Collaborative Research: Seed Dispersal by Wind and Plant Recruitment in Tropical Forests -- an Interdisciplinary Investigation Across Multiple Scales

合作研究：热带森林中的风传播种子和植物补充——多尺度的跨学科研究

• 批准号: 0453445
• 负责人: Jennifer Powers
• 金额: --
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-04-15 至 2009-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0453445&HistoricalAwards=false
• 关键词: Collaborative; Research; Seed; Dispersal; Wind

Collaborative Research: Seed dispersal by wind and plant recruitment in tropical forests - an interdisciplinary investigation across multiple scales Helene C. Muller-LandauUniversity of Minnesota-Twin CitiesThis project develops and tests models of seed dispersal by wind and applies those models to investigate the importance of seed dispersal in tropical forests. Seed dispersal is recognized as a very important ecological process, and yet ecologists still know very little about seed dispersal patterns and their particular influences in plant communities. This research builds on recent advances in atmospheric modeling and genetic techniques, using an interdisciplinary team with a history of successful collaboration to develop, test and apply the next generation of atmospheric models of seed dispersal by wind. The mechanistic seed dispersal models developed here will be the first to incorporate the effects of spatial heterogeneity and complex topography, and will cover an unprecedented range of spatial and temporal scales. The study site, Barro Colorado Island in Panama, offers a unique combination of a highly diverse group of wind-dispersed plant species and extensive relevant long-term and large-scale datasets. In combination, this makes possible an unprecedented investigation of the importance of seed dispersal, including examination of its importance in determining individual species abundances and of its contribution to the maintenance of species diversity. The models developed as part of this research will be broadly applicable to wind-dispersed species worldwide, and will constitute an important new tool for conservation and management. These models will be useful, for example, for predicting invasion rates of exotic species, responses to range shifts due to climate change, and the effects of habitat fragmentation. All results, including these models, will be made publicly available.

协作研究：热带森林中的风和植物招募种子 - 对明尼苏达州Twin Citiesthis Project的多个尺度进行的跨学科研究，开发和测试了通过风的种子分散模型，并应用了这些模型，以调查种子分散在自然森林中的重要性。 种子散布被认为是一个非常重要的生态过程，但生态学家仍然对种子分散模式及其在植物群落中的特殊影响知之甚少。 这项研究以大气建模和遗传技术的最新进展为基础，使用具有成功合作历史的跨学科团队，以开发，测试和应用下一代大气的种子分散大气模型。 这里开发的机械种子分散模型将是第一个结合空间异质性和复杂地形的影响的机械种子，并将涵盖空间和时间尺度的前所未有的范围。 研究地点是巴拿马的Barro Colorado岛，提供了一组高度多样化的风种植物物种以及广泛相关的长期和大规模数据集的独特组合。结合起来，这使得对种子分散的重要性进行了前所未有的研究，包括研究其在确定单个物种丰度的重要性及其对维持物种多样性的贡献。 作为这项研究的一部分开发的模型将广泛适用于全球风散发物种，并将构成一种重要的保护和管理工具。这些模型将很有用，例如预测外来物种的入侵率，对气候变化引起的范围变化的反应以及栖息地碎片的影响。 包括这些模型在内的所有结果，都将公开可用。