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The long-term restoration of ecosystem complexity.

David Moreno-Mateos1,2,3, Antton Alberdi4, Elly Morriën5,6

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Restoration science must focus on long-term ecosystem re-assembly, integrating ecological networks and evolutionary potential. This approach aims to build resilient ecosystems capable of adapting to global changes.

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Restoration Science

Background:

  • Ecosystem degradation and biodiversity loss are significant global challenges.
  • Current restoration strategies are often insufficient to fully counteract these losses.
  • There is a need for novel approaches to enhance ecosystem recovery and resilience.

Purpose of the Study:

  • To propose a long-term restoration science approach focused on re-assembling ecosystem complexity.
  • To integrate ecological interaction networks and evolutionary potential into restoration strategies.
  • To develop methods for understanding and enhancing the adaptive potential of ecosystems.

Main Methods:

  • Focusing on eco-evolutionary feedbacks that shape recovering ecosystems.
  • Investigating changes in the adaptive potential of key metacommunity hub species.
  • Employing a restoration genomics approach with whole-genome sequencing.
  • Utilizing replicated space-for-time substitutions to link genetic variation to traits.

Main Results:

  • The proposed approach provides insights into eco-evolutionary feedbacks.
  • It helps understand adaptive potential changes in hub species crucial for restoration.
  • It links genetic variation to traits essential for establishing resilient communities.

Conclusions:

  • A long-term, complexity-focused restoration approach is necessary.
  • Integrating ecological and evolutionary perspectives is key to building resilient ecosystems.
  • Restoration genomics and space-for-time substitutions can accelerate the development of adaptive ecosystems.