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Network-agent based model for simulating the dynamic spatial network structure of complex ecological systems

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  • Anderson, Taylor M.
  • Dragićević, Suzana

Abstract

Non-spatial ecological networks provide insight into the organization and interaction between biological entities. More recently, biological dispersal is modelled using spatial networks, static sets of georeferenced habitat patches that connect based on a species’ maximum dispersal distance. However, dispersal is complex, where spatial patterns at the landscape scale emerge from interactions between ecological entities and landscape features at much finer individual scales. Agent-based modelling (ABM) is a computational representation of complex systems capable of capturing this complexity. Therefore, this study develops a network-ABM (N-ABM) that combines network and complex systems theory to simulate complex evolving spatial networks. The developed N-ABM approach is implemented on the case study of the emerald ash borer (EAB) bark beetle using geospatial datasets in Ontario, Canada. The N-ABM generates dynamic spatial network structures that emerge from interactions between the EAB and tree agents at the individual scale. The resulting networks are analyzed using graph theory measures. Analysis of the results indicates a relationship between preferential attachment in insect host selection and the emergent scale-free network structure. The N-ABM approach can be used to represent dynamic ecological networks and provides insight into how network structure emerges from EAB dispersal dynamics, useful for forest management.

Suggested Citation

  • Anderson, Taylor M. & Dragićević, Suzana, 2018. "Network-agent based model for simulating the dynamic spatial network structure of complex ecological systems," Ecological Modelling, Elsevier, vol. 389(C), pages 19-32.
    • Handle: RePEc:eee:ecomod:v:389:y:2018:i:c:p:19-32
    DOI: 10.1016/j.ecolmodel.2018.10.008
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    References listed on IDEAS

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    1. Jiang, Bin, 2007. "A topological pattern of urban street networks: Universality and peculiarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 647-655.
    2. Anderson, Taylor M. & Dragićević, Suzana, 2016. "Geospatial pest-parasitoid agent based model for optimizing biological control of forest insect infestation," Ecological Modelling, Elsevier, vol. 337(C), pages 310-329.
    3. Réka Albert & Hawoong Jeong & Albert-László Barabási, 1999. "Diameter of the World-Wide Web," Nature, Nature, vol. 401(6749), pages 130-131, September.
    4. Bone, Christopher & Altaweel, Mark, 2014. "Modeling micro-scale ecological processes and emergent patterns of mountain pine beetle epidemics," Ecological Modelling, Elsevier, vol. 289(C), pages 45-58.
    5. Jeff Alstott & Ed Bullmore & Dietmar Plenz, 2014. "powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-11, January.
    6. Semeniuk, C.A.D. & Musiani, M. & Hebblewhite, M. & Grindal, S. & Marceau, D.J., 2012. "Incorporating behavioral–ecological strategies in pattern-oriented modeling of caribou habitat use in a highly industrialized landscape," Ecological Modelling, Elsevier, vol. 243(C), pages 18-32.
    7. Rebecca J. Morris & Owen T. Lewis & H. Charles J. Godfray, 2004. "Experimental evidence for apparent competition in a tropical forest food web," Nature, Nature, vol. 428(6980), pages 310-313, March.
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