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Biodiversity and ecosystem function: making sense of numerous species interactions in multi-species communities

机译:生物多样性和生态系统功能:在多种社区中的众多物种相互作用

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Understanding the biodiversity and ecosystem function relationship can be challenging in species-rich ecosystems. Traditionally, species richness has been relied on heavily to explain changes in ecosystem function across diversity gradients. Diversity-Interactions models can test how ecosystem function is affected by species identity, species interactions, and evenness, in addition to richness. However, in a species-rich system, there may be too many species interactions to allow estimation of each coefficient, and if all interaction coefficients are estimable, they may be devoid of any sensible biological meaning. Parsimonious descriptions using constraints among interaction coefficients have been developed but important variability may still remain unexplained. Here, we extend Diversity-Interactions models to describe the effects of diversity on ecosystem function using a combination of fixed coefficients and random effects. Our approach provides improved standard errors for testing fixed coefficients and incorporates lack-of-fit tests for diversity effects. We illustrate our methods using data from a grassland and a microbial experiment. Our framework considerably reduces the complexities associated with understanding how species interactions contribute to ecosystem function in species-rich ecosystems.
机译:了解生物多样性和生态系统函数关系可能是富含物种的生态系统挑战。传统上,物种丰富性依赖于庞大,解释各种梯度的生态系统函数的变化。多样性交互模型可以测试生态系统功能如何受物种身份,物种相互作用和均匀性的影响。然而,在富含物种的系统中,可能存在太多物种相互作用以允许估计每个系数,并且如果所有相互作用系数是可估计的,则它们可能没有任何明智的生物学意义。已经开发了使用相互作用系数之间的约束的解析描述,但重要的可变性仍然可以仍然无法解释。在这里,我们扩展了多样性交互模型来描述使用固定系数和随机效应的组合来描述多样性对生态系统函数的影响。我们的方法提供了改进的标准误差,用于测试固定系数,并含有缺乏适合的分集效果的测试。我们用来自草地和微生物实验的数据说明了我们的方法。我们的框架大大减少了与了解物种相互作用如何在物种丰富的生态系统中有助于生态系统函数的复杂性。

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