L'expérience de Iéna démontre les avantages de la diversité végétale pour les prairies

Fischer, Markus; Rottstock, Tanja; Marquard, E; Middelhoff, C; Roscher, C; Temperton, V.M.; Oelmann, Y; Weigelt, A (2008). L'expérience de Iéna démontre les avantages de la diversité végétale pour les prairies. Fourrages(195), pp. 275-286. Versailles: Association Française pour la Production Fourragère

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A number of studies suggest that there could be a positive relationship between the productivity of a plant community and its floristic diversity. Besides, for grasslands, productivity is not the only desirable advantage. The Jena trials, constituting a large-scale and long-duration experiment, were set up to tackle these questions. In the plots of the Jena trials, the number of species varies from 1 to 60. Various sub-trials deal with the effects of the composition and the diversity of a pasture sward on its productivity, the diversity of certain organisms, and several ecological processes. The results from the first 6 years show clearly that there exist positive relationships between the number of species, the presence of legumes and/or the functional diversity on the one hand, and on the other the productivity, the resistance to encroachment by plants and to pathogenic fungi, and the cycles of nutrients. The positive effects of the floristic diversity on the processes at the scale of the eco-system are of importance to the agricultural production and to the general environmental impact.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Biology > Institute of Plant Sciences (IPS) > Plant Ecology
08 Faculty of Science > Department of Biology > Institute of Plant Sciences (IPS)

UniBE Contributor:

Fischer, Markus

ISSN:

0429-2766

Publisher:

Association Française pour la Production Fourragère

Language:

English

Submitter:

Peter Alfred von Ballmoos-Haas

Date Deposited:

04 Oct 2013 15:08

Last Modified:

13 Jun 2014 14:39

URI:

https://boris.unibe.ch/id/eprint/30113 (FactScience: 171886)

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