Using magnetic susceptibility mapping for assessing soil degradation due to water erosion
This study focused on developing a method for estimating topsoil organic carbon content from measured mass-specific magnetic susceptibility in Chernozems heavily affected by water erosion. The study was performed on a 100 ha area, whereby 202 soil samples were taken. A set of soil samples was divide...
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| Format: | Article |
| Language: | English |
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Czech Academy of Agricultural Sciences
2016-06-01
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| Series: | Soil and Water Research |
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| Online Access: | https://swr.agriculturejournals.cz/artkey/swr-201602-0005_using-magnetic-susceptibility-mapping-for-assessing-soil-degradation-due-to-water-erosion.php |
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| author | Ondřej JAKŠÍK Radka KODEŠOVÁ Aleš KAPIČKA Aleš KLEMENT Miroslav FÉR Antonín NIKODEM |
| author_facet | Ondřej JAKŠÍK Radka KODEŠOVÁ Aleš KAPIČKA Aleš KLEMENT Miroslav FÉR Antonín NIKODEM |
| author_sort | Ondřej JAKŠÍK |
| collection | DOAJ |
| description | This study focused on developing a method for estimating topsoil organic carbon content from measured mass-specific magnetic susceptibility in Chernozems heavily affected by water erosion. The study was performed on a 100 ha area, whereby 202 soil samples were taken. A set of soil samples was divided into 3 subsets: A (32 samples), B (67 samples), and C (103 samples). The mass-specific magnetic susceptibility using low (χlf) and high (χhf) frequency, and organic carbon content were measured at all soil samples. The contents of iron and manganese, extracted with a dithionite-citrate solution (Fed, Mnd) and ammonium oxalate (Feo, Mno), were quantified in A and B samples. Models for predicting organic carbon content from magnetic susceptibilities were designed as follows: (1) subset A was used as the training set for calibration, and subsets B and C were used as the test sets for model validation, either separately (subset B only), or together (merged subsets B and C); (2) merged subsets A and B were used as the training set and subset C was used as the test set. Results showed very close correlations between organic carbon content and all measured soil properties. Obtained models relating organic carbon content to mass-specific magnetic susceptibility successfully predicted soil organic carbon contents. |
| first_indexed | 2024-04-10T08:04:01Z |
| format | Article |
| id | doaj.art-5df0eb525a8b445bb132ac51a3d03561 |
| institution | Directory Open Access Journal |
| issn | 1801-5395 1805-9384 |
| language | English |
| last_indexed | 2024-04-10T08:04:01Z |
| publishDate | 2016-06-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Soil and Water Research |
| spelling | doaj.art-5df0eb525a8b445bb132ac51a3d035612023-02-23T03:48:32ZengCzech Academy of Agricultural SciencesSoil and Water Research1801-53951805-93842016-06-0111210511310.17221/233/2015-SWRswr-201602-0005Using magnetic susceptibility mapping for assessing soil degradation due to water erosionOndřej JAKŠÍK0Radka KODEŠOVÁ1Aleš KAPIČKA2Aleš KLEMENT3Miroslav FÉR4Antonín NIKODEM5Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic;Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic;Institute of Geophysics of the CAS, Prague, Czech RepublicDepartment of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic;Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic;Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic;This study focused on developing a method for estimating topsoil organic carbon content from measured mass-specific magnetic susceptibility in Chernozems heavily affected by water erosion. The study was performed on a 100 ha area, whereby 202 soil samples were taken. A set of soil samples was divided into 3 subsets: A (32 samples), B (67 samples), and C (103 samples). The mass-specific magnetic susceptibility using low (χlf) and high (χhf) frequency, and organic carbon content were measured at all soil samples. The contents of iron and manganese, extracted with a dithionite-citrate solution (Fed, Mnd) and ammonium oxalate (Feo, Mno), were quantified in A and B samples. Models for predicting organic carbon content from magnetic susceptibilities were designed as follows: (1) subset A was used as the training set for calibration, and subsets B and C were used as the test sets for model validation, either separately (subset B only), or together (merged subsets B and C); (2) merged subsets A and B were used as the training set and subset C was used as the test set. Results showed very close correlations between organic carbon content and all measured soil properties. Obtained models relating organic carbon content to mass-specific magnetic susceptibility successfully predicted soil organic carbon contents.https://swr.agriculturejournals.cz/artkey/swr-201602-0005_using-magnetic-susceptibility-mapping-for-assessing-soil-degradation-due-to-water-erosion.phparable landgeomorphologically diverse areaschernozemmagnetic susceptibilitysoil organic carbonspatial variability |
| spellingShingle | Ondřej JAKŠÍK Radka KODEŠOVÁ Aleš KAPIČKA Aleš KLEMENT Miroslav FÉR Antonín NIKODEM Using magnetic susceptibility mapping for assessing soil degradation due to water erosion Soil and Water Research arable land geomorphologically diverse areas chernozem magnetic susceptibility soil organic carbon spatial variability |
| title | Using magnetic susceptibility mapping for assessing soil degradation due to water erosion |
| title_full | Using magnetic susceptibility mapping for assessing soil degradation due to water erosion |
| title_fullStr | Using magnetic susceptibility mapping for assessing soil degradation due to water erosion |
| title_full_unstemmed | Using magnetic susceptibility mapping for assessing soil degradation due to water erosion |
| title_short | Using magnetic susceptibility mapping for assessing soil degradation due to water erosion |
| title_sort | using magnetic susceptibility mapping for assessing soil degradation due to water erosion |
| topic | arable land geomorphologically diverse areas chernozem magnetic susceptibility soil organic carbon spatial variability |
| url | https://swr.agriculturejournals.cz/artkey/swr-201602-0005_using-magnetic-susceptibility-mapping-for-assessing-soil-degradation-due-to-water-erosion.php |
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