Complexity and Stability of Adaptive Ecological Networks: A Survey of the Theory in Community Ecology

  • Pietro LandiEmail author
  • Henintsoa O. Minoarivelo
  • Åke Brännström
  • Cang Hui
  • Ulf Dieckmann


Background and Significance of the topic: The planet is changing at paces never observed before. Species extinction is happening at faster rates than ever, greatly exceeding the five mass extinctions in the fossil record. Nevertheless, human life is strongly based on services provided by ecosystems, thus the responses to global change of the planet’s natural heritage are of immediate concern. Understanding the relationship between complexity and stability of ecosystems is of key importance for the maintenance of the balance of human growth and the conservation of all the natural services that ecosystems provide. Methodology: The concept of ecological networks and their characteristics are first introduced, followed by central and occasionally contrasting definitions of complexity and stability. The literature on the relationship between complexity and stability in different types of models and few real ecosystems is then reviewed, highlighting the theoretical debate and the lack of consensual agreement. Application/Relevance to systems analysis: This chapter uses ecological-network models to study the relationship between complexity and stability of natural ecosystems. Policy and/or practice implications: Mathematical network models can be used to simplify the vast complexity of the real world, to formally describe and investigate ecological phenomena, and to understand ecosystems propensity of returning to its functioning regime after a stress or a perturbation. Discussion and conclusion: The chapter concludes by summarising the importance of this line of research for the successful management and conservation of biodiversity and ecosystem services.


Ecosystem services Community ecology Network complexity Food webs Connectance 



The authors are grateful to the National Research Foundation (NRF) of South Africa and the International Institute for Applied Systems Analysis (IIASA) for organizing the Southern African Young Scientist Summer Program (SA-YSSP). The contribution of two anonymous reviewers is acknowledged. This chapter is based on a review paper by the same authors submitted to Population Ecology.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Pietro Landi
    • 1
    • 2
    Email author
  • Henintsoa O. Minoarivelo
    • 1
    • 3
  • Åke Brännström
    • 2
    • 4
  • Cang Hui
    • 1
    • 5
  • Ulf Dieckmann
    • 2
  1. 1.Department of Mathematical SciencesStellenbosch UniversityStellenboschSouth Africa
  2. 2.Evolution and Ecology ProgramInternational Institute for Applied Systems AnalysisLaxenburgAustria
  3. 3.Centre of Excellence in Mathematical and Statistical SciencesWits UniversityJohannesburgSouth Africa
  4. 4.Department of Mathematics and Mathematical StatisticsUmeå UniversityUmeåSweden
  5. 5.Mathematical and Physical BiosciencesAfrican Institute for Mathematical SciencesMuizenbergSouth Africa

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