Modelling forest snow processes with a new version of WaSiM

We present a new model extension for the Water balance Simulation Model, WaSiM, which features (i) snow interception and (ii) modified meteorological conditions under coniferous forest canopies, complementing recently developed model extensions for particular mountain hydrological processes. Two study areas in Austria and Germany are considered in this study. To supplement and constrain the modelling experiments with on-site observations, a network of terrestrial time-lapse cameras was set up in one of these catchments. The spatiotemporal patterns of snow depth inside the forest and at the adjacent open field sites were recorded along with snow interception dynamics. Comparison of observed and modelled snow cover and canopy interception indicates that the new version of WaSiM reliably reconstructs the variability of snow accumulation for both the forest and the open field. The Nash-Sutcliffe efficiency computed for selected runoff events in spring increases from −0.68 to 0.71 and 0.21 to 0.87, respectively

The Role of Transdisciplinary Research for Agricultural Climate Change Adaptation Strategies

While science widely acknowledges the necessity of climate change adaptation (CCA), concrete strategies for CCA by major land-use actor groups at a local level are largely missing. Immediate economic challenges often prevent the establishment of long-term collective strategies. However, collective decisions on a communal level regarding land use are crucial for CCA strategies, given the interdependencies of farming with forestry, tourism, and other economic sectors, especially in mountain areas. This paper presents inter- and trans-disciplinary learning processes, which have evolved into a project modelling the hydrological effects of combined future climate and land-use changes based on the combined scenarios of climate and socio-economic change in an Alpine valley (Brixental in Tyrol/Austria). Locally adapted scenarios illustrate future land-use changes as a result of both climate change and different socio-economic developments. The hydrological results show how an increase in the forested area reduces streamflow (as a measure of water availability) in the long term. For local stakeholders, the process demonstrated clearly the interdependence of different economic sectors and the necessity for collective action at a regional level to influence socio-economic development. Moreover, it made them aware that local decisions on future land use may influence the effects of climate change. Consistent storylines helped stakeholders to visualize a desired future and to see their scope of influence. The transdisciplinary research process allowed local stakeholders to translate the hydrological modelling results into a concrete local CCA strategy