Integrating Ecological and Evolutionary Processes in Stochastic Biogeographical Models

将生态和进化过程整合到随机生物地理模型中

• 批准号: 0639979
• 负责人: Robert Colwell
• 金额: $ 20.76万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-02-15 至 2011-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0639979&HistoricalAwards=false
• 关键词: Integrating; Ecological; Evolutionary; Processes; Stochastic

The causes of geographic variation in the number of species have long been debated, but we still lack a clear understanding of how spatial patterns of species diversity arise. Some attempt to explain them as a function of environmental variables, while others emphasize the role of earth history. Recent advances in simulation and mathematical models highlight random processes. The proposed work integrates all these approaches, by modeling the origin, adaptive shifts, and extinction of species' ranges in both space and time, using high-quality datasets for species distributions of several groups of organisms and detailed continental maps derived from remote sensing of Earth environments.Regional and global perspectives in ecology represent a rapidly growing group of related disciplines that build on past advances in understanding local ecological systems. The proposed work uses advanced contemporary computational technologies to support the interpretation and modeling of ecological systems at spatial scales and resolutions unimaginable just a decade ago. The reality of global climate change places urgent demands on scientists to predict and prepare for ecological and evolutionary effects of extinctions and shifts in species' geographic ranges, and to design reserves and corridors that mitigate range shifts driven by climate change. The work proposed aims to provide essential tools for this objective.

物种数量的地理变异的原因长期以来一直存在争议，但我们仍然缺乏对物种多样性空间格局的清晰理解。有些人试图将它们解释为环境变量的函数，而另一些人则强调地球历史的作用。最近在模拟和数学模型方面的进展突出了随机过程。拟议的工作整合了所有这些方法，通过模拟物种在空间和时间上的起源，适应性变化和灭绝，使用高-几组生物物种分布的高质量数据集和从地球环境遥感中获得的详细大陆地图。生态学的区域和全球视角代表了一组快速增长的相关学科，这些学科建立在过去对生态学的认识上当地生态系统。拟议的工作使用先进的当代计算技术来支持在空间尺度和分辨率上对生态系统的解释和建模，这在十年前是不可想象的。全球气候变化的现实迫切要求科学家预测和准备物种地理范围的变化和变化的生态和进化影响，并设计保护区和走廊，以减轻气候变化造成的范围转移。拟议的工作旨在为实现这一目标提供必要的工具。