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Performance comparison of two biotic indices measuring the ecological status of water bodies in the Southern Baltic and Gulf of Lions
Fleischer, D.; Grémare, A.; Labrune, C.; Rumohr, H.; Vanden Berghe, E.; Zettler, M.L. (2007). Performance comparison of two biotic indices measuring the ecological status of water bodies in the Southern Baltic and Gulf of Lions. Mar. Pollut. Bull. 54(10): 1598-1606. dx.doi.org/10.1016/j.marpolbul.2007.06.011
In: Marine Pollution Bulletin. Macmillan: London. ISSN 0025-326X; e-ISSN 1879-3363
Peer reviewed article  
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Author keywords
    Biotic indices; AMBI; BQI; sampling effort; benthic macrofauna; water framework directive; southern Baltic; Gulf of lions; Mediterranean
Auteurs  Top 
  • Fleischer, D.
  • Grémare, A.
  • Labrune, C.
  • Rumohr, H.
  • Vanden Berghe, E.
  • Zettler, M.L.
Abstract
    Two biotic indices, ATZI Marine Biotic Index (AMBI) and Benthic Quality Index (BQI) have been recently introduced within the EC Water Framework Directive to assess the quality of marine habitats: both are based on sensitivity/tolerance classification and quantitative information on the composition of soft-bottom macrofauna. Their performance, especially with regard to sampling effort was assessed based on two data sets collected in Southern Baltic and one from the Gulf of Lions Mediterranean. AMBI was not affected by sampling effort but BQI was. Two modifications were proposed for BQI (i.e., BQI) (1) the removal of the scaling term (i.e., BQIW), and (2) the replacement of the scaling term by different scaling term (i.e., BQIES). Both modified BQIs were largely independent of sampling effort. Variability was slightly lower for BQIW than for BQIES. BQI was highly correlated with BQIW and with BQIES both in the Southern Baltic and in the Gulf of Lions. However, the proportions of stations, which were not attributed the same ecological quality status (EcoQ) when using BQI and its two modified forms were always high. Differences in ecological classification were mostly due to the cales used to infer EcoQ. Based on this study we recommend to use BQIES in future studies because it apparently constitutes the best compromise in (1) being independent of sampling effort, (2) limiting the variability in computation in relation with sampling effort, (3) being correlated with BQI and corresponding EcoQ.
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