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Indirect effects drive coevolution in mutualistic networks.

Paulo R Guimarães1, Mathias M Pires2, Pedro Jordano3

  • 1Departamento de Ecologia, Instituto de Biociências, Universidade de São Paulo, Rua do Matão 321, Travessa 14, São Paulo - SP 05508-090, Brazil.

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This summary is machine-generated.

Indirect ecological interactions significantly influence trait evolution in multispecies networks. Non-interacting species impact coevolution, especially in diverse, multi-partner mutualisms, driving adaptive landscape changes.

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Area of Science:

  • Evolutionary Biology
  • Ecology
  • Network Theory

Background:

  • Ecological interactions are crucial for biodiversity.
  • Understanding trait evolution in multispecies networks remains a challenge.
  • Previous studies often focused on pairwise interactions.

Purpose of the Study:

  • To integrate coevolutionary dynamics with ecological network structure.
  • To investigate the role of both direct and indirect ecological interactions in shaping trait evolution.
  • To compare the importance of indirect effects across different types of mutualistic networks.

Main Methods:

  • Developed an integrated approach combining coevolutionary dynamics and network structure analysis.
  • Modeled trait evolution within mutualistic assemblages.
  • Differentiated between direct and indirect ecological effects.

Main Results:

  • Non-interacting species exert significant influence on coevolution, comparable to directly interacting species.
  • Indirect effects are more prevalent in species-rich, nested networks (e.g., pollination) than in modular, intimate mutualisms (e.g., ant-plant).
  • Indirect coevolutionary pathways promote continuous adaptive landscape reorganization, facilitating trait evolution.

Conclusions:

  • Coevolution, driven by both direct and indirect interactions, is a major factor shaping species traits in ecological networks.
  • Indirect effects play a critical role in the trait evolution of mutualistic partners, especially in complex networks.
  • This study expands the understanding of how selection pressures across multiple pathways drive evolutionary change.