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Les techniques de diagnostic en santé des espèces aquacoles : intérêt et limites ArchiMer
Michel, C.; Bernardet, J. -f.; Castric, J.; Joly, Jean-pierre.
A great variety of pathogenic organisms present in the water may affect the vertebrate and invertebrate species cultured in different aquatic habitats. Compared to humans and terrestrial species, the diagnostic of aquatic animal diseases has long been hampered by scarce taxonomic knowledge about the relevant pathogens, but advances resulting from genetic and molecular developments has now resulted in a complete panoply of suitable techniques for this purpose. Choosing a diagnostic method should be done according to clinical, sanitary or officially prescribed considerations, and also according to the purpose of the procedure, should it be the correct identification or the detection of a pathogen. A critical overview of the techniques available of common use...
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Ano: 2007 URL: http://archimer.ifremer.fr/doc/2007/publication-6133.pdf
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Using a quantitative model for participatory geo-foresight: ISIS-Fish and fishing governance in the Bay of Biscay ArchiMer
Provot, Zoe; Mahévas, Stephanie; Tissière, Laurie; Michel, C.; Lehuta, Sigrid; Trouillet, B..
This study investigated the use of a complex quantitative simulation model for participatory geo-foresight for the governance of the marine socio-ecosystem in the Bay of Biscay. The approach is simulation-based combining qualitative and quantitative expert-knowledge focusing on the demersal fishery in the Bay of Biscay. A three-stage approach was carried out : (i) translation by stakeholders of a narrative scenario drawn up during the geo-foresight into quantitative sub-scenarios that could be parameterized in ISIS-Fish; (ii) simulation with ISIS-Fish and study of the consequences of the sub-scenarios on the dynamics of the fishery; and (iii) participants feedback on the relevance of the model, on the possibility to detail the narrative scenario further...
Tipo: Text Palavras-chave: Geo-foresight; Participatory; Spatial; Complex quantitative; Model; ISIS-Fish; Scenarios; Fishery dynamics; Bay of Biscay.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00459/57034/69604.pdf
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