Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free:

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site:, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Google Analytics

Targeted advertising cookies


The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at or by post at:

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

Dernière mise à jour : Mai 2018

Menu Logo Principal Logo de transition de L'institut Agro / Agrocampus Ouest

ESE - Ecology and Ecosystem Health

An observatory of amphihaline migratory fish at sea

Come to the ESEminar of Sophie Eliott, Post-doc of the EH team, which will focus on the study of the marine phases of amphihaline migratory fish. This ESEminar will be both face-to-face and distance learning (see information below).

This ESEminar will take place on Tuesday June 22, 2021, at 13H00, both in the Amphi Roux (building B15, Agrocampus Ouest) with a capacity limited to 25 people and also remotely via the usual link (BigBlueButton).

Access to the Roux amphitheatre is limited, so please register to attend the ESEminaire in person by following this link:

Attention first come, first served, but do not hesitate to register !

For those who cannot attend, this presentation will be recorded and available by following the same link above (link available for 15 days).


Declines in diadromous fish occurred as a result of anthropogenic pressures during the late twentieth century. Many diadromous fish which were commercially important are now under the IUCN red list, and protected. The freshwater stages of most diadromous fish are well known. Little is known about their marine life history phases.

We collated a database of 168 904 hauls from both fisheries-dependent and fisheries-independent surveys from across North-western European waters. Hierarchical Bayesian (presence-absence) distribution models were applied, taking into account imperfect detection from the different gear types and spatial autocorrelation. These models will be used and compared against other SDM techniques to predict diadromous fish distribution within Marine Protected Areas.