ORIGINAL RESEARCH
Effects of Bothriochloa ischaemum Characteristics Induced by Nitrogen Addition on the Process of Slope Runoff and Sediment Yield
Panpan Li 1  
,   Binbin Li 2  
,   Jianfang Wang 1  
,   Guobin Liu 1  
 
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1
State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi, China
2
University of Chinese Academy of Sciences, Beijing, China
CORRESPONDING AUTHOR
Guobin Liu   

Northwest A&F University, China
Submission date: 2019-12-29
Final revision date: 2020-03-15
Acceptance date: 2020-03-16
Online publication date: 2020-09-08
Publication date: 2020-10-05
 
Pol. J. Environ. Stud. 2021;30(1):215–226
 
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ABSTRACT
Nitrogen deposition has great effects on vegetation characteristics and then affects soil erosion. This study was conducted to quantify the effects of vegetation characteristics induced by nitrogen addition on runoff and sediment yield. The Bothriochloa ischaemum (Linn.) Keng. was planted and applied NH4NO3 at levels of 0, 2.5, 5, and 10 g N m-2 yr-1 for three years with the bare soil for control. Then all treatments were subjected to simulated rainfall (1.0, 1.5, and 2.0 mm min-1). Results showed that nitrogen addition increased plant coverage, height, and aboveground biomass of N2.5, N5 and N10 treatments, while the root mass density of N10 was the minimum. The grassplots significantly delayed runoff starting time, reduced runoff and sediment yield. With nitrogen addition increasing, runoff starting time delayed and runoff amount decreased, although no significant difference of runoff amount was found under the high rainfall intensity. Moreover, sediment yield would be well estimated by runoff mount, coverage and root mass density with a power function. 5 g N m-2 yr-1 seems the optimal nitrogen level in controlling soil loss due to its minimum sediment yield. The different effects of nitrogen addition on grassland community and soil erosion process identified in this study may facilitate the simulation and prediction of soil erosion in semiarid grasslands under future scenarios of global change.
eISSN:2083-5906
ISSN:1230-1485