Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed
Identifieur interne : 000E83 ( Istex/Corpus ); précédent : 000E82; suivant : 000E84Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed
Auteurs : Andrew A. Millward ; Janet E. MerseySource :
- Catena [ 0341-8162 ] ; 1999.
Abstract
This research integrates the Revised Universal Soil Loss Equation (RUSLE) with a Geographic Information System (GIS) to model erosion potential for soil conservation planning within the Sierra de Manantlán Biosphere Reserve (SMBR), Mexico. Mountainous topography and a tropical uni-modal precipitation regime characterize this region. These unique climatic and topographic characteristics required a modification of the standard RUSLE factors and their derivation. The resulting RUSLE–GIS model provides a robust soil conservation planning tool readily transferable and accessible to other land managers in similar environments. Future pressure to expand agriculture and grazing operations within the SMBR will unquestionably accentuate the already high rate of soil erosion and resultant sediment loading of watercourses occurring in this region. Until recently there did not exist a reliable or financially viable means to model and map soil erosion within large remote areas. An increase in the reliability and resolution of remote sensing techniques, modifications and advancements in watershed scale soil erosion modelling techniques, and advances in GIS, represent significantly improved tools that can be applied to both monitoring and modelling the effects of land use on soil erosion potential. Data used in this study to generate the RUSLE variables include a Landsat Thematic Mapper image (land cover), digitized topographic and soil maps, and tabular precipitation data. Soil erosion potential was modelled within Zenzontla, a sub-catchment of the Rı́o Ayuquı́la, located in the SMBR, and the results are presented as geo-referenced maps for each of the wet and dry precipitation seasons. These maps confirm that high and extreme areas of soil loss occur within the Zenzontla sub-catchment, and that erosion potential differs significantly between wet and dry seasons.
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DOI: 10.1016/S0341-8162(99)00067-3
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Mersey</name><affiliation><mods:affiliation>Department of Geography, University of Guelph, Guelph, Ontario, Canada N1G 2W1</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:DEA11938093E611F81B80201AA164AB39EF05CD9</idno><date when="1999" year="1999">1999</date><idno type="doi">10.1016/S0341-8162(99)00067-3</idno><idno type="url">https://api.istex.fr/document/DEA11938093E611F81B80201AA164AB39EF05CD9/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000E83</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000E83</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed</title><author><name sortKey="Millward, Andrew A" sort="Millward, Andrew A" uniqKey="Millward A" first="Andrew A" last="Millward">Andrew A. Millward</name><affiliation><mods:affiliation>Department of Geography, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1</mods:affiliation></affiliation></author><author><name sortKey="Mersey, Janet E" sort="Mersey, Janet E" uniqKey="Mersey J" first="Janet E" last="Mersey">Janet E. Mersey</name><affiliation><mods:affiliation>Department of Geography, University of Guelph, Guelph, Ontario, Canada N1G 2W1</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Catena</title><title level="j" type="abbrev">CATENA</title><idno type="ISSN">0341-8162</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1999">1999</date><biblScope unit="volume">38</biblScope><biblScope unit="issue">2</biblScope><biblScope unit="page" from="109">109</biblScope><biblScope unit="page" to="129">129</biblScope></imprint><idno type="ISSN">0341-8162</idno></series><idno type="istex">DEA11938093E611F81B80201AA164AB39EF05CD9</idno><idno type="DOI">10.1016/S0341-8162(99)00067-3</idno><idno type="PII">S0341-8162(99)00067-3</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0341-8162</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This research integrates the Revised Universal Soil Loss Equation (RUSLE) with a Geographic Information System (GIS) to model erosion potential for soil conservation planning within the Sierra de Manantlán Biosphere Reserve (SMBR), Mexico. Mountainous topography and a tropical uni-modal precipitation regime characterize this region. These unique climatic and topographic characteristics required a modification of the standard RUSLE factors and their derivation. The resulting RUSLE–GIS model provides a robust soil conservation planning tool readily transferable and accessible to other land managers in similar environments. Future pressure to expand agriculture and grazing operations within the SMBR will unquestionably accentuate the already high rate of soil erosion and resultant sediment loading of watercourses occurring in this region. Until recently there did not exist a reliable or financially viable means to model and map soil erosion within large remote areas. An increase in the reliability and resolution of remote sensing techniques, modifications and advancements in watershed scale soil erosion modelling techniques, and advances in GIS, represent significantly improved tools that can be applied to both monitoring and modelling the effects of land use on soil erosion potential. Data used in this study to generate the RUSLE variables include a Landsat Thematic Mapper image (land cover), digitized topographic and soil maps, and tabular precipitation data. Soil erosion potential was modelled within Zenzontla, a sub-catchment of the Rı́o Ayuquı́la, located in the SMBR, and the results are presented as geo-referenced maps for each of the wet and dry precipitation seasons. These maps confirm that high and extreme areas of soil loss occur within the Zenzontla sub-catchment, and that erosion potential differs significantly between wet and dry seasons.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>Andrew A Millward</name><affiliations><json:string>Department of Geography, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1</json:string></affiliations></json:item><json:item><name>Janet E Mersey</name><affiliations><json:string>Department of Geography, University of Guelph, Guelph, Ontario, Canada N1G 2W1</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Erosion</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>RUSLE</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Mountainous</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Tropical precipitation</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Conservation</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>This research integrates the Revised Universal Soil Loss Equation (RUSLE) with a Geographic Information System (GIS) to model erosion potential for soil conservation planning within the Sierra de Manantlán Biosphere Reserve (SMBR), Mexico. Mountainous topography and a tropical uni-modal precipitation regime characterize this region. These unique climatic and topographic characteristics required a modification of the standard RUSLE factors and their derivation. The resulting RUSLE–GIS model provides a robust soil conservation planning tool readily transferable and accessible to other land managers in similar environments. Future pressure to expand agriculture and grazing operations within the SMBR will unquestionably accentuate the already high rate of soil erosion and resultant sediment loading of watercourses occurring in this region. Until recently there did not exist a reliable or financially viable means to model and map soil erosion within large remote areas. An increase in the reliability and resolution of remote sensing techniques, modifications and advancements in watershed scale soil erosion modelling techniques, and advances in GIS, represent significantly improved tools that can be applied to both monitoring and modelling the effects of land use on soil erosion potential. Data used in this study to generate the RUSLE variables include a Landsat Thematic Mapper image (land cover), digitized topographic and soil maps, and tabular precipitation data. Soil erosion potential was modelled within Zenzontla, a sub-catchment of the Rı́o Ayuquı́la, located in the SMBR, and the results are presented as geo-referenced maps for each of the wet and dry precipitation seasons. These maps confirm that high and extreme areas of soil loss occur within the Zenzontla sub-catchment, and that erosion potential differs significantly between wet and dry seasons.</abstract><qualityIndicators><score>8</score><pdfVersion>1.2</pdfVersion><pdfPageSize>435 x 643 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>5</keywordCount><abstractCharCount>1880</abstractCharCount><pdfWordCount>8024</pdfWordCount><pdfCharCount>49075</pdfCharCount><pdfPageCount>21</pdfPageCount><abstractWordCount>271</abstractWordCount></qualityIndicators><title>Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed</title><pii><json:string>S0341-8162(99)00067-3</json:string></pii><genre><json:string>research-article</json:string></genre><host><volume>38</volume><pii><json:string>S0341-8162(00)X0033-1</json:string></pii><pages><last>129</last><first>109</first></pages><issn><json:string>0341-8162</json:string></issn><issue>2</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Catena</title><publicationDate>1999</publicationDate></host><categories><wos><json:string>science</json:string><json:string>water resources</json:string><json:string>soil science</json:string><json:string>geosciences, multidisciplinary</json:string></wos><scienceMetrix><json:string>natural sciences</json:string><json:string>earth & environmental sciences</json:string><json:string>geochemistry & geophysics</json:string></scienceMetrix></categories><publicationDate>1999</publicationDate><copyrightDate>1999</copyrightDate><doi><json:string>10.1016/S0341-8162(99)00067-3</json:string></doi><id>DEA11938093E611F81B80201AA164AB39EF05CD9</id><score>0.040580243</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/DEA11938093E611F81B80201AA164AB39EF05CD9/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/DEA11938093E611F81B80201AA164AB39EF05CD9/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/DEA11938093E611F81B80201AA164AB39EF05CD9/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a">Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>©1999 Elsevier Science B.V.</p></availability><date>1999</date></publicationStmt><notesStmt><note type="content">Fig. 1: Location of the study site in the SMBR, Mexico.</note><note type="content">Fig. 2: Maize production on marginal land in the Zenzontla sub-catchment of the Rı́o Ayuquı́la.</note><note type="content">Fig. 3: GIS data layers: (A) the DEM; (B) the precipitation surface; (C) the soil surface; and (D) the land cover surface.</note><note type="content">Fig. 4: RUSLE factors: (A) slope length and steepness factor (LS); (B) rainfall erosivity factor (R); (C) soil erodibility factor (K); and (D) cover management factor (C).</note><note type="content">Fig. 5: RUSLE output: (A) dry season conditions; (B) wet season conditions.</note><note type="content">Table 1: Correlation analysis between the precipitation surfaces and the DEM</note><note type="content">Table 2: Assignment of SLR values for varying agricultural stages of maize production within the Zenzontla sub-catchment (source:Secretaria de Agricultura y Recursos Hidraulicos, 1991)</note><note type="content">Table 3: Assignment of C-values on the basis of seasonal wet and dry distinctions for the Zenzontla sub-catchment</note><note type="content">Table 4: Derivation of the ordinal categories of soil erosion potential and the area and proportion of each category during the dry and wet season</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a">Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed</title><author xml:id="author-1"><persName><forename type="first">Andrew A</forename><surname>Millward</surname></persName><note type="biography">Tel.: +1-519-888-4567 ext. 2689; fax: +1-519-888-6768; E-mail: aamillwa@fes.uwaterloo.ca.</note><affiliation>Department of Geography, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1</affiliation></author><author xml:id="author-2"><persName><forename type="first">Janet E</forename><surname>Mersey</surname></persName><affiliation>Department of Geography, University of Guelph, Guelph, Ontario, Canada N1G 2W1</affiliation></author></analytic><monogr><title level="j">Catena</title><title level="j" type="abbrev">CATENA</title><idno type="pISSN">0341-8162</idno><idno type="PII">S0341-8162(00)X0033-1</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1999"></date><biblScope unit="volume">38</biblScope><biblScope unit="issue">2</biblScope><biblScope unit="page" from="109">109</biblScope><biblScope unit="page" to="129">129</biblScope></imprint></monogr><idno type="istex">DEA11938093E611F81B80201AA164AB39EF05CD9</idno><idno type="DOI">10.1016/S0341-8162(99)00067-3</idno><idno type="PII">S0341-8162(99)00067-3</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>1999</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>This research integrates the Revised Universal Soil Loss Equation (RUSLE) with a Geographic Information System (GIS) to model erosion potential for soil conservation planning within the Sierra de Manantlán Biosphere Reserve (SMBR), Mexico. Mountainous topography and a tropical uni-modal precipitation regime characterize this region. These unique climatic and topographic characteristics required a modification of the standard RUSLE factors and their derivation. The resulting RUSLE–GIS model provides a robust soil conservation planning tool readily transferable and accessible to other land managers in similar environments. Future pressure to expand agriculture and grazing operations within the SMBR will unquestionably accentuate the already high rate of soil erosion and resultant sediment loading of watercourses occurring in this region. Until recently there did not exist a reliable or financially viable means to model and map soil erosion within large remote areas. An increase in the reliability and resolution of remote sensing techniques, modifications and advancements in watershed scale soil erosion modelling techniques, and advances in GIS, represent significantly improved tools that can be applied to both monitoring and modelling the effects of land use on soil erosion potential. Data used in this study to generate the RUSLE variables include a Landsat Thematic Mapper image (land cover), digitized topographic and soil maps, and tabular precipitation data. Soil erosion potential was modelled within Zenzontla, a sub-catchment of the Rı́o Ayuquı́la, located in the SMBR, and the results are presented as geo-referenced maps for each of the wet and dry precipitation seasons. These maps confirm that high and extreme areas of soil loss occur within the Zenzontla sub-catchment, and that erosion potential differs significantly between wet and dry seasons.</p></abstract><textClass><keywords scheme="keyword"><list><head>Keywords</head><item><term>Erosion</term></item><item><term>RUSLE</term></item><item><term>Mountainous</term></item><item><term>Tropical precipitation</term></item><item><term>Conservation</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1999-05-25">Modified</change><change when="1999">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/DEA11938093E611F81B80201AA164AB39EF05CD9/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: ce:floats; body; tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"><istex:entity SYSTEM="gr1" NDATA="IMAGE" name="gr1"></istex:entity><istex:entity SYSTEM="gr2" NDATA="IMAGE" name="gr2"></istex:entity><istex:entity SYSTEM="gr3" NDATA="IMAGE" name="gr3"></istex:entity><istex:entity SYSTEM="gr4" NDATA="IMAGE" name="gr4"></istex:entity><istex:entity SYSTEM="gr5" NDATA="IMAGE" name="gr5"></istex:entity></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>CATENA</jid><aid>456</aid><ce:pii>S0341-8162(99)00067-3</ce:pii><ce:doi>10.1016/S0341-8162(99)00067-3</ce:doi><ce:copyright year="1999" type="full-transfer">Elsevier Science B.V.</ce:copyright></item-info><head><ce:title>Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed</ce:title><ce:author-group><ce:author><ce:given-name>Andrew A</ce:given-name><ce:surname>Millward</ce:surname><ce:cross-ref refid="AFF1">a</ce:cross-ref><ce:cross-ref refid="FN1"><ce:sup>1</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>Janet E</ce:given-name><ce:surname>Mersey</ce:surname><ce:cross-ref refid="AFF2">b</ce:cross-ref><ce:cross-ref refid="CORR1">*</ce:cross-ref></ce:author><ce:affiliation id="AFF1"><ce:label>a</ce:label><ce:textfn>Department of Geography, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1</ce:textfn></ce:affiliation><ce:affiliation id="AFF2"><ce:label>b</ce:label><ce:textfn>Department of Geography, University of Guelph, Guelph, Ontario, Canada N1G 2W1</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author. Tel.: +1-519-824-4120 ext. 3528; fax: +1-519-837-2940; E-mail: jmersey@uoguelph.ca</ce:text></ce:correspondence><ce:footnote id="FN1"><ce:label>1</ce:label><ce:note-para>Tel.: +1-519-888-4567 ext. 2689; fax: +1-519-888-6768; E-mail: aamillwa@fes.uwaterloo.ca.</ce:note-para></ce:footnote></ce:author-group><ce:date-received day="26" month="1" year="1999"></ce:date-received><ce:date-revised day="25" month="5" year="1999"></ce:date-revised><ce:date-accepted day="8" month="6" year="1999"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>This research integrates the Revised Universal Soil Loss Equation (RUSLE) with a Geographic Information System (GIS) to model erosion potential for soil conservation planning within the Sierra de Manantlán Biosphere Reserve (SMBR), Mexico. Mountainous topography and a tropical uni-modal precipitation regime characterize this region. These unique climatic and topographic characteristics required a modification of the standard RUSLE factors and their derivation. The resulting RUSLE–GIS model provides a robust soil conservation planning tool readily transferable and accessible to other land managers in similar environments. Future pressure to expand agriculture and grazing operations within the SMBR will unquestionably accentuate the already high rate of soil erosion and resultant sediment loading of watercourses occurring in this region. Until recently there did not exist a reliable or financially viable means to model and map soil erosion within large remote areas. An increase in the reliability and resolution of remote sensing techniques, modifications and advancements in watershed scale soil erosion modelling techniques, and advances in GIS, represent significantly improved tools that can be applied to both monitoring and modelling the effects of land use on soil erosion potential. Data used in this study to generate the RUSLE variables include a Landsat Thematic Mapper image (land cover), digitized topographic and soil maps, and tabular precipitation data. Soil erosion potential was modelled within Zenzontla, a sub-catchment of the Rı́o Ayuquı́la, located in the SMBR, and the results are presented as geo-referenced maps for each of the wet and dry precipitation seasons. These maps confirm that high and extreme areas of soil loss occur within the Zenzontla sub-catchment, and that erosion potential differs significantly between wet and dry seasons.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Erosion</ce:text></ce:keyword><ce:keyword><ce:text>RUSLE</ce:text></ce:keyword><ce:keyword><ce:text>Mountainous</ce:text></ce:keyword><ce:keyword><ce:text>Tropical precipitation</ce:text></ce:keyword><ce:keyword><ce:text>Conservation</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed</title></titleInfo><name type="personal"><namePart type="given">Andrew A</namePart><namePart type="family">Millward</namePart><affiliation>Department of Geography, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1</affiliation><description>Tel.: +1-519-888-4567 ext. 2689; fax: +1-519-888-6768; E-mail: aamillwa@fes.uwaterloo.ca.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Janet E</namePart><namePart type="family">Mersey</namePart><affiliation>Department of Geography, University of Guelph, Guelph, Ontario, Canada N1G 2W1</affiliation><description>Corresponding author. Tel.: +1-519-824-4120 ext. 3528; fax: +1-519-837-2940; E-mail: jmersey@uoguelph.ca</description><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">1999</dateIssued><dateModified encoding="w3cdtf">1999-05-25</dateModified><copyrightDate encoding="w3cdtf">1999</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">This research integrates the Revised Universal Soil Loss Equation (RUSLE) with a Geographic Information System (GIS) to model erosion potential for soil conservation planning within the Sierra de Manantlán Biosphere Reserve (SMBR), Mexico. Mountainous topography and a tropical uni-modal precipitation regime characterize this region. These unique climatic and topographic characteristics required a modification of the standard RUSLE factors and their derivation. The resulting RUSLE–GIS model provides a robust soil conservation planning tool readily transferable and accessible to other land managers in similar environments. Future pressure to expand agriculture and grazing operations within the SMBR will unquestionably accentuate the already high rate of soil erosion and resultant sediment loading of watercourses occurring in this region. Until recently there did not exist a reliable or financially viable means to model and map soil erosion within large remote areas. An increase in the reliability and resolution of remote sensing techniques, modifications and advancements in watershed scale soil erosion modelling techniques, and advances in GIS, represent significantly improved tools that can be applied to both monitoring and modelling the effects of land use on soil erosion potential. Data used in this study to generate the RUSLE variables include a Landsat Thematic Mapper image (land cover), digitized topographic and soil maps, and tabular precipitation data. Soil erosion potential was modelled within Zenzontla, a sub-catchment of the Rı́o Ayuquı́la, located in the SMBR, and the results are presented as geo-referenced maps for each of the wet and dry precipitation seasons. These maps confirm that high and extreme areas of soil loss occur within the Zenzontla sub-catchment, and that erosion potential differs significantly between wet and dry seasons.</abstract><note type="content">Fig. 1: Location of the study site in the SMBR, Mexico.</note><note type="content">Fig. 2: Maize production on marginal land in the Zenzontla sub-catchment of the Rı́o Ayuquı́la.</note><note type="content">Fig. 3: GIS data layers: (A) the DEM; (B) the precipitation surface; (C) the soil surface; and (D) the land cover surface.</note><note type="content">Fig. 4: RUSLE factors: (A) slope length and steepness factor (LS); (B) rainfall erosivity factor (R); (C) soil erodibility factor (K); and (D) cover management factor (C).</note><note type="content">Fig. 5: RUSLE output: (A) dry season conditions; (B) wet season conditions.</note><note type="content">Table 1: Correlation analysis between the precipitation surfaces and the DEM</note><note type="content">Table 2: Assignment of SLR values for varying agricultural stages of maize production within the Zenzontla sub-catchment (source:Secretaria de Agricultura y Recursos Hidraulicos, 1991)</note><note type="content">Table 3: Assignment of C-values on the basis of seasonal wet and dry distinctions for the Zenzontla sub-catchment</note><note type="content">Table 4: Derivation of the ordinal categories of soil erosion potential and the area and proportion of each category during the dry and wet season</note><subject><genre>Keywords</genre><topic>Erosion</topic><topic>RUSLE</topic><topic>Mountainous</topic><topic>Tropical precipitation</topic><topic>Conservation</topic></subject><relatedItem type="host"><titleInfo><title>Catena</title></titleInfo><titleInfo type="abbreviated"><title>CATENA</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199912</dateIssued></originInfo><identifier type="ISSN">0341-8162</identifier><identifier type="PII">S0341-8162(00)X0033-1</identifier><part><date>199912</date><detail type="volume"><number>38</number><caption>vol.</caption></detail><detail type="issue"><number>2</number><caption>no.</caption></detail><extent unit="issue pages"><start>89</start><end>174</end></extent><extent unit="pages"><start>109</start><end>129</end></extent></part></relatedItem><identifier type="istex">DEA11938093E611F81B80201AA164AB39EF05CD9</identifier><identifier type="DOI">10.1016/S0341-8162(99)00067-3</identifier><identifier type="PII">S0341-8162(99)00067-3</identifier><accessCondition type="use and reproduction" contentType="copyright">©1999 Elsevier Science B.V.</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science B.V., ©1999</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed
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