QEIB: Community Dynamics and Diversification

QEIB：社区动态和多元化

• 批准号: 0313653
• 负责人: Joshua Kohn
• 金额: --
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-15 至 2009-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0313653&HistoricalAwards=false
• 关键词: QEIB; Community; Dynamics; Diversification

This research concerns the development of mathematical models integrating demographic and genetic mechanisms affecting the ecological and evolutionary dynamics of biological communities, including speciation, extinction, and phenotypic differentiation among populations and species. Research on these processes is usually pursued by independent investigators and relatively little effort has been made to understand their interactions. Integrating population demography with population genetic theory will be performed by employing established mathematical methods for describing and analyzing processes incorporating both deterministic and random components. The models will be applied to analyze data on several different groups of animals and plants using a variety of statistical methods.Improved knowledge of community dynamics and diversification is increasingly important as human population increases, with concomitant destruction and fragmentation of natural habitats, and consequent loss of biodiversity. The ability of societies to preserve and restore mechanisms generating and maintaining biological diversity will significantly impact quality of both human and animal life in the coming decades and centuries. This research includes a substantial training component for graduate students, and a network of national and international collaborators. Results of the research will be widely disseminated in public lectures, peer-reviewed scientific publications, and educational materials for undergraduate and graduate students.

这项研究涉及数学模型的发展，该模型整合了影响生物群落的生态和进化动态的人口统计学和遗传机制，包括种种，灭绝和人群和物种之间的表型分化。独立研究人员通常对这些过程进行研究，并且几乎没有努力了解他们的互动。将人口统计学与人群遗传理论融为一体，将通过采用既定的数学方法来描述和分析结合确定性和随机成分的过程。这些模型将使用多种统计方法应用于分析几个不同动物和植物的数据。随着人口的增加，对社区动态和多样化的知识越来越重要，随着自然栖息地的伴随破坏和碎片，以及随之而来的生物多样性丧失。在未来几十年和几个世纪以来，社会保存和恢复生物多样性产生和维持生物多样性的机制的能力将显着影响人类和动物生活的质量。这项研究包括针对研究生的大量培训组成部分，以及由国家和国际合作者组成的网络。该研究的结果将在公开讲座，经过同行评审的科学出版物以及本科生和研究生的教育材料中广泛传播。