Conservation strategies for effective land management of protected areas using an erosion prediction information system (EPIS).
Identifieur interne : 000506 ( PubMed/Corpus ); précédent : 000505; suivant : 000507Conservation strategies for effective land management of protected areas using an erosion prediction information system (EPIS).
Auteurs : A A Millward ; J E MerseySource :
- Journal of environmental management [ 0301-4797 ] ; 2001.
English descriptors
- KwdEn :
- MESH :
Abstract
This research demonstrates the predictive modeling capabilities of a geographic information system (GIS)-based soil erosion potential model to assess the effects of implementing land use change within a tropical watershed. The Revised Universal Soil Loss Equation (RUSLE) was integrated with a GIS to produce an Erosion Prediction Information System (EPIS) and modified to reflect conditions found in the mountainous tropics. Research was conducted in the Zenzontia subcatchment of the Río Ayuquíla, located within the Sierra de Manantlán Biosphere Reserve (SMBR), México. Expanding agricultural activities within this area will accentuate the already high rate of soil erosion and resultant sediment loading occurring in the Río Ayuquíla. Two land-use change scenarios are modeled with the EPIS: (1) implementation of soil conservation practices in erosion prone locations; and (2) selection of sites for agricultural expansion which minimize potential soil loss. Confronted with limited financial resources and the necessity for expedient action, managers of the SMBR can draw upon the predictive capacity of the EPIS to facilitate rapid and informed land-use planning decisions.
DOI: 10.1006/jema.2000.0415
PubMed: 11383105
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pubmed:11383105Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Conservation strategies for effective land management of protected areas using an erosion prediction information system (EPIS).</title><author><name sortKey="Millward, A A" sort="Millward, A A" uniqKey="Millward A" first="A A" last="Millward">A A Millward</name><affiliation><nlm:affiliation>Department of Geography, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1.</nlm:affiliation></affiliation></author><author><name sortKey="Mersey, J E" sort="Mersey, J E" uniqKey="Mersey J" first="J E" last="Mersey">J E Mersey</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2001">2001</date><idno type="RBID">pubmed:11383105</idno><idno type="pmid">11383105</idno><idno type="doi">10.1006/jema.2000.0415</idno><idno type="wicri:Area/PubMed/Corpus">000506</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000506</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Conservation strategies for effective land management of protected areas using an erosion prediction information system (EPIS).</title><author><name sortKey="Millward, A A" sort="Millward, A A" uniqKey="Millward A" first="A A" last="Millward">A A Millward</name><affiliation><nlm:affiliation>Department of Geography, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1.</nlm:affiliation></affiliation></author><author><name sortKey="Mersey, J E" sort="Mersey, J E" uniqKey="Mersey J" first="J E" last="Mersey">J E Mersey</name></author></analytic><series><title level="j">Journal of environmental management</title><idno type="ISSN">0301-4797</idno><imprint><date when="2001" type="published">2001</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Agriculture</term><term>Conservation of Natural Resources</term><term>Decision Making</term><term>Geography</term><term>Information Systems</term><term>Models, Theoretical</term><term>Soil</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Soil</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Agriculture</term><term>Conservation of Natural Resources</term><term>Decision Making</term><term>Geography</term><term>Information Systems</term><term>Models, Theoretical</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This research demonstrates the predictive modeling capabilities of a geographic information system (GIS)-based soil erosion potential model to assess the effects of implementing land use change within a tropical watershed. The Revised Universal Soil Loss Equation (RUSLE) was integrated with a GIS to produce an Erosion Prediction Information System (EPIS) and modified to reflect conditions found in the mountainous tropics. Research was conducted in the Zenzontia subcatchment of the Río Ayuquíla, located within the Sierra de Manantlán Biosphere Reserve (SMBR), México. Expanding agricultural activities within this area will accentuate the already high rate of soil erosion and resultant sediment loading occurring in the Río Ayuquíla. Two land-use change scenarios are modeled with the EPIS: (1) implementation of soil conservation practices in erosion prone locations; and (2) selection of sites for agricultural expansion which minimize potential soil loss. Confronted with limited financial resources and the necessity for expedient action, managers of the SMBR can draw upon the predictive capacity of the EPIS to facilitate rapid and informed land-use planning decisions.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">11383105</PMID><DateCreated><Year>2001</Year><Month>05</Month><Day>31</Day></DateCreated><DateCompleted><Year>2001</Year><Month>06</Month><Day>14</Day></DateCompleted><DateRevised><Year>2006</Year><Month>04</Month><Day>17</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0301-4797</ISSN><JournalIssue CitedMedium="Print"><Volume>61</Volume><Issue>4</Issue><PubDate><Year>2001</Year><Month>Apr</Month></PubDate></JournalIssue><Title>Journal of environmental management</Title><ISOAbbreviation>J. Environ. Manage.</ISOAbbreviation></Journal><ArticleTitle>Conservation strategies for effective land management of protected areas using an erosion prediction information system (EPIS).</ArticleTitle><Pagination><MedlinePgn>329-43</MedlinePgn></Pagination><Abstract><AbstractText>This research demonstrates the predictive modeling capabilities of a geographic information system (GIS)-based soil erosion potential model to assess the effects of implementing land use change within a tropical watershed. The Revised Universal Soil Loss Equation (RUSLE) was integrated with a GIS to produce an Erosion Prediction Information System (EPIS) and modified to reflect conditions found in the mountainous tropics. Research was conducted in the Zenzontia subcatchment of the Río Ayuquíla, located within the Sierra de Manantlán Biosphere Reserve (SMBR), México. Expanding agricultural activities within this area will accentuate the already high rate of soil erosion and resultant sediment loading occurring in the Río Ayuquíla. Two land-use change scenarios are modeled with the EPIS: (1) implementation of soil conservation practices in erosion prone locations; and (2) selection of sites for agricultural expansion which minimize potential soil loss. Confronted with limited financial resources and the necessity for expedient action, managers of the SMBR can draw upon the predictive capacity of the EPIS to facilitate rapid and informed land-use planning decisions.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Millward</LastName><ForeName>A A</ForeName><Initials>AA</Initials><AffiliationInfo><Affiliation>Department of Geography, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mersey</LastName><ForeName>J E</ForeName><Initials>JE</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>J Environ Manage</MedlineTA><NlmUniqueID>0401664</NlmUniqueID><ISSNLinking>0301-4797</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D012987">Soil</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000383" MajorTopicYN="N">Agriculture</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003247" MajorTopicYN="Y">Conservation of Natural Resources</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003657" MajorTopicYN="N">Decision Making</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005843" MajorTopicYN="N">Geography</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007256" MajorTopicYN="Y">Information Systems</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008962" MajorTopicYN="Y">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012987" MajorTopicYN="Y">Soil</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2001</Year><Month>6</Month><Day>1</Day><Hour>10</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2001</Year><Month>6</Month><Day>15</Day><Hour>10</Hour><Minute>1</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2001</Year><Month>6</Month><Day>1</Day><Hour>10</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">11383105</ArticleId><ArticleId IdType="pii">S0301-4797(00)90415-8</ArticleId><ArticleId IdType="doi">10.1006/jema.2000.0415</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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