Insight into the rainfall-soil moisture (SM) response to land cover is critical for soil hydrological process modeling and management. In this study, five typical land-cover types (forest, shrub, grass, crop, and bare land) and four rainfall patterns (heavy, intermediate, light, and continuous rains) were selected to assess the effects of SM response characteristics on the Loess Plateau of China. We monitored SM at five depths on each land-cover type at 1-h intervals over the growing season of 2019. The results showed that rainfall patterns and land-cover typestogether determined the SM response process and infiltration efficiency. A minimum accumulated rainfall amount of 5 mm was the threshold to trigger a 10-cm SM response. Rain events with higher intensity and smaller sum triggered a quick surface SM response, while larger amounts could percolate deeper and faster. Land-cover change significantly altered the rainfall-SM response dynamics and rainwater utilization efficiency after 20 years of ecological construction. Revegetation sites (mean values of forest, shrub, and grass) increased the soil wetting depth by 14.7%, shortened the SM response time by 27.3%, and accelerated the SM wetting front velocity by 67.2%, which promoted a 35.2% rainfall transformation rate (RTR) across the 1-m profile over all rainfall events (R 1-13). Moreover, planted forest showed the highest RTR of R 1-13 and the maximal increase in soil water storage, which did not aggravate the soil water deficit across the 1-m profile over the growing season. Therefore, we present evidence that planted forests, instead of shrubs, may be beneficial for water conservation if precipitation is greater than 550 mm. The findings of this study prove the role of revegetation on rainwater infiltration capacity and efficiency and can help improve the management of afforestation in arid and semiarid regions.

The diffusion of carbon mineralization in vertical profiles is an important process of CO2 emission. However, due to the relatively slow and lagging change of subsoil environment compared with the surface soil, the process of carbon mineralization and diffusion is often ignored, and the process and mechanism of deep carbon transfer to the soil-atmosphere interface are still unclear. we studied the vertical difference of CO2 flux and its driving mechanism in Robinia pseudoacacia plantation of different stand ages. The results show that: (1) in the 0-200cm layer, the CO2 flux shows a double peak seasonal trend. Among them, the total CO2 flux of Robinia pseudoacacia forest in 10 years was larger. (2) Dynamic evaluation can reduce the uncertainty of static evaluation, and the contribution of deep CO2 flux to the soil atmosphere interface is stable, between 21.81-24.42%; (3)Temperature sensitivity of CO2 flux (expressed as Q10) significantly increases with soil depth, and the response of water to CO2 flux is different at different section. There is a significant correlation between the deep CO2 flux and soil organic carbon (SOC), but there is a reverse feedback effect in the shallow profile. (4) T & M & C model is more conducive to the accurate prediction of deep CO2 flux. All in all, this study is of great significance to the study of the stability of deep soil carbon, the dynamic change of soil carbon pool and the mechanism of deep carbon diffusion to the surface in the loess hilly area.