Trait-based modelling to explore processes underlying diversity-functioning relationships

基于特征的建模来探索多样性功能关系背后的过程

• 批准号: 172169705
• 负责人: Professor Dr. Christian Wirth
• 金额: --
• 依托单位: Grassland Ecosystem Research (INRA)
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2010
• 资助国家: 德国
• 起止时间: 2009-12-31 至 2013-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/172169705?language=en
• 关键词: Trait; based; modelling; explore; processes

Current problems in confidently predicting individual, community and ecosystem performance in the Jena Experiment point to our limited understanding of how plant traits translate into functioning. Our general objective is to link plant species traits to the functioning of grassland ecosystems in the context of the Jena Experiment. We propose three complementary modelling approaches that are apt to use the abundantly available information on traits and functions in the context of the Jena experiment to elucidate mechanisms underlying diversity-functioning relationships: (1) We will develop a statistical framework that explores the effect of traits and trait correlations on processes operating at different levels of integration. To this aim, we will estimate functional tradeoffs using non-linear dimensionality reductions and use the resulting manifolds to calculate complementarity, identity and distinctiveness of mixtures. The relationships to functions emerging at the individual, community and ecosystem level will be explored using variance partitioning and hierarchical Bayesian modelling. (2) We will explore how the structure of interaction networks characterized by interaction and connectivity matrices in Lotka-Volterra models parameterized from trait information and experimental data evoke different diversity-functioning mechanisms and (3) will apply a mechanistic model (GEMINI) in order to develop a system of predictions how traits translate into patterns of functioning and how trait correlations respond plastically along complementarity gradients. The design of the new experiment was tailored to support these three approaches.

目前在耶拿实验中自信地预测个体、社区和生态系统表现的问题表明，我们对植物性状如何转化为功能的理解有限。我们的总体目标是在耶拿实验的背景下，将植物物种特征与草原生态系统的功能联系起来。我们提出了三种互补的建模方法，易于使用大量可用的信息的特性和功能的背景下的耶拿实验，阐明机制的多样性功能的关系：（1）我们将开发一个统计框架，探讨的影响，性状和性状的相关性在不同水平的集成操作的过程。为了这个目标，我们将使用非线性降维估计功能权衡，并使用由此产生的流形来计算互补性，身份和独特的混合物。将利用方差划分和分层贝叶斯模型探讨在个人、社区和生态系统层面出现的功能之间的关系。(2)我们将探讨在Lotka-Volterra模型中，由性状信息和实验数据参数化的相互作用和连接矩阵所表征的相互作用网络的结构如何引起不同的多样性功能机制;（3）将应用一个机制模型（GEMINI），以开发一个预测系统，预测性状如何转化为功能模式，以及性状相关性如何沿着沿着梯度进行可塑性响应。新实验的设计是为了支持这三种方法。