Temperature sensitivity increases with decreasing soil carbon quality in forest ecosystems across northeast China

Hongru Sun, Guangsheng Zhou, Zhenzhu Xu, Yuhui Wang, Xiaodi Liu, Hongying Yu, Quanhui Ma and Bingrui Jia ()
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Hongru Sun: Chinese Academy of Sciences
Guangsheng Zhou: Chinese Academy of Sciences
Zhenzhu Xu: Chinese Academy of Sciences
Yuhui Wang: Chinese Academy of Sciences
Xiaodi Liu: Chinese Academy of Sciences
Hongying Yu: Chinese Academy of Sciences
Quanhui Ma: Chinese Academy of Sciences
Bingrui Jia: Chinese Academy of Sciences

Climatic Change, 2020, vol. 160, issue 3, No 3, 373-384

Abstract: Abstract Soil respiration universally exhibits exponential temperature dependence (Respiration = R0 eβT & Q10 = e10β), and temperature sensitivity (Q10) and soil organic carbon quality (as expressed by basal respiration rate at 0 °C, R0) are the key parameters. Despite their importance for predicting the responses of forest ecosystems to climate change and quantifying the magnitude of soil CO2 efflux, the controlling factors of temperature sensitivity and soil carbon quality and their relationships among various forest types at a regional scale are as yet unknown. Here, we present a comprehensive analysis of Q10, R0, and their related variables by assembling 154 independent temperature–respiration functions under a common standard in forest ecosystems across northeast China (41°51′–51°24′ N, 118°37′–129°48′ E). The R0 values ranged from 0.1700 to 2.1194 μmol m−2 s−1 (mean = 0.8357 μmol m−2 s−1), and the Q10 values from 1.29 to 5.42 (mean = 2.72). The relationships between Q10 and R0 could be best expressed with exponential decay equations (R2 = 0.460–0.611, P

Keywords: Soil respiration; Q10; Basal respiration; Carbon quality-temperature hypothesis; Forest ecosystem; China (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10584-019-02650-z

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