Potentiale zur energetischen Nutzung von Biomasse in der ... - EPFL

GIS model 179
Bundesamt für Energie BFE
Vegetation storey Stand mixture Age class Annual growth (m 3 /ha*yr)
Subalpine upper coniferous uneven aged 3.1
mature 3.6
mixed uneven aged 3.1
Subalpine lower coniferous uneven aged 4.9
young 15.7
middle-aged 9.8
mature 6.2
mixed uneven aged 4.1
young 13.0
middle-aged 8.0
mature 6.4
deciduous uneven aged 2.0
young 5.3
mature 3.5
Mountainous upper coniferous uneven aged 7.9
young 20.2
middle-aged 9.7
mature 8.1
mixed uneven aged 7.3
young 16.3
middle-aged 9.9
mature 6.5
deciduous uneven aged 3.4
young 6.9
middle-aged 8.4
mature 4.3
Mountainous lower coniferous uneven aged 11.0
young 18.9
middle-aged 13.0
mature 9.5
mixed uneven aged 8.4
young 14.2
middle-aged 10.5
mature 7.2
deciduous uneven aged 5.1
young 10.1
middle-aged 7.2
mature 7.0
Hilly/Submountain coniferous uneven aged 12.1
young 17.2
middle-aged 12.7
mature 10.2
mixed uneven aged 8.8
young 13.5
middle-aged 10.5
mature 10.9
deciduous uneven aged 5.7
young 11.4
middle-aged 7.2
mature 7.2
Table 46 Annual growth rates of coniferous and deciduous species in repartition by vegetation storey. Source:
WSL 2004.
The total harvestable amount of biomass at each pixel can be calculated by multiplying the standing
volume of trees at each pixel by its respective ecological availability factor. Still a more precise evaluation
of the annual increment of biomass could be obtained, if detailed data on particular tree species’ annual
growth rates and repartition of each pixel’s surface among different tree species were available.