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The experimental design explicitly addresses criticisms provoked by previous biodiversity experiments.
The relationship between diversity and ecosystem functioning is often studied by biodiversity experiments.
Biodiversity experiments are a recent complement to observational studies, which examine the correlation between biodiversity and ecosystem processes across landscapes.
We compared data required and results given by these traditional and linear-model-based methods using three data sets: a simulated data set and two pot biodiversity experiments.
Biodiversity experiments are designed to identify how ecosystem functioning is affected by changes in diversity that can occur due to the decline, extinction, or invasion of species.
The richness of diversity in most ecosystems, and the wide range of ecosystem services that they provide have meant that a key feature of biodiversity experiments is their large scale.
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Here, we studied the effects of plant species richness, plant trait diversity, and single plant functional traits related to spatial and temporal resource acquisition on soil microbial properties over five years in a grassland biodiversity experiment.
The observation of decreasing productivity capacity with increasing mixtures is confirmed by a biodiversity experiment of Van der Plas et al. (2016a) who compared European forest types and found the highest levels of ecosystem functions related to production for monocultures of Picea abies.
The Jena Experiment is a large biodiversity experiment established on a former agricultural field in 2002.
This study was conducted as part of the Jena Experiment, a temperate grassland biodiversity experiment in Jena, Germany [35].
In the summers of 2007 and 2008, we measured leaf traits in the Cedar Creek biodiversity experiment [E120].
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