Lipowsky, A.; Schmid, B.; Roscher, C.: Selection for monoculture and mixture genotypes in a biodiversity experiment. Basic and Applied Ecology 12 (4), pp. 360 - 371 (2011)
Mraja, A.; Unsicker, S. B.; Reichelt, M.; Gershenzon, J.; Roscher, C.: Plant community diversity influences allocation to direct chemical defence in Plantago lanceolata. Plos One 6 (12), p. e28055 (2011)
Nestmann, S.; Rajicic, T. S.; Dehmer, K. J.; Fischer, M.; Schumacher, J.; Roscher, C.: Plant species diversity and composition of experimental grasslands affect genetic differentiation of Lolium perenne populations. Molecular Ecology 20 (10), pp. 2188 - 2203 (2011)
Roscher, C.; Scherer-Lorenzen, M.; Schumacher, J.; Temperton, V. M.; Buchmann, N.; Schulze, E. D.: Plant resource-use characteristics as predictors for species contribution to community biomass in experimental grasslands. Perspectives in Plant Ecology, Evolution and Systematics 13 (1), pp. 1 - 13 (2011)
Roscher, C.; Schmid, B.; Buchmann, N.; Weigelt, A.; Schulze, E.-D.: Legume species differ in the responses of their functional traits to plant diversity. Oecologia 165 (2), pp. 437 - 452 (2011)
Roscher, C.; Thein, S.; Weigelt, A.; Temperton, V. M.; Buchmann, N.; Schulze, E. D.: N2 fixation and performance of 12 legume species in a 6-year grassland biodiversity experiment. Plant and Soil 341 (1-2), pp. 333 - 348 (2011)
Petermann, J. S.; Fergus, A. J. F.; Roscher, C.; Turnbull, L. A.; Weigelt, A.; Schmid, B.: Biology, chance, or history? The predictable reassembly of temperate grassland communities. Ecology 91 (2), pp. 408 - 421 (2010)
Petermann, J. S.; Müller, C. B.; Roscher, C.; Weigelt, A.; Weisser, W. W.; Schmid, B.: Plant Species Loss Affects Life-History Traits of Aphids and Their Parasitoids. Plos One 5 (8), p. e12053 (2010)
Scherling, C.; Roscher, C.; Giavalisco, P.; Schulze, E. D.; Weckwerth, W.: Metabolomics unravel contrasting effects of biodiversity on the performance of individual plant species. Plos One 5 (9), e12569 (2010)
Weigelt, A.; Marquard, E.; Temperton, V. M.; Roscher, C.; Scherber, C.; Mwangi, P. N.; Von Felten, S.; Buchmann, N.; Schmid, B.; Schulze, E. D.et al.; Weisser, W. W.: The Jena-Experiment: six years of data from a grassland biodiversity experiment. Ecology 91 (3), p. 930 (2010)
Bessler, H.; Temperton, V. M.; Roscher, C.; Buchmann, N.; Schmid, B.; Schulze, E. D.; Weisser, W. W.; Engels, C.: Aboveground overyielding in grassland mixtures is associated with reduced biomass partitioning to belowground organs. Ecology 90 (6), pp. 1520 - 1530 (2009)
In the annual ranking of the world's most cited and thus most influential scientists, five authors from our institute are once again represented in 2024.
David Hafezi Rachti was awarded twice: for his EGU poster with this year’s “Outstanding Student and PhD candidate Presentation” (OSPP) and for his Bachelor thesis, he received the 1st prize of the “Young Climate Scientist Award 2024”.
The Chapter of the Order has elected the writer, philosopher and filmmaker Alexander Kluge and the mathematician Gerd Faltings as domestic members of the Order and the geologist Susan Trumbore and the literary scholar Stephen Greenblatt as foreign members.
From the Greek philosopher Aristotle to Charles Darwin to the present day, scientists have dealt with this fundamental question of biology. Contrary to public perception, however, it is still largely unresolved. Scientists have now presented a new approach for the identification and delimitation of species using artificial intelligence (AI).
A research team led by the German Centre for Integrative Biodiversity Research (iDiv) and Leipzig University has developed an algorithm that analyses observational data from the Flora Incognita app. The novel can be used to derive ecological patterns that could provide valuable information about the effects of climate change on plants.
On June 24, Prof. Dr. Henrik Hartmann, head of the Julius Kühn Institute for Forest Protection and former group leader at the Max Planck Institute for Biogeochemistry, received an important award for his scientific achievements in the field of forestry. Our warmest congratulations!
The new research project "PollenNet" aims to use artificial intelligence to accurately predict the spread of pollen. In order to improve allergy prevention, experts are bringing together the latest interdisciplinary findings from a wide range of fields.
Plant observations collected with plant identification apps such as Flora Incognita allow statements about the developmental stages of plants - both on a small scale and across Europe.