Management implications inferred from the multivariate analysis of vadose zone chemical variables in Las Tablas de Daimiel National Park (Spain)

A multivariate analysis approach has been developed in order to explain the observed variability in soil chemistry at Las Tablas de Daimiel National Park (TDNP). Either natural or anthropogenic alterations of the amount or distribution of these chemicals may have severe consequences not only on the...

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Autores: Aguilera Alonso, Héctor, Moreno Merino, Luis, Jiménez Hernández, María E., Castaño Castaño, Silvino, Losa Román, Almudena de la
Tipo de recurso: artículo
Fecha de publicación:2011
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/277233
Acceso en línea:http://hdl.handle.net/10261/277233
https://doi.org/10.1016/j.geoderma.2011.03.009
Access Level:acceso abierto
Palabra clave:soil profiles
Nutrients
redundancy analysis
anthropogenic (activity)
wetlands
Tablas de Daimiel
Parques naturales
provincia Ciudad Real
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spelling Management implications inferred from the multivariate analysis of vadose zone chemical variables in Las Tablas de Daimiel National Park (Spain)Aguilera Alonso, HéctorMoreno Merino, LuisJiménez Hernández, María E.Castaño Castaño, SilvinoLosa Román, Almudena de lasoil profilesNutrientsredundancy analysisanthropogenic (activity)wetlandsTablas de DaimielParques naturalesprovincia Ciudad RealA multivariate analysis approach has been developed in order to explain the observed variability in soil chemistry at Las Tablas de Daimiel National Park (TDNP). Either natural or anthropogenic alterations of the amount or distribution of these chemicals may have severe consequences not only on the Tablas ecosystem itself, but also downstream the watershed (i.e. eutrophication), given the actual system functioning as recharge area for the Western La Mancha aquifer. The analysis has been carried out over 20 chemical variables measured at different depths in 22 sites along TDNP (n = 111), considering their interaction with 3 environmental factors: soil type, microtopographic variation and position upstream or downstream the central dam. Statistical analysis consisted on bivariate correlation, trend surface analysis, analysis of variance, principal component analysis and redundancy analysis. The results allow defining the vadose zone in TDNP as a highly saline carbonated media, with a large accumulation of solutes in the topsoil (0–20 cm). Recent drainage conditions favor the process of organic matter mineralization and subsequent nutrient release, thus increasing the risk of groundwater pollution. The multivariate model approximately explains 60% of the observed variability, 40% in terms of the environmental factors, and allows distinguishing three main domains: saline, organic and carbonated. This paper discusses the management implications derived from this analysis taking into account that the environmental factors considered are susceptible from being modified by certain managing activities such as reed reaping, construction of ditches and artificial ponding with brackish groundwater.Instituto Geológico y Minero de España, EspañaElsevierMinisterio de Ciencia e Innovación (España)202220222011info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/277233https://doi.org/10.1016/j.geoderma.2011.03.009reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#CGL2005-06458-C02-01https://www.sciencedirect.com/science/article/abs/pii/S0016706111000723info:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2772332026-05-22T06:33:51Z
dc.title.none.fl_str_mv Management implications inferred from the multivariate analysis of vadose zone chemical variables in Las Tablas de Daimiel National Park (Spain)
title Management implications inferred from the multivariate analysis of vadose zone chemical variables in Las Tablas de Daimiel National Park (Spain)
spellingShingle Management implications inferred from the multivariate analysis of vadose zone chemical variables in Las Tablas de Daimiel National Park (Spain)
Aguilera Alonso, Héctor
soil profiles
Nutrients
redundancy analysis
anthropogenic (activity)
wetlands
Tablas de Daimiel
Parques naturales
provincia Ciudad Real
title_short Management implications inferred from the multivariate analysis of vadose zone chemical variables in Las Tablas de Daimiel National Park (Spain)
title_full Management implications inferred from the multivariate analysis of vadose zone chemical variables in Las Tablas de Daimiel National Park (Spain)
title_fullStr Management implications inferred from the multivariate analysis of vadose zone chemical variables in Las Tablas de Daimiel National Park (Spain)
title_full_unstemmed Management implications inferred from the multivariate analysis of vadose zone chemical variables in Las Tablas de Daimiel National Park (Spain)
title_sort Management implications inferred from the multivariate analysis of vadose zone chemical variables in Las Tablas de Daimiel National Park (Spain)
dc.creator.none.fl_str_mv Aguilera Alonso, Héctor
Moreno Merino, Luis
Jiménez Hernández, María E.
Castaño Castaño, Silvino
Losa Román, Almudena de la
author Aguilera Alonso, Héctor
author_facet Aguilera Alonso, Héctor
Moreno Merino, Luis
Jiménez Hernández, María E.
Castaño Castaño, Silvino
Losa Román, Almudena de la
author_role author
author2 Moreno Merino, Luis
Jiménez Hernández, María E.
Castaño Castaño, Silvino
Losa Román, Almudena de la
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
dc.subject.none.fl_str_mv soil profiles
Nutrients
redundancy analysis
anthropogenic (activity)
wetlands
Tablas de Daimiel
Parques naturales
provincia Ciudad Real
topic soil profiles
Nutrients
redundancy analysis
anthropogenic (activity)
wetlands
Tablas de Daimiel
Parques naturales
provincia Ciudad Real
description A multivariate analysis approach has been developed in order to explain the observed variability in soil chemistry at Las Tablas de Daimiel National Park (TDNP). Either natural or anthropogenic alterations of the amount or distribution of these chemicals may have severe consequences not only on the Tablas ecosystem itself, but also downstream the watershed (i.e. eutrophication), given the actual system functioning as recharge area for the Western La Mancha aquifer. The analysis has been carried out over 20 chemical variables measured at different depths in 22 sites along TDNP (n = 111), considering their interaction with 3 environmental factors: soil type, microtopographic variation and position upstream or downstream the central dam. Statistical analysis consisted on bivariate correlation, trend surface analysis, analysis of variance, principal component analysis and redundancy analysis. The results allow defining the vadose zone in TDNP as a highly saline carbonated media, with a large accumulation of solutes in the topsoil (0–20 cm). Recent drainage conditions favor the process of organic matter mineralization and subsequent nutrient release, thus increasing the risk of groundwater pollution. The multivariate model approximately explains 60% of the observed variability, 40% in terms of the environmental factors, and allows distinguishing three main domains: saline, organic and carbonated. This paper discusses the management implications derived from this analysis taking into account that the environmental factors considered are susceptible from being modified by certain managing activities such as reed reaping, construction of ditches and artificial ponding with brackish groundwater.
publishDate 2011
dc.date.none.fl_str_mv 2011
2022
2022
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/10261/277233
https://doi.org/10.1016/j.geoderma.2011.03.009
url http://hdl.handle.net/10261/277233
https://doi.org/10.1016/j.geoderma.2011.03.009
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
CGL2005-06458-C02-01
https://www.sciencedirect.com/science/article/abs/pii/S0016706111000723
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 15,812429

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