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dc.contributor.authorSantibanez-Aguascalientes, Norma A.
dc.contributor.authorBorja, Angel
dc.contributor.authorGabriel Kuk-Dzul, J.
dc.contributor.authorMontero-Munoz, Jorge L.
dc.contributor.authorArdisson, Pedro-Luis
dc.date.accessioned2019-06-18T11:49:17Z-
dc.date.available2019-06-18T11:49:17Z-
dc.date.issued2018
dc.identifierISI:000444520600067
dc.identifier.citationECOLOGICAL INDICATORS, 2018, 91, 679-688
dc.identifier.issn1470-160X
dc.identifier.urihttp://dspace.azti.es/handle/24689/798-
dc.description.abstractBiological indices such as AZTI's Marine Biotic Index (AMBI) and multivariate AMBI (M-AMBI) have been used in monitoring programs worldwide to assess the benthic ecological status (ES) of transitional and coastal waters. However, their reliability is reduced under faunal impoverishment and defaunation, low abundance/number of taxa, and/or high percentage of taxa not assigned or mis-assigned to ecological group, which imply removing these data from the analysis. In order to avoid loss of robustness when these situations are met, here we propose an approach based on decision criteria that utilize these indices together with environmental and contaminants data. Our area of study is the southern Gulf of Mexico seafloor, where a survey was carried out during the rainy season across a sampling grid of 75 sites. To achieve this, we first distinguished homogeneous groups of sites and then defined states ('good', `fair', and `bad') from three sediment quality elements: benthic indices, environmental data by quartile values, and contaminant concentrations in the context of sediment quality guidelines. Overall, 69\% of sampling sites showed low abundance and defaunation, mainly at sites located on the continental shelf, where most of them ranged from `moderate' to `poor' ES, principally by `fair' environmental data and secondly, oil-related disturbance. Conversely, sites located near the mouths of rivers and coastal lagoons recorded the highest abundance and showed diverse sensitivity levels, ranging from `high' to `tad' ES. In conclusion, the use of this states-based approach allowed us to support and interpret the results of AMBI and M-AMBI, since their values were related to environmental and contaminants data. This approach may be useful in many contexts to avoid the loss of data when assessing the ES of the seafloor under defaunation or low abundance conditions.
dc.language.isoeng
dc.publisherELSEVIER SCIENCE BV
dc.subjectAMBI
dc.subjectM-AMBI
dc.subjectContaminants
dc.subjectDefaunation
dc.subjectEcological status
dc.subjectMacroinfauna
dc.subjectMARINE BIOTIC INDEX
dc.subjectOIL INDUSTRY
dc.subjectWATER
dc.subjectQUALITY
dc.subjectCOASTAL
dc.subjectPERFORMANCE
dc.subjectINDICATORS
dc.subjectSEDIMENTS
dc.subjectIMPACT
dc.subjectAMBI
dc.titleAssessing benthic ecological status under impoverished faunal situations: A case study from the southern Gulf of Mexico
dc.typeArticle
dc.identifier.journalECOLOGICAL INDICATORS
dc.format.page679-688
dc.format.volume91
dc.contributor.funderresearch fond of the Laboratory of Benthos
dc.contributor.funderCinvestav
dc.contributor.funderCONACYT (Mexico)
dc.contributor.funderFOMIX Yucatan [247043]
dc.identifier.e-issn1872-7034
dc.identifier.doi10.1016/j.ecolind.2018.04.048
Aparece en las tipos de publicación: Artículos científicos



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