Community dynamics of soil-borne fungal communities along elevation gradients in neotropical and palaeotropical forests.

Journal Article (Journal Article)

Because of their steep gradients in abiotic and biotic factors, mountains offer an ideal setting to illuminate the mechanisms that underlie patterns of species distributions and community assembly. We compared the composition of taxonomically and functionally diverse fungal communities in soils along five elevational gradients in mountains of the Neo- and Palaeotropics (northern Argentina, southern Brazil, Panama, Malaysian Borneo and Papua New Guinea). Both the richness and composition of soil fungal communities reflect environmental factors, particularly temperature and soil pH, with some shared patterns among neotropical and palaeotropical regions. Community dynamics are characterized by replacement of species along elevation gradients, implying a relatively narrow elevation range for most fungi, which appears to be driven by contrasting environmental preferences among both functional and taxonomic groups. For functional groups dependent on symbioses with plants (especially ectomycorrhizal fungi), the distribution of host plants drives richness and community composition, resulting in important differences in elevational patterns between neotropical and palaeotropical montane communities. The pronounced compositional and functional turnover along elevation gradients implies that tropical montane forest fungi will be sensitive to climate change, resulting in shifts in composition and functionality over time.

Full Text

Duke Authors

Cited Authors

  • Geml, J; Arnold, AE; Semenova-Nelsen, TA; Nouhra, ER; Drechsler-Santos, ER; Góes-Neto, A; Morgado, LN; Ódor, P; Hegyi, B; Oriol, G; Ibáñez, A; Tedersoo, L; Lutzoni, F

Published Date

  • April 2022

Published In

Volume / Issue

  • 31 / 7

Start / End Page

  • 2044 - 2060

PubMed ID

  • 35080063

Electronic International Standard Serial Number (EISSN)

  • 1365-294X

International Standard Serial Number (ISSN)

  • 0962-1083

Digital Object Identifier (DOI)

  • 10.1111/mec.16368


  • eng