Sentence examples for stem distance from inspiring English sources

The model fitted to the measurements 20 mm or more from pith had significant terms for height within stem, distance from pith, and squared height (Table 2).

Fig. 7 Relationships between DBH and stem distance obtained for different combinations of root reinforcement class (2, 5, 10, and 15 kN m−1) and location (G and PN).

Considering the combination of factors that would lead to 30%% cover for a stem density of 30 and 70 sph (points A and B in Fig. 10), the mean stem distance would be about 18 and 12 m, respectively, meaning that the root system radius should reach 9 and 6 m in order to contribute to lateral root reinforcement at the hillslope scale.

Generally, it can be concluded that planting density that ranges between 330 and 160 sph (corresponding to stem distance of 5.5 and 8 m, respectively) would assure significant root reinforcement for slope stabilisation (>2 kN m−1) and reduce the volume of triggered shallow landslides by up to 100%%.

The LoopIng model shows similar performance (≤ 1 Å) when using the native and the modeled structure when the stem distance error is lower than 2.0 Å.

For testing, given a query loop, we first assign it to the appropriate cluster based on its length and stem distance.

The whole plant was characterized with the stem length (distance from the soil to the highest collar) of main tiller and tiller 4 (the tiller that outgrew from the bud of phytomer 4 on the main stem), the number of leaves produced by the main tiller, the total green and dead (only for greenhouse experiment) leaf number, and the green tiller number.

Fig. 4 Root distribution data fitted using the PN dataset (Douglas et al. 2010), considering four tree densities: 89, 160, 210, and 237 sph (corresponding to mean stem distances (D) of 10, 8, 7, and 6.5 m, respectively).

In favourable growing conditions (such as found in the case of the G dataset), these stem distances would lead to considerable lateral root reinforcement (>15 kN m−1), whereas for the PN dataset, the estimated lateral root reinforcement is about zero.

The proposed model is based on the limit equilibrium principle and accounts for geotechnical soil properties (cohesion, friction angle, unit weight of soil), soil saturation, slope steepness, and brush layer design parameters (number of stems per meter, length and diameter of stems, distance between brush layers).

Gross plant variables such as stem length and internodal distance were measured, and overall plant vigor was assessed.