A study on soil erodibility in a combined experimental trampling and simulated rainfall experiment on a Stipa bungeana steppe in Huanxian County, Gansu Province, China

Abstract

Abstract: Soil erodibility differed with various combinations of experimental trampling and simulated rainfall. Under the same simulated rainfall condition, the soil erodibility factor, k, increased as the trampling intensity increased, suggesting that trampling enhanced grazing-induced erosion risk. However, the amplitude of the k value was apparently related to the levels of simulated rainfall: the k value changed in the sequence arid>natural>average>high. There was an interaction between the effects of trampling and simulated rainfall on the k value. Simulated rainfall reduced the trend of k value increase while an increase in trampling intensity did the opposite. A positive correlation was found between the k value and trampling intensity (Coefficient=0.741), and a negative correlation between k value and rainfall level (Coefficient=-0.378). Compared with traditional regression models, the artificial neutral network (ANN) model shows many advantages, such as self-studying, self-organizing, self-adapting and fault tolerance. Therefore k was calculated using the ANN model, based on the independent variables of accumulated trampling effects per unit area and simulated rainfall. The ANN model allows the complicated soil erodibility mechanisms to be skipped and to directly establish the relationship between soil erodibility and factors influencing it. e.g. trampling and rainfall. This study is an innovative attempt to evaluate soil erodibility more precisely.

CLC Number:

S155.4⁺7

LIN Hui-long,WANG Miao-miao, LI Xue-ling, WANG Zhao-qi. A study on soil erodibility in a combined experimental trampling and simulated rainfall experiment on a Stipa bungeana steppe in Huanxian County, Gansu Province, China[J]. Acta Prataculturae Sinica, 2010, 19(3): 76-87.

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