Postdoctoral Research Fellowship in Biological Informatics for FY 2002

这一行动为NSF 2002财年生物信息学博士后研究奖学金提供了资金。该奖学金支持生物学与信息科学、计算科学、数学科学和统计科学交叉的博士后水平的研究和培训。该研究金的目标是为一名青年科学家提供培训，为从事生物信息学的职业做准备，在生物信息学中将把研究和教育结合起来。生物信息学在所有职业层面的培训需求日益增加，预计通过这些奖学金培训的研究员将在培训未来的劳动力方面发挥重要作用。该奖学金的研究和培训计划题为“使用空间和物种显式森林动力学模型优化受管景观中的生物多样性保护”。管理热带森林的生物多样性需要解决一个优化问题，同时使生物多样性和木材价值随着时间的推移最大化。目前正在通过制定基于样本的生物多样性指数、建立空间和物种明确的森林动态模型以及量化保护生物多样性的机会成本来解决这一优化问题。

This action funds an NSF Postdoctoral Research Fellowship in Biological Informatics for FY2002. The fellowship supports research and training at the postdoctoral level at the intersection of biology and the informational, computational, mathematical, and statistical sciences. The goal of the fellowship is to provide training to a young scientist in preparation for a career in biological informatics in which research and education will be integrated. There is an increasing need for training in biological informatics at all occupational levels, and it is expected that Fellows trained through these fellowships will play important roles in training the future workforce.The research and training plan for this fellowship is entitled "Using Spatial and Species Explicit Forest Dynamics Models to Optimize Biodiversity Conservation in a Managed Landscape." Managing biodiversity in tropical forests requires solving an optimization problem that simultaneously maximizes biodiversity and timber value over time. This optimization problem is being solved through the development of sample based biodiversity indices, the development of spatial and species explicit forest dynamics models, and the quantification of the opportunity costs of biodiversity protection.