Postdoctoral Research Fellowships in Biology for FY 2009

2009财年生物学博士后研究奖学金

• 批准号: 0905868
• 负责人: Lisa Patrick Bentley
• 金额: $ 12.3万
• 依托单位: Patrick Lisa
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0905868&HistoricalAwards=false
• 关键词: Postdoctoral; Research; Fellowships; Biology; FY

This action funds an NSF Postdoctoral Research Fellowship for FY 2009. The fellowship supports a research and training plan entitled "Linking plant scaling models with plant physiological models through novel bioinformatics approaches to estimate carbon and water fluxes of diverse plants" for Lisa Patrick. The host institution for this research is the University of Arizon, and the sponsoring scientist is Brian Enquist.This research combines metabolic scaling theory with plant physiological processes to produce a more robust framework for understanding and predicting whole-plant and ecosystem dynamics. Specific research objectives are to (1) integrate plant physiological models with metabolic scaling theory to estimate plant carbon and water fluxes across a wide variety of species, ecosystems, and environmental conditions and (2) statistically evaluate the ability of the coupled model to account for variation in biologically meaningful parameters while quantifying model error at each level (e.g., leaf, plant, species, ecosystem). The research approach involves utilizing and contributing information to diverse databases; integrating models within a hierarchical Bayesian framework; using existing data to parameterize the coupled physiological scaling model and subsequently estimate plant-level carbon and water fluxes across a variety of species, plant functional types, and environments; and statistically validating the new coupled physiological scaling model to quantify model error as well as uncertainty in estimated model parameters and model predictions. The research makes use of cutting-edge statistical tools and novel bioinformatics approaches to synthesize diverse anatomical, architectural, and physiological plant data within the context of semi-mechanistic ecological models. Results are used to improve terrestrial scaling relationships and contribute to improved predictive power for estimating the regional and global carbon and water budgets of woody plants and ecosystems dominated by woody plants. The training goals are to gain the ability to conduct interdisciplinary research through advanced training in modern statistical methods, model implementation and validation techniques, and scaling applications in ecology.

这项行动为2009财政年度的NSF博士后研究奖学金提供资金。该研究金支持丽莎帕特里克的一项研究和培训计划，题为“通过新的生物信息学方法将植物缩放模型与植物生理模型联系起来，以估计各种植物的碳和水通量”。这项研究的主办机构是亚利桑那大学，赞助科学家是Brian Enquist。这项研究将代谢缩放理论与植物生理过程相结合，为理解和预测整个植物和生态系统动态提供了一个更强大的框架。具体的研究目标是（1）将植物生理模型与代谢尺度理论相结合，以估计各种物种，生态系统和环境条件下的植物碳和水通量，以及（2）统计评估耦合模型的能力，以解释生物学意义参数的变化，同时量化每个水平的模型误差（例如，叶、植物、物种、生态系统）。研究方法包括利用和贡献信息到不同的数据库;整合模型在一个分层贝叶斯框架;使用现有的数据来参数化耦合的生理缩放模型，并随后估计植物水平的碳和水通量在各种物种，植物功能类型和环境;以及统计地验证新的耦合生理缩放模型以量化模型误差以及估计的模型参数和模型预测中的不确定性。该研究利用先进的统计工具和新颖的生物信息学方法，在半机械生态模型的背景下合成各种解剖，建筑和生理植物数据。结果被用来改善陆地尺度关系，并有助于提高预测能力，估计区域和全球的木本植物和木本植物占主导地位的生态系统的碳和水的预算。培训目标是通过现代统计方法，模型实施和验证技术以及生态学中的缩放应用的高级培训，获得进行跨学科研究的能力。