The effect of land uses and rainfall regimes on runoff and soil erosion in the semi-arid loess hilly area, China
Introduction
Soil erosion, defined as the detachment and displacement of soil particles from the surface to another location (Govers et al., 1990, Flanagan, 2002), continues to be a primary cause of soil degradation throughout the world (Fu and Gulinck, 1994), and has become an issue of significant and severe societal and environmental concern (Elsen et al., 2003, Singha et al., 2006). Land use/cover, as one of the most important factors, influences the occurrence and the intensity of runoff and sediment yield (Hovius, 1998, Karvonen et al., 1999, Chen et al., 2001). Non-uniform variations in land use/vegetation coverage proved to be closely related to hydrological responses over catchments (Siriwardena et al., 2006). By properly adjusting of land use/land cover patterns, soil properties can be greatly improved, consequently reducing soil erosion to the allowed threshold (Fu, 1989, Chen et al., 2003), and the improved soil physical properties can also positively affect the establishment of vegetation (Kosmas et al., 2000). On the other hand, improper land use and/or cover patterns can cause severe water, soil and nutrient losses, and further land degradation (Luk et al., 1989, Costa et al., 2003).
Runoff and erosion processes, however, are strongly affected by many other factors besides land use/land cover. Among these factors, the one most mentioned is rainfall. Rainfall can cause soil erosion and runoff when it reaches the ground (Sharma et al., 1993, Dijk et al., 2002, Kinnell, 2005). Also, the spatiotemporal heterogeneity and uneven characteristics of rainfall play a key role in soil erosion (Li et al., 2000, Nearing, 2001, Bürger, 2002, Endale et al., 2006). Morin et al. (2006) found that complex interactions exist between the spatiotemporal distributions of rainfall systems and watershed hydrological responses. Local storm patterns are important in determining the shape of the runoff hydrograph (de Lima and Singh, 2002). Runoff and sediment generation in different land use types may thus vary greatly with various rainfall types. Addressing the response of runoff/erosion to different land use/land cover types and different rainfall types is therefore important for land use structure adjustment and vegetation restoration.
Rainfall classification, however, is an important problem, which needs to be solved. Most studies focused on the response of the runoff/erosion process to single rainfall pattern and different vegetation types (Yeh et al., 2000, de Lima et al., 2003, Kirkby et al., 2005). Undoubtedly, controlling soil erosion requires much more detailed and accurate data in the real world (Elsen et al., 2003). Many studies, however, are based on rainfall simulations, and thus the conclusions are often not applicable to the real world. For example, some authors have suggested that the nozzles of rainfall simulators produce low kinetic energies relative to natural rainfall (Luk et al., 1986). Madden et al. (1998) also found that the kinetic energy and erosivity of rainfall produced by simulators could be lower than that of natural rainfall. This insufficiency of energy plays an important role in infiltration capacity, preventing surface crusting and sediment detachment (Mathys et al., 2005). Other results also show that rainfall simulators are unable to reproduce natural rainfall conditions (Aizen et al., 2000, Mazi et al., 2004, Nearing et al., 2005). Accordingly, finding real rainfall-runoff-sediment patterns based on measurements are important for soil erosion control.
Soil loss and runoff studies at plot scales have been confirmed to be of crucial importance (Licznar and Nearing, 2003). Reliable and consistent erosion measurements and extensive field data have played primary roles in soil erosion analysis and prediction on larger scales (Zhang et al., 1996, Nearing et al., 1999). In addition, soil properties are always affected by land uses/vegetation evolution over long time scales (e.g., months-centuries), which then further influence runoff and soil erosion (Eagleson, 1982, Xu, 2005). For example, the accumulation of litter under plants contributes to increased surface roughness, higher infiltration rates, and decreased runoff generation thresholds (Boer and Puigdefábregas, 2005). Bochet et al. (1999) also found that topsoil modification and erosion processes are mainly due to the differential influences of species morphology (i.e., above-ground structure) and components (i.e., litter cover and organic matter). Moreover, the impact of plant roots on soil resistance to erosion by water is also significant (Hou, 1990, Zou et al., 2000, Gyssels et al., 2005, Mao et al., 2006). In general however, these kinds of long-term consecutive studies in arid and semi-arid areas are relatively scarce.
In this study, based on 14 years of field measurements in plots in a semi-arid loess hilly area, 131 rainfall events that produced runoff were recorded. On the basis of rainfall depth, duration and maximum 30-min intensity, all the events were classified into three categories. They were then used to analyze the effects of varying land uses and rainfall regimes on runoff and soil erosion. The specific objectives were: (1) to analyze the effects of land use/land cover on soil and water loss, (2) to determine the response of runoff and soil erosion to different rainfall regimes, and (3) to study the role of different land use types on soil erosion control under different rainfall regimes.
Section snippets
Study area
Our experiments were all conducted in a small catchment, Anjiapo Catchment, Dingxi, Gansu province, China (35°35′N, 104°39′E) in the middle reaches of the Yellow River (Fig. 1). This region is dominated by a temperate terrestrial climate with warm-humid summers and cold-dry winters. The average annual precipitation is about 427 mm, of which more than 80% falls from May to September. The potential annual transpiration, however, can reach 1510 mm. The mean monthly temperature ranges from −7.6 °C to
Rainfall regimes
Using K-means clustering, the 131 rainfall events were divided into three groups based upon three rainfall eigenvalues, including rainfall depth, duration and maximum 30-min intensity (Table 1).
In general, Rainfall Regime III has the highest values of mean rainfall depth and duration, followed by Rainfall Regime I and Rainfall Regime II. Mean maximum 30-min intensity, however, decreases in the order of Rainfall Regime II, Rainfall Regime I and Rainfall Regime III. Average rainfall eigenvalues
Effects of land uses on runoff and soil loss
In this study we found that runoff and soil loss varied among land use types (Table 2). This was explained in various ways by different scholars. First of all, vegetation canopy was thought to play a key role in protecting surfaces from erosion (Hovius, 1998, Karvonen et al., 1999, Xu, 2005, Pizarro et al., 2006). For example, Hou et al. (1996) found that when the coverage rate of vegetation increased from 10%, to 28%, 56% and 60%, soil erosion decreased from 1523 t km−2 to 527 t km−2, 218 t km−2 and
Conclusion and suggestion
In this study, three rainfall regimes were classified using K-means clustering based on rainfall depth, intensity and duration. Rainfall Regime II is the dominant aggregation of rainfall events, which have such features as high intensity, short duration and high frequency. Rainfall Regime I is the aggregation of rainfall events of medium intensity, duration and frequency. Rainfall Regime III is the aggregation of rainfall events of weak intensity, long duration and low frequency.
Results showed
Acknowledgements
The authors thank the Dingxi Institute of Soil and Water Conservation in Gansu province for providing experimental plots and pure-hearted field assistance. Sincere thanks are also expressed to Gansu Research Institute of Forestry. Ms. Victoria Wilhoite, at the University of South Florida School of Library and Information Science, is acknowledged for her valuable comments and English improvement. The authors express their appreciation to the reviewers by whose constructive remarks this paper has
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