Schulze, E. D.; Weber, U.; Gebauer, G.: Der Wald kann den Artenrückgang nicht aufhalten. Holz-Zentralblatt: unabhängiges Organ für die Forst- und Holzwirtschaft 13, p. 234 (2024)
Schulze, E. D.; Weber, U.; Gebauer, G.: Die Bedeutung des Waldes zum Erhalt der Artenvielfalt der Gefäßpflanzen in Deutschland. Naturschutz und Landschaftsplanung 56 (03), pp. 34 - 38 (2024)
Li, W.; Reichstein, M.; O, S.; May, C.; Destouni, G.; Migliavacca, M.; Kraft, B.; Weber, U.; Orth, R.: Contrasting drought propagation into the terrestrial water cycle between dry and wet regions. Earth's Future 11 (7), e2022EF003441 (2023)
O, S.; Orth, R.; Weber, U.; Park, S. K.: High-resolution European daily soil moisture derived with machine learning (2003–2020). Scientific Data 9, 701 (2022)
Ruiz-Vásquez, M.; O, S.; Brenning, A.; Koster, R. D.; Balsamo, G.; Weber, U.; Arduini, G.; Bastos, A.; Reichstein, M.; Orth, R.: Exploring the relationship between temperature forecast errors and Earth system variables. Earth System Dynamics 13 (4), pp. 1451 - 1471 (2022)
Pacheco-Labrador, J.; Migliavacca, M.; Ma, X.; Mahecha, M. D.; Carvalhais, N.; Weber, U.; Benavides, R.; Bouriaud, O.; Barnoaie, I.; Coomesl, D. A.et al.; Bohn, F. J.; Kraemer, G.; Heide, U.; Huth, A.; Wirth, C.: Challenging the link between functional and spectral diversity with radiative transfer modeling and data. Remote Sensing of Environment 280, 113170 (2022)
Kim, Y.; Garcia, M.; Morillas, L.; Weber, U.; Black, T. A.; Johnson, M. S.: Relative humidity gradients as a key constraint on terrestrial water and energy fluxes. Hydrology and Earth System Sciences 25 (9), pp. 5175 - 5191 (2021)
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.
If rivers overflow their banks, the consequences can be devastating. Using methods of explainable machine learning, researchers at the Helmholtz Centre for Environmental Research (UFZ) have shown that floods are more extreme when several factors are involved in their development.
Europe is the fastest warming continent in the world. According to the European Environment Agency’s assessment, many of these risks have already reached critical levels and could become catastrophic without urgent and decisive action.
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.
A new study shows a natural solution to mitigate the effects of climate change such as extreme weather events. Researchers found that a diverse plant community acts as a buffer against fluctuations in soil temperature. This buffer, in turn, can have a decisive influence on important ecosystem processes.
Removing a tonne of CO2 from the air and thus undoing a tonne of emissions? Doesn't quite work, says a study. And provides four objections in view of Earth systems.
The new report by the Global Carbon Project shows: Fossil CO2 emissions will reach a record high in 2023. If emissions remain this high, the carbon budget that remains before reaching the 1.5°C limit will probably be used up in seven years. Although emissions from land use are decreasing slightly, they are still too high to be compensated by renewable forests and reforestation.
Global experts have unveiled the annual 10 New Insights in Climate Science report. The report equips policymakers with the latest and most pivotal climate science research from the previous 18 months, synthesised to help inform negotiations at COP28 and policy implementation through 2024 and beyond.
Storing carbon in the soil can help to mitigate climate change. Soil organic matter bound to minerals in particular can store carbon in the long term. A new study shows that the formation of mineral-associated organic matter depends primarily on the type of mineral, but is also influenced by land use and cultivation intensity.
Vegetation can respond to drought through different mechanisms, including changes in the plants’ structure and physiology. By analyzing state-of-the-art satellite-derived datasets with explainable machine learning methods, an international team around Wantong Li and René Orth showed that the vegetation’s physiology in many ecosystems has deviated from its structure under drought on a global scale.