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Prediction and mapping of erodibility factors (USLE and WEPP) by magnetic susceptibility in basalt-derived soils in northeastern São Paulo state, Brazil
Spatial assessment of soil erosion is essential for the adaptation of agricultural practices and monitoring of soil losses. In this sense, this study aims to assess the efficiency of magnetic susceptibility (MS) as a predictor of soil erodibility factors ( K for USLE model; K i and K r for WEPP mode...
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Published in: | Environmental earth sciences 2019, Vol.78 (1), p.1-12, Article 12 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Spatial assessment of soil erosion is essential for the adaptation of agricultural practices and monitoring of soil losses. In this sense, this study aims to assess the efficiency of magnetic susceptibility (MS) as a predictor of soil erodibility factors (
K
for USLE model;
K
i
and
K
r
for WEPP model) fora detailed mapping of Oxisols with different iron contents in northeastern São Paulo State, Brazil. This study was carried out in an area of 380 hectares under sugarcane cultivation in São Paulo State. Soil samples were collected in a sampling grid (150) and in a transect (86) and physical and chemical analyses and calculations of the erodibility factors/parameters
K, K
i
, and
K
r
were performed. Pedotransfer functions (PTFs) were calibrated using simple linear regression analysis to predict the factors/parameters
K
and
K
i
using MS as a predictor variable. The observed values of MS and the predicted values of the factors/parameters
K, K
i
, and
K
r
were submitted to geostatistical analysis for constructing maps. Magnetic susceptibility can be used as a predictor of erodibility factors (
K
for USLE model;
K
i
and
K
r
for WEPP model) for Oxisols with total iron content ranging from 1 to 20% Fe
2
O
3
, with a precision of up to 60% and an accuracy of up to 85%. The results can guide future studies on water erosion in a tropical environment using magnetic soil data as an environmental covariate in the modeling process for large areas. |
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ISSN: | 1866-6280 1866-6299 |
DOI: | 10.1007/s12665-018-8015-0 |