FU Han, ZHENG Fenli, QIN Chao, et al. Effects of Crop Rotation on Preventing Hillslope Soil Erosion and Its[J]. 2019, 33(1): 14-19.
DOI:
FU Han, ZHENG Fenli, QIN Chao, et al. Effects of Crop Rotation on Preventing Hillslope Soil Erosion and Its[J]. 2019, 33(1): 14-19. DOI: 10.13870/j.cnki.stbcxb.2019.01.003.
Effects of Crop Rotation on Preventing Hillslope Soil Erosion and Its
Crop rotation affects dynamic changes of C factor in USLE and reduces hillslope soil erosion by improving soil properties. Based on six years observation data of runoff
soil loss and rainfall from the soybean-red adzuki bean rotation and bare-fallow runoff plots in the thin layer Mollisol region of the Northeast China
this paper analyzed erosive rainfall characteristics
discussed effects of crop rotation on preventing hillslope soil erosion
and explored yearly and monthly changes (May-October) of C factor (crop cover and management) during 2011-2016. The results showed that all erosive rainfall in the study area occurred from May to October
which occupied 32.5% to 68.1% of annual precipitation
and its distribution of inter-annual was uneven. For the bare-fallow runoff plot with 5° slope gradient
soil erosion mainly occurred in June to August and annual runoff and soil loss was 48.4 mm and 1 388.2 t/(km2·a) respectively; while for the crop rotation plot with 5° slope gradient
soil erosion mainly occurred in May to July and annual runoff and soil loss was 19.5 mm and 166.7 t/(km2·a) respectively. Compared with the bare-fallow plots
average annual runoff and soil loss from crop rotation plot under 5° slope gradient were decreased by 59.7% and 88.0%
respectively. Average yearly C value for crop rotation plots was 0.12. For soybean crop
C value was 0.04
ranging from 0.007 to 0.080; and for red adzuki bean
C value was 0.38
ranging from 0.28 to 0.46. Monthly C values of soybean and red adzuki bean varied between 0.01~0.24 and 0.01~0.80
respectively. The soybean-red adzuki bean rotation had a significant effect on preventing hillslope soil erosion in the thin layer Mollisol region of the Northeast China. The results provided scientific basis for quantitative evaluation of soil erosion and prediction model establishment in thin layer Mollisol region of the Northeast China.
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Related Institution
State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University
Faculty of Arts and Sciences, Beijing Normal University at Zhuhai
State Key Laboratory of Water Engineering Ecology and Environment in Arid Area, Xi'an University of Technology
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University
State Key Laboratory of Soil and Water Conservation and Desertification Control,College of Soil and Water Conservation Science and Engineering (Institute of Soil and Water Conservation), Yangling