NSF Postdoctoral Fellowship in Biology FY 2010

2010 财年 NSF 生物学博士后奖学金

• 批准号: 1003038
• 负责人: Annika Walters
• 金额: $ 12.3万
• 依托单位: Walters Annika
• 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=1003038&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 "Plankton phenology: how shifts at the species level propagate through a lake ecosystem." for Annika Walters. The host institution for this research is The University of Washington, and the sponsoring scientist is Daniel E. Schindler. Ecological dynamics are strongly influenced by climatic conditions. In lakes, warmer water temperatures can shift the timing of key physical processes, including spring ice-breakup and thermal stratification, which can affect the phenology of freshwater plankton species. The challenge is to understand how climate driven effects, for example shifts in the timing of peak abundance for a phytoplankton species, propagate through complex communities. Inter-specific interactions may cause species level impacts to quickly dampen out or to transmit broadly to have effects at the ecosystem level. This study utilizes a 48 year dataset of phytoplankton and zooplankton species abundances from Lake Washington, which has experienced a 1.4 °C increase in water temperature. The aim is to explore variation between species level and aggregate community and ecosystem level responses of plankton to warming. An understanding of how responses "scale up" can inform efforts to detect ecosystem impacts associated with climate change.Training goals include developing advanced skills in statistical analysis and modeling. The project will utilize a variety of time-series analysis techniques including dynamic linear models, multivariate autoregressive models, and spectral analysis. The study contributes to our understanding of climate change and provides opportunities for mentoring undergraduate students. The research supports long-term data collection at Lake Washington and the results will be presented at local lake association meetings, in addition to national scientific meetings and through publications.

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。该奖学金支持一项名为“浮游生物物候学：物种水平的变化如何在湖泊生态系统中传播”的研究和培训计划。这项研究的主办机构是华盛顿大学，赞助科学家是丹尼尔·e·辛德勒。生态动力学受到气候条件的强烈影响。在湖泊中，水温升高可以改变关键物理过程的时间，包括春季破冰和热分层，这可以影响淡水浮游生物物种的物候。挑战在于了解气候驱动的影响如何在复杂的群落中传播，例如浮游植物物种丰度高峰时间的变化。种间相互作用可能导致物种层面的影响迅速减弱或广泛传播，从而在生态系统层面产生影响。本研究利用了华盛顿湖48年的浮游植物和浮游动物物种丰度数据集，该湖的水温上升了1.4°C。目的是探讨浮游生物在物种水平、群落水平和生态系统水平对变暖的响应之间的变化。了解响应是如何“扩大”的，可以为检测与气候变化相关的生态系统影响提供信息。培训目标包括发展统计分析和建模方面的高级技能。该项目将利用各种时间序列分析技术，包括动态线性模型、多元自回归模型和光谱分析。这项研究有助于我们对气候变化的理解，并为指导本科生提供了机会。这项研究支持华盛顿湖的长期数据收集，研究结果将在当地湖泊协会会议、国家科学会议和出版物上公布。