Nutrient cycle

Ecology

Context (archaeology)

Biome

Biology

Biosphere

Plant ecology

Ecosystem

Paleontology

Biogeochemical cycle

Nature Ecology & Evolution

One of the most distinct but unresolved global patterns is the apparent variation in plant–symbiont nutrient strategies across biomes. This pattern is central to our understanding of plant–soil–nutrient feedbacks in the land biosphere, which, in turn, are essential for our ability to predict the future dynamics of the Earth system. Here, we present an evolution-based trait-modelling approach for resolving (1) the organization of plant–symbiont relationships across biomes worldwide and (2) the emergent consequences for plant community composition and land biogeochemical cycles. Using game theory, we allow plants to use different belowground strategies to acquire nutrients and compete within local plant–soil–nutrient cycles in boreal, temperate and tropical biomes. The evolutionarily stable strategies that emerge from this analysis allow us to predict the distribution of belowground symbioses worldwide, the sequence and timing of plant succession, the bistability of ecto- versus arbuscular mycorrhizae in temperate and tropical forests, and major differences in the land carbon and nutrient cycles across biomes. Our findings imply that belowground symbioses have been central to the evolutionary assembly of plant communities and plant–nutrient feedbacks at the scale of land biomes. We conclude that complex global patterns emerge from local between-organism interactions in the context of Darwinian natural selection and evolution, and that the underlying dynamics can be mechanistically probed by our low-dimensional modelling approach. Developing a modelling approach based on evolutionary game theory, the authors are able to successfully predict global patterns in belowground plant–symbiont distributions across biomes, as well as major patterns in nutrient cycling, succession and stability.

Global plant–symbiont organization and emergence of biogeochemical cycles resolved by evolution-based trait modelling