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: https://www.ghostery.com/fr/products/

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: http://www.youronlinechoices.com/fr/controler-ses-cookies/, 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

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

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 cil-dpo@inra.fr or by post at:

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

Dernière mise à jour : Mai 2018

Menu INRA Logo partenaire

LabEx BASC

Axis 2 - Capacities & limits of adaptation of organisms, ecosystems & societies to global change

Evolution has led to a remarkable diversity of species and their adaptation to a vast range of biotic interactions and abiotic environments on Earth.

Evolution, physiological and behavioral plasticity and social flexibility have also permitted the adaptation of species, including humans, to extremely large environmental changes over the history of the Earth. These observations suggest there is a potentially remarkable capacity of SES to adapt to future global change. However, human driven global change is accelerating and involves many factors. Will adaptive mechanisms of organisms, ecosystems and social systems be able to keep pace? Or, will rapid global change outstrip adaptive capacity and in extreme cases push systems beyond tipping points causing large, undesirable and difficult to reverse shifts to ecologically and economically degraded states?In order to address these questions, the BASC project with rely on existing strong disciplinary research on evolution and adaptation of agricultural and natural ecosystems with the ambition of fostering new interdisciplinary research on adaptation to rapid global change and stimulating innovations that facilitate adaptation in the face of global change.

Several lines of investigation will be explored:

  • Developing a hierarchical, integrated approach to understanding and predicting the capacities and limits of adaptation to global change:
    • establish how establish how adaptation processes (phenotypic plasticity and genetic assimilation, heritable modifications in gene function and regulation, epigenetic changes, ecological learning...) can interact to promote rapid adaptive responses to multiple environmental perturbations for wild and agricultural species and how this scales up to population and community levels;
    • explore the interface between the dynamics of ecosystems and societies and mechanisms that constrain or enhance adaptive capacity in the individual components of the system, as well as the interactions between components;
  • Identifying common mechanisms and indicators of adaptive capacity across levels of study: develop modeling tools that are specifically designed to explore adaptive capacity (systems biology models, economic models, models of system viability);
  • Facilitating adaptation through innovation:
    • genetic innovation to guide selection of new varieties of crops that are better adapted to projected climate changes;
    • increased genetic variability in agroecosystems to reinforce adaptive capacity through on-farm conservation, participatory plant breeding, management of genetic diversity at the field and landscape levels; synergies with innovative low input cropping and farming systems based on the principles of agroecology;
    • analysis of the socio-technical transitions related to agroecological innovations to characterise their potential and limits;
    • methods of integrating several spatial scales to improve production / environment trade-offs, as each additional spatial scale can bring new leeway for reconciliation. This upscalling, from field to landscape, requires a dialogue between actors carrying potentially divergent interests.