Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/22615
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Campo DC Valor Lengua/Idioma
dc.contributor.authorLópez-Vicente, Manuel-
dc.contributor.authorNavas Izquierdo, Ana-
dc.date.accessioned2010-03-26T09:01:39Z-
dc.date.available2010-03-26T09:01:39Z-
dc.date.issued2010-03-26-
dc.identifier.citationLópez-Vicente M, Navas A. Routing runoff and soil particles in a distributed model with GIS: implications for soil protection in mountain agricultural landscapes. Land Degradation and Development 21(2): 100–109 (2010)en_US
dc.identifier.issn1085-3278-
dc.identifier.urihttp://hdl.handle.net/10261/22615-
dc.description22 Pag., 3 Fig., 3 Tabl. The definitive version is available at: http://www3.interscience.wiley.com/journal/6175/home-
dc.description.abstractSoil erosion by water is a serious threat to crop sustainability and one of the main causes of landscape degradation in Mediterranean environments. The accurate assessment of soil erosion is a first requirement to face the problem of soil loss in highly fragile mountain environments. In this work, simple flow (D8), multiple flow (MD) and combined flow (MDD8) algorithms are used to compute cumulative runoff. Effective runoff is estimated after accounting infiltration and soil surface properties and added to the revised Morgan, Morgan and Finney (RMMF) model of soil erosion at the “Laguna Grande de Estaña” catchment (Spanish pre-Pyrenees). The combined flow algorithm explicitly associated to the gullies (MDD8-G) leads to a more realistic assessment of runoff pathways. The MD algorithm generates unrealistic maps of concentrated runoff in gullies and overestimates soil erosion rates (average rate of 75 Mg ha-1 yr-1). The D8 and MDD8-G algorithms estimate similar values of soil erosion (average rates at catchment scale of 37 and 44 Mg ha-1 yr-1, respectively). Paths, crops on steep slopes, open Mediterranean forest and sparse scrublands have the highest values of soil erosion (more than 50 Mg ha-1 yr-1). The estimated rates with the MDD8-G algorithm in control points in crops, forest and scrublands fit better with available data from 137Cs than those obtained with the D8 algorithm. Therefore, the MDD8-G algorithm improves the quality predictions of soil erosion and is of interest to study processes of overland flow in Mediterranean environments with presence of gullies.en_US
dc.description.sponsorshipThis research was funded by the CICYT Project CGL2005-02009/BTE.en_US
dc.format.extent903960 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoengen_US
dc.publisherJohn Wiley & Sonsen_US
dc.rightsopenAccessen_US
dc.subjectrunoffen_US
dc.subjectsoil erosionen_US
dc.subjectRMMF modelen_US
dc.subjectflow accumulation algorithmen_US
dc.subjectGISen_US
dc.subjectGullyen_US
dc.subjectMediterranean agrosystemen_US
dc.subjectSpainen_US
dc.titleRouting runoff and soil particles in a distributed model with GIS: implications for soil protection in mountain agricultural landscapesen_US
dc.typeartículoen_US
dc.identifier.doi10.1002/ldr.901-
dc.description.peerreviewedPeer revieweden_US
dc.relation.publisherversionhttp://dx.doi.org/10.1002/ldr.901-
dc.identifier.e-issn1099-145X-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
Aparece en las colecciones: (EEAD) Artículos
Ficheros en este ítem:
Show simple item record

CORE Recommender

SCOPUSTM   
Citations

30
checked on 27-mar-2024

WEB OF SCIENCETM
Citations

30
checked on 27-feb-2024

Page view(s)

471
checked on 28-mar-2024

Download(s)

390
checked on 28-mar-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.