House, J. I.; Archer, S.; Breshears, D. D.; Scholes, R. J.; Participants, N. T. G. I.: Conundrums in mixed woody-herbaceous plant systems. Journal of Biogeography 30 (11), pp. 1763 - 1777 (2003)
House, J. I.; Prentice, I. C.; Ramankutty, N.; Houghton, R. A.; Heimann, M.: Reconciling apparent inconsistencies in estimates of terrestrial CO2 sources and sinks. Tellus, Series B - Chemical and Physical Meteorology 55 (2), pp. 345 - 363 (2003)
House, J. I.; Prentice, I. C.; Le Quéré, C.: Maximum impacts of future reforestation or deforestation on atmospheric CO2. Global Change Biology 8 (11), pp. 1047 - 1052 (2002)
Joos, F.; Prentice, I. C.; House, J. I.: Growth enhancement due to global atmospheric change as predicted by terrestrial ecosystem models: consistent with US forest inventory data. Global Change Biology 8 (4), pp. 299 - 303 (2002)
Gignoux, J.; House, J. I.; Hall, D.; Masse, D.; Nacro, H. B.; Abbadie, L.: Design and test of a generic cohort model of soil organic matter decomposition: the SOMKO model. Global Ecology and Biogeography 10 (6), pp. 639 - 660 (2001)
Schimel, D. S.; House, J. I.; Hibbard, K. A.; Bousquet, P.; Ciais, P.; Peylin, P.; Braswell, B. H.; Apps, M. J.; Baker, D.; Bondeau, A.et al.; Canadell, J.; Churkina, G.; Cramer, W.; Denning, A. S.; Field, C. B.; Friedlingstein, P.; Goodale, C.; Heimann, M.; Houghton, R. A.; Melillo, J. M.; Moore Iii, B.; Murdiyarso, D.; Noble, I.; Pacala, S. W.; Prentice, I. C.; Raupach, M. R.; Rayner, P. J.; Scholes, R. J.; Steffen, W. L.; Wirth, C.: Recent patterns and mechanisms of carbon exchange by terrestrial ecosystems. Nature 414 (6860), pp. 169 - 172 (2001)
Hall, D. O.; House, J. I.: Biomass energy in western Europe to 2050. In: Rural planning and management, pp. 485 - 496 (Eds. Morris, J.; Bailey, A.; Kerry Turner, R.; Bateman, I. J.). Edward Elgar Publishing Ltd., Cheltenham (2001)
House, J. I.; Hall, D. O.: Productivity of Tropical Savannas and Grasslands. In: Terrestrial global productivity, pp. 363 - 400 (Eds. Roy, J.; Saugier, B.; Mooney, H.). Academic Press, San Diego (2001)
Hall, D. O.; House, J. I.; Scrase, I.: An overview of biomass energy. In: Industrial uses of biomass energy: the example of Brazil, pp. 1 - 26 (Eds. Rosillo-Calle, F.; Bajay, S. V.; Rothmann, H.). Taylor & Francis, London (2000)
The Germany-wide citizen science project GartenDiv will research plant diversity in Germany's gardens for the first time. A one-year pilot project will provide an overview of which plants thrive in gardens across the country.
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.