Trait-based community assembly / Assemblage des communautés par des traits

基于特质的社区集会 / Assemblage des communautés par des Traits

• 批准号: 137211-2009
• 负责人: Shipley, BillJohnWilliam
• 金额: $ 2.48万
• 依托单位: Université de Sherbrooke
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=522312
• 关键词: Trait; based; community; assembly; Assemblage

A community of plant species consists of all those species occurring together in an area small enough to allow individuals of these species to interact. The "rules" that determine which species will not be found together, which will be found together, and which of these species will be dominant or rare, are termed "assembly rules". The objective of this research program is to test and refine a mathematical model that I have previously developed that specifies these assembly rules in mathematical form. The model uses a method from statistical physics (Maximum Entropy Formalism) using community-averaged values of plant functional traits. These average traits are derived from the principle of natural selection and from quantitative genetics. One important extension of the model is to extend it to ecosystem processes such as decomposition rates, carbon cycling and nutrient leeching. As such, this proposed synthetic research program incorporates methods and results from physiological and functional ecology, from statistical physics (Maximum Entropy Formalism), from quantitative genetics, and from community ecology. When completed, it will provide quantitative predictions of community and ecosystem processes.

植物群落由所有这些物种共同出现在一个足够小的区域内组成，这些物种的个体可以相互作用。决定哪些物种不会被发现在一起，哪些物种将被发现在一起，以及这些物种中的哪些将是优势种或稀有种的“规则”被称为“集合规则”。这个研究计划的目标是测试和改进我之前开发的一个数学模型，该模型以数学形式指定这些组装规则。该模型使用了统计物理学(最大熵形式主义)的方法，使用了植物功能性状的社区平均值。这些平均性状源于自然选择原理和数量遗传学。该模型的一个重要扩展是将其扩展到生态系统过程，如分解速度、碳循环和养分浸提。因此，这个拟议的综合研究计划结合了生理和功能生态学、统计物理学(最大熵形式主义)、数量遗传学和群落生态学的方法和结果。完成后，它将提供对社区和生态系统过程的定量预测。