Rosenberg R, Blomqvist M, Nilsson HC, Cederwall H, Dimming A.. Marine quality assessment by use of benthic species-abundance distributions: a proposed new protocol within the European Union Water Framework Directive. Mar Pollut Bull 49: 728-739

Stockholm University, Tukholma, Stockholm, Sweden
Marine Pollution Bulletin (Impact Factor: 2.99). 12/2004; 49(9-10):728-39. DOI: 10.1016/j.marpolbul.2004.05.013
Source: PubMed


The aim of this study is to develop a new method for classification of marine benthic quality according to the European Union Water Framework Directive. Tolerance values to environmental disturbance were determined in an objective analysis for benthic species along the Swedish west coast by using 4676 samples from 257 stations. Based on a combination of the species tolerance values, abundance and diversity, a benthic quality index (BQI) was calculated for the assessment of environmental status at a particular station. The qualification of BQI was evaluated in relation to known spatial and temporal gradients of disturbance.

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Available from: Mats Blomqvist, Oct 03, 2015
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    • "The BQI is one of the most widely used multimetric indices for macrofauna status assessment (Rosenberg et al., 2004; Fleischer and Zettler, 2009; Leonardsson et al., 2009). Although designed for application in marine areas, it is also considered to be suitable for different environments provided that the assigned species' tolerance/sensitivity values are based on individual data sets and "
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    ABSTRACT: The European Marine Strategy Framework Directive requires EU Member States to prepare national strategies and manage their seas to achieve good environmental status (GES) by 2020. There are many multimetric indices proposed as indicators of the ecological quality of the benthic environment. Their functionality and utility are extensively discussed in the literature. Different frameworks are suggested for comparative assessments of indicators with no agreement on a standardized way of selecting the most appropriate one. In the current study, we apply signal detection theory (SDT) to evaluate the specificity and sensitivity of the Benthic Quality Index (BQI), its response to the eutrophication pressure, and its performance under the effects of estuarine water outflow. The BQI showed acceptable response to total nitrogen, total phosphorus and chlorophyll-a concentrations in the study area. Based on the results, we suggest using SDT for setting GES thresholds in a standardized way. This aids a robust assessment of the environmental status and supports differentiation between the quality classes.
    Ecological Indicators 01/2016; 60:420-427. DOI:10.1016/j.ecolind.2015.07.018 · 3.44 Impact Factor
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    • "For certain pressures a signal in LHT of a species may be observed before the abundance changes. To support the WFD, there is an extensive literature in the interpretation of the good status (Rosenberg et al., 2004; Muxika et al., 2007; Borja and Dauer, 2008; Borja et al., 2009b), including intercalibration in coastal waters (Borja et al., 2007, 2009a; Pinto et al., 2009). Some of the indicators (AMBI, M-AMBI) have been widely used (e.g. "
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    • "Shannon–Weiner and Pielou's). The following biotic indices were calculated; AZTI Marine Biotic Index (AMBI, Borja et al., 2000), Multivariate-AMBI (M-AMBI, Muxika et al., 2007) and Benthic Quality Index (BQI, Rosenberg et al., 2004). These indices formulas all utilize species-specific enrichment tolerance values obtained from regionally established classifications where available (Keeley et al., 2012a,2012b) and the AMBI database ( "
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    DESCRIPTION: Assessing the environmental impact of salmon farms on benthic systems is traditionally undertaken using biotic indices derived from microscopic analyses of macrobenthic infaunal (MI) communities. In this study, we tested the applicability of using foraminiferal-specific high-throughput sequencing (HTS) metabarcoding for monitoring these habitats. Sediment samples and physico-chemical data were collected along an enrichment gradient radiating out fromthree Chinook salmon (Oncorhynchus tshawytscha) farmsin NewZealand.HTS of environmental DNA and RNA (eDNA/eRNA) resulted in 1,875,300 sequences that clustered into 349 Operational Taxonomic Units. Strong correlations were observed among various biotic indices calculated from MI data and normalized fourth-root transformed HTS data. Correlations were stronger using eRNA compared to eDNA data. Quantile regression spline analyses identified 12 key foraminiferal taxa that have potential to be used as bioindicator species. This study demonstrates the huge potential for using this method for biomonitoring of fish-farming and other marine industrial activities.
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