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 AgroParisTech Université de Lorraine UMR SILVA

Home page


UMR Silva comprises about 110 permanent staff (see list of staff) and welcomes students (Undergraduates, Masters and PhDs), post-docs, and non-permanent staffs. It is located on three sites, Nancy (AgroParisTech), Champenoux (INRAE), and Vandoeuvre-les-Nancy (UL).

The aim of the UMR Silva is to develop pure and applied research works in order to answer society questions, in particular those of forest managers, on the adaptation of forest ecosystems to global changes and of changes in social expectations of forest products and services, including their contribution to climate change mitigation.

UMR Silva is strongly committed to initial training, through people from AgroParisTech and Université de Lorraine who compose it, and more generally in training through research; in this context, UMR Silva offers a diversified range of initial and advanced courses of higher level in the fields of wood, forest and ecology

Research objectives are studied within 4 research teams which are complementary in the different approaches and scales that are implemented:

  • The PHARE "Physiology of trees in response to environment" team.
  • The ForeSTree "Forest, Stand, Tree" team.
  • The EcoSilva "Long term dynamics and vulnerability of ecosystems under low anthropisation" team.
  • The Wood-Stock "wood formation and properties, traditional and innovative uses" team.

These research teams are supported by an analytical platform « Silvatech », a GIS-DataBase technical platform, and an « Administrative Management » team. [liens vers chacun]

UMR Silva is part of the « Laboratoires d’Excellence » « Labex-ARBRE » and « Labex-CEBA », of « Lorraine Université d’Excellence », and of the “AgreenSkills mobility program“.


UMR Silva is developing a multidisciplinary and integrative research project on the ecology of forests (wood, tree, ecosystem), in the context of global changes. Our main objectives are to produce pure and finalized knowledge and tools that allow (i) to analyze and integrate the processes that allow to characterize and understand the diversity of tree response to their environment and that underpin ecosystem services, (ii) to promote the adaptation (and restoration) capacities of ecosystems, (iii) and to optimize sustainable wood production in forest ecosystems.

Our scientific project is divided into 5 central scientific themes (see Diagram) which aim to meet the main challenges and the current issues of society about forest ecosystems.

Objectives UMR Silva

In order to study these different themes, UMR Silva is structured into 3 scientific teams:

  • The PHARE « Physiology of trees in response to environment » team analyses mechanisms controlling the development and functioning of trees and the diversity of their response to environmental factors (mainly drought, temperature, atmospheric pollution, wind, high [CO2]). Research work is conducted mainly from cell and organ level up to tree level, and for short time-scales.
  • The ForeSTree « Forest, Stand, Tree » team analyses tree functioning and population dynamics in interaction with climatic factors in order to improve forest ecosystems management. Research work is conducted at organ and tree level and up to populations and ecosystems levels, with time-scales from hour to centuries (using modelling).
  • The EcoSilva « Long term dynamics and vulnerability of ecosystems under low anthropisation » analyses mechanisms linking environmental factors and changes of ecosystems and the ways trees and ecosystems adapt - and are resilient – to disturbances caused by environmental changes, mainly inter-annual variations, trends in climate, or changes in land use.
  • The Wood-Stock "wood formation and properties, traditional and innovative uses" team sets its research within the larger framework of the study of forest ecosystems structure and functioning, effects of chronic and exceptional changes of environmental factors, and sustainable supply of ecosystem services. 

These research teams are supported by an analytical platform « Silvatech », a technical platform on GIS and databases « SIG-BD », and an « Administrative Management » team. Furthermore, our unit includes an experimental station labelized by INRA (« Installation Expérimentale Croissance »). Two specific « missions » are also identified in our organization (Missions « RENFOR » and « GIS-Coop »): they correspond to the memorandums of understanding of joint, long–term research programs signed between our supervisory bodies (INRAE, AgroParisTech) and public or private partners (eg. ONF, FCBA, CNPF, etc.).


Our Unit implements research programs in the following disciplines (in alphabetical order): bioclimatology, biology, biomechanics, community ecology, dendrochronology, ecophysiology, forest dynamics, forestry, functional ecology, genetics, modeling, molecular biology, plant physiology, tree species ecology, wood sciences.


Research programs are based on studies carried out at different time (from the second to millennia) and spatial (from the gene to the continent) scales, with links among each other, in particular through modeling. They have a strong regional base (Grand-Est region), with a common focus on semi-natural deciduous forests. However, we are also working in other ecosystems all over France and Europe, such as on temperate forest (plantations, semi-natural forests, including coniferous) and agro-forest systems, as well as in tropical forest ecosystems (fast-growing plantations or natural rainforests).