QEIB: Novel Approaches to Plankton Seasonal Succession

QEIB：浮游生物季节性演替的新方法。克劳斯迈尔佐治亚理工研究公司-佐治亚理工学院浮游生物是微观植物和动物，形成大多数水生食物网的基础。 天气的季节性变化对浮游生物群落有重大影响。 在温带湖泊中，生物在温暖的月份生长，然后在冬季死亡或形成休眠阶段。 这种环境变化导致了物种在生长季节的有规律的演替，称为季节性演替。 虽然浮游生物生态学家长期以来一直对季节性演替很感兴趣，但很少有人试图用数学模型来模拟这一过程。 该项目将结合数学建模、实验室实验和对瑞士一系列湖泊的长期数据的分析来研究季节性演替。 虽然重点是浮游生物群落，这项研究将照亮其他生态系统，受到波动的环境。二十一世纪的生物学正变得越来越量化。 本计画将改善理论生态学的教学，并提供研究生与本科生在数量生态学的研究机会。 它将允许经验和理论生态学家和数学家之间的合作，加强格鲁吉亚理工学院的跨学科联系，并涉及本科生，特别注重从当地历史悠久的黑人机构招聘。 淡水生态系统对人类福祉至关重要，并受到人类活动的严重影响。 该项目将提供有关其动态的基本见解，这将有助于更好地管理湖泊生态系统。

QEIB: Novel Approaches to Plankton Seasonal Succession Christopher A. KlausmeierGeorgia Tech Research Corporation - GA Institute of TechnologyPlankton are the microscopic plants and animals that form the base of most aquatic food webs. Seasonal changes in weather have major effects on plankton communities. In temperate lakes, organisms grow during the warmer months, then die off or form resting stages in winter. This environmental variation leads to a regular succession of species over the growing season, called seasonal succession. Although seasonal succession has long fascinated plankton ecologists, there have been few attempts to model this process mathematically. This project will investigate seasonal succession with a combination of mathematical modeling, laboratory experiments, and analysis of long-term data from a range of Swiss lakes. Although the focus is on plankton communities, this research will illuminate other ecological systems that are influenced by a fluctuating environment.Twenty-first century biology is becoming increasingly quantitative. This project will improve the teaching of theoretical ecology and provide research opportunities in quantitative ecology for graduate and undergraduate students. It will allow collaboration between empirical and theoretical ecologists and mathematicians, strengthening interdisciplinary links at Georgia Tech, and involve undergraduate students with a special focus on recruiting from local historically black institutions. Freshwater ecosystems are essential to human well-being and are heavily impacted by human activities. This project will provide fundamental insights into their dynamics, which will allow better management of lake ecosystems.