Digital mapping of soil aggregate stability and the effectiveness of soil erosion control practices in Behbahan region

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Razavi Hosain Abad Manizheh; Amirian Chekan Alireza; FARAJI MOHAMMAD; Mosavian Jamal

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Journal: Journal of Range and Watershed Managment Year:2021 | Volume:73 | Issue:4 Page(s): 771-785

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Information Journal Paper

Title

Digital mapping of soil aggregate stability and the effectiveness of soil erosion control practices in Behbahan region

Author(s)

Razavi Hosain Abad Manizheh | Amirian Chekan Alireza | FARAJI MOHAMMAD | Mosavian Jamal | Issue Writer Certificate

Keywords

Artificial Neural NetworksQ1

Digital Soil MappingQ2

Regression TreeQ1

Spatial ModelingQ1

Abstract

Soil aggregate stability and its spatial distribution can be considered as a good indicator for assessing the results of measures conducted for mitigation soil erosion. This study was conducted in two adjacent sites in Chahmari region, Kuzestan province. At one site afforestation and contour furrowing were conducted to control soil erosion and the adjacent site with no controlling measures was considered as control. A total of 150 soil samples were collected from the surface layer (0-5 cm) of two sites and mean weight diameter of aggregates (MWD) were measured using dry and wet sieving (MWDd and MWDw, respectively). Based on Digital Soil Mapping (DSM) approach and to map MWD spatially, several environmental covariates were derived from a Landsat 8 image and a digital elevation model (DEM). Two machine learning algorithms including Artificial Neural Networks (ANN) and Regression Trees (RT) were used to predict MWD with covariates as inputs. Results indicated a significant difference between MWDd in two sites, but no significant difference was found between MWDw. Correlation analysis revealed no correlation between MWDw and all terrain attributes derived from the DEM, but significant correlations were obtained between MWDd and some terrain attributes. Most covariates derived from Landsat images had significant correlation with both MWDw and MWDd. ANN and TR had relatively high and almost the same accuracy in predicting MWDw, but in predicting MWDd, ANN was superior to RT. In general, the findings showed good performance of DSM techniques in predicting and spatial mapping of MWD.

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APA: Copy

Razavi Hosain Abad, Manizheh, Amirian Chekan, Alireza, FARAJI, MOHAMMAD, & Mosavian, Jamal. (2021). Digital mapping of soil aggregate stability and the effectiveness of soil erosion control practices in Behbahan region. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), 73(4 ), 771-785. SID. https://sid.ir/paper/388959/en

Vancouver: Copy

Razavi Hosain Abad Manizheh, Amirian Chekan Alireza, FARAJI MOHAMMAD, Mosavian Jamal. Digital mapping of soil aggregate stability and the effectiveness of soil erosion control practices in Behbahan region. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES)[Internet]. 2021;73(4 ):771-785. Available from: https://sid.ir/paper/388959/en

IEEE: Copy

Manizheh Razavi Hosain Abad, Alireza Amirian Chekan, MOHAMMAD FARAJI, and Jamal Mosavian, “Digital mapping of soil aggregate stability and the effectiveness of soil erosion control practices in Behbahan region,” JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), vol. 73, no. 4 , pp. 771–785, 2021, [Online]. Available: https://sid.ir/paper/388959/en

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