Collaborative Research: Demographic Hyeterogeneity within Populations and its Consequences

合作研究：人群内的人口异质性及其后果

• 批准号: 0614468
• 负责人: Gordon Fox
• 金额: --
• 依托单位: University of South Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-15 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0614468&HistoricalAwards=false
• 关键词: Collaborative; Research; Demographic; Hyeterogeneity; within

This study will use models to ask how individual variation in survival and reproductive rates affects population extinction risk. The investigators will examine both genetic and environmental causes of variation in demographic rates. They will develop a method for modeling growth of populations in which individuals vary in their growth rates and their birth and death rates. They will use the extensive body of research on these rates in plant populations, by compiling a database from published and unpublished research on this topic. Statistical analyses of the data will allow conclusions about the pervasiveness of variation in demographic rates.This research is important because models from demography are used widely in conservation, epidemiology, wildlife management, control of weeds and pest animals, and in social policy. Almost uniformly, these models treat individuals in a population - after accounting for differences due to sex, age, or size - as though they all have the same chances of surviving or giving birth. Recent research has shown that sometimes this assumption of homogeneity within populations can lead to substantial errors when estimating population growth rates and extinction risks. A key aim is to develop methods that help researchers determine when they need to account for demographic variation.

这项研究将使用模型来研究生存率和繁殖率的个体差异如何影响种群灭绝风险。研究人员将调查人口统计学比率变化的遗传和环境原因。他们将开发一种方法来模拟人口的增长，其中个体的增长率和出生率和死亡率各不相同。他们将利用植物种群中这些比率的广泛研究，通过汇编关于这一主题的已发表和未发表研究的数据库。数据的统计分析将允许人口率的变化的普遍性的结论。这项研究是重要的，因为从人口模型被广泛用于保护，流行病学，野生动物管理，杂草和害虫动物的控制，并在社会政策。这些模型几乎一致地将群体中的个体--在考虑了性别、年龄或体型的差异后--视为他们都有相同的生存或生育机会。最近的研究表明，在估计种群增长率和灭绝风险时，这种种群内同质性的假设有时会导致重大错误。一个关键目标是开发方法，帮助研究人员确定何时需要考虑人口统计学差异。