Coupling loss characteristics of N-P-C through runoff and sediment in the hilly region of SE China under simulated rainfall.

Soil total carbon (TC), phosphorus (P), and nitrogen (N) exports from the weathered granite slopes are greatly influenced by the complex hydrological processes and terrain factors. In this study, the coupling loss characteristics of N-P-C via runoff and sediment were studied with two soil tanks under simulated rainfalls. Three soils respectively derived from the tillage layer (T-soil), laterite layer (L-soil), and sand layer (S-soil) were employed to determine the interactions of hydrology and topography on N-P-C exports under three rainfall intensities (1.5, 2.0, and 2.5 mm/min). The erosion degree of different soils displayed an order of S-soil > L-soil > T-soil. The results showed that surface flow was the main runoff form for L- and T-soil, while underground flow was predominant for S-soil. There was a linear correlation between sediment and surface flow (R2 > 0.78). Surface flow was the dominant pathway of P loss via runoff with underground flow being an important supplementation, and the main P loss pattern switched between dissolved phosphorus (DP) and particle phosphorus (PP) during the experiment. However, P lost via eroded sediment accounted for more than 94% of the TP loss amount. N presented an opposite trend to P and was mainly lost via underground flow. The main N loss form in surface and underground flow was NO3--N. Underground flow was the predominant total nitrogen (TN) loss pathway for S- and L-soil, followed by sediment and surface flow. For T-soil, TN lost via runoff was much greater than that carried by eroded sediment. TC for S-soil was mainly lost via underground flow while that for L- and T-soil was mostly lost via surface flow. Both N-P loss loads in surface flow and P loss load in underground flow were positively correlated with TC loss load (p < 0.05), indicating that the presence of organic matter brings about more nutrient losses. These results expand our understanding of the combined effects of rainfall intensity and erosion degree on runoff and sediment yields as well as N-P-C losses from the bare weathered granite slopes of SE China.

Correction to: Characteristics of phosphorus adsorption and desorption in erosive weathered granite area and effects of soil properties.

The correct Equations 11 and 12 is presented in this paper.

Characteristics of phosphorus adsorption and desorption in erosive weathered granite area and effects of soil properties.

Highly weathered acidic soils tend to have high phosphorus adsorption rates. Studying the differential phosphorus adsorption and desorption characteristics of these soils is of great significance to improve phosphorus utilization efficiency and reduce soil phosphorus loss in agricultural management. Erosive weathered granite soil (TL-Tillage layer, LL-Laterite layer, and SL-Sand layer) in Anji County, Zhejiang Province were selected for batch experiments and phosphorus fractionation test. The soil properties that are generally considered to have a greater impact on phosphorus adsorption and desorption are also studied. Derived from the Langmuir adsorption isotherm, the maximum absorption capacity (Qmax) of phosphorus in TL soil was greater than that in LL and SL soil. With a pH of 4.3-5.0, the three soils have the most phosphorus adsorption. The desorption ratio (Dr) in the SL soil is larger than the LL and TL soil. Six key soil property indicators can fit Qmax and Dr values well. Al-P is the main fraction in the phosphorus adsorption-desorption process. The particle size classification (PSC) method can be used to accurately calculate soil-specific surface area. The results of the soil phosphorus adsorption-desorption test can be used as an explanation of the results of artificial rainfall tests. Our results reveal the differential adsorption-desorption mechanism of eroded weathered granite soil, and provide a reference for selecting soil indicators for soil adsorption-desorption studies in different regions.

Effects of rainfall intensity and slope gradient on runoff and sediment yield from hillslopes with weathered granite.

The method of indoor artificial rainfall simulations was applied to compare the characteristics of runoff and sediment yield under different slope gradients (5°, 8°, 15°, and 25°) and rainfall intensities (30, 60, 90, 120, and 150 mm/h) for two kinds of different hillslopes with weathered granite and with exposed soils respectively from the laterite layer (L-soil) and sand layer (S-soil). The results show that the distribution of runoff yield significantly varied with soil types as the surface flow was predominant for L-soil while interflow was the main runoff form for S-soil. Both surface flow and sediment yield of L-soil was more than that of S-soil, and the changing trends for L-soil were more regular. The relationships between surface flow, sediment yield, and rainfall intensity can be expressed by power functions (R2 > 0.68). Interflow was positively related to slope gradient and displayed a single peak curve with the prolongation of runoff time. For S-soil, the surface flow increased with increasing slope gradient under light rainfall intensities but showed a decreasing trend under heavy rainfall intensities. Surface flow for L-soil showed a decreasing trend with increasing slope gradient under all rainfall intensities. The combined effects of slope gradient and rainfall intensity on runoff and sediment yield could be accurately described by linear correlation equations (R2 > 0.59). The impact of rainfall intensity on surface flow and sediment yield was much greater than that of slope gradient. Slope gradient presented a more significant effect on interflow. The eroded sediment consisted of a relatively higher content of clay, silt, and fine sand, which was approximately 1.26 times greater than the original soils. There was a grading limit of particle size (0.25 mm) for sediment transport. These results not only demonstrate the effects of rainfall intensity and slope gradient on sloping runoff and sediment yield but also provide valuable information for loss prediction and conservation of soil and water.