The Community-Level Consequences of Species Interactions: Null Community Experiments With Annual Plants

物种相互作用的群落水平后果：一年生植物的零群落实验

• 批准号: 9629723
• 负责人: Deborah Goldberg
• 金额: $ 27.6万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-08-01 至 2000-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9629723&HistoricalAwards=false
• 关键词: Community; Level; Consequences; Species; Interactions

9629723 GOLDBERG This research will examine the effects of competition among plant for limited resources such as light and water at the level of the entire community. While competitive effects on individual plant performance are well known, the general effects of competition on diverse and complex communities are much more poorly understood. Using desert annual plant communities as a model system, we will conduct a series of garden and field experiments to manipulate the density of entire plant communities to determine how competitive interactions lead to change in species' abundances and biodiversity. The experiments will mimic a natural rainfall gradient from a desert to a much wetter Mediterranean climate so that we can also investigate how the influence of competition changes among environments. Because models of global climatic change predict major shifts in precipitation patterns, these data are directly relevant to general models of how vegetation will respond to global environmental change.

本研究将在整个群落水平上考察植物间对有限资源（如光和水）竞争的影响。虽然竞争对单个植物性能的影响是众所周知的，但竞争对多样化和复杂群落的一般影响却知之甚少。以荒漠一年生植物群落为模型系统，我们将进行一系列的庭园和田间实验来控制整个植物群落的密度，以确定竞争相互作用如何导致物种丰度和生物多样性的变化。实验将模拟从沙漠到更湿润的地中海气候的自然降雨梯度，这样我们也可以研究环境之间竞争的影响是如何变化的。由于全球气候变化模型预测降水模式的重大变化，这些数据与植被如何响应全球环境变化的一般模型直接相关。