Wir untersuchen die Einflüsse umweltbedingter Stressfaktoren auf die Holzanatomie und die physiologischen Prozesse von Bäumen.
Climat et de L’Environnement (LSCE)): Tree-ring constraints for global land surface models
Wissenschaftlicher Mitarbeiter, WSL Birmensdorf, Eidg. Forschungsanstalt WSL, Zürcherstrasse 111, 8903 Birmensdorf
of landscape metrics improve predictions of occurrence of species distribution models
Die prognostizierte Zunahme der Häufigkeit von Waldbränden im Zuge des Klimawandels unterstreicht die Notwendigkeit langfristiger Studien über die Baumverjüngung und die Sukzessionsfolge von Bäumen nach Waldbränden. Diese Daten dienen als Grundlage für adaptives Management und Interventionspläne.
Tree mortality submodels drive simulated long‐term forest dynamics: assessing 15 models
Our project will evaluate effects of different forms of interactive involvement in river restoration projects on involved residents’ social learning and their psychological ownership and investigate whether this enhances acceptance of the river restoration projects.
follow-up survey in several case regions in Switzerland measuring a) residents’ mental models
We critically lack leaf temperature assessments because of the difficulties associated with these measurements. The project aims at developing a novel approach that reconstructs leaf temperature over multiple time scales using plant water isotopes.
isotopic signals in leaf compounds to reconstruct leaf temperatures via mechanistic models
Supraglacial debris considerably alters the response of glaciers to changes in climate, yet debris-covered glaciers are notoriously difficult to delineate due to their fuzzy boundaries and spectral similarities to marginal moraines. Their surfaces are often characterized by supraglacial ponds and ex
This theme of our research enables the development and application of models to better
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.
major impact, in particular for the application of numerical avalanche prediction models
This project will systematically collect the measurements of physical properties needed to constrain the a new generation of debris thickness inversion methods, enabling high-accuracy global estimates of supraglacial debris thickness and its rate of change.
estimate of supraglacial debris thickness to allow a new generation of glacier models
If an avalanche is triggered, how large will it be? To answer this question, we will analyze unique data from field experiments to provide new insights into the process controlling avalanche release and avalanche size.
While in recent years computer models have been used to study this process, there
Wissenschaftlicher Mitarbeiter, WSL Birmensdorf, Eidg. Forschungsanstalt WSL, Zürcherstrasse 111, 8903 Birmensdorf
entomology, biological invasions, surveillance methods, population genetics, phenology models
