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Limits on ecosystem trophic complexity: insights from ecological network analysis.

Robert E Ulanowicz1, Robert D Holt, Michael Barfield

  • 1Department of Biology, University of Florida, Gainesville, FL, 32611, USA; Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, MD, 20688, USA.

Ecology Letters
|January 3, 2014
PubMed
Summary
This summary is machine-generated.

Ecological food chains have a limited length, typically around 3-4 trophic links. This is because most food webs have few strong energy flows, despite many weak connections.

Keywords:
Connectivityecosystem rolesfood chain lengthnetwork complexitysystem flexibilitysystem rolestrophic breadthtrophic depthwindow of vitality

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Area of Science:

  • Ecology
  • Food Web Dynamics
  • Network Theory

Background:

  • Determining the length of trophic food chains is a persistent ecological challenge.
  • Traditional methods of counting species and energy transfers are insufficient due to the wide variation in transfer magnitudes.

Purpose of the Study:

  • To develop new quantitative measures for analyzing ecological networks with varying transfer magnitudes.
  • To re-evaluate the complexity of ecosystem food webs using these advanced metrics.

Main Methods:

  • Created a suite of extended measures to quantify trophic networks with orders-of-magnitude variations.
  • Applied these measures to empirical data from ecosystem trophic networks.

Main Results:

  • Ecosystem food webs are less complex than typically assumed, dominated by a few strong energy flows.
  • Despite large numbers of nodes and transfers, networks function like simpler systems (e.g., <14 nodes).
  • Effective trophic chain length is bounded at approximately 3-4 links.

Conclusions:

  • The complexity of ecological food webs is constrained by the dominance of strong energy flows.
  • A consistent upper limit of 3-4 trophic levels appears to be a general property of ecosystems.
  • Whole-system processes likely drive these observed ecological limits and regularities.