Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Minerals (Basel) 2022-11, Vol.12 (11), p.1402
Main Authors: Rocha, Débora R., Barber, Xavier, Jordán-Vidal, Manuel M., Urbano, Alexandre, Melquiades, Fábio L., Thomaz, Edivaldo L., Mataix-Solera, Jorge
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c298t-528e6b5ca52c6ca544dd6515920ea0ee0252c20f506277f55d96b4d7f223b8483
cites cdi_FETCH-LOGICAL-c298t-528e6b5ca52c6ca544dd6515920ea0ee0252c20f506277f55d96b4d7f223b8483
container_end_page
container_issue 11
container_start_page 1402
container_title Minerals (Basel)
container_volume 12
creator Rocha, Débora R.
Barber, Xavier
Jordán-Vidal, Manuel M.
Urbano, Alexandre
Melquiades, Fábio L.
Thomaz, Edivaldo L.
Mataix-Solera, Jorge
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.
doi_str_mv 10.3390/min12111402
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2734686079</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2734686079</sourcerecordid><originalsourceid>FETCH-LOGICAL-c298t-528e6b5ca52c6ca544dd6515920ea0ee0252c20f506277f55d96b4d7f223b8483</originalsourceid><addsrcrecordid>eNpNUE1LAzEQDaJgqT35BwIeZTWZfOzusba2ChXBVuxtSXezNmWbrUlW2X9vpB46h5kH85j35iF0TckdYzm53xtLgVLKCZyhAZBUJFSy9fkJvkQj73ckVk5ZJmCAPl66Jphv5YwKGo-tanpvPP4xYYvXb1M8VUFh5bHCM2M_tTs4Y0NEeKXLrTVfncahxcvQVT1-6JzVFV62pvFX6KJWjdej_zlE77PH1eQpWbzOnyfjRVJCnoVEQKblRpRKQClj57yqpKAiB6IV0ZpAXACpBZGQprUQVS43vEprALbJeMaG6OZ49-DaaMaHYtdGG1GygJRxmUmS5pF1e2SVrvXe6bqIf-yV6wtKir_wipPw2C9Fa2DO</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2734686079</pqid></control><display><type>article</type><title>Multivariate Analysis with XRD Data as a Fingerprinting Technique to Study Burned Soils</title><source>ABI/INFORM Collection</source><source>Publicly Available Content (ProQuest)</source><creator>Rocha, Débora R. ; Barber, Xavier ; Jordán-Vidal, Manuel M. ; Urbano, Alexandre ; Melquiades, Fábio L. ; Thomaz, Edivaldo L. ; Mataix-Solera, Jorge</creator><creatorcontrib>Rocha, Débora R. ; Barber, Xavier ; Jordán-Vidal, Manuel M. ; Urbano, Alexandre ; Melquiades, Fábio L. ; Thomaz, Edivaldo L. ; Mataix-Solera, Jorge</creatorcontrib><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.</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 &amp; 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c298t-528e6b5ca52c6ca544dd6515920ea0ee0252c20f506277f55d96b4d7f223b8483</citedby><cites>FETCH-LOGICAL-c298t-528e6b5ca52c6ca544dd6515920ea0ee0252c20f506277f55d96b4d7f223b8483</cites><orcidid>0000-0002-5057-1982 ; 0000-0003-1154-0339 ; 0000-0003-2789-9936 ; 0000-0003-3079-5855 ; 0000-0003-2334-4802</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2734686079/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2734686079?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,11687,25752,27923,27924,36059,37011,44362,44589,74666,74897</link.rule.ids></links><search><creatorcontrib>Rocha, Débora R.</creatorcontrib><creatorcontrib>Barber, Xavier</creatorcontrib><creatorcontrib>Jordán-Vidal, Manuel M.</creatorcontrib><creatorcontrib>Urbano, Alexandre</creatorcontrib><creatorcontrib>Melquiades, Fábio L.</creatorcontrib><creatorcontrib>Thomaz, Edivaldo L.</creatorcontrib><creatorcontrib>Mataix-Solera, Jorge</creatorcontrib><title>Multivariate Analysis with XRD Data as a Fingerprinting Technique to Study Burned Soils</title><title>Minerals (Basel)</title><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.</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 &amp; 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 diffraction</subject><issn>2075-163X</issn><issn>2075-163X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><sourceid>PIMPY</sourceid><recordid>eNpNUE1LAzEQDaJgqT35BwIeZTWZfOzusba2ChXBVuxtSXezNmWbrUlW2X9vpB46h5kH85j35iF0TckdYzm53xtLgVLKCZyhAZBUJFSy9fkJvkQj73ckVk5ZJmCAPl66Jphv5YwKGo-tanpvPP4xYYvXb1M8VUFh5bHCM2M_tTs4Y0NEeKXLrTVfncahxcvQVT1-6JzVFV62pvFX6KJWjdej_zlE77PH1eQpWbzOnyfjRVJCnoVEQKblRpRKQClj57yqpKAiB6IV0ZpAXACpBZGQprUQVS43vEprALbJeMaG6OZ49-DaaMaHYtdGG1GygJRxmUmS5pF1e2SVrvXe6bqIf-yV6wtKir_wipPw2C9Fa2DO</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Rocha, Débora R.</creator><creator>Barber, Xavier</creator><creator>Jordán-Vidal, Manuel M.</creator><creator>Urbano, Alexandre</creator><creator>Melquiades, Fábio L.</creator><creator>Thomaz, Edivaldo L.</creator><creator>Mataix-Solera, Jorge</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TN</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>H96</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>K60</scope><scope>K6~</scope><scope>KB.</scope><scope>KR7</scope><scope>L.-</scope><scope>L.G</scope><scope>M0C</scope><scope>PCBAR</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-5057-1982</orcidid><orcidid>https://orcid.org/0000-0003-1154-0339</orcidid><orcidid>https://orcid.org/0000-0003-2789-9936</orcidid><orcidid>https://orcid.org/0000-0003-3079-5855</orcidid><orcidid>https://orcid.org/0000-0003-2334-4802</orcidid></search><sort><creationdate>20221101</creationdate><title>Multivariate 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 &amp; 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 burn</topic><topic>Software</topic><topic>Soil</topic><topic>Soil analysis</topic><topic>Soil classification</topic><topic>Soil conditions</topic><topic>Soil investigations</topic><topic>Soil sciences</topic><topic>Soil temperature</topic><topic>Soils</topic><topic>Temperature</topic><topic>X-ray diffraction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rocha, Débora R.</creatorcontrib><creatorcontrib>Barber, Xavier</creatorcontrib><creatorcontrib>Jordán-Vidal, Manuel M.</creatorcontrib><creatorcontrib>Urbano, Alexandre</creatorcontrib><creatorcontrib>Melquiades, Fábio L.</creatorcontrib><creatorcontrib>Thomaz, Edivaldo L.</creatorcontrib><creatorcontrib>Mataix-Solera, Jorge</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ABI商业信息数据库</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ABI/INFORM Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content (ProQuest)</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Minerals (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rocha, Débora R.</au><au>Barber, Xavier</au><au>Jordán-Vidal, Manuel M.</au><au>Urbano, Alexandre</au><au>Melquiades, Fábio L.</au><au>Thomaz, Edivaldo L.</au><au>Mataix-Solera, 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. 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.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/min12111402</doi><orcidid>https://orcid.org/0000-0002-5057-1982</orcidid><orcidid>https://orcid.org/0000-0003-1154-0339</orcidid><orcidid>https://orcid.org/0000-0003-2789-9936</orcidid><orcidid>https://orcid.org/0000-0003-3079-5855</orcidid><orcidid>https://orcid.org/0000-0003-2334-4802</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2075-163X
ispartof Minerals (Basel), 2022-11, Vol.12 (11), p.1402
issn 2075-163X
2075-163X
language eng
recordid cdi_proquest_journals_2734686079
source ABI/INFORM Collection; Publicly Available Content (ProQuest)
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T08%3A55%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multivariate%20Analysis%20with%20XRD%20Data%20as%20a%20Fingerprinting%20Technique%20to%20Study%20Burned%20Soils&rft.jtitle=Minerals%20(Basel)&rft.au=Rocha,%20D%C3%A9bora%20R.&rft.date=2022-11-01&rft.volume=12&rft.issue=11&rft.spage=1402&rft.pages=1402-&rft.issn=2075-163X&rft.eissn=2075-163X&rft_id=info:doi/10.3390/min12111402&rft_dat=%3Cproquest_cross%3E2734686079%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c298t-528e6b5ca52c6ca544dd6515920ea0ee0252c20f506277f55d96b4d7f223b8483%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2734686079&rft_id=info:pmid/&rfr_iscdi=true