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The total number of individuals, the average vegetation height, the standard deviation of height and the coefficient of variation (calculated by dividing the standard deviation by the mean height) were used to characterise the vegetation structure.
To calculate average vegetation height, we considered that the height of each individual corresponds to the mid-value of its height class (4.5 m for the last class, as most tall trees were still under 6 m in height) and calculated the mean of these mid-values.
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The generated maps showed that sediment yields were directly related to runoff and rainfall intensity and inversely correlated to average vegetation heights.
At each spot, the vegetation and stone cover, mean vegetation height (n = 3) and occurrence of functional plant groups (grasses, herbs and shrubs) were assessed.
To evaluate understory vegetation height, we measured the average visual obstruction (cm) at each nest site using a Robel pole (Robel et al. 1970).
At each point (foraging location or random point), and within a circle of 1 m radius (5 m in woodlarks), we estimated the proportion of bare ground visible when looking vertically down onto the ground, as well as the average height of the ground vegetation (except for the common redstart, where vegetation height was not measured).
The DSM that was acquired in May 2016 included vegetation height, but the landslide scars had no vegetation.
Firstly, we employ the global vegetation corrected DEM (i.e. Bare-Earth DEM), developed from the SRTM DEM to include both vegetation height and SRTM vegetation signal.
Furthermore, species reacted differentially to varying vegetation height.
Consequently, we chose to investigate vegetation structural attributes we feel are most likely to be affected by feedstock selection and management and relevant to bird community composition: 1) vegetation height and density and 2) variation in vegetation structure.
height = compressed vegetation height.
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CEO of Professional Science Editing for Scientists @ prosciediting.com