Deep carbon dioxide flows substantially contributes to soil-atmosphere carbon flux from Robinia pseudoacacia forests

Hao, Wei Min; Li, Binbin; Xia, Bin; Xu, Mingxiang

doi:10.1016/j.ecolind.2022.109062

Cited by 4 publications

(1 citation statement)

References 89 publications

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“…The interannual variation trends depicted in Figure 2d-f exhibit notable spatial heterogeneity, with a drying trend in high-altitude areas (above 4000 m) and a wetting trend in the northeast and surrounding areas of Qinghai Lake. Notably, the pixel percentage of extremely significant increase trend in deep soil reaches 23.06%, which means that the area showing a positive trend in deep soil has increased by about 20% compared with other depths, emphasizing the deep soil has undergone a humidifying stage [43]. The background and variation in soil temperature are shown in Figure 3.…”

Section: Interannual Variation Trendsmentioning

confidence: 96%

Hydrothermal Conditions in Deep Soil Layer Regulate the Interannual Change in Gross Primary Productivity in the Qilian Mountains Area, China

Wei,

Zhang,

et al. 2023

Forests

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The variability in soil hydrothermal conditions generally contributes to the diverse distribution of vegetation cover types and growth characteristics. Previous research primarily focused on soil moisture alone or the average values of soil hydrothermal conditions in the crop root zone (0–100 cm). However, it is still unclear whether changes in gross primary productivity (GPP) depend on the hydrothermal conditions at different depths of soil layers within the root zone. In this study, the soil hydrothermal conditions from three different layers, surface layer 0–7 cm (Level 1, L1), shallow layer 7–28 cm (Level 2, L2), and deep layer 28–100 cm (Level 3, L3) in the Qilian Mountains area, northwestern China, are obtained based on ERA5-Land reanalysis data. The Sen-MK trend test, Pearson correlation analysis, and machine learning algorithm were used to explore the influence of these three soil hydrothermal layers on GPP. The results show that soil moisture values increase with soil depth, while the soil temperature values do not exhibit a stratified pattern. Furthermore, the strong correlation between GPP and deep soil hydrothermal conditions was proved, particularly in terms of soil moisture. The Random Forest feature importance extraction revealed that deep soil moisture (SM-L3) and surface soil temperature (ST-L1) are the most influential variables. It suggests that regulations of soil hydrothermal conditions on GPP may involve both linear and nonlinear effects. This study can obtain the temporal and spatial dynamics of soil hydrothermal conditions across different soil layers and explore their regulations on GPP, providing a basis for clarifying the relationship between soil and vegetation in arid mountain systems.

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Section: Interannual Variation Trendsmentioning

confidence: 96%

Hydrothermal Conditions in Deep Soil Layer Regulate the Interannual Change in Gross Primary Productivity in the Qilian Mountains Area, China

Wei,

Zhang,

et al. 2023

Forests

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Evaluation of soil CO2 efflux and its influence factors in a revegetated area in Tengger Desert, NW China

Nan,

Huang,

Yang

et al. 2023

Environ Earth Sci

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Soil profile CO2 transport and production are vital in the carbon stock in desert artificial vegetation ecosystem. In this study, the soil profile CO2 concentration, soil water content and temperature at depths of 0-40 cm were measured at four revegetated sites (1956, 1964, 1981 and 1987), located in the southeastern edge of Tengger desert, China. The gradient method was applied to simulated soil gas diffusion coefficient and soil profile CO2 efflux. We found that the soil profile CO2 concentration increased with depths, while the soil CO2 diffusion coefficient, soil CO2 efflux and production in upper layers were significantly higher than those in bottom layers. The CO2 diffusion coefficient decreased at first and then increased with revegetation age. The soil profile CO2 concentration, CO2 efflux and production increased with revegetation age. The simulated soil surface CO2 efflux were 0.54 μmol•m −2 •s −1 , 0.49 μmol•m −2 •s −1 , 0.44 μmol•m −2 •s −1 and 0.25 μmol•m −2 •s −1 at 1956, 1964, 1981 and 1987 revegetated sites, respectively. The soil surface CO2 efflux mainly came from the layers of 0-10 cm, which contributed to 76.4% -94.9% of the total. The structural equation modeling (SEM) explained 97.0% of the variations in soil surface CO2 efflux (F0). The effects of soil CO2 concentration, temperature and water content in the layers of 10 cm, and plant properties on soil surface CO2 efflux were 0.977, 0.516, -0.358 and -0.156, respectively, and the interaction between soil temperature and water content was 0.439, which meant that the soil temperature and water content significantly influenced soil CO2 efflux.

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Differential responses of soil CO2 dynamics along soil depth to rainfall patterns in the Chinese Loess Plateau

Yang,

Wang,

Yang

et al. 2025

Agriculture, Ecosystems & Environment

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Deep carbon dioxide flows substantially contributes to soil-atmosphere carbon flux from Robinia pseudoacacia forests

Cited by 4 publications

References 89 publications

Hydrothermal Conditions in Deep Soil Layer Regulate the Interannual Change in Gross Primary Productivity in the Qilian Mountains Area, China

Hydrothermal Conditions in Deep Soil Layer Regulate the Interannual Change in Gross Primary Productivity in the Qilian Mountains Area, China

Evaluation of soil CO2 efflux and its influence factors in a revegetated area in Tengger Desert, NW China

Differential responses of soil CO2 dynamics along soil depth to rainfall patterns in the Chinese Loess Plateau

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