Sentence examples for mean breast height from inspiring English sources

Exact(7)

CR1: Measuring the total height of between 1 and 5 randomly selected trees within each plot that are close (± 10% ) to the mean breast height diameter.

For species in the Pinus and Quercus groups, inclusion of the height measurements of 3 trees close (± 10%) of the mean breast height diameter from each plot improved the predictive capacity of the calibrated model.

Where Dow ij is mean breast height outerwood density (kg m−3) of plot j in trial i, N ij is stand density (stems ha−1), a i and b are model parameters, and e ij is the error term.

The Douglas-fir wood density models described in this paper as implemented in Forecaster will operate using the following steps: 1. Predict stand mean breast height outerwood density for age 40 years (D 40ow ).

2. Predict mean breast height wood densities (D ring ) by ring number from pith (R) using the following equations based on Eq. (4) assuming that density of the outer 50 mm of a breast height increment core is centred on ring 29 from pith.

(ii)  CR2: Measuring the total height of the tree of mean breast height diameter, or measuring the height of two trees – the mean and minimum breast height diameters, or measuring the height of three trees – the mean, minimum and maximum breast height diameters within each plot.  .

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Similar(53)

The model predicts Dring iR, the mean breast-height density (kg m−3) of the R th ring from pith in stand i: {Dring}_{iR}=a+left b-Rright)/left(c+dtimes exp left(ftimes Rright)right)+left(1-gtimes exp left(-htimes Rright)right)times {L}_{iR}=a+left b-Rright

For instance, a study conducted in a Douglas-fir plantation in South Island, New Zealand, found that the precision of models to predict forest attributes, such as mean height, volume and mean diameter at breast height (DBH), remained stable until densities of 10 pulses m−2 were culled to 2 3 pulses m−2 [38].

The stand inventories showed the Kinleith Forest stand had a stand density of 550 stems ha−1, basal area of 150.9 m2 ha−1, mean diameter at breast height (DBH) of 59.1 cm, mean top height of 44.9 m, and the Mangatu Forest stand had a stand density of 398 stems ha−1, basal area of 107.6 m2 ha−1, mean diameter at breast height (DBH) of 58.5 cm, and mean height of 32.8 m.

Other significant explanatory variables included those that characterize vegetation structure (mean diameter at breast height, dominant height), climate (annual precipitation, mean temperature of the growing season), and geography (elevation, latitude) depending on the species and fiber attribute being modeled.

The objective of this research was to develop models of Douglas-fir mean top height, basal area, volume, mean diameter (at breast height), green crown height and stand density from LiDAR and stand information.

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