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Self-organised pattern formation increases local diversity in metacommunities.

Christian Guill1, Janne Hülsemann1, Toni Klauschies1

  • 1Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany.

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|September 24, 2021
PubMed
Summary

Spatial pattern formation in ecosystems can enhance biodiversity. Dispersal in metacommunities drives complex patterns, increasing local diversity and adaptability compared to isolated patches.

Keywords:
Turing instabilitybiomass-trait feedbackfitness gradientfood chainfunctional diversitymetacommunityself-organisationsource-sink dynamicsspatio-temporal patterntrait-based aggregate model

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Area of Science:

  • Ecology
  • Theoretical Ecology
  • Community Ecology

Background:

  • Self-organized spatial pattern formation is common in ecosystems, but its impact on community diversity remains unclear.
  • Autotroph diversity, characterized by traits influencing growth and defense, is central to understanding these patterns.
  • Isolated ecological patches tend to lose diversity over time, converging to stable states dominated by either defended or undefended species.

Purpose of the Study:

  • To investigate how self-organized spatial patterns influence community diversity within a food chain model.
  • To compare diversity dynamics in isolated patches versus a metacommunity context with dispersal.

Main Methods:

  • Utilized a food chain model with a continuous trait distribution for autotrophs.
  • Simulated community dynamics on isolated patches and in a metacommunity with dispersal.
  • Analyzed the emergence of spatio-temporal patterns and their effect on species abundances and diversity.

Main Results:

  • Isolated patches led to diversity loss and convergence to alternative stable states (defended or undefended species dominance).
  • Dispersal in the metacommunity context destabilized these states, generating complex spatio-temporal patterns.
  • Biomass-trait feedback associated with pattern formation significantly increased local diversity by an order of magnitude.

Conclusions:

  • Self-organized spatial pattern formation, particularly in metacommunities, is crucial for maintaining high local biodiversity.
  • Dispersal-driven pattern formation enhances community resilience and adaptability to environmental changes.
  • The study highlights the importance of considering spatial dynamics and dispersal in ecological theory and conservation.