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Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.

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one publication added to basket [114307]

A marine biotic index to establish the ecological quality of soft-bottom benthos within European estuarine and coastal environments Borja, A.; Franco, J.; Pérez, V. (2000). A marine biotic index to establish the ecological quality of soft-bottom benthos within European estuarine and coastal environments. Mar. Pollut. Bull. 40(12): 1100-1114. http://dx.doi.org/10.1016/S0025-326X(00)00061-8 In: Marine Pollution Bulletin. Macmillan: London. ISSN 0025-326X; e-ISSN 1879-3363, meer

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Beschikbaar in	Auteurs
VLIZ: Non-open access 125633 [ aanvragen ]

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Trefwoorden

Aquatic communities > Benthos Biological monitoring Characteristics > Diversity Ecology Environments > Aquatic environment > Benthic environment Monitoring > Environmental monitoring Europa [Marine Regions] Marien/Kust

Author keywords

biotic index; ecological quality; diversity; benthos; soft-bottom;European coastal environments

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Auteurs		Top
Borja, A., meer Franco, J. Pérez, V.

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Abstract

In this paper, a marine Biotic Index (BI) for soft-bottom benthos of European estuarine and coastal environments is proposed. This is derived from the proportions of individual abundance in five ecological groups, which are related to the degree of sensitivity/tolerance to an environmental stress gradient. The main difference with previously published indices is the use of a simple formula that produces a continuous Biotic Coefficient (BC) - which makes it more suitable for statistical analysis, in opposition with previous discreet biotic indices - not affected by subjectivity. Relationships between this coefficient and a complementary BI with several environmental variables are discussed. Finally, a validation of the proposed index is made with data from systems affected by recent human disturbances, showing that different anthropogenic changes in the environment can be detected through the use of this BI.

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