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Disentangling nestedness from models of ecological complexity

Author

Listed:
  • Alex James

    (Biomathematics Research Centre, University of Canterbury, Private Bag 4800, Christchurch 8040, New Zealand)

  • Jonathan W. Pitchford

    (York Centre for Complex Systems Analysis, University of York, Heslington, York YO10 5DD, United Kingdom)

  • Michael J. Plank

    (Biomathematics Research Centre, University of Canterbury, Private Bag 4800, Christchurch 8040, New Zealand)

Abstract

Examination of previous results and computational analysis of empirical data sets representing mutualistic plant–pollinator networks shows that a simple metric—the number of mutualistic partners a species has—is a better predictor of individual species survival (and hence, community persistence) than is the nestedness of ecological networks.

Suggested Citation

  • Alex James & Jonathan W. Pitchford & Michael J. Plank, 2012. "Disentangling nestedness from models of ecological complexity," Nature, Nature, vol. 487(7406), pages 227-230, July.
    • Handle: RePEc:nat:nature:v:487:y:2012:i:7406:d:10.1038_nature11214
    DOI: 10.1038/nature11214
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    Cited by:

    1. Tad Dallas & Andrew W Park & John M Drake, 2017. "Predicting cryptic links in host-parasite networks," PLOS Computational Biology, Public Library of Science, vol. 13(5), pages 1-15, May.
    2. Yingjie Song & Devra I. Jarvis & Keyu Bai & Jinchao Feng & Chunlin Long, 2020. "Assessment of the Resilience of a Tartary Buckwheat ( Fagopyrum tataricum ) Cultivation System in Meigu, Southwest China," Sustainability, MDPI, vol. 12(14), pages 1-12, July.
    3. González, Cecilia, 2023. "Evolution of the concept of ecological integrity and its study through networks," Ecological Modelling, Elsevier, vol. 476(C).
    4. Mika J. Straka & Guido Caldarelli & Tiziano Squartini & Fabio Saracco, 2017. "From Ecology to Finance (and Back?): Recent Advancements in the Analysis of Bipartite Networks," Papers 1710.10143, arXiv.org.
    5. Zhuo-Ming Ren & An Zeng & Yi-Cheng Zhang, 2020. "Bridging nestedness and economic complexity in multilayer world trade networks," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-8, December.

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