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Theoretical Ecology

, Volume 9, Issue 1, pp 3–13 | Cite as

The effects of space and diversity of interaction types on the stability of complex ecological networks

  • Miguel Lurgi
  • Daniel Montoya
  • José M. Montoya
ORIGINAL PAPER

Abstract

The relationship between structure and stability in ecological networks and the effect of spatial dynamics on natural communities have both been major foci of ecological research for decades. Network research has traditionally focused on a single interaction type at a time (e.g. food webs, mutualistic networks). Networks comprising different types of interactions have recently started to be empirically characterized. Patterns observed in these networks and their implications for stability demand for further theoretical investigations. Here, we employed a spatially explicit model to disentangle the effects of mutualism/antagonism ratios in food web dynamics and stability. We found that increasing levels of plant-animal mutualistic interactions generally resulted in more stable communities. More importantly, increasing the proportion of mutualistic vs. antagonistic interactions at the base of the food web affects different aspects of ecological stability in different directions, although never negatively. Stability is either not influenced by increasing mutualism—for the cases of population stability and species’ spatial distributions—or is positively influenced by it—for spatial aggregation of species. Additionally, we observe that the relative increase of mutualistic relationships decreases the strength of biotic interactions in general within the ecological network. Our work highlights the importance of considering several dimensions of stability simultaneously to understand the dynamics of communities comprising multiple interaction types.

Keywords

Cellular automata Food web Individual-based model Meta-community dynamics Mutualistic interactions Network structure Population dynamics Predator-prey 

Notes

Acknowledgments

This work was supported by the French Laboratory of Excellence project ‘TULIP’ (ANR-10-LABX-41; ANR-11-IDEX-002-02). ML was supported by Microsoft Research, through its PhD Scholarship programme. DM was supported by the European Commission (MODELECORESTORATION - FP7 Marie Curie Intra-European Fellowship for Career Development [301124]).

Author contributions

All authors designed the research. ML performed modelling work, ran the simulations and analysed output data. DM also analysed output data. All authors discussed the results. ML wrote the first draft of the manuscript, and all authors contributed substantially to revisions.

Supplementary material

12080_2015_264_MOESM1_ESM.docx (1.3 mb)
ESM 1 (DOCX 1301 kb)

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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Miguel Lurgi
    • 1
    • 4
  • Daniel Montoya
    • 2
  • José M. Montoya
    • 1
    • 3
  1. 1.CREAFBarcelonaSpain
  2. 2.School of Biological Sciences, Life Science BuildingUniversity of BristolBristolUK
  3. 3.Ecological Networks and Global Change Group, Experimental Ecology StationCentre National de la Recherche ScientifiqueMoulisFrance
  4. 4.Environment Institute and School of Biological SciencesUniversity of AdelaideNorth TerraceAustralia

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