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Structural equation modeling approach to the diversity-productivity relationship of Wadden Sea phytoplankton

机译:沃登海浮游植物多样性-生产力关系的结构方程建模方法

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摘要

Biodiversity-ecosystem functioning (BEF) research has been a major topic in ecology for over 2 decades, and recent meta-analyses have confirmed biodiversity to be a driver of eco-system processes and services. To date, the vast majority of BEF studies have been conducted experimentally, and it is unclear whether their outcomes can be transferred to natural communities and ecosystems. The major challenge faced in the analysis of observational data is to incorporate direct and indirect processes which influence the response variable of interest. Consequently, the statistical methods used to analyze such relationships must accommodate the multivariate nature of these data. One multivariate approach, viz. structural equation modeling, has already been applied to BEF research in terrestrial and freshwater ecosystems. In this study, we applied a structural equation model to monitoring data on marine phytoplankton communities, including data on environmental parameters, community structure, and measures of productivity. Our aim was to ascertain whether similar patterns and processes driving BEF relationships as described for other ecosystem types are evident in marine phytoplankton communities. We found that different aspects of biodiversity (richness, evenness) are significantly linked to ecosystem functions (productivity, resource use efficiency). These relationships are embedded in a multitude of direct and indirect links between environmental factors, community diversity, and productivity. Overall, our analysis confirms patterns observed in terrestrial and freshwater ecosystems and highlights the importance of incorporating multivariate methods for a better understanding of BEF processes in natural ecosystems.
机译:在过去的20多年中,生物多样性-生态系统功能(BEF)研究一直是生态学的一个主要主题,最近的荟萃分析已确认生物多样性是生态系统过程和服务的驱动力。迄今为止,绝大多数BEF研究都是通过实验进行的,目前尚不清楚其结果是否可以转移到自然界和生态系统中。观测数据分析面临的主要挑战是将影响感兴趣的响应变量的直接和间接过程结合在一起。因此,用于分析此类关系的统计方法必须适应这些数据的多变量性质。一种多元方法,即。结构方程建模已被应用于陆地和淡水生态系统的BEF研究。在这项研究中,我们将结构方程模型应用于监测海洋浮游植物群落的数据,包括有关环境参数,群落结构和生产力度量的数据。我们的目的是确定在海洋浮游植物群落中是否存在与其他生态系统类型类似的驱动BEF关系的模式和过程。我们发现,生物多样性的不同方面(丰富性,均匀性)与生态系统功能(生产力,资源利用效率)有着显着的联系。这些关系嵌入在环境因素,社区多样性和生产力之间的许多直接和间接联系中。总体而言,我们的分析证实了在陆地和淡水生态系统中观察到的模式,并强调了纳入多变量方法以更好地了解自然生态系统中BEF过程的重要性。

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