Sentence examples for low wood density from inspiring English sources

Wood density represents the carbon investment per unit volume of stem with a trade-off generally found between fast (low wood density) and slow (high wood density) growing species.

Successional specialization is of particular interest because second-growth forests account for over 70% of forest cover in tropical regions30 and generally have a greater proportion of low wood density pioneer type species that may be more prone to storm damage.

The positive effect of species-specific wood density on cavity persistence suggests a trade-off in rates of cavity turnover, whereby cavities are produced early but lost quickly in fast-growing (low wood density) pioneer tree species, and produced late but persist much longer in slow-growing (high wood density) climax species.

Pioneers++ refer to a true pioneer community (very low wood density, very low seed mass, very high specific leaf area and very low maximal stature).

[7] have pointed out that using equations like [43] which do not incorporate wood density would overestimate the biomass and thus carbon stocks of a low wood density species such as cacao.

We hypothesize that over time the human-mediated modification of plant-animal interactions can alter the composition of the forest to have a higher proportion of fast-growing, low wood density tree species, diminishing the long-term potential for carbon storage.

These trees are characterized by rapid growth in high light, high mortality (especially in shaded environments), low wood densities, and relatively rapid attainment of reproductive status.

While this simple classification returned generaly poor results (Figure 3), experienced monitors were able to discriminate trees with low wood densities (Figure 3, ANOVA: F2,613 = 11.76, P < 10−4) while inexperienced monitors could not (ANOVA: F2,511 = 0.424, P = 0.655).

Indeed, only experienced monitors were able to discriminate trees with low wood densities.

While this simple classification returned generaly poor results, experienced monitors were able to discriminate trees with low wood densities while inexperienced monitors could not (ANOVA: F2,511 = 0.424, P = 0.655).

In particular, the long-internode (LI28) GF13 seedlot consistently had the highest and the GF14 seedlot the lowest wood density.