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Evidence of scale-free clusters of vegetation in tropical rainforests

Pablo Villegas1,2,*, Tommaso Gili3, Guido Caldarelli4,5,6,7, and Andrea Gabrielli1,6,8

  • 1‘Enrico Fermi’ Research Center (CREF), Via Panisperna 89A, 00184 - Rome, Italy
  • 2Instituto Carlos I de Física Teórica y Computacional, Universidad de Granada, Granada E-18071, Spain
  • 3Networks Unit, IMT Scuola Alti Studi Lucca, Piazza San Francesco 15, 55100- Lucca, Italy.
  • 4DMSN, Ca' Foscari University of Venice, Via Torino 155, 30172 - Venice, Italy
  • 5European Centre for Living Technology (ECLT), Dorsoduro 3911, 30123 - Venice, Italy
  • 6Institute for Complex Systems (ISC), CNR, UoS Sapienza, Piazzale Aldo Moro 2, 00185 - Rome, Italy
  • 7London Institute for Mathematical Sciences (LIMS), W1K2XF London, United Kingdom
  • 8Dipartimento di Ingegneria Civile, Informatica e delle Tecnologie Aeronautiche, Università degli Studi ‘Roma Tre’, Via Vito Volterra 62, 00146 - Rome, Italy

  • *pablo.villegas@cref.it

Phys. Rev. E 109, L042402 – Published 19 April, 2024

DOI: https://doi.org/10.1103/PhysRevE.109.L042402

Abstract

Tropical rainforests exhibit a rich repertoire of spatial patterns emerging from the intricate relationship between the microscopic interaction between species. In particular, the distribution of vegetation clusters can shed much light on the underlying process that regulates the ecosystem. Analyzing the distribution of vegetation clusters at different resolution scales, we show the first robust evidence of scale-invariant clusters of vegetation, suggesting the coexistence of multiple intertwined scales in the collective dynamics of tropical rainforests. We use field data and computational simulations to confirm our hypothesis, proposing a predictor that could be particularly interesting to monitor the ecological resilience of the world's “green lungs.”

Physics Subject Headings (PhySH)

Focus

Uncovering Networks in Rainforest Plants

Published 19 April, 2024

The spatial arrangement of plants in a rainforest corresponds to a special “critical” state that could be vital for ecosystem robustness.  

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