Dein Suchergebnis zum Thema: have

The emergence of visible tree-stress symptoms caused by the emerald ash borer occurs only several years after its arrival and are hard to tell apart from those caused by soil drought. Here, we investigate the potential of reflectance spectroscopy as an early-warning screening tool.
Consequently, the early detection and containment of these species have gained importance

We want to explore a stable isotope tree-ring approach for analyzing physiological drought responses of trees. The results are expected to provide a novel diagnostic tool for understanding causes of tree decline.
Deuterium isotope ratios have been rarely applied in this context, but could be an

Teaser
Although each test site will be small, the whole experiment will have an unprecedented

The data for avalanche forecasting need to be accessible in high quality as soon as these become available. Any measurement errors, anomalies and data gaps diminish forecast accuracy. We aim to develop algorithms for real-time data cleansing by applying state-of-the-art machine learning approaches.
Hence, the completion of the proposed research will have a major impact, in particular

This project will digitise the 100+ years worth of data that is stored in field note books, plot maps, hand-drawn root structures and crown maps etc.
They have proved to be very valuable for many WSL projects in connection with modelling

In this project, funded by the Swiss Agency for Development Cooperation (SDC / DEZA), we propose to apply large scale hazard indication mapping algorithms to the Himalayan province of Uttarakhand. Our goal is to identify unstable rock/ice masses and perform thermo-mechanical simulations – at the large-scale – to predict the danger of rock/ice avalanches, such as the recent event in Chamoli.
All of these events hence have disastrous consequences for people and infrastructures

This project quantifies changes in high-end droughts and floods and their uncertainty for hydrological Switzerland in a warming climate by generating a hydrological Single Model Initial condition Large Ensemble (SMILE).
To date, few studies have combined atmospheric SMILEs with hydrological models to

Testing the value added of knowledge co-production among natural hazard researchers, natural hazard managers and local experts to achieve a shared understanding of future regional mass movement risks.
Regional stakeholders, experts in natural hazards management and scientists have

Photosynthesis of forest ecosystems can be reduced in spring most likely due to cold temperatures. Such cold-related processes are, however, not captured in mechanistic models and we thus aim to assess the mechanisms and frequencies of such depressions and include them into models.
Federal Research Institute WSL Low temperatures, e.g., by late frost events, have

This project investigates how the interaction between plant phenology, defense chemistry and the trade-offs between growth and chemical defenses are modulated by environmental variation and stress.
Therefore, factors that substantially alter phytochemistry can have far-reaching