Massad, T.; Balch, J. K.; Mews, C. L.; Porto, P.; Junior, B. H. M.; Quintino, R. M.; Brando, P. M.; Vieira, S. A.; Trumbore, S. E.: Early recruitment responses to interactions between frequent fires, nutrients, and herbivory in the southern Amazon. Oecologia 178 (3), pp. 807 - 817 (2015)
Keiner, R.; Frosch, T.; Massad, T.; Trumbore, S. E.; Popp, J.: Enhanced Raman multigas sensing - a novel tool for control and analysis of 13CO2 labeling experiments in environmental research. Analyst 139, 16, pp. 3813 - 4090 (2014)
Massad, T.; Trumbore, S. E.; Ganbat, G.; Reichelt, M.; Unsicker, S.; Boeckler, A.; Gleixner, G.; Gershenzon, J.; Ruehlow, S.: An optimal defense strategy for phenolic glycoside production in Populus trichocarpa — isotope labeling demonstrates secondary metabolite production in growing leaves. New Phytologist 203 (2), pp. 607 - 619 (2014)
Massad, T.: Ontogenetic differences of herbivory on woody and herbaceous plants: a meta-analysis demonstrating unique effects of herbivory on the young and the old, the slow and the fast. Oecologia 172, pp. 1 - 10 (2012)
Massad, T.; Balch, J. K.; Davidson, E. A.; Brando, P. M.; Mews, C. L.; Porto, P.; Quintino, R. M.; Vieira, S. A.; Marimon Junior, B. H.; Trumbore, S. E.: Interactions between repeated fire, nutrients, and insect herbivores affect the recovery of diversity in the southern Amazon. Oecologia 172 (2), pp. 219 - 229 (2012)
Massad, T. J.: Interactions in tropical reforestation - how plant defence and polycultures can reduce growth-limiting herbivory. Applied Vegetation Science 15 (3), pp. 338 - 348 (2012)
Massad, T. J.; Chambers, J. Q.; Rolim, S. G.; Jesus, R. M.; Dyer, L. A.: Restoration of Pasture to Forest in Brazil's Mata Atlantica: The Roles of Herbivory, Seedling Defenses, and Plot Design in Reforestation. Restoration Ecology 19, pp. 257 - 267 (2011)
Massad, T. J.; Fincher, R. M.; Smilanich, A. M.; Dyer, L.: A quantitative evaluation of major plant defense hypotheses, nature versus nurture, and chemistry versus ants. Arthropod-Plant Interactions 5 (2), pp. 125 - 139 (2011)
Massad, T. J.; Dyer, L. A.: A meta-analysis of the effects of global environmental change on plant-herbivore interactions. Arthropod-Plant Interactions 4 (3), pp. 181 - 188 (2010)
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.