Assessing soil redistribution in a complex karst catchment using fallout 137Cs and GIS

11 Pág., 5 Fig., 6 Tabl. The definitive version is available at: http://www.sciencedirect.com/science/article/pii/S0169555X12001444

Detalles Bibliográficos
Autores: Navas Izquierdo, Ana, López-Vicente, Manuel, Gaspar Ferrer, Leticia, Machín Gayarre, Javier
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/80482
Acceso en línea:http://hdl.handle.net/10261/80482
Access Level:acceso abierto
Palabra clave:Soil redistribution
137Cs
DEM
GIS
Karst catchment
Erosional and depositional landforms
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spelling Assessing soil redistribution in a complex karst catchment using fallout 137Cs and GISNavas Izquierdo, AnaLópez-Vicente, ManuelGaspar Ferrer, LeticiaMachín Gayarre, JavierSoil redistribution137CsDEMGISKarst catchmentErosional and depositional landforms11 Pág., 5 Fig., 6 Tabl. The definitive version is available at: http://www.sciencedirect.com/science/article/pii/S0169555X12001444Caesium-137 derived from nuclear testing in the past century has been widely used as a sediment tracer of soil redistribution, providing information on medium term (40-50years) erosion rates. To date, most studies have focused on individual fields of limited extent, but estimated rates and patterns of soil redistribution require upscaling to catchment level. An attempt to assess soil redistribution processes with strong geomorphic control on complex terrain, such as an internally drained karst catchment, is presented in this work. A comprehensive geomorphological survey of the Estanya Lake catchment (Spanish Pyrenees) enabled the main geomorphic elements to be identified with a grid resolution of 5×5m, which was the basis for the terrain analyses. A detailed DEM was constructed and improved after field identification of the drainage system and point measures on gentle slopes with Total Topographic Station. A 100×100m sampling grid was established to derive point data of 137Cs inventories across the catchment. Geostatistical interpolation of point samples of 137Cs inventories in soil was carried out to identify and assess the areas of sediment gain and loss by comparing with 137Cs reference inventories. Profile activity models were used to calibrate 137Cs data and to derive estimates of soil redistribution. GIS was used to provide spatially distributed erosion and deposition rates in the landscape for the whole catchment. The median values of soil erosion and deposition of 4.7 and 3.1Mgha-1year-1, respectively, showed a large variability and reveal coupling between erosional and depositional forms in the catchment. The highest erosion and deposition rates were found in cultivated fields at the southern sector of the catchment. The spatial analysis of the results supports the importance of taking into account geomorphological features in karst catchments as relevant controlling factors in soil redistribution processes.This work had financial support from CICYT project EROMED (CGL2011-25486)Peer ReviewedElsevier2013201320132013info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/80482reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1016/j.geomorph.2012.03.018info:eu-repo/semantics/openAccessoai:digital.csic.es:10261/804822026-05-22T06:33:51Z
dc.title.none.fl_str_mv Assessing soil redistribution in a complex karst catchment using fallout 137Cs and GIS
title Assessing soil redistribution in a complex karst catchment using fallout 137Cs and GIS
spellingShingle Assessing soil redistribution in a complex karst catchment using fallout 137Cs and GIS
Navas Izquierdo, Ana
Soil redistribution
137Cs
DEM
GIS
Karst catchment
Erosional and depositional landforms
title_short Assessing soil redistribution in a complex karst catchment using fallout 137Cs and GIS
title_full Assessing soil redistribution in a complex karst catchment using fallout 137Cs and GIS
title_fullStr Assessing soil redistribution in a complex karst catchment using fallout 137Cs and GIS
title_full_unstemmed Assessing soil redistribution in a complex karst catchment using fallout 137Cs and GIS
title_sort Assessing soil redistribution in a complex karst catchment using fallout 137Cs and GIS
dc.creator.none.fl_str_mv Navas Izquierdo, Ana
López-Vicente, Manuel
Gaspar Ferrer, Leticia
Machín Gayarre, Javier
author Navas Izquierdo, Ana
author_facet Navas Izquierdo, Ana
López-Vicente, Manuel
Gaspar Ferrer, Leticia
Machín Gayarre, Javier
author_role author
author2 López-Vicente, Manuel
Gaspar Ferrer, Leticia
Machín Gayarre, Javier
author2_role author
author
author
dc.subject.none.fl_str_mv Soil redistribution
137Cs
DEM
GIS
Karst catchment
Erosional and depositional landforms
topic Soil redistribution
137Cs
DEM
GIS
Karst catchment
Erosional and depositional landforms
description 11 Pág., 5 Fig., 6 Tabl. The definitive version is available at: http://www.sciencedirect.com/science/article/pii/S0169555X12001444
publishDate 2013
dc.date.none.fl_str_mv 2013
2013
2013
2013
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/80482
url http://hdl.handle.net/10261/80482
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.1016/j.geomorph.2012.03.018
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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