Many ecological processes benefit from biodiversity, with evidence spanning experimental and natural ecosystems across the globe. Species interactions across multiple trophic levels are expected to play a crucial mechanistic role in this relationship, yet evidence remains rare and limited to few types of interactions.
To generalize how species interactions mediate effects of biodiversity, I assembled comprehensive interaction data from a large-scale forest biodiversity experiment in subtropical China, the BEF-China experiment. Specifically, I constructed and analyzed species interaction networks for 11 types of mutualistic and antagonistic interactions (e.g. mycorrhiza-plant, parasitoid-host). By quantifying their structural characteristics, I was then able to investigate how biodiversity determines the way species interact, and how species interactions modify ecosystem multifunctionality (i.e. multiple process rates such as primary production and herbivory). Additionally, I identified how species interactions contribute to buffering extinction cascades and thus determine the maintenance of biodiversity.
The analyses reveal two major properties of species interactions that are crucial for ecosystems. First, a higher number of interactions per species not only increases the risk of secondary extinction but also reduces ecosystem multifunctionality. Second, a higher degree of shared interaction partners between species minimizes extinction risks and enhances ecosystem multifunctionality. These findings suggest a tight association between stabilizing mechanisms and ecosystem process rates that comes about through species interactions.
Taken together, my findings provide evidence for the consequences of species interactions for ecosystems, which will serve as a foundation to discuss why we should and how we can work towards identifying their causes.