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Strong effect of dispersal network structure on ecological dynamics

Author

Listed:
  • Matthew D. Holland

    (University of California, Davis, One Shields Avenue, Davis, California 95616, USA)

  • Alan Hastings

    (University of California, Davis, One Shields Avenue, Davis, California 95616, USA)

Abstract

Predator versus prey: corridors of uncertainty A central question for ecologists is how interactions between predator and prey affect an ecosystem as a whole. How, for example, is the cyclic dynamics of lemmings and their predators influenced by the predators' taste for lemmings, as opposed to other prey? Using a numerical model, Matthew Holland and Alan Hastings show that by focusing on ecologically relevant interactions — smaller systems in which interactions are strong — it is possible to simulate ecosystems that favour asynchrony of predator and prey cycles, with prolonged transient dynamics, just as ecologists observe in nature. One implication is that corridors linking disconnected habitat fragments should have a degree of asymmetry, mimicking the natural environment.

Suggested Citation

  • Matthew D. Holland & Alan Hastings, 2008. "Strong effect of dispersal network structure on ecological dynamics," Nature, Nature, vol. 456(7223), pages 792-794, December.
    • Handle: RePEc:nat:nature:v:456:y:2008:i:7223:d:10.1038_nature07395
    DOI: 10.1038/nature07395
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    Citations

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    Cited by:

    1. Liao, Limei & Shen, Yang & Liao, Jinbao, 2020. "Robustness of dispersal network structure to patch loss," Ecological Modelling, Elsevier, vol. 424(C).
    2. Shen, Yang & Zeng, Chenghui & Nijs, Ivan & Liao, Jinbao, 2019. "Species persistence in spatially regular networks," Ecological Modelling, Elsevier, vol. 406(C), pages 1-6.
    3. Henriette Heer & Lucas Streib & Ralf B Schäfer & Stefan Ruzika, 2020. "Maximising the clustering coefficient of networks and the effects on habitat network robustness," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-16, October.
    4. Wang, Jin-Liang & Wu, Huai-Ning, 2011. "Stability analysis of impulsive parabolic complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 44(11), pages 1020-1034.
    5. Borrett, Stuart R. & Moody, James & Edelmann, Achim, 2014. "The rise of Network Ecology: Maps of the topic diversity and scientific collaboration," Ecological Modelling, Elsevier, vol. 293(C), pages 111-127.
    6. Grosklos, Guenchik & Zhao, Jia, 2023. "Chaos does not drive lower synchrony for intrinsically-induced population fluctuations," Ecological Modelling, Elsevier, vol. 475(C).
    7. Dongli, Duan & Chengxing, Wu & Yuchen, Zhai & Changchun, Lv & Ning, Wang, 2022. "Coexistence mechanism of alien species and local ecosystem based on network dimensionality reduction method," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).
    8. Bagchi, Dweepabiswa & Arumugam, Ramesh & Chandrasekar, V.K. & Senthilkumar, D.V., 2022. "Metacommunity stability and persistence for predation turnoff in selective patches," Ecological Modelling, Elsevier, vol. 470(C).
    9. Borrett, S.R. & Freeze, M.A., 2011. "Reconnecting environs to their environment," Ecological Modelling, Elsevier, vol. 222(14), pages 2393-2403.
    10. Salau, Kehinde & Schoon, Michael L. & Baggio, Jacopo A. & Janssen, Marco A., 2012. "Varying effects of connectivity and dispersal on interacting species dynamics," Ecological Modelling, Elsevier, vol. 242(C), pages 81-91.
    11. Schreiber, Sebastian J. & Killingback, Timothy P., 2013. "Spatial heterogeneity promotes coexistence of rock–paper–scissors metacommunities," Theoretical Population Biology, Elsevier, vol. 86(C), pages 1-11.
    12. Borrett, S.R. & Salas, A.K., 2010. "Evidence for resource homogenization in 50 trophic ecosystem networks," Ecological Modelling, Elsevier, vol. 221(13), pages 1710-1716.

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