Assessing environmental health using ecological indices for soft bottom in sewage-affected rocky shores: The case of the largest seaside resort of SW Atlantic
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...
Guardado en:
| Publicado: |
2016
|
|---|---|
| Materias: | |
| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0025326X_v_n_p_Garaffo http://hdl.handle.net/20.500.12110/paper_0025326X_v_n_p_Garaffo |
| Aporte de: |
| id |
paper:paper_0025326X_v_n_p_Garaffo |
|---|---|
| record_format |
dspace |
| spelling |
paper:paper_0025326X_v_n_p_Garaffo2023-06-08T14:53:07Z Assessing environmental health using ecological indices for soft bottom in sewage-affected rocky shores: The case of the largest seaside resort of SW Atlantic 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. 2016 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0025326X_v_n_p_Garaffo 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 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. |
| 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 |
| publishDate |
2016 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0025326X_v_n_p_Garaffo http://hdl.handle.net/20.500.12110/paper_0025326X_v_n_p_Garaffo |
| _version_ |
1768544354176073728 |