts for migratory species.

许多物种在一年中的不同时间迁移到不同地点的栖息地。例如，许多鸟类在夏季在高纬度地区繁殖，在低纬度地区过冬。迁移物种的动态建模是复杂的事实，生长，生存和繁殖可能是非常不同的，在每个位置，现有的人口模型不适合迁移物种。该项目将开发基于图论的模型，适用于迁徙物种，然后使用树燕（Tachycineta bicolor）的数据来参数化这些模型。在冬季栖息地收集的鸟类羽毛中测量的氢和锶的稳定同位素将与北美各地的同位素丰度图相匹配，提供有关鸟类在夏季繁殖季节居住的信息。该项目的更广泛影响将包括培训本科生和研究生，以及开发可为迁徙物种的保护规划工作提供信息的模型。