Effect of rain enrichment on soil respiration of Nitraria sphaerocarpa community in a hyperarid area

In order to analyze the effect of rain enrichment on soil respiration rate of a Nitraria sphaerocarpa community, we measured soil respiration rate in bare and vegetated areas in a hyperarid area （Dunhuang） during the growing season. Results show that rain enrichment can increase bare and vegetated soil respiration rates. The more rainfall enrichment, the greater the increment and the longer duration time effect for soil respiration rate. 200% （16 mm） and 300% （24 mm） of rain enrichment can significantly increase bare soil respiration rates by 90% and 106% （P〈0.01）, respectively. By contrast, areas with 100% （8 mm）, 200% （16 mm） and 300% （24 mm） of rain enrichment can significantly increase shrub area respiration rates by 68%, 157% and 205% （P〈0.01）, respectively. The response time of bare and vegetated soil respiration to rainfall enrichment is asynchronous. Response variable of soil respiration in vegetated soil is higher （118%） than in bare soil. There was significant positive correlation between soil respiration rate and soil water content during the growing season （P〈0.01）. For every 1 mm increment of precipitation, soil respiration rate increased by 0.01 and 0.04 pmol/（m2.s）, respectively in vegetated and bare soils.

Evaluating the applicability of the water erosion prediction project(WEPP)model to runoff and soil loss of sandstone reliefs in the Loess Plateau,China

Soil erosion is one of the most serious environmental issues,especially in vulnerable areas such as the Pisha sandstone regions located in the Loess Plateau(China).In these types of reliefs,long-term studies monitoring runoff and soil loss are scarce,and even more considering the efficiency of different soil management techniques applied to reduce land degradation.In this study,seven years(2014-2020)of in-situ measurements of surface runoff and soil loss for different land uses(forestland,shrubland,grassland,farmland,and bare land)in a Pisha Sandstone environment at the Loess Plateau were con-ducted.We applied the Water Erosion Prediction Project(WEPP)model combining the large database with the precipitation regimes.Our results showed that runoff volume coming from observed and simulated data exhibited significant differences among them depending on the different vegetation types.Runoff and soil loss were different among diverse land use types as follows:farmland>grassland>shrubland>forestland.After conducting a calibration,we found satisfactorily simulated surface runoff and sediment yield based on precipitation regimes and land uses at sandstone reliefs.Simulation performance of surface runoff was better than sediment yield.The range of standard error of the model simulation for event and annual values of runoff were 4.71 mm and 12.19 mm,respectively.The standard error for event and annual values of soil loss were 4.19 t/hm^(2)and 21.86 t/hm^(2).In the calibration group,R2 of runoff and soil loss were 0.92 and 0.86 respectively,while Nash-Sutcliffe coefficient(E)reached 0.90 and 0.85,respectively.In the validation group,the R2 for both runoff and soil loss were 0.82 and 0.56,respectively.Nash-Sutcliffe coefficient(E)were 0.77 and 0.54 for the runoff and sediment yield.We concluded that using a detailed monitoring dataset,the WEPP model could accu-rately simulate and predict water erosion in the hillslopes of Pisha sandstone area.