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Provedor de dados:  ArchiMer
País:  France
Título:  A fish-based index of estuarine ecological quality incorporating information from both scientific fish survey and experts knowledge
Autores:  Tableau, Adrien
Drouineau, Hilaire
Delpech, C.
Pierre, M.
Lobry, J.
Le Pape, O.
Breine, J.
Lepage, Mario
Data:  2013-09
Ano:  2013
Palavras-chave:  Anthropogenic pressure
Bayesian method
Expert judgement
Multimetric fish-based indicator
Prior information
Water Framework Directive
Resumo:  In the Water Framework Directive (European Union) context, a multimetric fish based index is required to assess the ecological status of French estuarine water bodies. A first indicator called ELFI was developed, however similarly to most indicators, the method to combine the core metrics was rather subjective and this indicator does not provide uncertainty assessment. Recently, a Bayesian method to build indicators was developed and appeared relevant to select metrics sensitive to global anthropogenic pressure, to combine them objectively in an index and to provide a measure of uncertainty around the diagnostic. Moreover, the Bayesian framework is especially well adapted to integrate knowledge and information not included in surveys data. In this context, the present study used this Bayesian method to build a multimetric fish based index of ecological quality accounting for experts knowledge. The first step consisted in elaborating a questionnaire to collect assessments from different experts then in building relevant priors to summarize those assessments for each water body. Then, these priors were combined with surveys data in the index to complement the diagnosis of quality. Finally, a comparison between diagnoses using only fish data and using both information sources underlined experts knowledge contribution. Regarding the results, 68% of the diagnosis matched demonstrating that including experts knowledge thanks to the Bayesian framework confirmed or slightly modified the diagnosis provided by survey data but influenced uncertainty around the diagnostic and appeared especially relevant in terms of risk management.
Tipo:  Text
Idioma:  Inglês

Editor:  Elsevier Science Bv
Formato:  application/pdf
Fonte:  Ecological Indicators (1470-160X) (Elsevier Science Bv), 2013-09 , Vol. 32 , P. 147-156
Direitos:  2013 Elsevier Ltd. All rights reserved.

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