Your browser doesn't support javascript.
loading
Using biological effects tools to define Good Environmental Status under the European Union Marine Strategy Framework Directive.
Lyons, B P; Thain, J E; Stentiford, G D; Hylland, K; Davies, I M; Vethaak, A D.
Afiliación
  • Lyons BP; Centre for Environment, Fisheries and Aquaculture Science, Weymouth Laboratory, Barrack Road, The Nothe, Weymouth, Dorset DT4 8UB, United Kingdom. brett.lyons@cefas.co.uk
Mar Pollut Bull ; 60(10): 1647-51, 2010 Oct.
Article en En | MEDLINE | ID: mdl-20609451
ABSTRACT
The use of biological effects tools offer enormous potential to meet the challenges outlined by the European Union Marine Strategy Framework Directive (MSFD) whereby Member States are required to develop a robust set of tools for defining 11 qualitative descriptors of Good Environmental Status (GES), such as demonstrating that "Concentrations of contaminants are at levels not giving rise to pollution effects" (GES Descriptor 8). This paper discusses the combined approach of monitoring chemical contaminant levels, along side biological effect measurements relating to the effect of pollutants, for undertaking assessments of GES across European marine regions. We outline the minimum standards that biological effects tools should meet if they are to be used for defining GES in relation to Descriptor 8 and describe the current international initiatives underway to develop assessment criteria for these biological effects techniques.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Ecosistema / Conservación de los Recursos Naturales / Unión Europea / Modelos Biológicos Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: Mar Pollut Bull Año: 2010 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Ecosistema / Conservación de los Recursos Naturales / Unión Europea / Modelos Biológicos Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: Mar Pollut Bull Año: 2010 Tipo del documento: Article País de afiliación: Reino Unido