Spatial-temporal monitoring of water uptake and increment from terrestrial and high resolution satellite data in pure and mixed stands.

Forests bind 25% of annual carbon emissions and an increase in forest area and an increase in forest growth contribute to the EU Forest Strategy 2030 and national strategies (climate neutrality by 2040, carbon management strategy). One of the greatest uncertainties in such plans is the response of the forest to global warming, the mechanisms of which are only partially understood so far. Trees' responses to climate can best be determined using high-resolution dendrometer and sap flow measurements. However, such detailed measurements are only possible at a few locations and on a few trees. In contrast, satellite image data have good spatial representativeness and vegetation dynamics can be well mapped using time series from satellite image data. However, no causal relationships to forest growth can yet be established from these time series. The aim of the project is to develop a spatially and temporally high-resolution monitoring of the growth and tree species vulnerability for the tree species spruce, fir, larch, pine, beech and oak in pure and mixed stands by combining dendrometer data, sap flow sensors and satellite images and to test it on independent data.