Ecosystem respiration is a major biosphere–atmosphere carbon flux that creates a positive feedback effect on global warming. However, our current poor understanding of the temperature sensitivity of respiration has led to uncertainties in estimating the strength of this feedback. In this study, a time‐series decomposition technique incorporating wavelet coherence analysis was designed to assess the temperature sensitivity (Q10) of ecosystem (Reco), stem (Rstem), and soil (Rsoil) respiration in a mature eucalypt forest, providing new insights into respiration–temperature response relationships. Our method effectively calculated intrinsic Q10 values for Reco, Rstem, and Rsoil of 1.40 (95% CI: 1.34–1.46), 1.61 (95% CI: 1.54–1.67), and 1.57 (95% CI: 1.37–1.78), while the apparent Q10 values were 1.92, 1.13, and 2.38, respectively. We found that the non‐temperature confounding effect was the main factor leading to the discrepancy between the apparent Q10 calculations and the intrinsic Q10. Furthermore, by comparing our intrinsic Q10 values with the conventional value of 2.0, adopted in many Earth system models, we found that past model simulation results may have overestimated the sensitivity of terrestrial carbon release to temperature increases. Our study establishes a refined methodological framework for determining accurate Q10 values, thereby helping reduce uncertainties in modeling global climate–carbon cycle interactions.
Quantifying the Intrinsic Q10 of Ecosystem and Component Respiration in a Eucalypt Forest: Implications for Climate‐Carbon Feedback
Junjie Jiang,Lingxia Feng,Junguo Hu,Chao Zhu,Guangliang Li,Taolve Chen
Published 2025 in Plant, Cell and Environment
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- Publication year
2025
- Venue
Plant, Cell and Environment
- Publication date
2025-11-12
- Fields of study
Medicine, Environmental Science
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Semantic Scholar, PubMed
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