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Stability and complexity in model meta-ecosystems.

Dominique Gravel1, François Massol2,3, Mathew A Leibold4

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Ecological stability in diverse communities is enhanced by species dispersal across habitats. However, this stabilizing effect is strongest at intermediate dispersal rates, with isolation posing a threat to biodiversity.

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Area of Science:

  • Ecology
  • Theoretical Ecology
  • Biodiversity Science

Background:

  • Ecological communities are complex networks of interacting species, posing a long-standing puzzle regarding their stability.
  • May's work questioned the stability of large, complex ecological systems, prompting various hypotheses.
  • Spatial dynamics are proposed as a stabilizing factor for biodiversity, but theory is limited in comparing dispersal to species interactions.

Purpose of the Study:

  • To incorporate organism and material dispersal into stability-complexity theory.
  • To investigate the relationship between spatial dynamics, dispersal, and ecosystem stability.
  • To compare the relative roles of dispersal and species interactions in maintaining community stability.

Main Methods:

  • Developed a theoretical model integrating dispersal into stability-complexity frameworks.
  • Analyzed how the number of distinct ecological patches influences stability criteria.
  • Examined the impact of varying dispersal intensity on ecosystem stability.

Main Results:

  • Stability criteria from classic theory are relaxed proportionally to the number of distinct patches in a meta-ecosystem.
  • The stabilizing effect of dispersal on ecological networks is maximal at intermediate intensities.
  • Dispersal plays a crucial role in maintaining stability within complex ecological systems.

Conclusions:

  • Spatial dynamics, particularly dispersal, can significantly enhance the stability of complex ecological systems.
  • Biodiversity is vulnerable to landscape fragmentation and habitat loss, which can isolate local communities and disrupt stabilizing dispersal.
  • Intermediate dispersal rates are optimal for stability, suggesting that both too little and too much isolation can be detrimental.