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:: Volume 15, Issue 2 (8-2021) ::
مرتع 2021, 15(2): 256-268 Back to browse issues page
Soil compaction assessment at different grazing intensities using Adaptive Neuro-Fuzzy Inference System (Case study: Sabalan south eastern rangelands, Ardabil province)
Jila Ghorbani , Kiomars Sefidi, Farshad Keivan Behjoo, Zeinab Jafarian, Mehdi Moameri
Department of Range Management, Faculty of Natural Resources, Sari University of Agricultural Sciences and Natural Resources, Sari
Abstract:   (296 Views)
   Grazing intensity should follow the management roles to prevent the soil compaction. Soil compaction decreases plant root penetration so that at 2 MPa the root extension and above ground biomass will stop. In this research, digital penetrometer was used to assessment the soil compaction level in Sabalan region in Ardabil province caused by livestock. Grazing intensity and distance from village were evaluated as independent variables. The results show that the grazing intensity and distance from village have significant effect on soil compaction at 1 percent of probability level. Grazing intensity at closer distance (200 m) increases the soil compaction and reduce the soil penetration. Modeling of different grazing intensities was made by ANFIS approach at MATLAB software. For assessment of models’ operation, root mean square error (RMSE) and correlation coefficient (R2) were used and the best model was determined. The results of best ANFIS model for prediction of soil compaction (RMSE=7.223 and R2=0.967) was compared with the result of regression model (RMSE=11.518 and R2=0.918). The results show that the ANFIS model had more R2 and less RMSE consequently more accuracy than the regression model.
Keywords: Grazing intensity, penetrometer, ANFIS, Modeling, Soil Compaction.
Full-Text [PDF 459 kb]   (135 Downloads)    
Type of Study: Research | Subject: Special
Received: 2021/08/6 | Accepted: 2021/08/1 | Published: 2021/08/1
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Ghorbani J, Sefidi K, Keivan Behjoo F, Jafarian Z, Moameri M. Soil compaction assessment at different grazing intensities using Adaptive Neuro-Fuzzy Inference System (Case study: Sabalan south eastern rangelands, Ardabil province). مرتع. 2021; 15 (2) :256-268
URL: http://rangelandsrm.ir/article-1-1036-en.html


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Volume 15, Issue 2 (8-2021) Back to browse issues page
مرتع Rangeland
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