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Widespread Higher Soil Respiration Rates at Nighttime Than Daytime Across Global Forest Ecosystems
Heng Huang1,2, Jinyun Tang3, Ben Bond-Lamberty4
1School of Ecology, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, China.
Global Change Biology
|March 14, 2026
Summary
Soil respiration (Rs) is higher at night than during the day in forests, contrary to model assumptions. This finding is crucial for understanding the soil carbon budget and climate change impacts.
Area of Science:
- Terrestrial Ecosystem Ecology
- Biogeochemical Cycles
- Climate Change Science
Background:
- Soil respiration (Rs) is a major terrestrial carbon flux influencing the soil carbon budget.
- Seasonal and annual Rs dynamics and temperature sensitivity are understood, but diel (24-hour) patterns are not.
- Earth System Models (ESMs) often assume constant Rs temperature response over diel cycles, predicting lower nighttime Rs.
Purpose of the Study:
- To investigate diel patterns of soil respiration (Rs) across global forest ecosystems.
- To compare observed diel Rs patterns with predictions from Earth System Models (ESMs).
- To assess the implications of diel Rs dynamics for carbon-climate feedbacks.
Main Methods:
- Analysis of extensive in situ Rs datasets from 36 global forest sites.
- Comparison of daytime and nighttime Rs-temperature relationships.
- Evaluation of ESM predictions against observed diel Rs patterns.
Main Results:
- A widespread pattern of higher nighttime than daytime Rs was observed across 36 forest sites.
- This pattern is likely driven by a temporal lag between photosynthesis and Rs due to photosynthate transport.
- Daytime Rs-temperature relationships underestimated nighttime Rs by 2.5%–28.7% at 31 sites.
- ESMs inaccurately predict lower nighttime Rs due to underestimating root respiration dynamics.
Conclusions:
- Significant diel Rs patterns exist across forest ecosystems, with higher nighttime respiration.
- Diel differences in Rs temperature response are substantial and not captured by current ESMs.
- Incorporating diel Rs dynamics is essential for improving carbon-climate feedback predictions under global warming.
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