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Updated: Apr 18, 2026

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Linking Predation Risk, Herbivore Physiological Stress and Microbial Decomposition of Plant Litter
Published on: March 12, 2013
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Metabolic theory predicts whole-ecosystem properties.
John R Schramski1, Anthony I Dell2, John M Grady3
1College of Engineering, University of Georgia, Athens, GA 30602; jschrams@uga.edu jhbrown@unm.edu.
Summary
Organism metabolism influences ecosystem material cycles. A new theory links organism traits to energy and carbon flow, predicting residence times across diverse ecosystems.
Area of Science:
- Ecology
- Ecosystem Science
- Metabolic Theory
Background:
- Understanding organism impacts on ecosystem material cycles is crucial for predicting climate change, land use, and biodiversity shifts.
- Existing approaches often focus on either organism-level metabolism (bottom-up) or ecosystem-level processes (top-down).
Purpose of the Study:
- To present a unified theory integrating metabolic and systems approaches to explain how individual organism metabolism affects ecosystem material and energy flows.
- To predict variations in carbon residence time, total system throughflow (TST), and recycling based on organism body size, temperature, and trophic structure.
Main Methods:
- Developed a theory integrating organismal metabolism with ecosystem dynamics.
- Evaluated theoretical predictions against numerical ecosystem models and empirical data from diverse real-world ecosystems.
Main Results:
- The theory accurately predicts that ecosystem residence times increase linearly with the ratio of ecosystem biomass to primary productivity (B/P).
- Residence times vary significantly across ecosystems (weeks to centuries) but follow a universal relationship.
- Total system throughflow (TST) is primarily driven by primary productivity, while recycling is influenced by microbial-to-animal energy transfer.
Conclusions:
- The integrated theory provides a robust framework for quantifying energy, carbon, and material fluxes and storage in all ecosystem types.
- It offers a powerful tool for understanding the roles of organisms and environments in ecosystem processes from local to global scales.
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