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Integrating geostatistics and GIS for assessment of erosion risk on low density Quercus suber woodlands of south Portugal

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dc.contributor.authorPanagopoulos, Thomas
dc.contributor.authorAntunes, Maria Dulce
dc.date.accessioned2015-06-19T13:47:31Z
dc.date.available2015-06-19T13:47:31Z
dc.date.issued2008
dc.description.abstractThis research integrates the Revised Universal Soil Loss Equation (RUSLE) with geostatistical techniques and a Geographic Information System (GIS) to model erosion potential for soil conservation planning in Quercus suber agrosilvopastoral woodlands in the Algarve region of southern Portugal. Graphical interpretation Of the RUSLE parameters was performed using ordinary kriging. Semi-variograms were produced for each parameter. The maps resulting from the interpolation techniques were introduced in a GIS and their values reclassified. After that, spatial modelling was used to develop the final overlay map from all the information of the analyzed soil properties and RUSLE parameters, simulating "a potential soil erosion map." Hydraulic conductivity and the soil erodibility K factor with a nugget-to-sill ratio of 57% and 67%, respectively, showed the weakest spatial dependence, whereas organic matter demonstrated the strongest (31%). The maps created demonstrate the existence of a heavily textured area in the southern part of the site that could affect erosion and vegetation management techniques. Hydraulic conductivity was higher than 6cm/h in the northeastern part of the experimental area. The correlation between the spatially interpolated and observed values during the semi-variogram cross-validation, using the data set for method development, was high (r(2) > 0.81). The northwestern area was the most adequate for annual fodder cultivation. The most degraded and less suitable areas were in the southern part, with 108 t/ha potential erosion. Site-specific management methods could improve productivity and decrease the risk of erosion. The present research shows that geostatistics and GIS are useful tools for sustainable management Of extensive agrosilvopastoral areas.
dc.identifier.doihttps://dx.doi.org/10.1080/15324980801958000
dc.identifier.issn1532-4982
dc.identifier.otherAUT: MAN00114;
dc.identifier.urihttp://hdl.handle.net/10400.1/6467
dc.language.isoeng
dc.peerreviewedyes
dc.publisherTaylor & Francis Inc.
dc.relation.isbasedonP-004-094
dc.titleIntegrating geostatistics and GIS for assessment of erosion risk on low density Quercus suber woodlands of south Portugal
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage177
oaire.citation.startPage159
oaire.citation.titleArid Land Research and Management
oaire.citation.volume22
person.familyNamePanagopoulos
person.familyNameAntunes
person.givenNameThomas
person.givenNameMaria Dulce
person.identifierR-000-K9N
person.identifier177556
person.identifier.ciencia-id411D-5652-57A8
person.identifier.ciencia-idC11B-9B05-217E
person.identifier.orcid0000-0002-8073-2097
person.identifier.orcid0000-0002-8913-6136
person.identifier.ridA-3048-2012
person.identifier.ridA-4683-2012
person.identifier.scopus-author-id9736690000
person.identifier.scopus-author-id7102645075
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublication3dfd5be1-8e22-4dda-bd34-f3b1e5f249e2
relation.isAuthorOfPublication7947cc50-4ae0-4ada-8ddf-081f247adc90
relation.isAuthorOfPublication.latestForDiscovery3dfd5be1-8e22-4dda-bd34-f3b1e5f249e2

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