LTREB: Abundance and Phenology of Rocky Mountain Flowering Plants and Their Pollinators

LTREB：落基山开花植物及其传粉者的丰度和物候学

• 批准号: 9408382
• 负责人: David Inouye
• 金额: $ 4.5万
• 依托单位: Rocky Mountain Biological Laboratory
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-08-15 至 1997-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9408382&HistoricalAwards=false
• 关键词: LTREB; Abundance; Phenology; Rocky; Mountain

9408382 Inouye The value of long-term biological data sets has been increasingly recognized in recent years, for the insights that they can provide on the dynamics of population biology, the frequency of unusual events, the consequences of climate change, and the nature of interactions among species. Despite this recognition that number of long-term data sets available for analysis is still quite small. One reason for this paucity is that generation of such data sets typically involves long-term monitoring, which may be show (especially at the rate of 1 datum/yr) to generate data necessary before hypotheses can be tested, manipulative experiments designed, or publications produced. This project will extend collection of data on several aspects of the ecology of herbaceous plants in the Colorado Rocky Mountains, including the abundance and phenology of flowering and the abundance and seasonality of insect pollinators. Approximately 100 species of plants will be included in this study. This project builds on a continuing endeavor that began in 1973 at the Rocky Mountain Biological Laboratory, and already provides one of the longest available data sets on flowering. Data from the existing data set have been included in three recent publications. The data will be accessible and of interest to a large number of active researchers.

小行星9408382 近年来，人们日益认识到长期生物数据集的价值，因为它们可以提供关于种群生物学动态、异常事件频率、气候变化后果以及物种间相互作用性质的见解。 尽管认识到这一点，但可供分析的长期数据集数量仍然很少。 这种缺乏的一个原因是，这类数据集的生成通常涉及长期监测，这可能表明（特别是以1个数据/年的速度）在假设可以被测试之前生成必要的数据，设计操纵实验，或出版物。 该项目将扩大收集科罗拉多落基山脉草本植物生态学几个方面的数据，包括开花的丰度和物候以及昆虫传粉者的丰度和季节性。 本研究将包括大约100种植物。 该项目建立在落基山生物实验室于1973年开始的持续奋进的基础上，并且已经提供了最长的开花数据集之一。 现有数据集中的数据已列入最近的三份出版物。 大量活跃的研究人员将能够获得这些数据并对其感兴趣。