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Published on: February 15, 2019
A unified theory for organic matter accumulation
Emily J Zakem1, B B Cael2, Naomi M Levine3
1Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089; zakem@usc.edu.
Organic matter accumulation in global elemental cycles is explained by a new model integrating biochemical, ecological, and environmental factors. This framework unifies previous hypotheses and predicts nonlinear responses to environmental changes.
Area of Science:
- Biogeochemistry
- Microbial Ecology
- Environmental Science
Background:
- Organic matter is crucial for global elemental cycles, but its accumulation dynamics are not fully understood.
- Existing hypotheses for organic matter accumulation include substrate recalcitrance, microbial consumption inhibition, and microbial community capabilities.
- A unified theoretical framework is needed to explain organic matter accumulation comprehensively.
Purpose of the Study:
- To develop a mechanistic model and theoretical framework explaining organic matter accumulation in natural environments.
- To integrate biochemical, ecological, and environmental factors influencing organic matter dynamics.
- To reconcile disparate hypotheses on organic matter accumulation.
Main Methods:
- Development of a mechanistic model.
- Theoretical framework construction.
- Analysis of factors influencing organic matter turnover and accumulation.
Main Results:
- The model provides a unified framework that subsumes previous hypotheses on organic matter accumulation.
- Changes in microbial communities or environment can shift organic matter from recalcitrant to depleted states.
- The model explains oceanic dissolved organic carbon profiles and links microbial activity to long-term organic matter turnover.
Conclusions:
- Organic matter accumulation is predictably governed by biochemical, ecological, and environmental factors.
- The model's threshold behavior suggests nonlinear responses of organic carbon reservoirs to environmental changes like temperature.
- This framework offers insights into past climate-carbon cycle correlations and future predictions.
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