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Structural food web regimes

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  • Fath, Brian D.

Abstract

Ecological network analysis allows for an investigation of the structural and functional interconnectedness in ecosystems. Typically, these interactions are seen to comprise a food web of “who eats whom”, but more generally applies to the transfer of energy-matter within the biotic and abiotic ecosphere. This web of transactions can be depicted as a digraph or an adjacency matrix in which the presence of direct transactions are represented as a 1 and no transactions as 0. Each transaction between system components leads to an overall network structural pattern. These structures cluster into different categories or regimes based on their cyclic nature. This paper demonstrates threshold effects of the placement or removal of links, such that certain changes essentially keep the structure in the same regime whereas others shift it to another regime in a non-linear manner.

Suggested Citation

  • Fath, Brian D., 2007. "Structural food web regimes," Ecological Modelling, Elsevier, vol. 208(2), pages 391-394.
  • Handle: RePEc:eee:ecomod:v:208:y:2007:i:2:p:391-394
    DOI: 10.1016/j.ecolmodel.2007.06.013
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    References listed on IDEAS

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    1. Richard J. Williams & Neo D. Martinez, 2000. "Simple rules yield complex food webs," Nature, Nature, vol. 404(6774), pages 180-183, March.
    2. Fath, Brian D. & Halnes, Geir, 2007. "Cyclic energy pathways in ecological food webs," Ecological Modelling, Elsevier, vol. 208(1), pages 17-24.
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    Cited by:

    1. Solovjova, N.V., 2019. "Ecological risk modelling in developing resources of ecosystems characterized by varying vulnerability levels," Ecological Modelling, Elsevier, vol. 406(C), pages 60-72.
    2. Cózar, Andrés & García, Carlos M. & Gálvez, José A. & Echevarría, Fidel, 2008. "Structuring pelagic trophic networks from the biomass size spectra," Ecological Modelling, Elsevier, vol. 215(4), pages 314-324.
    3. Phillips, Jonathan D., 2011. "Predicting modes of spatial change from state-and-transition models," Ecological Modelling, Elsevier, vol. 222(3), pages 475-484.

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