Sentence examples for pine plots from inspiring English sources

From two similar jack pine plots, only the one in the southern research site was used for this study.

The inclusion of the pine plots with ≥ 95%% species proportion also complicated the classification and lowered the success rates.

However, the RMSE values of spruce were in particular considerably poorer and the predictions of pine plots in particular were biased (Table 8).

Finally, since the area was known to be strongly dominated by the pine species, it was tested whether information on pure pine plots improved the results.

Fig. 1 Basal area development based on optimal solutions for 15 Scots pine plots, with an initial density of 1500 (a), 2000 (b), and 3000 trees∙ha−1 (c), energy wood price 15 €∙m−3, interest rate 3%%.

Also the predictions using k-MSN were more inaccurate for the groups of spruce and deciduous plots than for total and pine plots (Fig. 4), but considerably more in line with the observed values compared to the SUR models.

Western spruce budworm trajectories appeared to show a consistent temporal evolution of long-duration spectral decline (loss of vegetation) followed by recovery, whereas mountain pine beetle plots exhibited both short- and long-duration spectral declines and variable recovery rates.

Size distributions of longleaf pine across all plots were bimodal with modes at 0 4.9 and 25 29.9 cm in diameter.

Each adult plot contains 150 pine boxes; each baby plot contains 1,000.

The C N mass ratio of pine needlefall in infested plots (∼45) was lower than uninfested plots (∼95) throughout the growing season.

On stand scale however, there was a positive spatial autocorrelation of survey plots including pine trees damaged by moose.