Managing complexity of marine ecosystems: From the monitoring breakdown structure (MBS) to the baseline assessment. Trace metal concentrations in biomonitors of the Beagle Channel,...
- Autores
- Conti, Marcelo Enrique; Tudino, Mabel Beatriz; Grazia Finoia, María; Simone, Cristina; Stripeikis, Jorge
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In this study we propose a conceptual framework, i.e. the Monitoring Breakdown Structure (MBS) as a tool forthe management of marine ecosystems. The conceptual framework thinks through the complexity of marineecosystems keeping into account the variety (space) and variability (time) dimensions. Consistently with theMBS we have built the control charts of trace metal concentrations of two selected biomonitors in the BeagleChannel (south Patagonia) (case study).Thus, we have tested the aptitude of two species of mollusks as biomonitors of heavy metal (HMs) pollution.The selected species were the limpet Nacella (P) magellanica and the bivalve Mytilus chilensis. Seven hundredeighty-five samples were collected along 170 km of the coastal area of the Beagle Channel (BC), (Tierra delFuego, Argentina) in seven selected georeferenced locations and four sampling campaigns (2005, 2007, 2011,2012). Cd, Cr, Cu, Ni, Pb and Zn determinations in seawater and mollusks by atomic absorption spectrometry(AAS) were carried out. The calculation of the respective concentration factors (CFs), i.e. their capacity as strongbioaccumulators, was also conducted. This is of relevance because it aims to use these data as a baseline referencefor other geographical areas. Second, we have compared metal bioaccumulation differences among sitesand the contamination trend by building, for the first time, the control charts of the baseline metal concentrationsin the biomonitors. For these purposes, we applied probabilistic Johnson's method.Furthermore, the control charts (based on four years baseline data) allowed us to test the contamination trendby plotting data from 2012 vs 2011. Our results confirm N. magellanica as an extremely strong accumulator ofCd, and M chilensis strong bioaccumulator of Cd and Zn. Zn was the most abundant metal followed by Cu.Overall, regarding the contamination trend, based on thousands of determinations we observed that the six meanmetal levels were quite constant over time. Moreover, metal distribution among sites turned out to be notunivocal (no one site is more contaminated than the other sites). Thus, the expected hypothesis of UshuaiaHarbour as being the most contaminated site should be reconsidered. This reinforces the hypothesis of our dataas baseline data (except for cadmium), that should be considered in management decisions about future environmentalmonitoring programs, i.e. preventing/managing marine accidents.
Fil: Conti, Marcelo Enrique. Università di Roma; Italia
Fil: Tudino, Mabel Beatriz. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Inorgánica, Analítica y Química Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; Argentina
Fil: Grazia Finoia, María. Università di Roma; Italia
Fil: Simone, Cristina. Università di Roma; Italia
Fil: Stripeikis, Jorge. Instituto Tecnológico de Buenos Aires; Argentina - Materia
-
MARINE ECOSYSTEMS
BASELINE ASSESSMENT
TRACE METALS
BEAGLE CHANNEL - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/121696
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Managing complexity of marine ecosystems: From the monitoring breakdown structure (MBS) to the baseline assessment. Trace metal concentrations in biomonitors of the Beagle Channel, Patagonia (2005–2012)Conti, Marcelo EnriqueTudino, Mabel BeatrizGrazia Finoia, MaríaSimone, CristinaStripeikis, JorgeMARINE ECOSYSTEMSBASELINE ASSESSMENTTRACE METALSBEAGLE CHANNELhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1In this study we propose a conceptual framework, i.e. the Monitoring Breakdown Structure (MBS) as a tool forthe management of marine ecosystems. The conceptual framework thinks through the complexity of marineecosystems keeping into account the variety (space) and variability (time) dimensions. Consistently with theMBS we have built the control charts of trace metal concentrations of two selected biomonitors in the BeagleChannel (south Patagonia) (case study).Thus, we have tested the aptitude of two species of mollusks as biomonitors of heavy metal (HMs) pollution.The selected species were the limpet Nacella (P) magellanica and the bivalve Mytilus chilensis. Seven hundredeighty-five samples were collected along 170 km of the coastal area of the Beagle Channel (BC), (Tierra delFuego, Argentina) in seven selected georeferenced locations and four sampling campaigns (2005, 2007, 2011,2012). Cd, Cr, Cu, Ni, Pb and Zn determinations in seawater and mollusks by atomic absorption spectrometry(AAS) were carried out. The calculation of the respective concentration factors (CFs), i.e. their capacity as strongbioaccumulators, was also conducted. This is of relevance because it aims to use these data as a baseline referencefor other geographical areas. Second, we have compared metal bioaccumulation differences among sitesand the contamination trend by building, for the first time, the control charts of the baseline metal concentrationsin the biomonitors. For these purposes, we applied probabilistic Johnson's method.Furthermore, the control charts (based on four years baseline data) allowed us to test the contamination trendby plotting data from 2012 vs 2011. Our results confirm N. magellanica as an extremely strong accumulator ofCd, and M chilensis strong bioaccumulator of Cd and Zn. Zn was the most abundant metal followed by Cu.Overall, regarding the contamination trend, based on thousands of determinations we observed that the six meanmetal levels were quite constant over time. Moreover, metal distribution among sites turned out to be notunivocal (no one site is more contaminated than the other sites). Thus, the expected hypothesis of UshuaiaHarbour as being the most contaminated site should be reconsidered. This reinforces the hypothesis of our dataas baseline data (except for cadmium), that should be considered in management decisions about future environmentalmonitoring programs, i.e. preventing/managing marine accidents.Fil: Conti, Marcelo Enrique. Università di Roma; ItaliaFil: Tudino, Mabel Beatriz. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Inorgánica, Analítica y Química Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; ArgentinaFil: Grazia Finoia, María. Università di Roma; ItaliaFil: Simone, Cristina. Università di Roma; ItaliaFil: Stripeikis, Jorge. Instituto Tecnológico de Buenos Aires; ArgentinaElsevier Science2019-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/121696Conti, Marcelo Enrique; Tudino, Mabel Beatriz; Grazia Finoia, María; Simone, Cristina; Stripeikis, Jorge; Managing complexity of marine ecosystems: From the monitoring breakdown structure (MBS) to the baseline assessment. Trace metal concentrations in biomonitors of the Beagle Channel, Patagonia (2005–2012); Elsevier Science; Ecological Indicators; 104; 9-2019; 296-3051470-160XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1470160X19303474info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2019.05.013info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:32:09Zoai:ri.conicet.gov.ar:11336/121696instacron: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 10:32:09.791CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Managing complexity of marine ecosystems: From the monitoring breakdown structure (MBS) to the baseline assessment. Trace metal concentrations in biomonitors of the Beagle Channel, Patagonia (2005–2012) |
title |
Managing complexity of marine ecosystems: From the monitoring breakdown structure (MBS) to the baseline assessment. Trace metal concentrations in biomonitors of the Beagle Channel, Patagonia (2005–2012) |
spellingShingle |
Managing complexity of marine ecosystems: From the monitoring breakdown structure (MBS) to the baseline assessment. Trace metal concentrations in biomonitors of the Beagle Channel, Patagonia (2005–2012) Conti, Marcelo Enrique MARINE ECOSYSTEMS BASELINE ASSESSMENT TRACE METALS BEAGLE CHANNEL |
title_short |
Managing complexity of marine ecosystems: From the monitoring breakdown structure (MBS) to the baseline assessment. Trace metal concentrations in biomonitors of the Beagle Channel, Patagonia (2005–2012) |
title_full |
Managing complexity of marine ecosystems: From the monitoring breakdown structure (MBS) to the baseline assessment. Trace metal concentrations in biomonitors of the Beagle Channel, Patagonia (2005–2012) |
title_fullStr |
Managing complexity of marine ecosystems: From the monitoring breakdown structure (MBS) to the baseline assessment. Trace metal concentrations in biomonitors of the Beagle Channel, Patagonia (2005–2012) |
title_full_unstemmed |
Managing complexity of marine ecosystems: From the monitoring breakdown structure (MBS) to the baseline assessment. Trace metal concentrations in biomonitors of the Beagle Channel, Patagonia (2005–2012) |
title_sort |
Managing complexity of marine ecosystems: From the monitoring breakdown structure (MBS) to the baseline assessment. Trace metal concentrations in biomonitors of the Beagle Channel, Patagonia (2005–2012) |
dc.creator.none.fl_str_mv |
Conti, Marcelo Enrique Tudino, Mabel Beatriz Grazia Finoia, María Simone, Cristina Stripeikis, Jorge |
author |
Conti, Marcelo Enrique |
author_facet |
Conti, Marcelo Enrique Tudino, Mabel Beatriz Grazia Finoia, María Simone, Cristina Stripeikis, Jorge |
author_role |
author |
author2 |
Tudino, Mabel Beatriz Grazia Finoia, María Simone, Cristina Stripeikis, Jorge |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
MARINE ECOSYSTEMS BASELINE ASSESSMENT TRACE METALS BEAGLE CHANNEL |
topic |
MARINE ECOSYSTEMS BASELINE ASSESSMENT TRACE METALS BEAGLE CHANNEL |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.4 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
In this study we propose a conceptual framework, i.e. the Monitoring Breakdown Structure (MBS) as a tool forthe management of marine ecosystems. The conceptual framework thinks through the complexity of marineecosystems keeping into account the variety (space) and variability (time) dimensions. Consistently with theMBS we have built the control charts of trace metal concentrations of two selected biomonitors in the BeagleChannel (south Patagonia) (case study).Thus, we have tested the aptitude of two species of mollusks as biomonitors of heavy metal (HMs) pollution.The selected species were the limpet Nacella (P) magellanica and the bivalve Mytilus chilensis. Seven hundredeighty-five samples were collected along 170 km of the coastal area of the Beagle Channel (BC), (Tierra delFuego, Argentina) in seven selected georeferenced locations and four sampling campaigns (2005, 2007, 2011,2012). Cd, Cr, Cu, Ni, Pb and Zn determinations in seawater and mollusks by atomic absorption spectrometry(AAS) were carried out. The calculation of the respective concentration factors (CFs), i.e. their capacity as strongbioaccumulators, was also conducted. This is of relevance because it aims to use these data as a baseline referencefor other geographical areas. Second, we have compared metal bioaccumulation differences among sitesand the contamination trend by building, for the first time, the control charts of the baseline metal concentrationsin the biomonitors. For these purposes, we applied probabilistic Johnson's method.Furthermore, the control charts (based on four years baseline data) allowed us to test the contamination trendby plotting data from 2012 vs 2011. Our results confirm N. magellanica as an extremely strong accumulator ofCd, and M chilensis strong bioaccumulator of Cd and Zn. Zn was the most abundant metal followed by Cu.Overall, regarding the contamination trend, based on thousands of determinations we observed that the six meanmetal levels were quite constant over time. Moreover, metal distribution among sites turned out to be notunivocal (no one site is more contaminated than the other sites). Thus, the expected hypothesis of UshuaiaHarbour as being the most contaminated site should be reconsidered. This reinforces the hypothesis of our dataas baseline data (except for cadmium), that should be considered in management decisions about future environmentalmonitoring programs, i.e. preventing/managing marine accidents. Fil: Conti, Marcelo Enrique. Università di Roma; Italia Fil: Tudino, Mabel Beatriz. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Inorgánica, Analítica y Química Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; Argentina Fil: Grazia Finoia, María. Università di Roma; Italia Fil: Simone, Cristina. Università di Roma; Italia Fil: Stripeikis, Jorge. Instituto Tecnológico de Buenos Aires; Argentina |
description |
In this study we propose a conceptual framework, i.e. the Monitoring Breakdown Structure (MBS) as a tool forthe management of marine ecosystems. The conceptual framework thinks through the complexity of marineecosystems keeping into account the variety (space) and variability (time) dimensions. Consistently with theMBS we have built the control charts of trace metal concentrations of two selected biomonitors in the BeagleChannel (south Patagonia) (case study).Thus, we have tested the aptitude of two species of mollusks as biomonitors of heavy metal (HMs) pollution.The selected species were the limpet Nacella (P) magellanica and the bivalve Mytilus chilensis. Seven hundredeighty-five samples were collected along 170 km of the coastal area of the Beagle Channel (BC), (Tierra delFuego, Argentina) in seven selected georeferenced locations and four sampling campaigns (2005, 2007, 2011,2012). Cd, Cr, Cu, Ni, Pb and Zn determinations in seawater and mollusks by atomic absorption spectrometry(AAS) were carried out. The calculation of the respective concentration factors (CFs), i.e. their capacity as strongbioaccumulators, was also conducted. This is of relevance because it aims to use these data as a baseline referencefor other geographical areas. Second, we have compared metal bioaccumulation differences among sitesand the contamination trend by building, for the first time, the control charts of the baseline metal concentrationsin the biomonitors. For these purposes, we applied probabilistic Johnson's method.Furthermore, the control charts (based on four years baseline data) allowed us to test the contamination trendby plotting data from 2012 vs 2011. Our results confirm N. magellanica as an extremely strong accumulator ofCd, and M chilensis strong bioaccumulator of Cd and Zn. Zn was the most abundant metal followed by Cu.Overall, regarding the contamination trend, based on thousands of determinations we observed that the six meanmetal levels were quite constant over time. Moreover, metal distribution among sites turned out to be notunivocal (no one site is more contaminated than the other sites). Thus, the expected hypothesis of UshuaiaHarbour as being the most contaminated site should be reconsidered. This reinforces the hypothesis of our dataas baseline data (except for cadmium), that should be considered in management decisions about future environmentalmonitoring programs, i.e. preventing/managing marine accidents. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09 |
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/11336/121696 Conti, Marcelo Enrique; Tudino, Mabel Beatriz; Grazia Finoia, María; Simone, Cristina; Stripeikis, Jorge; Managing complexity of marine ecosystems: From the monitoring breakdown structure (MBS) to the baseline assessment. Trace metal concentrations in biomonitors of the Beagle Channel, Patagonia (2005–2012); Elsevier Science; Ecological Indicators; 104; 9-2019; 296-305 1470-160X CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/121696 |
identifier_str_mv |
Conti, Marcelo Enrique; Tudino, Mabel Beatriz; Grazia Finoia, María; Simone, Cristina; Stripeikis, Jorge; Managing complexity of marine ecosystems: From the monitoring breakdown structure (MBS) to the baseline assessment. Trace metal concentrations in biomonitors of the Beagle Channel, Patagonia (2005–2012); Elsevier Science; Ecological Indicators; 104; 9-2019; 296-305 1470-160X 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.sciencedirect.com/science/article/abs/pii/S1470160X19303474 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2019.05.013 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science |
publisher.none.fl_str_mv |
Elsevier Science |
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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1844614334351671296 |
score |
13.070432 |