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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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The Quality of Rocky Bottoms index (CFR): A validated method for the assessment of macroalgae according to the European Water Framework Directive Guinda, X.; Juanes, J.A.; Puente, A. (2014). The Quality of Rocky Bottoms index (CFR): A validated method for the assessment of macroalgae according to the European Water Framework Directive. Mar. Environ. Res. 102: 3-10. https://dx.doi.org/10.1016/j.marenvres.2014.06.002 In: Marine Environmental Research. Applied Science Publishers: Barking. ISSN 0141-1136; e-ISSN 1879-0291, meer Ook verschenen in: Kennedy, R.; Allcock, L.; Firth, L.; Power, A.M. (Ed.) (2014). Managing biodiversity in a changing ocean: Proceedings of the 48th European Marine Biology Symposium (EMBS), Galway, Ireland, 19-23 August 2013. European Marine Biology Symposia, 48. Marine Environmental Research, 102(Suppl.). 130 pp., meer

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Beschikbaar in	Auteurs
VLIZ: Non-open access 266344 [ aanvragen ]

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Trefwoorden

Algae Marien/Kust

Author keywords

Algae; Monitoring; Anthropogenic pressures; Coastal zone; CFR index; Water Framework Directive; Intercalibration

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Auteurs		Top
Guinda, X. Juanes, J.A. Puente, A.

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Abstract

The Quality of Rocky Bottoms index (CFR by its Spanish acronym) is a multimetric method used for the assessment of macroalgae communities in accordance to the European Water Framework Directive. In order to improve the precision and accuracy of the assessments, the index was adjusted using a continuous scoring system. The index was tested at 184 intertidal and 57 subtidal stations located in the Atlantic coasts of Spain, Portugal and France. The anthropogenic pressure level of the stations was estimated according to a semiquantitative scale based on the type of discharge, distance to the contaminant source and its magnitude. 70.5% of the stations were correctly assigned to their expected quality and only 5.8% were critically misclassified. The linear regression and weighted kappa analyses between the pressure levels and the CFR results showed highly significant correlations and very good agreement levels both at intertidal and subtidal areas.

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