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A conceptual framework for ecosystem stoichiometry: balancing resource supply and demand


  • John D. Schade,

  • Javier F. Espeleta,

  • Christopher A. Klausmeier,

  • Megan E. McGroddy,

  • Steven A. Thomas,

  • Lixia Zhang

J. D. Schade, Dept of Integrative Biology, Univ. of California-Berkeley, Berkeley, CA 94720, USA ( – J. F. Espeleta, La Selva Biological Station, Organization for Tropical Studies, PO Box 676-2050, San Pedro, Costa Rica. – C. A. Klausmeier, School of Biology, Georgia Institute of Technology, Atlanta, GA 30332-0230, USA. – M. E. McGroddy, Dept of Ecology and Evolutionary Biology, Princeton Univ., 106A Guyot Hall, Princeton, NJ 08540, USA. – S. A. Thomas, Dept of Ecology and Evolutionary Biology, Cornell Univ., Ithaca, NY 14853, USA. – L. Zhang, Institute of Botany, Chinese Academy of Sciences, CN-100093 Beijing, PR China.


The development of ecological stoichiometry has centered on organisms and their interactions, with less emphasis on the meaning or value of a comprehensive ecosystem stoichiometry at larger scales. Here we develop a conceptual framework that relates internal processes and exogenous factors in spatially- and temporally-linked ecosystems. This framework emerges from a functional view of ecosystem stoichiometry rooted in understanding the causes and consequences of relative stoichiometric balance, defined as the balance between ratios of resource supply and demand. We begin by modifying a graphical model based on resource ratio competition theory that relates resource supply and demand to ecosystem processes. This approach identified mechanisms, or stoichiometric schemes, through which ecosystems respond to variable resource supply. We expand this view by considering the effects of exogenous factors other then resource supply that comprise a stoichiometric template that influences stoichiometric balance within ecosystems. We then describe a number of examples of patterns in organismal stoichiometry in several types of ecosystems that illustrate stoichiometric schemes and factors that impinge directly on stoichiometric patterns. Next, we conduct an initial analysis of the stoichiometric effects of spatial linkages between ecosystems, and how those relate to boundary dynamics and hot spot development. We conclude by outlining research directions that will significantly advance our understanding of stoichiometric constraints on ecosystem structure and function.

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