Environment

Eawag researchers are using computer algorithms to predict the toxicity of chemicals to fish. Machine learning can help set priorities for experiments and, in the longer term, enable a tremendous reduction of animal testing.

Plastic waste is now polluting all of the world's ecosystems, even those located far from civilisation. The impact of this on the food chain is still unclear. A laboratory study by the Swiss Federal Institute for Forest Snow and Landscape Research WSL published in iForest has now shown that forest trees also take up plastic particles through their roots and transport them to the above-ground tissues of the plant.

Human geographer Christine Eriksen and physicist David Bresch conduct research into weather and climate risks. Their methods may be different, but they agree that the scale of a disaster is often determined more by societal decisions than by the natural hazard itself.  

An international research team use a global sampling of seawater to reveal which tropical reef fish occur where. To identify species and families, they successfully used the residual DNA shed by the animals present in the water. But not all fish can be traced in this way.

Using an artificial neural network, researchers at ETH Zurich have created the first high-resolution global vegetation height map for 2020 from satellite images. This map could provide key information for fighting climate change and species extinction, as well as for sustainable regional development planning.