QEIB: Novel Approaches to Plankton Seasonal Succession

QEIB：浮游生物季节演替的新方法克里斯托弗·A·克劳斯梅尔佐治亚理工学院研究公司-GA理工学院Plankton是构成大多数水生食物网基础的微小动植物。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，然后在冬天死亡或形成休眠阶段。这种环境变化导致物种在整个生长季节有规律的演替，称为季节性演替。尽管浮游生物的季节演替长期以来一直令浮游生物生态学家着迷，但很少有人尝试对这一过程进行数学建模。该项目将结合数学建模、实验室实验和对一系列瑞士湖泊的长期数据进行分析，研究季节演替。虽然重点放在浮游生物群落上，但这项研究将阐明受波动环境影响的其他生态系统。21世纪的生物学正变得越来越量化。该项目将改善理论生态学的教学，并为研究生和本科生提供数量生态学的研究机会。它将允许经验和理论生态学家以及数学家之间的合作，加强佐治亚理工学院的跨学科联系，并让本科生参与进来，特别关注从当地历史上有黑人背景的机构招聘人才。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。该项目将提供对其动态的基本见解，从而能够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.