Seed Dispersal Workshop Proposal; Annapolis, MD - Spring, 2016

种子传播研讨会提案；

基本信息

批准号：
1548194
负责人：
Noelle Beckman
金额：
$ 4.99万
依托单位：
University of Maryland, College Park
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-01 至 2019-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1548194&HistoricalAwards=false
关键词：
Seed Dispersal Workshop Proposal Annapolis

项目摘要

Dispersal is a key process in the spread of populations, in biodiversity patterns from local to global scales, in gene flow and potential adaptation in novel environments, and in species responses to global change. Global change processes, such as climate change and fragmentation, alter local habitat conditions of species, and also the ecology and evolution of dispersal. These changes affect the ability of species to move or adapt in response to these processes. This workshop will assemble a diverse group of ecologists and mathematical biologists who study dispersal across scales, methodologies, and systems and who will bring together knowledge of existing empirical information, theoretical concepts, and mathematical approaches. The primary outcome of the workshop will be an evaluation of how data can be integrated with theoretical predictions and novel analytical, computational, and statistical advances for studying dispersal. The outcome will contribute to the ability to respond to global change. Collaborations among scientists will also be fostered.A workshop will identify current gaps in our understanding of the role of seed dispersal in plant populations and determine how to address these outstanding gaps in order to move towards a predictive understanding of plant populations under global change. Seed dispersal ecology is largely based on short-term, local-scale empirical studies for a small number of species or on theoretical dispersal models that often make simplified assumptions. These factors limit generality the ability to make quantitative predictions. By integrating data with models, the workshop will lead to computer experiments to a) gain a mechanistic understanding of the role of dispersal in plant population dynamics; b) test theoretical predictions using empirical data; and c) conduct sensitivity analyses to determine the robustness of conclusions to the type of available data, to missing data, and to different types of models. Gaps in knowledge and obstacles to progress will be identified, and scientific networking will be enhanced.

扩散是种群扩散、从地方到全球范围的生物多样性模式、基因流动和新环境中的潜在适应以及物种对全球变化的反应的关键过程。全球变化过程，例如气候变化和碎片化，改变了物种的当地栖息地条件，也改变了生态和扩散的进化。这些变化影响物种响应这些过程而移动或适应的能力。本次研讨会将聚集一群不同的生态学家和数学生物学家，他们研究跨尺度、方法论和系统的扩散，并将汇集现有经验信息、理论概念和数学方法的知识。研讨会的主要成果将是评估如何将数据与理论预测以及研究扩散的新颖分析、计算和统计进展相结合。结果将有助于提高应对全球变化的能力。科学家之间的合作也将得到促进。研讨会将确定我们目前对种子传播在植物种群中的作用的理解方面的差距，并确定如何解决这些突出的差距，以便对全球变化下的植物种群做出预测性的了解。种子传播生态学主要基于对少数物种的短期、局部规模的实证研究或基于经常做出简化假设的理论传播模型。这些因素限制了进行定量预测的一般性能力。通过将数据与模型相结合，研讨会将进行计算机实验，以a）从机械角度理解分散在植物种群动态中的作用； b) 使用经验数据测试理论预测； c) 进行敏感性分析，以确定结论对可用数据类型、缺失数据和不同类型模型的稳健性。将查明知识差距和进步障碍，并加强科学网络。