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24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

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Fish Observatory

Observatoire Poisson

The French Observatory for Research on Diadromous Fish in Coastal Stream (ORE DiaPFC) aims to investigate the response of migratory fish populations to environmental changes (climate change and agricultural-related changes) in these rivers.

Today, the ORE DiaPFC gather population monitoring data for several diadromous fish species (Atlantic salmon, brown trout, European eels, shads, lampreys, etc.). These species have suffered strong declines due to human activities over the last decades and are an iconic part of the biodiversity of coastal streams. Coastal streams are now considered as the main refuge for anadromous fish species, which are virtually extirpated from large river systems.

The Research Infrastructure is composed of four rivers of the Atlantic and English Channel coast: the rivers Bresle and Oir in Normandy (Seine Maritime and Manche counties), the Scorff in Brittany (Morbihan county), the Nivelle in the Basque Country (Pyrénées Atlantiques county). In these four rivers, migratory fish population monitoring take place all year round since the early 80’s at dedicated field stations. Biological, physical and chemical parameters are also routinely collected. These rivers are linked with experimental facilities in Rennes and Saint-Pée-sur-Nivelle. Individual-based demo-genetic simulators for in-silico experimentation on virtual populations supplement are also part of this infrastructure.

The data collected as part of the ORE DiaPFC is stored in a database, some datasets would be available within the SOERE TEMPO. It includes phenology data that is specific or common to all the study sites and species. This database gathers series of long-term data (c.a. 30 years of records) from four coastal streams, which are updated annually. Moreover, ORE DiaPFC already feeds the Ecoscope metadata portal, and several datasets are available on open-access platforms, some of which are described in data papers (Marchand et al. 2017).

Managers : 

Didier Azam