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Updated: Jun 25, 2025

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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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Human activities shape global patterns of decomposition rates in rivers
S D Tiegs1, K A Capps2,3, D M Costello4
1Department of Biological Sciences, Oakland University, Rochester, MI 48309, USA.
Summary
Rivers and streams decompose plant matter, impacting global carbon cycling. This study models decomposition rates, revealing human activities accelerate this crucial process in many areas.
Area of Science:
- Environmental Science
- Ecology
- Biogeochemistry
Background:
- Rivers and streams are vital for global carbon cycling through decomposition of terrestrial plant matter.
- Decomposition rates in aquatic ecosystems are highly variable and poorly understood at large scales.
- Understanding these processes is crucial for predicting ecosystem responses to environmental change.
Purpose of the Study:
- To develop a predictive model for cellulose decomposition rates in global streams.
- To identify key drivers influencing decomposition across diverse aquatic environments.
- To map global decomposition rates and assess the impact of human activities.
Main Methods:
- Utilized a cellulose-based assay to simulate plant detritus decomposition.
- Collected data from 514 globally distributed streams.
- Developed a predictive model explaining 81% of the variance in decomposition rates.
Main Results:
- Identified numerous variables critical for predicting decomposition, underscoring process complexity.
- Integrated predicted cellulose decomposition with litter quality to accurately explain leaf litter decomposition (70% variance).
- Generated a global map of decomposition rates, highlighting accelerated rates in human-dominated regions.
Conclusions:
- A robust model for predicting stream decomposition rates has been established.
- Global decomposition patterns are influenced by a complex interplay of factors.
- Human activities significantly impact and accelerate decomposition in many riverine ecosystems.
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