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Dryad

Data from: Geographical variation in community divergence: insights from tropical forest monodominance by ectomycorrhizal trees

Cite this dataset

Fukami, Tadashi et al. (2017). Data from: Geographical variation in community divergence: insights from tropical forest monodominance by ectomycorrhizal trees [Dataset]. Dryad. https://doi.org/10.5061/dryad.c0kr7

Abstract

Convergence occurs in both species traits and community structure, but how convergence at the two scales influences each other remains unclear. To address this question, we focus on tropical forest monodominance, in which a single, often ectomycorrhizal (EM) tree species occasionally dominates forest stands within a landscape otherwise characterized by diverse communities of arbuscular mycorrhizal (AM) trees. Such monodominance is a striking potential example of community divergence resulting in alternative stable states. However, it is observed only in some tropical regions. A diverse suite of AM and EM trees locally codominate forest stands elsewhere. We develop a hypothesis to explain this geographical difference using a simulation model of plant community assembly. Simulation results suggest that in a region with a few EM species (e.g., South America), EM trees experience strong selection for convergent traits that match the abiotic conditions of the environment. Consequently, EM species successfully compete against other species to form monodominant stands via positive plant-soil feedbacks. By contrast, in a region with many EM species (e.g., Southeast Asia), species maintain divergent traits because of complex plant-soil feedbacks, with no species having traits that enable monodominance. An analysis of plant trait data from Borneo and Peruvian Amazon was inconclusive. Overall, this work highlights the utility of geographical comparison in understanding the relationship between trait convergence and community convergence.

Usage notes

Funding

National Science Foundation, Award: DEB-1555786, DEB-1249342, RAPID-1361171

Location

Malaysia
Peru