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Decoding information in multilayer ecological networks: The keystone species case

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  • Huaylla, Claudia A.
  • Nacif, Marcos E.
  • Coulin, Carolina
  • Kuperman, Marcelo N.
  • Garibaldi, Lucas A.

Abstract

The construction of a network capturing the topological structure linked to the interactions among species and the analysis of its properties constitutes a clarifying way to understand the functioning of an ecosystem at different scales of analysis. Here, we present a novel systematic procedure to profit from the enhanced information derived from considering its multiple levels and apply it to analyse the presence of keystone species.

Suggested Citation

  • Huaylla, Claudia A. & Nacif, Marcos E. & Coulin, Carolina & Kuperman, Marcelo N. & Garibaldi, Lucas A., 2021. "Decoding information in multilayer ecological networks: The keystone species case," Ecological Modelling, Elsevier, vol. 460(C).
    • Handle: RePEc:eee:ecomod:v:460:y:2021:i:c:s0304380021002842
    DOI: 10.1016/j.ecolmodel.2021.109734
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    1. H. Jeong & S. P. Mason & A.-L. Barabási & Z. N. Oltvai, 2001. "Lethality and centrality in protein networks," Nature, Nature, vol. 411(6833), pages 41-42, May.
    2. H. Jeong & B. Tombor & R. Albert & Z. N. Oltvai & A.-L. Barabási, 2000. "The large-scale organization of metabolic networks," Nature, Nature, vol. 407(6804), pages 651-654, October.
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    1. Huaylla, Claudia A. & Kuperman, Marcelo N. & Garibaldi, Lucas A., 2024. "Comparison of two statistical measures of complexity applied to ecological bipartite networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 642(C).

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