Using magnetic susceptibility measurements to differentiate soil drainage classes in central Iran

Gholamzadeh, Majid; Ayoubi, Shamsollah; Shahrivar, Fatemeh Sheikhi

doi:10.1007/s11200-018-0679-0

Cited by 9 publications

(1 citation statement)

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“…(Oliveira et al 2015). In this principle, it is influenced by the soil formation factors, pedogenic process (Dearing et al 2001, Gholamzadeh et al 2019, climate (Dearing et al 2001, Ayoubi & Mirsaidi 2019, fauna / flora (Dearing et al 1995) and relief (Jong et al 2000), soil drainage (Asgari et al 2018;), industrial and urbanized activities (Dankoub et al 2012, Naimi & Ayoubi 2013, Ayoubi et al 2014, Karimi et al 2017.…”

Section: Introductionmentioning

confidence: 99%

Pedotransfer functions to estimate some soil properties in Indian Black Earth, south of Amazonas State

Brito

Campos

Oliveira

et al. 2021

An. Acad. Bras. Ciênc.

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Agriculture needs methodologies that assist in the determination of soil attributes and variability mapping attributes with greater levels of detail. Therefore, the objective of this research was to evaluate magnetic susceptibility as auxiliary variable for estimating soil attributes in areas of Indian Black Earths in the south of Amazonas State.Three Indian Black Earth areas are located in the municipalities of Apuí and Manicoré -Amazonas, under uses with coffee, cocoa and pasture. The soils were collected at the crossing points in the depth of 0.00 -0.20 m, making a total of 88 sampling points/area, and totaling 264 samples. The points were georeferenced for geostatistical modeling.After that, physical and chemical analyzes were performed to obtain the values of soil and magnetic susceptibility attributes. Descriptive statistics, Pearson correlation, linear regression and geostatistical analyzes were applied for Pedotransfer Function modeling and the spatial variability of the analyzed attributes. Magnetic susceptibility showed a high degree of spatial dependence in the study areas, high range values, correlating with most of the assessed attributes, mainly physical, indicating potential in the prediction of the attributes in these environments. Pedotransfer functions vary among IBE's sites in attribute prediction, ensuring moderate estimates for predicting soil attributes in IBE's areas.

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