Wolfgang Kießling traces Earth’s history through layers of fossils. The data he uncovers together with his team serves to create a reliable database for climate research, opening up opportunities for nature-based conservation solutions.
Hof University of Applied Sciences is committed to sustainability and “greentech” and is driving innovation through research into sustainable water management.
Research projects at HSWT are investigating the climate-protection potential of peatlands—and are at the heart of environmental protection efforts in Bavaria’s rural landscape.
Biodiversity researchers develop mechanistic simulation models to unravel the processes influencing biodiversity origin, maintenance and dynamics across space and time, from individuals to entire ecosystems.
Scientists at the University of Bayreuth are investigating how extreme weather events affect biodiversity and ecosystem functioning. Together with their international partners, they study the local impacts of global climate change.
Engineers at TH Rosenheim are addressing the challenges facing wood technology with a new logistics concept, dynamic partnerships and sustainable future industry models.
Although more than half of the world’s rivers have been altered by human activity and climate change, the floodplain ecosystems along the Naryn River in Kyrgyzstan remain largely untouched.
The Keylab Glass Technology at the University of Bayreuth is currently researching the production of glass bottles that do not break. They are using a process that is also used for smartphone displays.
The lack of uniform analytical standards currently prevents the comparability of data on microplastics in the environment. Researchers from the University of Bayreuth and the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) have now, for the first time, compared two automated analysis procedures for microplastic data with regard to the results. Significant deviations were found especially for small particles with comparatively high hazard potential. The study, published in the journal Analytical and Bioanalytical Chemistry, shows that the standardization of analytical procedures must be a key research goal.
Artificial intelligence should soon make it possible to detect forest fire hazards earlier than before and to fight forest fires more effectively. This is the goal of the joint project "AI-based Forest Monitoring - Artificial Intelligence for Early Detection of Forest Fire Events (KIWA)", in which the University of Bayreuth is participating with its research competencies in biogeography and disturbance ecology. The German Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (BMUV) is funding the project for the next two years with a total of around 1.8 million euros
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