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Multivariate Analysis with XRD Data as a Fingerprinting Technique to Study Burned Soils
Fire is a natural process with recognized recurrence. However, ongoing climate change and human activities are causing some disturbances in their natural regimes in most ecosystems. It is important to improve the methodologies used to evaluate the fire-induced changes in soils. This study aims at in...
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Published in: | Minerals (Basel) 2022-11, Vol.12 (11), p.1402 |
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description | Fire is a natural process with recognized recurrence. However, ongoing climate change and human activities are causing some disturbances in their natural regimes in most ecosystems. It is important to improve the methodologies used to evaluate the fire-induced changes in soils. This study aims at investigating the potential of the X-ray diffraction (XRD) technique to be used as a fingerprinting technique for burned soils. Multivariate analysis was employed to analyze the XRD data. Hierarchical Cluster Analysis (HCA) and local Partial Least Squares (PLS-2) models were performed. The soil samples are classified as Ferralsols and were collected from an Amazon region, Brazil, from forests, pastures and a slash-and-burn area. The studied temperatures ranged between 25 and 800 °C. Major differences were found for gibbsite, goethite and kaolinite contents due to dehydration. PLS-2 analysis presented better results than HCA as it provided information concerning the two features of the investigated soils, the collection site and the temperature. Therefore, it was possible to characterize soils from different sites and soils heated at different temperatures by using XRD data with multivariate analysis. Such methodology provided important information that may be used in areas with these environmental and soil conditions. |
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However, ongoing climate change and human activities are causing some disturbances in their natural regimes in most ecosystems. It is important to improve the methodologies used to evaluate the fire-induced changes in soils. This study aims at investigating the potential of the X-ray diffraction (XRD) technique to be used as a fingerprinting technique for burned soils. Multivariate analysis was employed to analyze the XRD data. Hierarchical Cluster Analysis (HCA) and local Partial Least Squares (PLS-2) models were performed. The soil samples are classified as Ferralsols and were collected from an Amazon region, Brazil, from forests, pastures and a slash-and-burn area. The studied temperatures ranged between 25 and 800 °C. Major differences were found for gibbsite, goethite and kaolinite contents due to dehydration. PLS-2 analysis presented better results than HCA as it provided information concerning the two features of the investigated soils, the collection site and the temperature. Therefore, it was possible to characterize soils from different sites and soils heated at different temperatures by using XRD data with multivariate analysis. Such methodology provided important information that may be used in areas with these environmental and soil conditions.</description><identifier>ISSN: 2075-163X</identifier><identifier>EISSN: 2075-163X</identifier><identifier>DOI: 10.3390/min12111402</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Analysis ; Bayer process ; Climate change ; Cluster analysis ; Data analysis ; Dehydration ; Fingerprinting ; Forest & brush fires ; Gibbsite ; Goethite ; Kaolinite ; Methods ; Mineralogy ; Minerals ; Multivariate analysis ; Pasture ; Slash and burn ; Software ; Soil ; Soil analysis ; Soil classification ; Soil conditions ; Soil investigations ; Soil sciences ; Soil temperature ; Soils ; Temperature ; X-ray diffraction</subject><ispartof>Minerals (Basel), 2022-11, Vol.12 (11), p.1402</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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However, ongoing climate change and human activities are causing some disturbances in their natural regimes in most ecosystems. It is important to improve the methodologies used to evaluate the fire-induced changes in soils. This study aims at investigating the potential of the X-ray diffraction (XRD) technique to be used as a fingerprinting technique for burned soils. Multivariate analysis was employed to analyze the XRD data. Hierarchical Cluster Analysis (HCA) and local Partial Least Squares (PLS-2) models were performed. The soil samples are classified as Ferralsols and were collected from an Amazon region, Brazil, from forests, pastures and a slash-and-burn area. The studied temperatures ranged between 25 and 800 °C. Major differences were found for gibbsite, goethite and kaolinite contents due to dehydration. PLS-2 analysis presented better results than HCA as it provided information concerning the two features of the investigated soils, the collection site and the temperature. 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Such methodology provided important information that may be used in areas with these environmental and soil conditions.</description><subject>Analysis</subject><subject>Bayer process</subject><subject>Climate change</subject><subject>Cluster analysis</subject><subject>Data analysis</subject><subject>Dehydration</subject><subject>Fingerprinting</subject><subject>Forest & brush fires</subject><subject>Gibbsite</subject><subject>Goethite</subject><subject>Kaolinite</subject><subject>Methods</subject><subject>Mineralogy</subject><subject>Minerals</subject><subject>Multivariate analysis</subject><subject>Pasture</subject><subject>Slash and burn</subject><subject>Software</subject><subject>Soil</subject><subject>Soil analysis</subject><subject>Soil classification</subject><subject>Soil conditions</subject><subject>Soil investigations</subject><subject>Soil sciences</subject><subject>Soil temperature</subject><subject>Soils</subject><subject>Temperature</subject><subject>X-ray 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Analysis with XRD Data as a Fingerprinting Technique to Study Burned Soils</title><author>Rocha, Débora R. ; Barber, Xavier ; Jordán-Vidal, Manuel M. ; Urbano, Alexandre ; Melquiades, Fábio L. ; Thomaz, Edivaldo L. ; Mataix-Solera, Jorge</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c298t-528e6b5ca52c6ca544dd6515920ea0ee0252c20f506277f55d96b4d7f223b8483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Analysis</topic><topic>Bayer process</topic><topic>Climate change</topic><topic>Cluster analysis</topic><topic>Data analysis</topic><topic>Dehydration</topic><topic>Fingerprinting</topic><topic>Forest & brush fires</topic><topic>Gibbsite</topic><topic>Goethite</topic><topic>Kaolinite</topic><topic>Methods</topic><topic>Mineralogy</topic><topic>Minerals</topic><topic>Multivariate analysis</topic><topic>Pasture</topic><topic>Slash and 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Jorge</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multivariate Analysis with XRD Data as a Fingerprinting Technique to Study Burned Soils</atitle><jtitle>Minerals (Basel)</jtitle><date>2022-11-01</date><risdate>2022</risdate><volume>12</volume><issue>11</issue><spage>1402</spage><pages>1402-</pages><issn>2075-163X</issn><eissn>2075-163X</eissn><abstract>Fire is a natural process with recognized recurrence. However, ongoing climate change and human activities are causing some disturbances in their natural regimes in most ecosystems. It is important to improve the methodologies used to evaluate the fire-induced changes in soils. This study aims at investigating the potential of the X-ray diffraction (XRD) technique to be used as a fingerprinting technique for burned soils. Multivariate analysis was employed to analyze the XRD data. Hierarchical Cluster Analysis (HCA) and local Partial Least Squares (PLS-2) models were performed. The soil samples are classified as Ferralsols and were collected from an Amazon region, Brazil, from forests, pastures and a slash-and-burn area. The studied temperatures ranged between 25 and 800 °C. Major differences were found for gibbsite, goethite and kaolinite contents due to dehydration. PLS-2 analysis presented better results than HCA as it provided information concerning the two features of the investigated soils, the collection site and the temperature. 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subjects | Analysis Bayer process Climate change Cluster analysis Data analysis Dehydration Fingerprinting Forest & brush fires Gibbsite Goethite Kaolinite Methods Mineralogy Minerals Multivariate analysis Pasture Slash and burn Software Soil Soil analysis Soil classification Soil conditions Soil investigations Soil sciences Soil temperature Soils Temperature X-ray diffraction |
title | Multivariate Analysis with XRD Data as a Fingerprinting Technique to Study Burned Soils |
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