The risk profile of a forest region, in particular windthrow risk and drought stress, is determined by site parameters, climate conditions and forest characteristics in terms of e.g. species composition, age class distribution, standing volume, growth potential.
Currently available programs can immediately compute changes in mensurational variables (e.g., basal area, diameter distribution, standing volume) and, once linked with a dynamic individual-tree simulator such as SILVA (Pretzsch et al. 2002), might be able to predict and visualize likely effects of different silvicultural treatments or decision-making over time in mixed-forests.
In this case, allele-frequency dynamics are dominated by genetic drift, and the distribution of adaptive substitutions reflects the approximately Gaussian distribution of standing genetic variants [ Equation 25; Figure S3_4 (File S3)].
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].
Terry Murphy, John Lewis's director of national distribution, is standing by the railings on a high deck, staring out at the frenetic action below.
Frédéric Nowak, 49, who works in coffee-machine distribution, was standing in his blood-soaked Boston Celtics T-shirt and lifted it up to show blood-caked surface wounds across his chest.
There was no evidence that understory prescribed burning influenced the amount and size distribution of standing and down dead woody material.
In the inner plasmasphere (on magnetic shells L < 2), the distribution of standing SMS wave amplitudes on short field lines is such as to feature sharp peaks at the ionospheric F2-region altitudes (Leonovich et al., 2010).
Global positioning system (GPS) collars were used to track cattle movement and activity in three, 800+ ha pastures where the spatial distribution of standing crop, crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), and forage digestibility (in situ dry matter disappearance (ISDMD)) were mapped in late spring.
The data from plantar pressure distribution while standing were collected.
