Carbon quality and soil microbial property control the latitudinal pattern in temperature sensitivity of soil microbial respiration across Chinese forest ecosystems

Wang, Qingkui; Liu, Shengen; Tian, Peng

doi:10.1111/gcb.14105

Cited by 119 publications

(116 citation statements)

References 48 publications

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“…Many factors, such as precipitation, vegetation type, soil properties or human activities, exert effects on SOC decomposition. (b) Many studies have used laboratory incubations (Lefèver et al, ; Plante et al, ; Wang, Liu, & Tian, ) and maintained a controlled environment to characterize and compare C and nutrient fluxes in soils isolated from plants. However, the lack of continuous C inputs from vegetation reduces the reliability of extrapolating such results to natural ecosystems (Gu, Post, & King, ).…”

Section: Introductionmentioning

confidence: 99%

Temperature sensitivity of decomposition of soil organic matter fractions increases with their turnover time

et al. 2020

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Soil organic carbon (SOC) is an indicator of soil fertility. Global warming accelerates SOC decomposition, consequently, resulting in land degradation. Characterization of the response of SOC decomposition to temperature is important for predicting land development. A simulation model based on temperature sensitivity (Q10) of SOC decomposition has been used to predict SOC response to climate warming. However, uncertain Q10 leads to substantial uncertainties in the predictions. A major uncertainty comes from the interference of rainfall. To minimize this interference, we sampled surface (0–5 cm) soils along an isohyet across a temperature gradient in the Qinghai–Tibetan Plateau. The Q10 of bulk soil and the four soil fractions, such as light fraction (LightF), particulate organic matter (POM), hydrolyzable fraction (HydrolysF), and recalcitrant fraction (RecalcitF), were studied by 14C dating. Turnover time follows the order: LightF < POM < bulk soil < HydrolysF < RecalcitF. The Q10 follows the order: LightF (1.0) = POM (1.0) < HydrolysF (3.63) < bulk soil (5.93) < RecalcitF (7.46). This indicates that stable fractions are much more sensitive to temperature than labile fractions. We also suggest that protection mechanisms rather than molecular composition regulate SOC turnover. A new concept 'protection sensitivity' of SOC decomposition was proposed. Protection sensitivity relates to protection type and primarily controls Q10 variation. A simulation model based on the Q10 of individual fractions predicted SOC change and land development in the Qinghai–Tibetan Plateau in the next 100 years much effectively as compared to simulations based on one‐pool model (Q10 = 2) or bulk soil (Q10 = 5.93).

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Section: Introductionmentioning

confidence: 99%

Temperature sensitivity of decomposition of soil organic matter fractions increases with their turnover time

et al. 2020

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“…In recent decades, the Q 10 of SOC decomposition has gained increasing attention under the scenario of global warming because of its importance in regulating soil C cycling and potential response of SOC decomposition to climate change (e.g., Conant et al, ; Karhu et al, ; Wang et al, ). Numerous studies have attempted in exploring Q 10 .…”

Section: Introductionmentioning

confidence: 99%

“…Results from previous studies demonstrated that Q 10 values had a high variation. This variation was related to not only incubation and calculation methods (Hamdi, Moyano, Sall, Bernoux, & Chevallier, ; Lin, Zhu, & Cheng, ), but also soil property such as soil C quality (Hartley & Ineson, ; Wang et al, ), C:N ratio (Haddix et al, ), pH (Craine, Fierer, & McLauchlan, ) and microbes (Karhu et al, ; Thiessen, Gleixner, Wutzler, & Reichstein, ). These studies have advanced our understanding of Q 10 and its potential controlling factors.…”

Section: Introductionmentioning

confidence: 99%

“…However, a constant value of Q 10 is commonly used in several climate–carbon cycle models, hence leading to high uncertainty in the projection of feedback between terrestrial ecosystem C cycle and climate change. Furthermore, no comprehensive evaluation of the spatial variations of Q 10 with geographic variables at the global scale has been performed to date, thereby resulting in a lack of clarity regarding the underlying mechanisms of large variations in Q 10 , although a few studies investigated the spatial variations in Q 10 at a regional or continental scale (Fierer et al, ; Liu et al, ; Wang et al, ). Understanding the mechanisms governing the Q 10 of SOC decomposition is critical for predicting future atmospheric CO 2 concentrations and improving the accuracy of these predictions.…”

Section: Introductionmentioning

confidence: 99%

“…Soil C quality is an important factor affecting Q 10 (Conant et al, ; Fierer et al, ). On the fundamental principle of enzyme kinetics and the Arrhenius equation, more recalcitrant SOC with high activation energy of the decomposition has higher Q 10 , which is called C quality–temperature (CQT) hypothesis and widely used to explain the variation in Q 10 values (Liu et al, ; Wang et al, ). One underlying mechanism of the CQT hypothesis is that the biochemical recalcitrance of SOC affects soil microbial community and enzyme synthesis and their response to warming (Andrews, Matamala, Westover, & Schlesinger, ; Waldrop & Firestone, ).…”

Section: Introductionmentioning

confidence: 99%

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Global synthesis of temperature sensitivity of soil organic carbon decomposition: Latitudinal patterns and mechanisms

et al. 2019

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The response of soil organic carbon (SOC) decomposition to global warming is a potentially major source of uncertainty in climate prediction. However, the magnitude and direction of SOC cycle feedbacks under climate warming remain uncertain because of the knowledge gap about the global‐scale spatial pattern and temperature sensitivity (Q10) mechanism of SOC decomposition. Here, we collected data of Q10 and corresponding soil variables from 81 peer‐reviewed papers using laboratory incubation to explore how Q10 varied among different ecosystems at the global scale and whether labile and recalcitrant SOC pools had equal Q10 values. Q10 with a global average of 2.41 substantially varied among different ecosystems, ranging from the highest in cropland soils (2.76) and the lowest in wetland soils (1.84). Hump‐shaped correlations of Q10 values with the maximum at SOC = 190 g/kg and the minimum at clay = 37% were observed. However, the main influencing factors of Q10 differed among various ecosystems. Q10 values showed a clear decrease with increasing incubation temperature but no significant decrease above 25°C. In general, labile SOC was less sensitive than recalcitrant SOC to warming. Structural equation model analyses showed that total N and SOC accounted for 53% and 46%, respectively, of the variation in Q10 of labile SOC and recalcitrant SOC. This finding suggested that Q10 values of labile and recalcitrant SOC pools had different controlling factors. Our findings highlighted the importance of Q10’s variations in ecosystem types and the response of recalcitrant SOC to warming in predicting the soil C cycling and its feedback to climate change. Therefore, ecosystem type and difference in Q10 of labile and recalcitrant SOC should be considered to precisely predict the soil C dynamics under global warming. A http://onlinelibrary.wiley.com/doi/10.1111/1365-2435.13256/suppinfo is available for this article.

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Rising Temperature May Trigger Deep Soil Carbon Loss Across Forest Ecosystems

Pei

Pendall

et al. 2020

Advanced Science

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Significantly more carbon (C) is stored in deep soil than in shallow horizons, yet how the decomposition of deep soil organic C (SOC) will respond to rising temperature remains unexplored on large scales, leading to considerable uncertainties to predictions of the magnitude and direction of C-cycle feedbacks to climate change. Herein, short-term temperature sensitivity of SOC decomposition (expressed as Q 10) from six depths within the top 1 m soil from 90 upland forest sites (540 soil samples) across China is reported. Results show that Q 10 significantly increases with soil depth, suggesting that deep SOC is more vulnerable to loss with rising temperature in comparison to shallow SOC. Climate is the primary regulator of shallow soil Q 10 but its relative influence declines with depth; in contrast, soil C quality has a minor influence on Q 10 in shallow soil but increases its influence with depth. When considering the depth-dependent Q 10 variations, results further show that using the thermal response of shallow soil layer for the whole soil profile, as is usually done in model predictions, would significantly underestimate soil C-climate feedbacks. The results highlight that Earth system models need to consider multilayer soil C dynamics and their controls to improve prediction accuracy.

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Carbon quality and soil microbial property control the latitudinal pattern in temperature sensitivity of soil microbial respiration across Chinese forest ecosystems

Cited by 119 publications

References 48 publications

Temperature sensitivity of decomposition of soil organic matter fractions increases with their turnover time

Temperature sensitivity of decomposition of soil organic matter fractions increases with their turnover time

Global synthesis of temperature sensitivity of soil organic carbon decomposition: Latitudinal patterns and mechanisms

Rising Temperature May Trigger Deep Soil Carbon Loss Across Forest Ecosystems

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