Modelling of the topsoil organic carbon content by analysing the potential of spectroscopic techniques for digital soil mapping

Soil organic carbon represents the largest terrestrial carbon pool, being one of the most relevant components in the carbon cycle budget and climate change feedbacks. The scientific community and policymakers expressed the need for spatially information about its distribution. This work aims to deve...

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Detalhes bibliográficos
Autor: Rial Tubío, Marcela
Formato: tesis doctoral
Fecha de publicación:2017
País:España
Recursos:Universidad de Santiago de Compostela (USC)
Repositorio:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
Idioma:inglés
OAI Identifier:oai:minerva.usc.gal:10347/16135
Acesso em linha:http://hdl.handle.net/10347/16135
Access Level:acceso abierto
Palavra-chave:Materias::Investigación::25 Ciencias de la tierra y del espacio::2511 Ciencias del suelo (Edafología)::251103 Cartografía de suelos
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spelling Modelling of the topsoil organic carbon content by analysing the potential of spectroscopic techniques for digital soil mappingRial Tubío, MarcelaMaterias::Investigación::25 Ciencias de la tierra y del espacio::2511 Ciencias del suelo (Edafología)::251103 Cartografía de suelosSoil organic carbon represents the largest terrestrial carbon pool, being one of the most relevant components in the carbon cycle budget and climate change feedbacks. The scientific community and policymakers expressed the need for spatially information about its distribution. This work aims to develop statistical methods to quantify topsoil organic carbon by using spectroscopic data as a tool for digital soil mapping. Firstly, it was explored the capacity of spectroscopy for map soil organic carbon content at regional scale using topsoil samples from Galicia (NW-Spain). Next, it was developed a spatially non-stationary approach that allows mapping soil organic carbon content and also identifying the factors more relevant for its accumulation in Europe. Finally, it was evaluated the capacity of digital soil mapping methods for monitoring the soil organic carbon stocks expected under different climate change scenarios using for such purpose legacy data from Santa Cruz Island (Galapagos).Martínez Cortizas, AntonioRodríguez Lado, LuisUniversidade de Santiago de Compostela. Departamento de Edafoloxía e Química AgrícolaFacultade de Bioloxía20172017-01-0120172017-01-01doctoral thesishttp://purl.org/coar/resource_type/c_db06info:eu-repo/semantics/doctoralThesisapplication/pdfhttp://hdl.handle.net/10347/16135reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostelainstname:Universidad de Santiago de Compostela (USC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Esta obra atópase baixo unha licenza internacional Creative Commons BY-NC-ND 4.0. Calquera forma de reprodución, distribución, comunicación pública ou transformación desta obra non incluída na licenza Creative Commons BY-NC-ND 4.0 só pode ser realizada coa autorización expresa dos titulares, salvo excepción prevista pola lei. Pode acceder Vde. ao texto completo da licenza nesta ligazón: https://creativecommons.org/licenses/by-nc-nd/4.0/deed.glhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.glinfo:eu-repo/semantics/openAccessoai:minerva.usc.gal:10347/161352026-06-15T12:47:27Z
dc.title.none.fl_str_mv Modelling of the topsoil organic carbon content by analysing the potential of spectroscopic techniques for digital soil mapping
title Modelling of the topsoil organic carbon content by analysing the potential of spectroscopic techniques for digital soil mapping
spellingShingle Modelling of the topsoil organic carbon content by analysing the potential of spectroscopic techniques for digital soil mapping
Rial Tubío, Marcela
Materias::Investigación::25 Ciencias de la tierra y del espacio::2511 Ciencias del suelo (Edafología)::251103 Cartografía de suelos
title_short Modelling of the topsoil organic carbon content by analysing the potential of spectroscopic techniques for digital soil mapping
title_full Modelling of the topsoil organic carbon content by analysing the potential of spectroscopic techniques for digital soil mapping
title_fullStr Modelling of the topsoil organic carbon content by analysing the potential of spectroscopic techniques for digital soil mapping
title_full_unstemmed Modelling of the topsoil organic carbon content by analysing the potential of spectroscopic techniques for digital soil mapping
title_sort Modelling of the topsoil organic carbon content by analysing the potential of spectroscopic techniques for digital soil mapping
dc.creator.none.fl_str_mv Rial Tubío, Marcela
author Rial Tubío, Marcela
author_facet Rial Tubío, Marcela
author_role author
dc.contributor.none.fl_str_mv Martínez Cortizas, Antonio
Rodríguez Lado, Luis
Universidade de Santiago de Compostela. Departamento de Edafoloxía e Química Agrícola
Facultade de Bioloxía
dc.subject.none.fl_str_mv Materias::Investigación::25 Ciencias de la tierra y del espacio::2511 Ciencias del suelo (Edafología)::251103 Cartografía de suelos
topic Materias::Investigación::25 Ciencias de la tierra y del espacio::2511 Ciencias del suelo (Edafología)::251103 Cartografía de suelos
description Soil organic carbon represents the largest terrestrial carbon pool, being one of the most relevant components in the carbon cycle budget and climate change feedbacks. The scientific community and policymakers expressed the need for spatially information about its distribution. This work aims to develop statistical methods to quantify topsoil organic carbon by using spectroscopic data as a tool for digital soil mapping. Firstly, it was explored the capacity of spectroscopy for map soil organic carbon content at regional scale using topsoil samples from Galicia (NW-Spain). Next, it was developed a spatially non-stationary approach that allows mapping soil organic carbon content and also identifying the factors more relevant for its accumulation in Europe. Finally, it was evaluated the capacity of digital soil mapping methods for monitoring the soil organic carbon stocks expected under different climate change scenarios using for such purpose legacy data from Santa Cruz Island (Galapagos).
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01
2017
2017-01-01
dc.type.none.fl_str_mv doctoral thesis
http://purl.org/coar/resource_type/c_db06
dc.type.openaire.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10347/16135
url http://hdl.handle.net/10347/16135
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.gl
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.gl
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
instname:Universidad de Santiago de Compostela (USC)
instname_str Universidad de Santiago de Compostela (USC)
reponame_str Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
collection Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
repository.name.fl_str_mv
repository.mail.fl_str_mv
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