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Productivity controls food-chain properties in microbial communities

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  • Christina M. K. Kaunzinger

    (Evolution & Natural Resources, Rutgers University)

  • Peter J. Morin

    (Evolution & Natural Resources, Rutgers University)

Abstract

Food webs provide a framework for integrating population dynamics, community structure and ecosystem processes, but the causes of many food-web patterns remain controversial1. An unresolved issue concerns the factors that limit food-chain length in natural ecosystems, although theory predicts that length could be limited by inefficient energy transfer between trophic levels2 orby the instability of longer food chains3. Experiments provide qualitative support for the instability of longer food chains4, but, according to theory, this relationship may depend on the assumptions used to model food chains5. Here we show that experimental manipulations of productivity determine the length of microbial food chains in laboratory microcosms. Food-chain length is also predicted to determine how productivity influences population densities within trophic levels. If trophic levels consist entirely ofedible prey, and if consumers feed only on the next-lower trophic level6, population densities should alternate between increasing and constant values as food-chain length increases (Fig. 1). We find that food-chain length determines population-level responses to productivity, which is consistent with predictions from models. These results indicate that the impacts of human alterations of productivity will depend crucially on the structure of the affected food chains. Figure 1 The pattern of abundance within trophic levels expected in response to increases in productivity in food-chain models. Solid line, trophic level 1; dotted and dashed line, trophic level 2; dotted line, trophic level 3. Modified from ref. 20.

Suggested Citation

  • Christina M. K. Kaunzinger & Peter J. Morin, 1998. "Productivity controls food-chain properties in microbial communities," Nature, Nature, vol. 395(6701), pages 495-497, October.
  • Handle: RePEc:nat:nature:v:395:y:1998:i:6701:d:10.1038_26741
    DOI: 10.1038/26741
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    Cited by:

    1. Fetahi, Tadesse & Schagerl, Michael & Mengistou, Seyoum & Libralato, Simone, 2011. "Food web structure and trophic interactions of the tropical highland lake Hayq, Ethiopia," Ecological Modelling, Elsevier, vol. 222(3), pages 804-813.
    2. Ginzburg, Lev R. & Jensen, Christopher X.J. & Yule, Jeffrey V., 2007. "Aiming the “unreasonable effectiveness of mathematics” at ecological theory," Ecological Modelling, Elsevier, vol. 207(2), pages 356-362.

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