Assessing benthic ecological status under impoverished faunal situations: A case study from the southern Gulf of Mexico
Autor: | Jorge Montero-Muñoz, Ángel Borja, Norma A. Santibañez-Aguascalientes, J. Gabriel Kuk-Dzul, Pedro-Luis Ardisson |
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Rok vydání: | 2018 |
Předmět: |
0106 biological sciences
Wet season geography geography.geographical_feature_category Ecology Defaunation Continental shelf 010604 marine biology & hydrobiology General Decision Sciences Context (language use) 010501 environmental sciences 01 natural sciences Environmental data Abundance (ecology) Benthic zone Environmental science Ecology Evolution Behavior and Systematics 0105 earth and related environmental sciences Biotic index |
Zdroj: | Ecological Indicators. 91:679-688 |
ISSN: | 1470-160X |
Popis: | Biological 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 ‘bad’ 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. |
Databáze: | OpenAIRE |
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