Biotic and abiotic factors jointly drive the temperature sensitivity of soil respiration in forests worldwide

The sensitivity of soil respiration ( R s ) to temperature ( Q 10 ) is a key parameter for benchmarking the carbon (C) cycle and climate feedbacks in the context of global warming. However, previous studies on the factors that drive forest soil Q 10 have focused mostly on abiotic factors, such as climate and soil, while the role of biotic factors has been less examined. Here, we compiled a global dataset of 766 soil Q 10 values and 17 matched biotic and abiotic factors to explore the factors that drive the variability of global forest soil Q 10 using a random forest (RF) model. Our findings showed that soil Q 10 increased with microbial biomass carbon (MBC), which was the most important predictor. Additionally, soil Q 10 was positively correlated with leaf phosphorus content but was negatively correlated with leaf N:P, indicating that plant ecological stoichiometry might be a factor that explained soil Q 10 variability. All abiotic factors, including climate, soil properties, and elevation, had great predictive power and were significantly related to soil Q 10 . By comparing the soil Q 10 in multispecies forests and monocultures, we found that Q 10 in the mixed needle-leaved and broad-leaved forests (NF & BF) was lower than in monocultures. Our study revealed that, in addition to abiotic factors, biotic factors were also strong predictors of forest soil Q 10 , which can deepen our understanding of soil respiration in response to global warming and provide insights for improving carbon cycle models.

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Publication Details

Journal
Forest Ecosystems
Published
2025-05-05
DOI
https://doi.org/10.1016/j.fecs.2025.100340
Citations
1
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
1.19

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article

Biotic and abiotic factors jointly drive the temperature sensitivity of soil respiration in forests worldwide

Aijun Xing, Haihua Shen, Jingyun Fang, Z WANG
1 citations
Forest Ecosystems
Soil Carbon and Nitrogen Dynamics
1.19
article

Biotic and abiotic factors jointly drive the temperature sensitivity of soil respiration in forests worldwide

Aijun Xing, Haihua Shen, Jingyun Fang, Z WANG
article en
1 citations

Abstract

The sensitivity of soil respiration ( R s ) to temperature ( Q 10 ) is a key parameter for benchmarking the carbon (C) cycle and climate feedbacks in the context of global warming. However, previous studies on the factors that drive forest soil Q 10 have focused mostly on abiotic factors, such as climate and soil, while the role of biotic factors has been less examined. Here, we compiled a global dataset of 766 soil Q 10 values and 17 matched biotic and abiotic factors to explore the factors that drive the variability of global forest soil Q 10 using a random forest (RF) model. Our findings showed that soil Q 10 increased with microbial biomass carbon (MBC), which was the most important predictor. Additionally, soil Q 10 was positively correlated with leaf phosphorus content but was negatively correlated with leaf N:P, indicating that plant ecological stoichiometry might be a factor that explained soil Q 10 variability. All abiotic factors, including climate, soil properties, and elevation, had great predictive power and were significantly related to soil Q 10 . By comparing the soil Q 10 in multispecies forests and monocultures, we found that Q 10 in the mixed needle-leaved and broad-leaved forests (NF & BF) was lower than in monocultures. Our study revealed that, in addition to abiotic factors, biotic factors were also strong predictors of forest soil Q 10 , which can deepen our understanding of soil respiration in response to global warming and provide insights for improving carbon cycle models.

Forest EcosystemsVol. 14
Chinese Academy of Sciences (CN), Peking University (CN), Institute of Botany (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences
Zero hunger
Openalex Percentile: Top 21%
Soil Carbon and Nitrogen Dynamics
1.19
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