Benthic biotope index for classifying habitats in the sado estuary: Portugal

Caeiro, Sandra; Costa, Maria Helena; Goovaerts, Pierre; Martins, Flávio

doi:10.1016/j.marenvres.2005.04.002

Cited by 27 publications

(13 citation statements)

References 50 publications

(68 reference statements)

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“…The potential of adverse effects on the biota is classified by SQG-Q-in this case, either metals (SQG-QM) or pesticides (SQG-QP). Field station code correspondence between this study and the one performed by Caeiro et al [11] is R ϭ S116, S1 ϭ S40, S2 ϭ S43, S3 ϭ S102, and S4 ϭ S157.…”

Section: Location and Brief Characterization Of Field Stationssupporting

confidence: 69%

“…The locations of field stations in the Sado River estuary are presented in Figure 1. The characteristics of these field stations were described exhaustively by Caeiro et al [11] with the use of samples collected during summer 2003. Here (Table 1), we present a summary of this characterization, which is based on sediment organic load, hydrodynamics, benthic biotope index (BI bio ) [12], sediment quality guideline quotient (SQG‐Q) [13] for metals and pesticides, amphipod ( Gammarus locusta ) mortality tests with whole sediments [14], and sea urchin ( Paracentrotus lividus ) embryo abnormality bioassay with sediments [15].…”

Section: Methodsmentioning

confidence: 99%

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Toxicity ranking of estuarine sediments on the basis of Sparus aurata biomarkers

Cunha

Neuparth

Caeiro

et al. 2007

Enviro Toxic and Chemistry

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Sparus aurata biomarkers were used to rank sediments from the Sado River estuary (Portugal) according to their toxicity. Initially, the activities of liver ethoxyresorufin-O-deethylase, liver and gill glutathione S-transferases, muscle lactate dehydrogenase, and brain acetylcholinesterase were tested in a laboratory bioassay with the reference compound benzo[a]pyrene. Enzymatic activities were determined in different tissues of fish exposed for 48, 96, or 240 h to three concentrations of benzo[a]pyrene (25, 50, and 100 microg/L). Induction of liver ethoxyresorufin-O-deethylase was observed at all the exposure periods and concentrations, suggesting a continuous response of this system to toxicant exposure. Induction of liver glutathione S-transferases activity was only observed after 240 h of exposure, whereas gill glutathione S-transferases activity was significantly inhibited at all the exposure periods, suggesting a direct or indirect effect of the toxicant on these enzymes. Inhibition of lactate dehydrogenases activity was only observed after 96 h of exposure to 25 microg/L of benzo[a]pyrene. No significant effects were observed on acetylcholinesterase activity, suggesting that cholinergic function of S. aurata is not affected by benzo[a]pyrene. In a second phase, fish were exposed for 240 h to sediments collected at five sites of the Sado River estuary, and the same biomarkers were analyzed. For all the enzymes assayed, significant differences among sites were found. In this study, the battery of biomarkers used allowed to discrimination among sites with different types of contamination, levels of contamination, or both, after multivariate data analysis. Discrimination of sites was similar to the ranking provided by a more complex and parallel study (including chemical analysis of sediments, macrobenthic community analysis, amphipod mortality toxicity tests, and sea urchin abnormality embryo assays), suggesting its suitability to evaluate the toxicity of estuarine sediments.

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Section: Location and Brief Characterization Of Field Stationssupporting

confidence: 69%

Section: Methodsmentioning

confidence: 99%

Toxicity ranking of estuarine sediments on the basis of Sparus aurata biomarkers

Cunha

Neuparth

Caeiro

et al. 2007

Enviro Toxic and Chemistry

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“…The second approach has been widely used to develop macrobenthos distribution maps linking habitat suitability models, based on biological data from points in different datasets and accompanying physical data (Shin, 1982;Guisan & Zimmermann, 2000;Vanaverbeke et al, 2002;Caeiro et al, 2005;Degraer, 2008). Discriminant function analysis (DFA) is the validated statistical approach applied in these cases where the response variable is a categorical entity.…”

Section: Discussionmentioning

confidence: 99%

High resolution mapping of sediment organic matter from acoustic reflectance data

et al. 2011

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Spatial mapping of the marine environment is challenging when the properties concerned are difﬁcult to measure except by shore-based analysis of discrete samples of material, usually from sparsely distributed sites. This is the case for many seabed sediment properties. We developed an indirect approach to mapping the organic content of coastal sediments from hydro-acoustic reﬂectance data. The basis was that both organic matter and acoustic reﬂectance are related to sediment type and grain size composition. Hence there is a collateral relationship between organic matter content and reﬂectance properties which can be exploited to enable high resolution mapping. We surveyed an area of seabed off the east coast of Scotland using a vessel mounted single beam echosounder with RoxAnn signal processing. Organic carbon, nitrogen and phytoplankton pigment contents were then measured in material from grab and core samples collected at intervals over a year. Relationships between the organic components and hydroacoustic characteristics were derived by general additive models, and used to construct high resolution maps from the acoustic survey data. Our method is an advance on traditional interpolation techniques sparse spatial data, and represents a generic approach that could be applied to other properties

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“…The values of the index in each management area were calculated using the median values of the locations belonging to each management area (Caeiro et al 2005b). The benthos communities were classified in: 1 to 1.4-Marine; 1.5 to 2.4-Transition; 2.5 to 3.4-Estuarine; 3.5 to 4.4-Estuarine enriched; 4.5 to 5-Estuarine impoverished.…”

Section: Sediment Benthos Structurementioning

confidence: 99%

Ecological risk assessment of sediment management areas: application to Sado Estuary, Portugal

et al. 2009

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The purpose of this work was to integrate different methodologies to assess the potential ecological risk of estuarine sedimentary management areas, using the Sado Estuary in Portugal as case study. To evaluate the environmental risk of sediment contamination, an integrative and innovative approach was used involving assessment of sediment chemistry, sediment toxicity, benthic community structure, human driving forces and pressures and management areas organic load levels. The basis for decisionmaking for overall assessment was a statistical multivariate analysis appended into a score matrix tables, using a best expert judgment. The integrated approach allowed to identify from the 19 management areas analyzed, three with no risk but other three with high risk to cause adverse effects in the biota, related with the contaminants analyzed. The methodologies used showed to be effective as a support for decision making leading to future estuarine management recommendations.

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Benthic biotope index for classifying habitats in the sado estuary: Portugal

Cited by 27 publications

References 50 publications

Toxicity ranking of estuarine sediments on the basis of Sparus aurata biomarkers

Toxicity ranking of estuarine sediments on the basis of Sparus aurata biomarkers

High resolution mapping of sediment organic matter from acoustic reflectance data

Ecological risk assessment of sediment management areas: application to Sado Estuary, Portugal

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