| Literature DB >> 26315587 |
Christian Mougin1,2, Didier Azam3, Thierry Caquet4, Nathalie Cheviron5, Samuel Dequiedt6, Jean-François Le Galliard7,8, Olivier Guillaume9, Sabine Houot10, Gérard Lacroix7,8, François Lafolie11, Pierre-Alain Maron6, Radika Michniewicz9, Christian Pichot12, Lionel Ranjard6, Jacques Roy13, Bernd Zeller14, Jean Clobert9, André Chanzy11.
Abstract
The infrastructure for Analysis and Experimentation on Ecosystems (AnaEE-France) is an integrated network of the major French experimental, analytical, and modeling platforms dedicated to the biological study of continental ecosystems (aquatic and terrestrial). This infrastructure aims at understanding and predicting ecosystem dynamics under global change. AnaEE-France comprises complementary nodes offering access to the best experimental facilities and associated biological resources and data: Ecotrons, seminatural experimental platforms to manipulate terrestrial and aquatic ecosystems, in natura sites equipped for large-scale and long-term experiments. AnaEE-France also provides shared instruments and analytical platforms dedicated to environmental (micro) biology. Finally, AnaEE-France provides users with data bases and modeling tools designed to represent ecosystem dynamics and to go further in coupling ecological, agronomical, and evolutionary approaches. In particular, AnaEE-France offers adequate services to tackle the new challenges of research in ecotoxicology, positioning its various types of platforms in an ecologically advanced ecotoxicology approach. AnaEE-France is a leading international infrastructure, and it is pioneering the construction of AnaEE (Europe) infrastructure in the field of ecosystem research. AnaEE-France infrastructure is already open to the international community of scientists in the field of continental ecotoxicology.Keywords: Biochemical markers; Ecologically-based procedures; Ecotoxicology; Ecotrons; Environmental simulations; Environmental stressors; Environmental survey; Genetic resources; Higher tier testing; Information system; Mesocosms; Modeling; Process measurements
Mesh:
Year: 2015 PMID: 26315587 DOI: 10.1007/s11356-015-5233-9
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 4.223