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Get Free AccessTerrestrial ecosystem respiration (Re) is a crucial component of the carbon cycle and is expected to increase with anthropogenic warming. The temperature response of Re is typically parameterized using temperature sensitivity Q10, which describes the increase in respiration with a 10oC rise in temperature. The respiration increase largely determines the future direction of the terrestrial-atmosphere carbon balance. However, our current understanding of the mechanisms driving Q10 variation across latitudes and biomes is still insufficient. As a result, it remains difficult to constrain predictions of future Re dynamics. The Michaelis–Menten (MM) kinetics , developed to describe enzyme-catalyzed reactions, is a cornerstone to understand biochemical processes at the cellular and molecular levels. This model effectively captures the relationship between substrate concentration and reaction rates, simplifying complex biochemical interactions into manageable mathematical expressions using the key parameters Vmax (maximum reaction rate) and Km (substrate concentration at half the maximum rate). However, the applicability of this microscopic model to large-scale ecosystem processes can be questioned . Most Earth system models incorporate the Farquhar–von Caemmerer–Berry (FvCB) biochemical model, which is grounded in Michaelis–Menten kinetics, to simulate photosynthesis at ecosystem or larger scales. However, the description of respiration processes over large ecosystem scale still predominantly relies on more empirical models, projecting an exponential temperature response with Arrhenius or Q10 types of functions.
Qin Zhang, Chuixiang Yi, Georgia Destouni, Georg Wohlfahrt, Yakov Kuzyakov, Runze Li, Eric Kutter, Deliang Chen, Max Rietkerk, Zhenkun Tian, George R. Hendrey, Wei Fang, Nir Y. Krakauer, Jerker Jarsjoe, Jianxu Han, Shiguo Xu (2025). How Michaelis-Menten Kinetics Can Represent Ecosystem-scale Respiration: Scale and Applicability. Environmental Research Letters, DOI: 10.1088/1748-9326/adc31a.
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Type
Article
Year
2025
Authors
16
Datasets
0
Total Files
0
Language
English
Journal
Environmental Research Letters
DOI
10.1088/1748-9326/adc31a
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