Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic Peninsula

Autores
Neder, Camila; Sahade, Ricardo Jose; Abele, Doris; Pesch, Roland; Jerosch, Kerstin
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The glacier retreat observed during the last decades at Potter Cove (PC) causes an increasing amount of suspended particulate matter (SPM) in the water column, which has a high impact on sessile filter feeder? species at PC located at the West Antarctic Peninsula. SPM presents a highly-fluctuating dynamic pattern on a daily, monthly, seasonal, and interannual basis. Geostatistical interpolation techniques are widely used by default to generate reliable spatial information and thereby to improve the ecological understanding of environmental variables, which is often fundamental for guiding decision-makers and scientists. In this study, we compared the results of default and configured settings of three geostatistical algorithms (Simple Kriging, Ordinary Kriging, and Empirical Bayesian) and developed a performance index. In order to interpolate SPM data from the summer season 2010/2011 at PC, the best performance was obtained with Empirical Bayesian Kriging (standard mean = −0.001 and root mean square standardized = 0.995). It showed an excellent performance (performance index = 0.004), improving both evaluation parameters when radio and neighborhood were configured. About 69% of the models showed improved standard means when configured compared to the default settings following a here proposed guideline
Fil: Neder, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
Fil: Sahade, Ricardo Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
Fil: Abele, Doris. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; Alemania
Fil: Pesch, Roland. Jade University of Applied Sciences; Alemania
Fil: Jerosch, Kerstin. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; Alemania
Materia
GEOSTATISTICAL INTERPOLATION
BAYESIAN
GLACIAL RUN-OFF
SEDIMENT PLUME
NEIGHBORHOOD ANALYSIS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/142386
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/142386
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic PeninsulaNeder, CamilaSahade, Ricardo JoseAbele, DorisPesch, RolandJerosch, KerstinGEOSTATISTICAL INTERPOLATIONBAYESIANGLACIAL RUN-OFFSEDIMENT PLUMENEIGHBORHOOD ANALYSIShttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The glacier retreat observed during the last decades at Potter Cove (PC) causes an increasing amount of suspended particulate matter (SPM) in the water column, which has a high impact on sessile filter feeder? species at PC located at the West Antarctic Peninsula. SPM presents a highly-fluctuating dynamic pattern on a daily, monthly, seasonal, and interannual basis. Geostatistical interpolation techniques are widely used by default to generate reliable spatial information and thereby to improve the ecological understanding of environmental variables, which is often fundamental for guiding decision-makers and scientists. In this study, we compared the results of default and configured settings of three geostatistical algorithms (Simple Kriging, Ordinary Kriging, and Empirical Bayesian) and developed a performance index. In order to interpolate SPM data from the summer season 2010/2011 at PC, the best performance was obtained with Empirical Bayesian Kriging (standard mean = −0.001 and root mean square standardized = 0.995). It showed an excellent performance (performance index = 0.004), improving both evaluation parameters when radio and neighborhood were configured. About 69% of the models showed improved standard means when configured compared to the default settings following a here proposed guidelineFil: Neder, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; ArgentinaFil: Sahade, Ricardo Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; ArgentinaFil: Abele, Doris. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; AlemaniaFil: Pesch, Roland. Jade University of Applied Sciences; AlemaniaFil: Jerosch, Kerstin. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; AlemaniaMDPI2020-12-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/142386Neder, Camila; Sahade, Ricardo Jose; Abele, Doris; Pesch, Roland; Jerosch, Kerstin; Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic Peninsula; MDPI; Fluids; 5; 4; 8-12-2020; 1-222311-5521CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2311-5521/5/4/235info:eu-repo/semantics/altIdentifier/doi/10.3390/fluids5040235info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:24:21Zoai:ri.conicet.gov.ar:11336/142386instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:24:22.013CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic Peninsula
title Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic Peninsula
spellingShingle Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic Peninsula
Neder, Camila
GEOSTATISTICAL INTERPOLATION
BAYESIAN
GLACIAL RUN-OFF
SEDIMENT PLUME
NEIGHBORHOOD ANALYSIS
title_short Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic Peninsula
title_full Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic Peninsula
title_fullStr Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic Peninsula
title_full_unstemmed Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic Peninsula
title_sort Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic Peninsula
dc.creator.none.fl_str_mv Neder, Camila
Sahade, Ricardo Jose
Abele, Doris
Pesch, Roland
Jerosch, Kerstin
author Neder, Camila
author_facet Neder, Camila
Sahade, Ricardo Jose
Abele, Doris
Pesch, Roland
Jerosch, Kerstin
author_role author
author2 Sahade, Ricardo Jose
Abele, Doris
Pesch, Roland
Jerosch, Kerstin
author2_role author
author
author
author
dc.subject.none.fl_str_mv GEOSTATISTICAL INTERPOLATION
BAYESIAN
GLACIAL RUN-OFF
SEDIMENT PLUME
NEIGHBORHOOD ANALYSIS
topic GEOSTATISTICAL INTERPOLATION
BAYESIAN
GLACIAL RUN-OFF
SEDIMENT PLUME
NEIGHBORHOOD ANALYSIS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The glacier retreat observed during the last decades at Potter Cove (PC) causes an increasing amount of suspended particulate matter (SPM) in the water column, which has a high impact on sessile filter feeder? species at PC located at the West Antarctic Peninsula. SPM presents a highly-fluctuating dynamic pattern on a daily, monthly, seasonal, and interannual basis. Geostatistical interpolation techniques are widely used by default to generate reliable spatial information and thereby to improve the ecological understanding of environmental variables, which is often fundamental for guiding decision-makers and scientists. In this study, we compared the results of default and configured settings of three geostatistical algorithms (Simple Kriging, Ordinary Kriging, and Empirical Bayesian) and developed a performance index. In order to interpolate SPM data from the summer season 2010/2011 at PC, the best performance was obtained with Empirical Bayesian Kriging (standard mean = −0.001 and root mean square standardized = 0.995). It showed an excellent performance (performance index = 0.004), improving both evaluation parameters when radio and neighborhood were configured. About 69% of the models showed improved standard means when configured compared to the default settings following a here proposed guideline
Fil: Neder, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
Fil: Sahade, Ricardo Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina
Fil: Abele, Doris. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; Alemania
Fil: Pesch, Roland. Jade University of Applied Sciences; Alemania
Fil: Jerosch, Kerstin. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; Alemania
description The glacier retreat observed during the last decades at Potter Cove (PC) causes an increasing amount of suspended particulate matter (SPM) in the water column, which has a high impact on sessile filter feeder? species at PC located at the West Antarctic Peninsula. SPM presents a highly-fluctuating dynamic pattern on a daily, monthly, seasonal, and interannual basis. Geostatistical interpolation techniques are widely used by default to generate reliable spatial information and thereby to improve the ecological understanding of environmental variables, which is often fundamental for guiding decision-makers and scientists. In this study, we compared the results of default and configured settings of three geostatistical algorithms (Simple Kriging, Ordinary Kriging, and Empirical Bayesian) and developed a performance index. In order to interpolate SPM data from the summer season 2010/2011 at PC, the best performance was obtained with Empirical Bayesian Kriging (standard mean = −0.001 and root mean square standardized = 0.995). It showed an excellent performance (performance index = 0.004), improving both evaluation parameters when radio and neighborhood were configured. About 69% of the models showed improved standard means when configured compared to the default settings following a here proposed guideline
publishDate 2020
dc.date.none.fl_str_mv 2020-12-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/142386
Neder, Camila; Sahade, Ricardo Jose; Abele, Doris; Pesch, Roland; Jerosch, Kerstin; Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic Peninsula; MDPI; Fluids; 5; 4; 8-12-2020; 1-22
2311-5521
CONICET Digital
CONICET
url http://hdl.handle.net/11336/142386
identifier_str_mv Neder, Camila; Sahade, Ricardo Jose; Abele, Doris; Pesch, Roland; Jerosch, Kerstin; Default versus configured-geostatistical modeling of suspended particulate matter in Potter Cove, West Antarctic Peninsula; MDPI; Fluids; 5; 4; 8-12-2020; 1-22
2311-5521
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2311-5521/5/4/235
info:eu-repo/semantics/altIdentifier/doi/10.3390/fluids5040235
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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