SPATIAL VARIABILITY OF SOIL PHYSICAL PROPERTIES IN A REGION OF THE LOESS PLATEAU OF PR CHINA SUBJECT TO WIND AND WATER EROSION
Identifieur interne : 001166 ( Istex/Corpus ); précédent : 001165; suivant : 001167SPATIAL VARIABILITY OF SOIL PHYSICAL PROPERTIES IN A REGION OF THE LOESS PLATEAU OF PR CHINA SUBJECT TO WIND AND WATER EROSION
Auteurs : Y. Q. Wang ; M. A. ShaoSource :
- Land Degradation & Development [ 1085-3278 ] ; 2013-05.
Abstract
The analysis of the spatial variability of soil properties is important for land management and construction of an ecological environment. The objectives of this study were to investigate the spatial variability of saturated hydraulic conductivity (KS), total porosity (TP), capillary porosity (CP) and bulk density (BD) in relation to land use in a 0·54 km2 watershed on the Loess Plateau. Topsoil samples (0–5 cm) from 154 sites within the watershed were collected and analyzed by classical and geostatistical statistics in the summer of 2009. The results from the classical statistical analyses indicated that TP, CP and BD had low variability whereas KS had high variability with the watershed. Farmland had significantly lower BD and higher TP and CP than grassland, shrubland and woodland (p < 0·05). Geostatistical analyses revealed that the KS semivariogram was best fit by a spherical model, the CP semivariogram was best fit by an exponential model and the TP and BD semivariograms were best fit by Gaussian models. The nugget to sill ratios and fractal dimension values indicated that all four soil properties had strong spatial dependence. Moran's I analysis showed that a 100‐m sampling interval would be adequate for detecting the spatial structure of the four soil physical properties within the watershed. Spatial interpolation maps could provide useful information for precision agriculture practices and ecological management. Copyright © 2011 John Wiley & Sons, Ltd.
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DOI: 10.1002/ldr.1128
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Q." last="Wang">Y. Q. Wang</name><affiliation><mods:affiliation>College of Resources and Environment, Northwest A&F University, Yangling, 712100, Shaanxi, PR, China</mods:affiliation></affiliation><affiliation><mods:affiliation>State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Science and the Ministry of Water Resources, Yangling, PR, 712100, Shaanxi, China</mods:affiliation></affiliation></author><author><name sortKey="Shao, M A" sort="Shao, M A" uniqKey="Shao M" first="M. A." last="Shao">M. A. Shao</name><affiliation><mods:affiliation>State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Science and the Ministry of Water Resources, Yangling, 712100, Shaanxi, PR, China</mods:affiliation></affiliation><affiliation><mods:affiliation>Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, PR, 100039, Beijing, China</mods:affiliation></affiliation><affiliation><mods:affiliation>Correspondence to: M. A. Shao, No. 26, Xinong Road, Institute of Soil and Water Conservation, Chinese Academy of Science, Yangling, Shaanxi Province 712100, PR China.E‐mail:</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: mashao@ms.iswc.ac.cn</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Land Degradation & Development</title><title level="j" type="abbrev">Land Degrad. Develop.</title><idno type="ISSN">1085-3278</idno><idno type="eISSN">1099-145X</idno><imprint><publisher>John Wiley & Sons, Ltd</publisher><pubPlace>Chichester, UK</pubPlace><date type="published" when="2013-05">2013-05</date><biblScope unit="volume">24</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="296">296</biblScope><biblScope unit="page" to="304">304</biblScope></imprint><idno type="ISSN">1085-3278</idno></series><idno type="istex">AC95BCD60415F6ECFF5304D5CAC4B6D2E8F3C802</idno><idno type="DOI">10.1002/ldr.1128</idno><idno type="ArticleID">LDR1128</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1085-3278</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">The analysis of the spatial variability of soil properties is important for land management and construction of an ecological environment. The objectives of this study were to investigate the spatial variability of saturated hydraulic conductivity (KS), total porosity (TP), capillary porosity (CP) and bulk density (BD) in relation to land use in a 0·54 km2 watershed on the Loess Plateau. Topsoil samples (0–5 cm) from 154 sites within the watershed were collected and analyzed by classical and geostatistical statistics in the summer of 2009. The results from the classical statistical analyses indicated that TP, CP and BD had low variability whereas KS had high variability with the watershed. Farmland had significantly lower BD and higher TP and CP than grassland, shrubland and woodland (p < 0·05). Geostatistical analyses revealed that the KS semivariogram was best fit by a spherical model, the CP semivariogram was best fit by an exponential model and the TP and BD semivariograms were best fit by Gaussian models. The nugget to sill ratios and fractal dimension values indicated that all four soil properties had strong spatial dependence. Moran's I analysis showed that a 100‐m sampling interval would be adequate for detecting the spatial structure of the four soil physical properties within the watershed. Spatial interpolation maps could provide useful information for precision agriculture practices and ecological management. Copyright © 2011 John Wiley & Sons, Ltd.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Y. Q. Wang</name><affiliations><json:string>College of Resources and Environment, Northwest A&F University, Yangling, 712100, Shaanxi, PR, China</json:string><json:string>State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Science and the Ministry of Water Resources, Yangling, PR, 712100, Shaanxi, China</json:string></affiliations></json:item><json:item><name>M. A. Shao</name><affiliations><json:string>State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Science and the Ministry of Water Resources, Yangling, 712100, Shaanxi, PR, China</json:string><json:string>Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, PR, 100039, Beijing, China</json:string><json:string>Correspondence to: M. A. Shao, No. 26, Xinong Road, Institute of Soil and Water Conservation, Chinese Academy of Science, Yangling, Shaanxi Province 712100, PR China.E‐mail:</json:string><json:string>E-mail: mashao@ms.iswc.ac.cn</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>geostatistic analysis</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>land use</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>ordinary kriging</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>semivariogram</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>spatial structure</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>PR China</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>wind erosion</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>water erosion</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>loess</value></json:item></subject><articleId><json:string>LDR1128</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>The analysis of the spatial variability of soil properties is important for land management and construction of an ecological environment. The objectives of this study were to investigate the spatial variability of saturated hydraulic conductivity (KS), total porosity (TP), capillary porosity (CP) and bulk density (BD) in relation to land use in a 0·54 km2 watershed on the Loess Plateau. Topsoil samples (0–5 cm) from 154 sites within the watershed were collected and analyzed by classical and geostatistical statistics in the summer of 2009. The results from the classical statistical analyses indicated that TP, CP and BD had low variability whereas KS had high variability with the watershed. Farmland had significantly lower BD and higher TP and CP than grassland, shrubland and woodland (p > 0·05). Geostatistical analyses revealed that the KS semivariogram was best fit by a spherical model, the CP semivariogram was best fit by an exponential model and the TP and BD semivariograms were best fit by Gaussian models. The nugget to sill ratios and fractal dimension values indicated that all four soil properties had strong spatial dependence. Moran's I analysis showed that a 100‐m sampling interval would be adequate for detecting the spatial structure of the four soil physical properties within the watershed. Spatial interpolation maps could provide useful information for precision agriculture practices and ecological management. Copyright © 2011 John Wiley & Sons, Ltd.</abstract><qualityIndicators><score>8.157</score><pdfVersion>1.4</pdfVersion><pdfPageSize>595.276 x 790.866 pts</pdfPageSize><refBibsNative>true</refBibsNative><abstractCharCount>1485</abstractCharCount><pdfWordCount>4957</pdfWordCount><pdfCharCount>30169</pdfCharCount><pdfPageCount>9</pdfPageCount><abstractWordCount>225</abstractWordCount></qualityIndicators><title>SPATIAL VARIABILITY OF SOIL PHYSICAL PROPERTIES IN A REGION OF THE LOESS PLATEAU OF PR CHINA SUBJECT TO WIND AND WATER EROSION</title><genre><json:string>article</json:string></genre><host><volume>24</volume><publisherId><json:string>LDR</json:string></publisherId><pages><total>9</total><last>304</last><first>296</first></pages><issn><json:string>1085-3278</json:string></issn><issue>3</issue><subject><json:item><value>Research Article</value></json:item></subject><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><eissn><json:string>1099-145X</json:string></eissn><title>Land Degradation & Development</title><doi><json:string>10.1002/(ISSN)1099-145X</json:string></doi></host><categories><wos><json:string>science</json:string><json:string>soil science</json:string><json:string>environmental sciences</json:string></wos><scienceMetrix><json:string>applied sciences</json:string><json:string>agriculture, fisheries & forestry</json:string><json:string>agronomy & agriculture</json:string></scienceMetrix></categories><publicationDate>2013</publicationDate><copyrightDate>2013</copyrightDate><doi><json:string>10.1002/ldr.1128</json:string></doi><id>AC95BCD60415F6ECFF5304D5CAC4B6D2E8F3C802</id><score>0.03857247</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/AC95BCD60415F6ECFF5304D5CAC4B6D2E8F3C802/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/AC95BCD60415F6ECFF5304D5CAC4B6D2E8F3C802/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/AC95BCD60415F6ECFF5304D5CAC4B6D2E8F3C802/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">SPATIAL VARIABILITY OF SOIL PHYSICAL PROPERTIES IN A REGION OF THE LOESS PLATEAU OF PR CHINA SUBJECT TO WIND AND WATER EROSION</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>John Wiley & Sons, Ltd</publisher><pubPlace>Chichester, UK</pubPlace><availability><p>Copyright © 2013 John Wiley & Sons, Ltd.Copyright © 2011 John Wiley & Sons, Ltd.</p></availability><date>2011-05-01</date></publicationStmt><notesStmt><note>‘Innovative Team’ program of the Chinese Ministry of Education - No. IRT0749;</note><note>Knowledge Innovation Project of the Chinese Academy of Sciences - No. KZCX2‐XB2‐13;</note><note>National Natural Science Foundation of China - No. 41071156;</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">SPATIAL VARIABILITY OF SOIL PHYSICAL PROPERTIES IN A REGION OF THE LOESS PLATEAU OF PR CHINA SUBJECT TO WIND AND WATER EROSION</title><author xml:id="author-1"><persName><forename type="first">Y. Q.</forename><surname>Wang</surname></persName><affiliation>College of Resources and Environment, Northwest A&F University, Yangling, 712100, Shaanxi, PR, China</affiliation><affiliation>State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Science and the Ministry of Water Resources, Yangling, PR, 712100, Shaanxi, China</affiliation></author><author xml:id="author-2"><persName><forename type="first">M. A.</forename><surname>Shao</surname></persName><email>mashao@ms.iswc.ac.cn</email><affiliation>State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Science and the Ministry of Water Resources, Yangling, 712100, Shaanxi, PR, China</affiliation><affiliation>Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, PR, 100039, Beijing, China</affiliation><affiliation>Correspondence to: M. A. Shao, No. 26, Xinong Road, Institute of Soil and Water Conservation, Chinese Academy of Science, Yangling, Shaanxi Province 712100, PR China.E‐mail:</affiliation></author></analytic><monogr><title level="j">Land Degradation & Development</title><title level="j" type="abbrev">Land Degrad. Develop.</title><idno type="pISSN">1085-3278</idno><idno type="eISSN">1099-145X</idno><idno type="DOI">10.1002/(ISSN)1099-145X</idno><imprint><publisher>John Wiley & Sons, Ltd</publisher><pubPlace>Chichester, UK</pubPlace><date type="published" when="2013-05"></date><biblScope unit="volume">24</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="296">296</biblScope><biblScope unit="page" to="304">304</biblScope></imprint></monogr><idno type="istex">AC95BCD60415F6ECFF5304D5CAC4B6D2E8F3C802</idno><idno type="DOI">10.1002/ldr.1128</idno><idno type="ArticleID">LDR1128</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2011-05-01</date></creation><langUsage><language ident="en">en</language></langUsage><abstract><p>The analysis of the spatial variability of soil properties is important for land management and construction of an ecological environment. The objectives of this study were to investigate the spatial variability of saturated hydraulic conductivity (KS), total porosity (TP), capillary porosity (CP) and bulk density (BD) in relation to land use in a 0·54 km2 watershed on the Loess Plateau. Topsoil samples (0–5 cm) from 154 sites within the watershed were collected and analyzed by classical and geostatistical statistics in the summer of 2009. The results from the classical statistical analyses indicated that TP, CP and BD had low variability whereas KS had high variability with the watershed. Farmland had significantly lower BD and higher TP and CP than grassland, shrubland and woodland (p < 0·05). Geostatistical analyses revealed that the KS semivariogram was best fit by a spherical model, the CP semivariogram was best fit by an exponential model and the TP and BD semivariograms were best fit by Gaussian models. The nugget to sill ratios and fractal dimension values indicated that all four soil properties had strong spatial dependence. Moran's I analysis showed that a 100‐m sampling interval would be adequate for detecting the spatial structure of the four soil physical properties within the watershed. Spatial interpolation maps could provide useful information for precision agriculture practices and ecological management. Copyright © 2011 John Wiley & Sons, Ltd.</p></abstract><textClass><keywords scheme="keyword"><list><head>keywords</head><item><term>geostatistic analysis</term></item><item><term>land use</term></item><item><term>ordinary kriging</term></item><item><term>semivariogram</term></item><item><term>spatial structure</term></item><item><term>PR China</term></item><item><term>wind erosion</term></item><item><term>water erosion</term></item><item><term>loess</term></item></list></keywords></textClass><textClass><keywords scheme="Journal Subject"><list><head>article-category</head><item><term>Research Article</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2010-08-22">Received</change><change when="2011-04-07">Registration</change><change when="2011-05-01">Created</change><change when="2013-05">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/AC95BCD60415F6ECFF5304D5CAC4B6D2E8F3C802/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component type="serialArticle" version="2.0" xml:lang="en" xml:id="ldr1128"><header><publicationMeta level="product"><publisherInfo><publisherName>John Wiley & Sons, Ltd</publisherName><publisherLoc>Chichester, UK</publisherLoc></publisherInfo><doi>10.1002/(ISSN)1099-145X</doi><issn type="print">1085-3278</issn><issn type="electronic">1099-145X</issn><idGroup><id type="product" value="LDR"></id></idGroup><titleGroup><title type="main" sort="LAND DEGRADATION AND DEVELOPMENT">Land Degradation & Development</title><title type="short">Land Degrad. Develop.</title></titleGroup></publicationMeta><publicationMeta level="part" position="30"><doi>10.1002/ldr.v24.3</doi><copyright ownership="publisher">Copyright © 2013 John Wiley & Sons, Ltd.</copyright><numberingGroup><numbering type="journalVolume" number="24">24</numbering><numbering type="journalIssue">3</numbering></numberingGroup><coverDate startDate="2013-05">May/June 2013</coverDate></publicationMeta><publicationMeta level="unit" position="80" type="article" status="forIssue"><doi>10.1002/ldr.1128</doi><idGroup><id type="unit" value="LDR1128"></id></idGroup><countGroup><count type="pageTotal" number="9"></count></countGroup><titleGroup><title type="articleCategory">Research Article</title><title type="tocHeading1">Research Articles</title></titleGroup><copyright ownership="publisher">Copyright © 2011 John Wiley & Sons, Ltd.</copyright><eventGroup><event type="manuscriptReceived" date="2010-08-22"></event><event type="manuscriptRevised" date="2011-04-05"></event><event type="manuscriptAccepted" date="2011-04-07"></event><event type="xmlCreated" agent="SPi Global" date="2011-05-01"></event><event type="publishedOnlineEarlyUnpaginated" date="2011-05-24"></event><event type="firstOnline" date="2011-05-24"></event><event type="publishedOnlineFinalForm" date="2013-06-06"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-02-01"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.6.4 mode:FullText" date="2015-10-01"></event></eventGroup><numberingGroup><numbering type="pageFirst">296</numbering><numbering type="pageLast">304</numbering></numberingGroup><correspondenceTo><lineatedText><line>Correspondence to: M. A. Shao, No. 26, Xinong Road, Institute of Soil and Water Conservation, Chinese Academy of Science, Yangling, Shaanxi Province 712100, PR China.</line><line>E‐mail: <email>mashao@ms.iswc.ac.cn</email></line></lineatedText></correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:LDR.LDR1128.pdf"></link></linkGroup></publicationMeta><contentMeta><titleGroup><title type="main">SPATIAL VARIABILITY OF SOIL PHYSICAL PROPERTIES IN A REGION OF THE LOESS PLATEAU OF PR CHINA SUBJECT TO WIND AND WATER EROSION</title><title type="short">Spatial Variability of Soil Physical Properties</title><title type="shortAuthors">Y. Q. WANG AND M. A. SHAO</title></titleGroup><creators><creator creatorRole="author" xml:id="ldr1128-cr-0001" affiliationRef="#ldr1128-aff-0001 #ldr1128-aff-0002"><personName><givenNames>Y. Q.</givenNames><familyName>Wang</familyName></personName></creator><creator creatorRole="author" xml:id="ldr1128-cr-0002" affiliationRef="#ldr1128-aff-0002 #ldr1128-aff-0003" corresponding="yes"><personName><givenNames>M. A.</givenNames><familyName>Shao</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="ldr1128-aff-0001" countryCode="CN" type="organization"><orgDiv>College of Resources and Environment</orgDiv><orgName>Northwest A&F University</orgName><address><street>Yangling</street><city>Shaanxi</city><postCode>712100</postCode><countryPart>PR</countryPart><country>China</country></address></affiliation><affiliation xml:id="ldr1128-aff-0002" countryCode="CN" type="organization"><orgDiv>State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau</orgDiv><orgDiv>Institute of Soil and Water Conservation</orgDiv><orgName>Chinese Academy of Science and the Ministry of Water Resources</orgName><address><street>Yangling</street><city>Shaanxi</city><postCode>712100</postCode><countryPart>PR</countryPart><country>China</country></address></affiliation><affiliation xml:id="ldr1128-aff-0003" countryCode="CN" type="organization"><orgDiv>Key Laboratory of Ecosystem Network Observation and Modeling</orgDiv><orgDiv>Institute of Geographic Sciences and Natural Resources Research</orgDiv><orgName>Chinese Academy of Sciences</orgName><address><city>Beijing</city><postCode>100039</postCode><countryPart>PR</countryPart><country>China</country></address></affiliation></affiliationGroup><keywordGroup type="author"><keyword xml:id="ldr1128-kwd-0001">geostatistic analysis</keyword><keyword xml:id="ldr1128-kwd-0002">land use</keyword><keyword xml:id="ldr1128-kwd-0003">ordinary kriging</keyword><keyword xml:id="ldr1128-kwd-0004">semivariogram</keyword><keyword xml:id="ldr1128-kwd-0005">spatial structure</keyword><keyword xml:id="ldr1128-kwd-0006">PR China</keyword><keyword xml:id="ldr1128-kwd-0007">wind erosion</keyword><keyword xml:id="ldr1128-kwd-0008">water erosion</keyword><keyword xml:id="ldr1128-kwd-0009">loess</keyword></keywordGroup><fundingInfo><fundingAgency>‘Innovative Team’ program of the Chinese Ministry of Education</fundingAgency><fundingNumber>IRT0749</fundingNumber></fundingInfo><fundingInfo><fundingAgency>Knowledge Innovation Project of the Chinese Academy of Sciences</fundingAgency><fundingNumber>KZCX2‐XB2‐13</fundingNumber></fundingInfo><fundingInfo><fundingAgency>National Natural Science Foundation of China</fundingAgency><fundingNumber>41071156</fundingNumber></fundingInfo><abstractGroup><abstract type="main"><title type="main">ABSTRACT</title><p>The analysis of the spatial variability of soil properties is important for land management and construction of an ecological environment. The objectives of this study were to investigate the spatial variability of saturated hydraulic conductivity (<i>K</i><sub>S</sub>), total porosity (<i>TP</i>), capillary porosity (<i>CP</i>) and bulk density (<i>BD</i>) in relation to land use in a 0·54 km<sup>2</sup> watershed on the Loess Plateau. Topsoil samples (0–5 cm) from 154 sites within the watershed were collected and analyzed by classical and geostatistical statistics in the summer of 2009. The results from the classical statistical analyses indicated that <i>TP</i>, <i>CP</i> and <i>BD</i> had low variability whereas <i>K</i><sub>S</sub> had high variability with the watershed. Farmland had significantly lower <i>BD</i> and higher <i>TP</i> and <i>CP</i> than grassland, shrubland and woodland (<i>p</i> < 0·05). Geostatistical analyses revealed that the <i>K</i><sub>S</sub> semivariogram was best fit by a spherical model, the <i>CP</i> semivariogram was best fit by an exponential model and the <i>TP</i> and <i>BD</i> semivariograms were best fit by Gaussian models. The nugget to sill ratios and fractal dimension values indicated that all four soil properties had strong spatial dependence. Moran's <i>I</i> analysis showed that a 100‐m sampling interval would be adequate for detecting the spatial structure of the four soil physical properties within the watershed. Spatial interpolation maps could provide useful information for precision agriculture practices and ecological management. Copyright © 2011 John Wiley & Sons, Ltd.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>SPATIAL VARIABILITY OF SOIL PHYSICAL PROPERTIES IN A REGION OF THE LOESS PLATEAU OF PR CHINA SUBJECT TO WIND AND WATER EROSION</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Spatial Variability of Soil Physical Properties</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>SPATIAL VARIABILITY OF SOIL PHYSICAL PROPERTIES IN A REGION OF THE LOESS PLATEAU OF PR CHINA SUBJECT TO WIND AND WATER EROSION</title></titleInfo><name type="personal"><namePart type="given">Y. Q.</namePart><namePart type="family">Wang</namePart><affiliation>College of Resources and Environment, Northwest A&F University, Yangling, 712100, Shaanxi, PR, China</affiliation><affiliation>State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Science and the Ministry of Water Resources, Yangling, PR, 712100, Shaanxi, China</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">M. A.</namePart><namePart type="family">Shao</namePart><affiliation>State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Science and the Ministry of Water Resources, Yangling, 712100, Shaanxi, PR, China</affiliation><affiliation>Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, PR, 100039, Beijing, China</affiliation><affiliation>Correspondence to: M. A. Shao, No. 26, Xinong Road, Institute of Soil and Water Conservation, Chinese Academy of Science, Yangling, Shaanxi Province 712100, PR China.E‐mail:</affiliation><affiliation>E-mail: mashao@ms.iswc.ac.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>John Wiley & Sons, Ltd</publisher><place><placeTerm type="text">Chichester, UK</placeTerm></place><dateIssued encoding="w3cdtf">2013-05</dateIssued><dateCreated encoding="w3cdtf">2011-05-01</dateCreated><dateCaptured encoding="w3cdtf">2010-08-22</dateCaptured><dateValid encoding="w3cdtf">2011-04-07</dateValid><copyrightDate encoding="w3cdtf">2013</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract>The analysis of the spatial variability of soil properties is important for land management and construction of an ecological environment. The objectives of this study were to investigate the spatial variability of saturated hydraulic conductivity (KS), total porosity (TP), capillary porosity (CP) and bulk density (BD) in relation to land use in a 0·54 km2 watershed on the Loess Plateau. Topsoil samples (0–5 cm) from 154 sites within the watershed were collected and analyzed by classical and geostatistical statistics in the summer of 2009. The results from the classical statistical analyses indicated that TP, CP and BD had low variability whereas KS had high variability with the watershed. Farmland had significantly lower BD and higher TP and CP than grassland, shrubland and woodland (p < 0·05). Geostatistical analyses revealed that the KS semivariogram was best fit by a spherical model, the CP semivariogram was best fit by an exponential model and the TP and BD semivariograms were best fit by Gaussian models. The nugget to sill ratios and fractal dimension values indicated that all four soil properties had strong spatial dependence. Moran's I analysis showed that a 100‐m sampling interval would be adequate for detecting the spatial structure of the four soil physical properties within the watershed. Spatial interpolation maps could provide useful information for precision agriculture practices and ecological management. Copyright © 2011 John Wiley & Sons, Ltd.</abstract><note type="funding">‘Innovative Team’ program of the Chinese Ministry of Education - No. IRT0749; </note><note type="funding">Knowledge Innovation Project of the Chinese Academy of Sciences - No. KZCX2‐XB2‐13; </note><note type="funding">National Natural Science Foundation of China - No. 41071156; </note><subject><genre>keywords</genre><topic>geostatistic analysis</topic><topic>land use</topic><topic>ordinary kriging</topic><topic>semivariogram</topic><topic>spatial structure</topic><topic>PR China</topic><topic>wind erosion</topic><topic>water erosion</topic><topic>loess</topic></subject><relatedItem type="host"><titleInfo><title>Land Degradation & Development</title></titleInfo><titleInfo type="abbreviated"><title>Land Degrad. Develop.</title></titleInfo><genre type="journal">journal</genre><subject><genre>article-category</genre><topic>Research Article</topic></subject><identifier type="ISSN">1085-3278</identifier><identifier type="eISSN">1099-145X</identifier><identifier type="DOI">10.1002/(ISSN)1099-145X</identifier><identifier type="PublisherID">LDR</identifier><part><date>2013</date><detail type="volume"><caption>vol.</caption><number>24</number></detail><detail type="issue"><caption>no.</caption><number>3</number></detail><extent unit="pages"><start>296</start><end>304</end><total>9</total></extent></part></relatedItem><identifier type="istex">AC95BCD60415F6ECFF5304D5CAC4B6D2E8F3C802</identifier><identifier type="DOI">10.1002/ldr.1128</identifier><identifier type="ArticleID">LDR1128</identifier><accessCondition type="use and reproduction" contentType="copyright">Copyright © 2013 John Wiley & Sons, Ltd.Copyright © 2011 John Wiley & Sons, Ltd.</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>John Wiley & Sons, Ltd</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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