LTER Cross-site: Collaborative Research - Assessing the Geographic and Temporal Consistency of Life History and Demographic Patterns: A Long-term, Multi-site Comparison

LTER 跨站点：协作研究 - 评估生活史和人口统计模式的地理和时间一致性：长期、多站点比较

• 批准号: 0087078
• 负责人: Daniel Doak
• 金额: $ 22.54万
• 依托单位: University of California-Santa Cruz
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-10-01 至 2007-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0087078&HistoricalAwards=false
• 关键词: LTER; Cross; site; Collaborative; Research

0087078DoakEcologists increasingly understand the importance of spatial variability in natural systems, a recognition that led to the creation of the LTER network. However, we still know surprisingly little about spatial variation in the demography of individual species, creating an important gap in knowledge for both applied and basic ecology. The paucity of full demographic studies that span multiple populations across substantial geographic scales creates two general problems. First, population biologists are forced to extrapolate from the population dynamics and life history patterns found in single, well-studied populations to those occurring in distant parts of a species range. Such extrapolation is commonplace in conservation biology, comparative life history analysis, and climate change predictions, and is currently done with little understanding of how much spatial variation actually exists in the demography of individual species. Second is the question of what sets the range limits of species. While the physiological effects of climate are often well-known, the lack of broad-scale demographic studies makes it less clear how population dynamics vary near range limits, and thus the extent to which poor demographic performance versus other proposed factors, such as metapopulation dynamics, determine the distributional limits of species. As a result, we have little ground for building mechanistic predictions about how species ranges will shift as climate changes.

0087078Doak生态学家越来越了解自然系统中空间变异的重要性，这一认识导致了LTER网络的创建。然而，我们仍然对单个物种人口统计学的空间变化知之甚少，这在应用生态学和基础生态学的知识方面造成了重要的差距。由于缺乏涵盖大量地理范围内多个人群的完整人口统计研究，造成了两个普遍问题。首先，种群生物学家不得不从单一的、经过充分研究的种群中发现的种群动态和生活史模式推断出发生在一个物种范围的遥远部分的种群。这种外推法在保护生物学、比较生活史分析和气候变化预测中很常见，目前对单个物种的人口统计学中实际存在多少空间变化的了解很少。第二个问题是什么决定了物种的分布范围。虽然气候的生理影响往往是众所周知的，但由于缺乏大规模的人口研究，人们不太清楚种群动态在接近范围限制时如何变化，因此，人口统计学表现与其他拟议因素（如集合种群动态）相比，在多大程度上决定了物种的分布限制。因此，我们几乎没有理由建立关于物种范围将如何随着气候变化而变化的机械预测。