Assessing environmental health using ecological indices for soft bottom in sewage-affected rocky shores: The case of the largest seaside resort of SW Atlantic

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Efficient ecological indices can reflect the differences between impacted and nonimpacted sites, leading to significant variations at the contamination spatial scale. Here, we evaluated the spatial-temporal variability of 3 ecological indices (AMBI, M-AMBI, and BENTIX) in response to the distinct le...

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Autores principales:	Garaffo, G.V., Jaubet, M.L., Becherucci, M.E., Elías, R.
Formato:	INPR
Materias:	AMBI BENTIX M-AMBI Urban effluents sewage animal Atlantic Ocean ecology ecosystem environmental health environmental monitoring invertebrate Animals Ecology Ecosystem Environmental Health Environmental Monitoring Invertebrates Sewage
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_0025326X_v_n_p_Garaffo
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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spelling	todo:paper_0025326X_v_n_p_Garaffo2023-10-03T14:36:04Z Assessing environmental health using ecological indices for soft bottom in sewage-affected rocky shores: The case of the largest seaside resort of SW Atlantic Garaffo, G.V. Jaubet, M.L. Becherucci, M.E. Elías, R. AMBI BENTIX M-AMBI Urban effluents sewage animal Atlantic Ocean ecology ecosystem environmental health environmental monitoring invertebrate sewage Animals Atlantic Ocean Ecology Ecosystem Environmental Health Environmental Monitoring Invertebrates Sewage Efficient ecological indices can reflect the differences between impacted and nonimpacted sites, leading to significant variations at the contamination spatial scale. Here, we evaluated the spatial-temporal variability of 3 ecological indices (AMBI, M-AMBI, and BENTIX) in response to the distinct levels of sewage contamination. The indices were evaluated in two different ways: including . Brachidontes rodriguezii (IBR) and excluding . B. . rodriguezii (EBR). The fact that mussel beds create a secondary infaunal habitat allows us to test these indices for soft bottoms in areas with rocky bottoms. The effectiveness and the level of agreement of these indices were increased when they were calculated with EBR. BENTIX and M-AMBI produced under- and overestimations of the ecological status of the studied sites. AMBI (EBR) seems to be better suited for environmental quality assessment in the study area. This index reduces the processing time of samples; thus, the AMBI (EBR) index could be used as a robust management tool for monitoring programs in areas with hard substrate. © 2016 Elsevier Ltd. INPR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_0025326X_v_n_p_Garaffo
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	AMBI BENTIX M-AMBI Urban effluents sewage animal Atlantic Ocean ecology ecosystem environmental health environmental monitoring invertebrate sewage Animals Atlantic Ocean Ecology Ecosystem Environmental Health Environmental Monitoring Invertebrates Sewage
spellingShingle	AMBI BENTIX M-AMBI Urban effluents sewage animal Atlantic Ocean ecology ecosystem environmental health environmental monitoring invertebrate sewage Animals Atlantic Ocean Ecology Ecosystem Environmental Health Environmental Monitoring Invertebrates Sewage Garaffo, G.V. Jaubet, M.L. Becherucci, M.E. Elías, R. Assessing environmental health using ecological indices for soft bottom in sewage-affected rocky shores: The case of the largest seaside resort of SW Atlantic
topic_facet	AMBI BENTIX M-AMBI Urban effluents sewage animal Atlantic Ocean ecology ecosystem environmental health environmental monitoring invertebrate sewage Animals Atlantic Ocean Ecology Ecosystem Environmental Health Environmental Monitoring Invertebrates Sewage
description	Efficient ecological indices can reflect the differences between impacted and nonimpacted sites, leading to significant variations at the contamination spatial scale. Here, we evaluated the spatial-temporal variability of 3 ecological indices (AMBI, M-AMBI, and BENTIX) in response to the distinct levels of sewage contamination. The indices were evaluated in two different ways: including . Brachidontes rodriguezii (IBR) and excluding . B. . rodriguezii (EBR). The fact that mussel beds create a secondary infaunal habitat allows us to test these indices for soft bottoms in areas with rocky bottoms. The effectiveness and the level of agreement of these indices were increased when they were calculated with EBR. BENTIX and M-AMBI produced under- and overestimations of the ecological status of the studied sites. AMBI (EBR) seems to be better suited for environmental quality assessment in the study area. This index reduces the processing time of samples; thus, the AMBI (EBR) index could be used as a robust management tool for monitoring programs in areas with hard substrate. © 2016 Elsevier Ltd.
format	INPR
author	Garaffo, G.V. Jaubet, M.L. Becherucci, M.E. Elías, R.
author_facet	Garaffo, G.V. Jaubet, M.L. Becherucci, M.E. Elías, R.
author_sort	Garaffo, G.V.
title	Assessing environmental health using ecological indices for soft bottom in sewage-affected rocky shores: The case of the largest seaside resort of SW Atlantic
title_short	Assessing environmental health using ecological indices for soft bottom in sewage-affected rocky shores: The case of the largest seaside resort of SW Atlantic
title_full	Assessing environmental health using ecological indices for soft bottom in sewage-affected rocky shores: The case of the largest seaside resort of SW Atlantic
title_fullStr	Assessing environmental health using ecological indices for soft bottom in sewage-affected rocky shores: The case of the largest seaside resort of SW Atlantic
title_full_unstemmed	Assessing environmental health using ecological indices for soft bottom in sewage-affected rocky shores: The case of the largest seaside resort of SW Atlantic
title_sort	assessing environmental health using ecological indices for soft bottom in sewage-affected rocky shores: the case of the largest seaside resort of sw atlantic
url	http://hdl.handle.net/20.500.12110/paper_0025326X_v_n_p_Garaffo
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Assessing environmental health using ecological indices for soft bottom in sewage-affected rocky shores: The case of the largest seaside resort of SW Atlantic

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