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Based on the initial values of the year 2000 the development of standing timber volume, carbon stock, stand age, and dominant tree species was simulated under the three management schemes and two climate change scenarios given above.
Figure 1 presents the initial situation in the year 2000 for the spatial distribution of standing timber volume [m3/ha], main tree species [spruce, pine, oak, beech, mixed species stands], stand age [in 30-year classes], and carbon stock [t/ha].
Figure 1 presents the initial situation in the year 2000 for the spatial distribution of standing timber volume [m/ha], main tree species [spruce, pine, oak, beech, mixed species stands], stand age [in 30-year classes], and carbon stock [t/ha].
These differences are also reflected by the patterns of stand age. Figure 1 Initial stage in 2000 for standing timber volume.
The 40-year study period (Table 3) shows that in the volume strategy scenario, timber harvest levels in the early stages impact the standing timber volume and therefore reduces the forest carbon stocks.
This paper quantifies the potential efficiencies to be gained by using Light Detection and Ranging (LiDAR) data as an aid to estimation of standing timber volume in softwood plantations.
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This management alternative leads to an (over)maturation of the stands and thus higher standing timber volumes (figure 2) and average stand ages (figure 4).
The vast majority of regions show standing timber volumes above 350 m350a.
Among the three management types the simulation results for 2100 show the lowest standing timber volumes for "maximum profit oriented management" (figure 2).
The vast majority of regions show standing timber volumes above 350 m/ha.
This effect can mainly be observed in central and north eastern Germany, where the initial standing timber volumes were lower than in southern Germany.
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