Journal of Range and Watershed Managment

Predicting the soil fragmentation caused by grazing using adaptive neuro-fuzzy inference system (ANFIS)

Document Type : Research Paper

Authors

Zhila Ghorbani 1
Kiomars Sefidi 2
Farshad Keivan Behjou 3
Mehdi Moameri 4
Ali Ashraf Soltani Tolarod 5

1 MSc of rangeland, Graduated from University of Mohaghegh Ardabili

2 Assistant professor of sciences and industry of wood and paper, Faculty of agricultural sciences and natural resources, University of Mohaghegh Ardabili

3 Associate professor of rangeland and watershed, Faculty of agricultural sciences and natural resources, University of Mohaghegh Ardabili

4 Assistant professor of University of Mohaghegh Ardabili

5 Assistant professor of sciences and engineering of soil, Faculty of agricultural sciences and natural resources, University of Mohaghegh Ardabili

https://doi.org/10.22059/jrwm.2019.255862.1250
Abstract
The most current way for measuring the soil fragmentation is determination of mean weight diameter (MWD). In this study, the adaptive neuro-fuzzy inference system (ANFIS) was used to predict of range soil fragmentation affected by different grazing intensities, distance from village and sampling depth. Present study conducted at 2015 in 3 adjacent rural areas (Alvars, Aldashin and Asbe marz) in Darvishchai watershed in Ardabil County. The studied parameters on the soil fragmentation including different grazing intensities in 3 levels (low, medium and high intensity), distance from village in 3 levels (200, 400 and 600 meters) and the soil sampling depths in 2 levels (0-15cm and 15-30cm). Obtained data were transferred to MATLAB software for the development of ANFIS models. For evaluating the models operation, mean squares error (MSE) and correlation (R2) were used. The result of best ANFIS model in prediction of soil fragmentation was compared with results of regression model. The results show that different grazing intensities, distance from village, sampling depth and their combinations had significant effect on the soil fragmentation. Increase of grazing intensity resulted in increment of soil fragmentation. With increment the distance from village from 200 to 400 meters, soil fragmentation decreased but with increment of distance, increased. Soil fragmentation in all conditions was higher at depth of 0-15 cm than depth of 15-30 cm. ANFIS model had more precision in prediction of soil fragmentation (R2=0.96) relative to regression model (R2=0.76).

Keywords

grazing intensity
soil fragmentation
clods mean weight diameter
Artificial Intelligence
ANFIS
Journal of Range and Watershed Managment
Volume 72, Issue 2
Summer 2019
Pages 557-568

  • Receive Date 18 April 2018
  • Revise Date 22 July 2019
  • Accept Date 30 July 2019
  • Publish Date 23 August 2019

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